mkurman/zorai.

account-management

>

agile-scrum

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albumentations

Fast image augmentation library (Albumentations). 70+ transforms for classification, segmentation, object detection, keypoints, and pose estimation. Optimized OpenCV-based pipeline with unified API across all CV tasks. Supports images, masks, bounding boxes, and keypoints simultaneously. Note: classic Albumentations (MIT) is no longer maintained; successor AlbumentationsX uses AGPL-3.0. For torchvision-native augmentations, use torchvision.transforms.v2.

aml-compliance

Anti-Money Laundering (AML) and Know Your Customer (KYC) compliance workflow. Sanctions screening, PEP detection, transaction monitoring, suspicious activity reporting (SAR), and OFAC compliance.

anki-connect

This skill is for interacting with Anki through AnkiConnect, and should be used whenever a user asks to interact with Anki, including to read or modify decks, notes, cards, models, media, or sync operations.

approval-checkpoint-long-task

Canonical long-task pack for daemon-managed work with deliberate approval checkpoints, status summaries, rollback notes, and mobile-safe governance-aware updates.

auditing-goal-artifacts

Use when reviewing recent zorai goal run outputs, closure markers, ledgers, or evidence bundles to judge whether completion is credible or to identify remaining uncertainty.

autogen

AutoGen (Microsoft) — multi-agent conversation framework. Agent-to-agent chat, code generation & execution, tool use, group chat, and human-in-the-loop. Build collaborative AI systems with specialized agents.

backtrader

Python backtesting framework for trading strategies. Data feeds, brokers, analyzers, and live trading support. Strategy development with commission models, slippage, and signal-based execution.

beautiful-mermaid

Render Mermaid diagrams as SVG and PNG using the Beautiful Mermaid library. Use when the user asks to render a Mermaid diagram.

bentoml

BentoML — model serving and deployment. Build prediction services from any ML framework with OpenAPI/Swagger. Containerize, deploy to Kubernetes, AWS, GCP, Azure. Adaptive batching and GPU support.

biostatistics

Medical biostatistics hypothesis testing toolkit: t-tests, ANOVA, chi-square, Fisher exact, Mann-Whitney, Kruskal-Wallis, sample size calculation, power analysis, multiple testing correction, survival analysis, and clinical trial biostatistics.

board-update

When the user needs to write a monthly or quarterly investor update, prepare a board deck, or communicate company progress to stakeholders.

bookkeeping-automation

>

brand-strategy

>

budgeting-planning

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captum

Captum (PyTorch) — model interpretability and feature attribution. Integrated Gradients, DeepLIFT, SmoothGrad, Occlusion, SHAP approximation, and Layer-wise Relevance Propagation. For vision and text models.

chainladder

Property & casualty insurance loss reserving in Python. Chain ladder, Bornhuetter-Ferguson, Cape Cod, bootstrap simulation, and loss development pattern estimation. Actuarial triangle operations.

chromadb

Chroma — AI-native embedding database. In-process, lightweight vector store with automatic embedding, metadata filtering, and full-text search. Simplest path from prototype to production RAG.

cleanrl

Single-file deep reinforcement learning implementations (CleanRL). High-quality standalone implementations of PPO, DQN, C51, SAC, DDPG, TD3 with research-friendly features. Each algorithm is a self-contained file with ~300-500 lines. Includes Atari, MuJoCo, Procgen, PettingZoo multi-agent, and JAX variants. Use for RL algorithm reference, rapid prototyping, and understanding implementation details.

clinical-trials

ClinicalTrials.gov API client and analysis toolkit. Search, filter, and download trial records. Analyze trial designs, endpoints, enrollment, sponsors, and results. Automate systematic trial discovery.

code-optimizer

>

cold-outreach

When a founder needs to write cold emails or LinkedIn messages to prospects, partners, or investors. Activate when the user mentions cold email, outbound, prospecting, LinkedIn outreach, or needs help getting replies from people who don't know them.

community-discovery

When the user wants to find Slack groups, Discord servers, Reddit communities, forums, or online communities where their target audience hangs out. Also use when the user mentions "where to promote", "find communities", "community marketing", or "distribution channels".

