Browse Skills — Page 189
32,226 public skills · showing 18,801–18,900
- 100/100
mobile-ios-design
wshobson/agents
Master iOS Human Interface Guidelines and SwiftUI patterns for building native iOS apps. Use when designing iOS interfaces, implementing SwiftUI views, or ensuring apps follow Apple's design principles.
- 100/100
mobile-parity
kdlbs/kandev
Ensures Kandev UI work uses native mobile interaction patterns instead of compressed desktop adaptations while preserving desktop/mobile capability parity, responsive behavior, and mobile Playwright E2E coverage. Use when implementing, planning, reviewing, or testing any new feature, page, component, workflow, form, dialog, sidebar, navigation, dashboard, or visual UI change; if work touches frontend or user-facing UI, this skill must run even when user mentions only desktop or says "new feature".
- 20/100
mobile-security-coder
benjaminasterA/antigravity-awesome-skills
Expert in secure mobile coding practices specializing in input
- 20/100
mobile-security-coder-v2
diegosouzapw/awesome-omni-skills
mobile-security-coder workflow skill. Use this skill when the user needs Expert in secure mobile coding practices specializing in input validation, WebView security, and mobile-specific security patterns and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
mobility_analysis
InternScience/scp
Charge Carrier Mobility Analysis - Analyze carrier mobility: calculate new mobility, compute vacuum permittivity, and error analysis. Use this skill for semiconductor physics tasks involving calculate new mobility calculate vacuum permittivity calculate absolute error calculate mean square. Combines 4 tools from 2 SCP server(s).
- 100/100
mobx
TerminalSkills/skills
>-
- 100/100
mocean-automation
ComposioHQ/awesome-claude-skills
"Automate Mocean tasks via Rube MCP (Composio). Always search tools first for current schemas."
- 100/100
mocha-assertions
TheBushidoCollective/han
Use when assertion libraries for Mocha including Chai with expect, should, and assert styles.
- 100/100
mocha-configuration
TheBushidoCollective/han
Use when mocha configuration including reporters, config files, plugins, and CI integration.
- 100/100
mocha-fundamentals
TheBushidoCollective/han
Use when mocha test structure, hooks, and async testing patterns for JavaScript testing.
- 100/100
mockito
evanca/flutter-ai-rules
Uses the Mockito package for mocking in Flutter/Dart tests. Use when generating mocks, stubbing methods, verifying interactions, capturing arguments, or deciding between mocks, fakes, and real objects.
- 100/100
mockoon
TerminalSkills/skills
When the user wants to create mock API servers locally using Mockoon with its GUI or CLI. Also use when the user mentions "mockoon," "API mocking," "mock server," "mock API," "OpenAPI mock," or "local API simulation." For programmatic HTTP mocking, see wiremock.
- 100/100
mocktail
evanca/flutter-ai-rules
Uses the Mocktail package for mocking in Flutter/Dart tests. Use when creating mocks, stubbing methods, verifying interactions, registering fallback values, or deciding between mocks, fakes, and real objects.
- 100/100
moco-automation
ComposioHQ/awesome-claude-skills
"Automate Moco tasks via Rube MCP (Composio). Always search tools first for current schemas."
- 100/100
modal
K-Dense-AI/scientific-agent-skills
Cloud computing platform for running Python on GPUs and serverless infrastructure. Use when deploying AI/ML models, running GPU-accelerated workloads, serving web endpoints, scheduling batch jobs, or scaling Python code to the cloud. Use this skill whenever the user mentions Modal, serverless GPU compute, deploying ML models to the cloud, serving inference endpoints, running batch processing in the cloud, or needs to scale Python workloads beyond their local machine. Also use when the user wants to run code on H100s, A100s, or other cloud GPUs, or needs to create a web API for a model.
- 100/100
Modal Specialist
Community-Access/accessibility-agents
Modal and dialog specialist for web applications. Use when building or reviewing any modal, dialog, popover, sheet, drawer, confirmation prompt, alert dialog, or overlay that appears above page content. Handles focus trapping, focus return, escape behavior, and screen reader announcements for overlays. Applies to any web framework or vanilla HTML/CSS/JS.
- 100/100
modal-logic
Tibsfox/gsd-skill-creator
Extending propositional and predicate logic with modal operators -- necessity and possibility, and their relatives (obligation, knowledge, belief, time). Covers Kripke possible-worlds semantics, accessibility relations, the main modal systems (K, T, S4, S5), translation from natural language, and applications in epistemic, deontic, and temporal reasoning. Use when ordinary logic is insufficient to capture distinctions like "must" vs "might," "knows" vs "believes," "always" vs "sometimes."