community-marketing

Build and leverage online communities to drive product growth and brand loyalty. Use when the user wants to create a community strategy, grow a Discord or Slack community, manage a forum or subreddit, build brand advocates, increase word-of-mouth, drive community-led growth, engage users post-signup, or turn customers into evangelists. Trigger phrases: \"build a community,\" \"community strategy,\" \"Discord community,\" \"Slack community,\" \"community-led growth,\" \"brand advocates,\" \"user community,\" \"forum strategy,\" \"community engagement,\" \"grow our community,\" \"ambassador program,\" \"community flywheel.\"

compensation-strategy

>

competitor-profiling

When the user wants to research, profile, or analyze competitors from their URLs. Also use when the user mentions 'competitor profile,' 'competitor research,' 'competitor analysis,' 'profile this competitor,' 'analyze competitor,' 'competitive intelligence,' 'competitor deep dive,' 'who are my competitors,' 'competitor landscape,' 'competitor dossier,' 'competitive audit,' or 'research these competitors.' Input is a list of competitor URLs. Output is structured competitor profile markdown files. For creating comparison/alternative pages from profiles, see competitor-alternatives. For sales-specific battle cards, see sales-enablement.

context7

Retrieve up-to-date documentation for software libraries, frameworks, and components via the Context7 API. This skill should be used when looking up documentation for any programming library or framework, finding code examples for specific APIs or features, verifying correct usage of library functions, or obtaining current information about library APIs that may have changed since training.

contract-drafting

>

create-gsd-extension

Create, debug, and iterate on GSD extensions (TypeScript modules that add tools, commands, event hooks, custom UI, and providers to GSD). Use when asked to build an extension, add a tool the LLM can call, register a slash command, hook into GSD events, create custom TUI components, or modify GSD behavior. Triggers on "create extension", "build extension", "add a tool", "register command", "hook into gsd", "custom tool", "gsd plugin", "gsd extension".

create-workflow

Conversational guide for creating valid YAML workflow definitions. Use when asked to "create a workflow", "new workflow definition", "build a workflow", "workflow YAML", "define workflow steps", or "workflow from template".

crewai

CrewAI — multi-agent AI framework. Role-based agents with defined goals, tools, and memory. Hierarchical and sequential task execution. Human input delegation and process orchestration.

crm-management

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customer-research

When the user wants to conduct, analyze, or synthesize customer research. Use when the user mentions "customer research," "ICP research," "talk to customers," "analyze transcripts," "customer interviews," "survey analysis," "support ticket analysis," "voice of customer," "VOC," "build personas," "customer personas," "jobs to be done," "JTBD," "what do customers say," "what are customers struggling with," "Reddit mining," "G2 reviews," "review mining," "digital watering holes," "community research," "forum research," "competitor reviews," "customer sentiment," or "find out why customers churn/convert/buy." Use for both analyzing existing research assets AND gathering new research from online sources. For writing copy informed by research, see copywriting. For acting on research to improve pages, see page-cro.

customer-success-playbook

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customer-support-ops

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daily-brief

Canonical daily brief pack for day-start summaries across tasks, routines, approvals, notices, and optional Gmail/Calendar connectors.

darts

Darts — time series forecasting library by Unit8. Unified API across ARIMA, Prophet, CatBoost, N-BEATS, TFT, TCN, Transformer, and RNN models. Backtesting, probabilistic forecasting, and covariate support.

debug-like-expert

Deep analysis debugging mode for complex issues. Activates methodical investigation protocol with evidence gathering, hypothesis testing, and rigorous verification. Use when standard troubleshooting fails or when issues require systematic root cause analysis.

design-an-interface

Generate multiple radically different interface designs for a module using parallel sub-agents. Use when user wants to design an API, explore interface options, compare module shapes, or mentions "design it twice".

dgl

Deep Graph Library (DGL) — graph neural network framework. GCN, GAT, GraphSAGE, RGCN, and custom message-passing. Heterogeneous graphs, temporal graphs, and large-scale training with mini-batch sampling.

dicom-pipeline

End-to-end DICOM workflow: parsing, anonymization/de-identification, conversion, structured reporting, PACS query/retrieve, and DICOMweb. Build automated medical imaging pipelines.

diffusers

HuggingFace Diffusers library for diffusion models: text-to-image, image-to-image, inpainting, super-resolution. Supports Stable Diffusion, Flux, SDXL, and custom pipelines.

directory-submissions

When the user wants to submit their product to startup, SaaS, AI, agent, MCP, no-code, or review directories for backlinks, domain rating, and discovery. Also use when the user mentions "directory submissions," "submit to directories," "backlinks from directories," "list my product," "submit to Product Hunt," "BetaList," "TAAFT," "Futurepedia," "G2 listing," "Capterra listing," "AlternativeTo," "SaaSHub," "AI directories," "MCP registry," "agent directory," "dofollow backlinks," "launch directories," or "directory tracker." Use this whenever someone is planning the directory layer of a product launch or an ongoing backlink campaign. For the broader launch moment, see launch-strategy. For programmatic SEO pages that should live behind these backlinks, see programmatic-seo. For AI citation optimization, see ai-seo.

domain-model

Grilling session that challenges your plan against the existing domain model, sharpens terminology, and updates documentation (CONTEXT.md, ADRs) inline as decisions crystallise. Use when user wants to stress-test a plan against their project's language and documented decisions.

dowhy

DoWhy (Microsoft) — causal inference library. Causal graph modeling, identification (back-door, front-door, IV), estimation (matching, IPW, double-ML), and refutation/robustness checks for causal claims.

earned-media-outreach

When the user wants to get press coverage, appear on podcasts, or build relationships with journalists and content creators. Also use when the user mentions "podcast guesting", "press outreach", "PR", "media exposure", "get on podcasts", or "journalist outreach".

econml

EconML (Microsoft) — heterogeneous treatment effect estimation. Double ML, Causal Forest, Deep IV, and metalearners (S-Learner, T-Learner, X-Learner). Orthogonal learning for causal effects from observational data.

edit-article

Edit and improve articles by restructuring sections, improving clarity, and tightening prose. Use when user wants to edit, revise, or improve an article draft.

employee-engagement

>

employer-brand

When the user needs to create or improve content that shapes how candidates and the public perceive the company as a place to work.

employment-law

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epidemiology

Disease modeling and epidemiological analysis: SIR/SEIR compartmental models, R0 estimation, outbreak simulation, incidence/prevalence forecasting, and intervention impact modeling.

esg-reporting

ESG (Environmental, Social, Governance) reporting and analytics. SASB, TCFD, GRI, and CDP frameworks. Carbon accounting, supply chain sustainability, diversity metrics, and regulatory disclosure support.

event-hosting

When the user wants to host a tech event, meetup, workshop, or community gathering — especially using Luma. Also use when the user mentions "host an event", "meetup", "workshop", "Luma event", or "community event".

feast

Feast — open-source feature store. Online and offline serving, point-in-time joins, feature validation, and streaming ingestion. Standardizes feature management across training and production.

feedback-synthesis

When the user needs to analyze, categorize, or extract actionable insights from customer feedback across multiple sources, especially feature requests.

fhir

FHIR (Fast Healthcare Interoperability Resources) standard. Tools for reading, writing, and querying healthcare data via FHIR APIs: patients, observations, conditions, medications, procedures. Interop with EHR systems.

financial-modeling

>

financial-reporting

>

fredapi

Federal Reserve Economic Data (FRED) API client. 800,000+ US and international economic time series: GDP, inflation, unemployment, interest rates, industrial production. Direct data access for macro research.

freqtrade

Open-source crypto trading bot. Strategy development in Python, backtesting, hyperparameter optimization, dry-run and live trading. Supports major exchanges via CCXT. Telegram integration for monitoring.

fundraising-email

When the user wants to write an email to an investor — cold outreach, warm intro request, follow-up after a meeting, monthly investor update, or thank-you note. Also activates for "intro email", "investor email", "follow up with VC", or "investor update".

game-design-patterns

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gh

Install and configure the GitHub CLI (gh) for AI agent environments where gh may not be pre-installed and git remotes use local proxies instead of github.com. Provides auto-install script with SHA256 verification and GITHUB_TOKEN auth with anonymous fallback. Use when gh command not found, shutil.which(\"gh\") returns None, need GitHub API access (issues, PRs, releases, workflow runs), or repository operations fail with \"failed to determine base repo\" error. Documents required -R flag for all gh commands in proxy environments. Includes project management: GitHub Projects V2 (gh project), milestones (REST API), issue stories (lifecycle and templates), and label taxonomy management.

git-guardrails-claude-code

Set up Claude Code hooks to block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they execute. Use when user wants to prevent destructive git operations, add git safety hooks, or block git push/reset in Claude Code.

github-workflows

Work with GitHub Actions CI/CD workflows - read live syntax, monitor runs, and debug failures. Use when writing, running, or debugging GitHub Actions workflows.

google-adk

Google Agent Development Kit (ADK). Code-first Python toolkit for building, evaluating, and deploying AI agents. Multi-agent orchestration, tool integration, built-in evaluation, and deployment to Vertex AI.

gpt-image-1-5

Generate and edit images using OpenAI's GPT Image 1.5 model. Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports text-to-image generation and image editing with optional mask. DO NOT read the image file first - use this skill directly with the --input-image parameter.

growth-hacking

>

guardrails-ai

Guardrails AI — LLM output validation and guardrails. Define guardrails as XML/JSON specs, validate outputs against structural and semantic constraints, correct/retry on failure, and audit model behavior.

gymnasium

Standard API for single-agent reinforcement learning environments (Gymnasium). Provides Classic Control, Box2D, Toy Text, MuJoCo, and Atari environments with a unified env.step()/env.reset() interface. For multi-agent RL, use PettingZoo. For algorithm implementations, use stable-baselines3 or CleanRL.

here-be-git

Initialise a git repository with optional agent commit instructions and .gitignore. Use when users say "here be git", "init git", "initialise git", or otherwise indicate they want to set up version control in the current directory.

huggingface-tgi

HuggingFace Text Generation Inference (TGI). High-performance LLM serving with continuous batching, tensor parallelism, watermarking, and OpenAI-compatible API. Native HF model hub integration.

hydra

Configuration framework for complex applications (Hydra). Dynamic hierarchical configuration by composition and override via CLI, YAML, and structured configs. Use for ML experiment management, multi-environment deployment, hyperparameter sweeps, and reproducible research workflows. Integrates with PyTorch Lightning, Weights & Biases, MLflow, and Optuna.

hydra-zen

Pythonic config generation for Hydra (hydra-zen). Eliminates hand-written YAML by generating structured dataclass configs directly from Python objects and functions. Provides make_config, builds, zen, store, and launch utilities for configurable, reproducible, and scalable workflows. Use for typed experiment configuration, Hydra boilerplate reduction, and Python-first ML workflow design.

iec-62304

IEC 62304 medical device software lifecycle framework. Risk classification, software safety classification (A/B/C), design control, verification, validation, and regulatory documentation for FDA/EU MDR submissions.

inbox-calendar-triage

Canonical inbox and calendar triage pack for agenda prep, urgent unread mail, follow-ups, and draft-only response suggestions.

internal-docs

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interview-kit

When the user needs to design an interview process, create interview questions, build scorecards, calibrate interviewers, or evaluate candidates for a role.

investor-research

When the user wants to identify, evaluate, or prioritize potential investors for a fundraising round. Also activates when the user asks "who should I pitch?", "find me investors", "build an investor list", or mentions VC/angel targeting.

job-description

When the user needs to write, review, or improve a job posting for a startup role.

knowledge-base

>

lancedb

LanceDB — serverless vector database for AI. Columnar storage on Lance format, zero-copy access, multimodal search (text + images + audio), and direct DataFrame integration. No separate server.

lead-magnets

When the user wants to create, plan, or optimize a lead magnet for email capture or lead generation. Also use when the user mentions "lead magnet," "gated content," "content upgrade," "downloadable," "ebook," "cheat sheet," "checklist," "template download," "opt-in," "freebie," "PDF download," "resource library," "content offer," "email capture content," "Notion template," "spreadsheet template," or "what should I give away for emails." Use this for planning what to create and how to distribute it. For interactive tools as lead magnets, see free-tool-strategy. For writing the actual content, see copywriting. For the email sequence after capture, see email-sequence.

lead-scoring

When a founder needs to qualify inbound leads, define their ICP, build a lead scoring model, set MQL criteria, or route prospects through pipeline stages. Activate when the user mentions lead scoring, ICP, MQL, SQL, lead qualification, inbound leads, or pipeline design.

lifelines

Survival analysis in Python: Kaplan-Meier, Cox proportional hazard, Aalen additive, parametric models, and competing risks. Censored data handling for churn, clinical, and actuarial applications.

lighteval

All-in-one LLM evaluation toolkit (HuggingFace LightEval). 1000+ tasks with multi-backend support: Accelerate, vLLM, SGLang, Nanotron, TGI, LiteLLM, inference providers, and custom models. Sample-by-sample result exploration, custom task/metric creation. Used by HuggingFace's Leaderboard and Evals team. For pure GPT-style model eval, also consider lm-evaluation-harness.

lm-evaluation-harness

LLM evaluation framework (EleutherAI lm-evaluation-harness). Unified benchmark evaluation for language models with 200+ tasks, support for HuggingFace transformers, vLLM, SGLang, OpenAI API, GGUF, and custom models. Used by HuggingFace Open LLM Leaderboard. Covers MMLU, HellaSwag, ARC, GSM8K, HumanEval, BBH, TruthfulQA, and more.

lorem-ipsum

Generate lorem ipsum placeholder text. This skill should be used when users ask to generate lorem ipsum content, placeholder text, dummy text, or filler text. Supports various structures including plain paragraphs, headings with sections, lists, and continuous text. Output can be saved to a file or used directly as requested by the user.

lsp-code-analysis

Semantic code analysis via LSP. Navigate code (definitions, references, implementations), search symbols, preview refactorings, and get file outlines. Use for exploring unfamiliar codebases or performing safe refactoring.

markdown-converter

Convert documents and files to Markdown using markitdown. Use when converting PDF, Word (.docx), PowerPoint (.pptx), Excel (.xlsx, .xls), HTML, CSV, JSON, XML, images (with EXIF/OCR), audio (with transcription), ZIP archives, YouTube URLs, or EPubs to Markdown format for LLM processing or text analysis.

medcat

Medical Concept Annotation Toolkit. Trainable NLP for extracting clinical concepts from unstructured text. Supports ICD-10, SNOMED CT, RxNorm, UMLS. Active learning for custom medical ontologies.

medical-coding

Medical code mapping and classification tools. ICD-10-CM/PCS, CPT, SNOMED CT, HCPCS, LOINC, RxNorm. Code validation, mapping between terminologies, HCC risk adjustment, and reimbursement modeling.

metaworld

Robotics multi-task and meta-reinforcement learning benchmark (Meta-World). Standardized continuous-control benchmark built on Gymnasium with MT1, MT10, MT50 multi-task suites and ML1, ML10, ML45 meta-learning suites. Supports synchronous and asynchronous vector execution. Use for robotic manipulation benchmarking, multi-task RL, meta-RL adaptation, and evaluating generalization across tasks and goals.

mgrep-code-search

Semantic code search using mgrep for efficient codebase exploration. This skill should be used when searching or exploring codebases with more than 30 non-gitignored files and/or nested directory structures. It provides natural language semantic search that complements traditional grep/ripgrep for finding features, understanding intent, and exploring unfamiliar code.

milvus

Milvus — cloud-native vector database for billion-scale similarity search. GPU-accelerated indexing, hybrid search, multi-vector, streaming, and time travel. Distributed deployment with Kubernetes.

mimic

MIMIC (Medical Information Mart for Intensive Care) database toolkit. Curated ICU data: vitals, labs, medications, notes, diagnoses. Tools for querying MIMIC-III/IV, building ML features, and reproducing benchmarks.

monai

Medical Open Network for AI (MONAI). Framework for deep learning in medical imaging: segmentation, classification, detection, registration. Supports DICOM, NIfTI, PNG. Built on PyTorch with GPU acceleration.

nibabel

Read and write neuroimaging file formats: NIfTI, GIFTI, CIFTI, MGH, Minc, Analyze, SPM. Core I/O for fMRI, diffusion MRI, structural MRI pipelines. Use when handling brain imaging data.

nixtla

Nixtla ecosystem — statsforecast (statistical), neuralforecast (deep learning), hierarchicalforecast, and MLForecast. Production time series forecasting with AutoARIMA, ETS, Theta, Transformers, and ensemble blending.

nnunet

No New U-Net — self-configuring framework for medical image segmentation. Automatically adapts to any dataset. Top performer on biomedical segmentation benchmarks (BraTS, KiTS, etc.).

notion-api

>

nvidia-nemo-guardrails

NVIDIA NeMo Guardrails — programmable guardrails for LLM applications. Colang-based dialog management, topical rails (fact-checking, moderation), safety rails, and security rails for production AI.

obsidian-vault

Search, create, and manage notes in the Obsidian vault with wikilinks and index notes. Use when user wants to find, create, or organize notes in Obsidian.

ollama

Local LLM runner. One-command setup for Llama, Mistral, Gemma, Qwen, DeepSeek, Phi, and 100+ models. OpenAI-compatible API, model management, GPU acceleration, and custom Modelfile creation.

omop-ohdsi

OHDSI (Observational Health Data Sciences and Informatics) OMOP Common Data Model. Tools for converting EHR data to OMOP CDM, running cohort analyses, and population-level estimation. Standard for observational research.

onboarding-flow

When the user needs to design, improve, or audit a post-signup activation flow to get new users to their first value moment. Activate when activation is lagging, time-to-value feels excessive, or first sessions lack impact.

onnx-runtime

ONNX Runtime — cross-platform ML inference optimizer. Convert PyTorch, TensorFlow, scikit-learn models to ONNX. GPU, CPU, and mobile acceleration. Quantization, graph optimization, and custom ops.

open-clip

OpenCLIP — open-source implementation of CLIP trained on LAION-5B/OpenCLIP datasets. Multi-head attention pooling, SigLIP loss variants, and wide model zoo (ViT, ConvNeXt, EVA). Community-driven.

openai-agents-sdk

OpenAI Agents SDK — build agentic workflows with handoffs, guardrails, and tool integration. Single-agent to multi-agent orchestration. Tracing and observability. Python-first SDK from OpenAI.

openai-evals

LLM evaluation framework and registry (OpenAI Evals). Framework for evaluating LLMs and LLM-based systems with a registry of community-contributed eval templates. Supports model-graded evals, classification, simple completion matching, and custom completion functions. Use for systematic LLM quality testing, regression detection, and prompt engineering validation.

openmed

Production-ready medical NLP toolkit (maziyarpanahi/openmed). Entity extraction, assertion detection, PII de-identification, batch processing, REST API, and multilingual support. Covers installation, all model families, configuration, and deployment.

optuna

Hyperparameter optimization framework (Optuna). Define-by-run API with automatic search space construction, state-of-the-art samplers (TPE, CMA-ES, NSGA-II, GPSampler), efficient pruning (Median, Hyperband, ASHA), multi-objective optimization, constrained optimization, distributed parallel execution, and visualization dashboard. Integrates with PyTorch, PyTorch Lightning, TensorFlow, Keras, XGBoost, LightGBM, CatBoost, MLflow, W&B, and scikit-learn.

pandas-datareader

Multi-source financial data reader: FRED, World Bank, OECD, Eurostat, St. Louis Fed, Yahoo, Google, and more. Standard interface for economic and financial time series data ingestion.

partnership-strategy

>

peft

Parameter-Efficient Fine-Tuning (PEFT) library. LoRA, QLoRA, AdaLoRA, IA3, Prefix Tuning, P-Tuning, Prompt Tuning. Fine-tune large models with minimal memory overhead. Hugging Face ecosystem integration.

performance-management

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perplexity-search

Perform AI-powered web searches with real-time information using Perplexity models via LiteLLM and OpenRouter. This skill should be used when conducting web searches for current information, finding recent scientific literature, getting grounded answers with source citations, or accessing information beyond the model knowledge cutoff. Provides access to multiple Perplexity models including Sonar Pro, Sonar Pro Search (advanced agentic search), and Sonar Reasoning Pro through a single OpenRouter API key.

pettingzoo

Multi-agent reinforcement learning environment API (PettingZoo). Standard API for multi-agent RL extending Gymnasium with Agent Environment Cycle (AEC) and Parallel APIs. Includes Atari, Butterfly, Classic, MPE, and SISL environments. For single-agent RL, use Gymnasium. For algorithm implementations, use stable-baselines3 or CleanRL.

pitch-deck

When the user wants to create, review, or restructure a fundraising pitch deck for seed or Series A. Also activates when the user mentions "deck", "pitch", "investor presentation", or "slide structure".

pixel-art-sprites

>

plaid-finance

Plaid financial data API: bank accounts, transactions, balances, income, assets, identity verification, and ACH payments. Connect to 12,000+ financial institutions for personal finance and lending apps.

pr-issue-triage

Canonical PR/Issue triage pack combining repo review queues with work tracker context and approval-gated write-backs.

presentation-design

>

process-docs

When the user needs to create SOPs, playbooks, runbooks, or other operational documentation that defines how a recurring process should be executed.

project-execution

>

promptify

Transform user requests into detailed, precise prompts for AI models. Use when users say "promptify", "promptify this", or explicitly request prompt engineering or improvement of their request for better AI responses.

prophet

Meta Prophet — forecasting at scale. Additive model with yearly/weekly/daily seasonality, holiday effects, changepoints, and trend decomposition. Handles missing data and outliers automatically.

proposal-generation

When a founder needs to create a sales proposal, statement of work, contract, NDA, or master service agreement. Activate when the user mentions proposal, SOW, quote, contract, NDA, MSA, or needs to formalize a deal.

proposal-writing

>

pymc-markets

Bayesian inference for financial markets using PyMC. Stochastic volatility models, regime-switching, Bayesian portfolio optimization, factor models, and Markov chain Monte Carlo for risk estimation.

pyportfolioopt

Portfolio optimization library: mean-variance, Black-Litterman, CVaR optimization, risk parity, Hierarchical Risk Parity (HRP), and CLA. Factor models, shrinkage estimators, and ex-ante risk analysis.

quantlib-python

QuantLib Python bindings for quantitative finance. Pricing and risk analytics for fixed income, equity, FX, credit derivatives, and structured products. Yield curves, options, swaps, bonds, and Monte Carlo simulation.

raindrop-api

>

ray-so-code-snippet

Generate beautiful code snippet images using ray.so. This skill should be used when the user asks to create a code image, code screenshot, code snippet image, or wants to make their code look pretty for sharing. Saves images locally to the current working directory or a user-specified path.

recruiting-ops

>

regulatory-compliance

>

remote-collaboration

>

request-refactor-plan

Create a detailed refactor plan with tiny commits via user interview, then file it as a GitHub issue. Use when user wants to plan a refactor, create a refactoring RFC, or break a refactor into safe incremental steps.

review-mining

When the user wants to research customer pain points, complaints, or sentiment using review platforms like Trustpilot, G2, Capterra, or app stores. Also use when the user mentions "what are users saying", "competitor reviews", "pain points", or "voice of customer research".

revops

When the user wants help with revenue operations, lead lifecycle management, or marketing-to-sales handoff processes. Also use when the user mentions 'RevOps,' 'revenue operations,' 'lead scoring,' 'lead routing,' 'MQL,' 'SQL,' 'pipeline stages,' 'deal desk,' 'CRM automation,' 'marketing-to-sales handoff,' 'data hygiene,' 'leads aren't getting to sales,' 'pipeline management,' 'lead qualification,' or 'when should marketing hand off to sales.' Use this for anything involving the systems and processes that connect marketing to revenue. For cold outreach emails, see cold-email. For email drip campaigns, see email-sequence. For pricing decisions, see pricing-strategy.

riskfolio-lib

Portfolio risk and optimization: mean-variance, risk parity, CVaR, CDaR, worst-case, and robust optimization. Factor models, Black-Litterman, NCO. Supports plotting and interactive dashboards.

rust-compiler-diagnostics

Use when Rust code fails to compile, Clippy reports lints, borrow checker errors appear, lifetimes are unclear, or cargo diagnostics need systematic triage.

rust-programming

Use when writing, reviewing, or refactoring Rust code, especially workspace crates, public APIs, error handling, async code, ownership choices, or performance-sensitive paths.

saas-metrics

>

sales-enablement

When the user wants to create sales collateral, pitch decks, one-pagers, objection handling docs, or demo scripts. Also use when the user mentions 'sales deck,' 'pitch deck,' 'one-pager,' 'leave-behind,' 'objection handling,' 'deal-specific ROI analysis,' 'demo script,' 'talk track,' 'sales playbook,' 'proposal template,' 'buyer persona card,' 'help my sales team,' 'sales materials,' or 'what should I give my sales reps.' Use this for any document or asset that helps a sales team close deals. For competitor comparison pages and battle cards, see competitor-alternatives. For marketing website copy, see copywriting. For cold outreach emails, see cold-email.

sales-script

When a founder needs demo scripts, discovery call frameworks, objection handling, RFP/RFI responses, competitive feature matrices, POC planning, or closing playbooks. Activate for sales calls, demo prep, talk tracks, bid responses, competitor comparisons, or pre-sales engineering.

scaffold-exercises

Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section.

sdv

Synthetic Data Vault (SDV) — generate synthetic tabular data. Single-table, multi-table, and sequential data synthesis. CTGAN, TVAE, CopulaGAN, GaussianCopula. Privacy metrics and evaluation.

setup-pre-commit

Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo. Use when user wants to add pre-commit hooks, set up Husky, configure lint-staged, or add commit-time formatting/typechecking/testing.

simpleitk

Simplified interface to the Insight Toolkit (ITK) for medical image processing. Segmentation, registration, filtering, resampling, morphological operations. Supports DICOM, NIfTI, NRRD, dozens of formats.

soc2-prep

When the user needs to prepare for SOC 2, build a compliance roadmap, assess security posture, quantify security risk, or says "we need SOC 2", "security audit", "compliance", "enterprise customer wants SOC 2", "CISO advice".

sourcing-outreach

When the user needs to write recruiting outreach messages to attract passive candidates or request referrals.

speechbrain

SpeechBrain — PyTorch speech toolkit. ASR, speaker recognition, speech separation, diarization, enhancement, language identification, and TTS. Recipe-based training with pre-trained model zoo.

spreadsheet-modeling

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support-analytics

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support-docs

When the user needs to create help center articles, FAQs, troubleshooting guides, API documentation, or getting-started guides for customers.

synthlabs-curation

Use when SynthLabs dataset curation should run as repeatable background HTTP jobs instead of manual UI work.

synthlabs-generation

Use when you need to drive SynthLabs generation through backend routes instead of the UI.

synthlabs-setup

Use when you need to locate, start, and verify a local SynthLabs backend before API-dependent work.

synthlabs-ui-operator

Use when SynthLabs work must be driven through the visual app for verifier review, data preview, settings changes, DEEP mode, or other browser-led workflows.

tax-strategy

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tensorrt

NVIDIA TensorRT — deep learning inference optimizer. FP16/INT8/INT4 quantization, kernel auto-tuning, layer fusion, and dynamic shapes. Max throughput on NVIDIA GPUs for production inference.

terms-of-service

When the user needs to draft, review, or update terms of service for their SaaS product or web application.

textarena

Text-based game suite for LLM training and evaluation (TextArena). 100+ single-player, two-player, and multi-player text games with an OpenAI Gym-style interface. Designed for benchmarking, self-play, multi-agent RL, and reasoning-focused LLM evaluation. Use for text-game environments, self-play RL, strategic reasoning evaluation, and agent-vs-agent tournaments.

total-segmentator

Tool for robust segmentation of 104+ anatomical structures in CT images. Uses nnUNet-based models for whole-body, organ, and bone segmentation. One-line CLI for comprehensive body-part segmentation.

triage-issue

Triage a bug or issue by exploring the codebase to find root cause, then create a GitHub issue with a TDD-based fix plan. Use when user reports a bug, wants to file an issue, mentions "triage", or wants to investigate and plan a fix for a problem.

ubiquitous-language

Extract a DDD-style ubiquitous language glossary from the current conversation, flagging ambiguities and proposing canonical terms. Saves to UBIQUITOUS_LANGUAGE.md. Use when user wants to define domain terms, build a glossary, harden terminology, create a ubiquitous language, or mentions "domain model" or "DDD".

upstash-redis-kv

Read and write to Upstash Redis-compatible key-value store via REST API. Use when there is a need to save or retrieve key-value data, use Redis features (caching, counters, lists, sets, hashes, sorted sets, etc.) for the current interaction, or when the user explicitly asks to use Upstash or Redis.

userinterface-wiki

UI/UX best practices for web interfaces. Use when reviewing animations, CSS, audio, typography, UX patterns, prefetching, or icon implementations. Covers 11 categories from animation principles to typography. Outputs file:line findings.

video-analyzer

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video-audio-design

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video-production

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video-scriptwriting

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vllm

Fast LLM inference engine. PagedAttention, continuous batching, tensor parallelism, speculative decoding, and prefix caching. OpenAI-compatible API server. Supports Llama, Mistral, Qwen, DeepSeek, and hundreds of models.

wandb

Weights & Biases — ML experiment tracking and visualization. Log metrics, hyperparameters, model checkpoints, and artifacts. Collaborative dashboards, sweep hyperparameter search, and model registry.

watch-monitor

Canonical watch/monitor pack for meaningful change detection across web sources, connectors, repo activity, or triggers, with false-positive suppression and alert summaries.

weaviate

Weaviate — open-source vector database with built-in ML. Hybrid search (vector + keyword), generative search, graph connections, multi-modal (text + image), and automatic schema inference.

zenml

ZenML — ML pipeline orchestration. Connect ML tools (MLflow, W&B, Airflow, Kubeflow) into portable pipelines. Caching, versioning, and cloud-agnostic stack management for production ML workflows.

zipline-reloaded

Zipline Reloaded — event-driven backtesting engine. Minute and daily data, custom factors, pipeline API, risk and performance analytics. Forked from Quantopian's Zipline for continued development.