- 100/100
modal-serverless-gpu
NousResearch/hermes-agent
Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.
- 100/100
mode-classification
agentlas-ai/Agentlas-OS
Use before routing a /meta-agent request to choose single-agent-creator, team-builder, or agentlas-packager from the user's wording and available files.
- 100/100
mode-design-discipline
microsoft/amplifier-bundle-modes
>
- 100/100
model-audit-tieout
openai/plugins
Use when auditing existing Public Equity Investing models or spreadsheets. Do not use to build a new model from scratch.
- 100/100
model-building
dotnet/efcore
Implementation details for EF Core model building. Use when changing ConventionSet, ModelBuilder, IConvention implementations, ModelRuntimeInitializer, RuntimeModel, or related classes.
- 100/100
model-card
Aperivue/medsci-skills
>
- 100/100
model-compatibility
artokun/comfyui-mcp
Model family compatibility matrix — loaders, resolutions, samplers, CFG, VAE, ControlNet, and LoRA compatibility for SD 1.5, SDXL, Flux, SD3, and video models
- 90/100
model-context
bobmatnyc/claude-mpm-skills
MCP (Model Context Protocol) - Build AI-native servers with tools, resources, and prompts. TypeScript/Python SDKs for Claude Desktop integration.
- 100/100
model-context-builder
bobmatnyc/claude-mpm-skills
MCP (Model Context Protocol) server build and evaluation guide, including local conventions for tool surfaces, config, and testing
- 10/100
model-debugging
pollinations/pollinations
Debug and diagnose model errors in Pollinations services. Analyze logs, find error patterns, identify affected users. For taking action on user tiers, see tier-management skill.
- 100/100
model-deployment
awslabs/agent-plugins
Generates code that deploys fine-tuned models from SageMaker Serverless Model Customization to SageMaker endpoints or Bedrock. Use when the user says "deploy my model", "create an endpoint", "make it available", or asks about deployment options. Identifies the correct deployment pathway (Nova vs OSS), generates deployment code, and handles endpoint configuration.
- 100/100
model-equivariance-auditor
lyndonkl/claude
Verifies that implemented neural network models correctly respect their intended symmetries through systematic equivariance testing, layer-wise isolation, and gradient analysis. Use when testing model equivariance, debugging symmetry bugs, verifying implementation correctness, checking if a model is actually equivariant, or diagnosing why an equivariant model isn't working.
- 100/100
model-evaluation
awslabs/agent-plugins
Generates python code that evaluates SageMaker models. Supports two evaluation types: LLM-as-Judge and Custom Scorer. Use when the user says "evaluate my model", "run a benchmark", "test model performance", "how did my model perform", "compare models", or other similar requests.
- 100/100
model-fallback
aAAaqwq/AGI-Super-Team
模型自动降级与故障切换。当主模型请求失败、超时、达到速率限制或配额耗尽时,自动切换到备用模型,确保服务连续性。支持多供应商、多优先级的智能模型选择,提供健康监控、自动重试和错误恢复机制。
- 100/100
model-health-check
aAAaqwq/AGI-Super-Team
检查已配置模型供应商的连通性、延迟和可用性,用于快速诊断模型侧故障。
- 100/100
model-integration
huggingface/diffusers
>
- 95/100
model-management
pollinations/pollinations
Add, update, or remove text/image/video models. Handles any provider.
- 100/100
model-merging
Orchestra-Research/AI-Research-SKILLs
Merge multiple fine-tuned models using mergekit to combine capabilities without retraining. Use when creating specialized models by blending domain-specific expertise (math + coding + chat), improving performance beyond single models, or experimenting rapidly with model variants. Covers SLERP, TIES-Merging, DARE, Task Arithmetic, linear merging, and production deployment strategies.
- 85/100
model-provider-manager
aAAaqwq/AGI-Super-Team
Unified LLM provider and model configuration, health monitoring, and key management
- 100/100
model-pruning
Orchestra-Research/AI-Research-SKILLs
Reduce LLM size and accelerate inference using pruning techniques like Wanda and SparseGPT. Use when compressing models without retraining, achieving 50% sparsity with minimal accuracy loss, or enabling faster inference on hardware accelerators. Covers unstructured pruning, structured pruning, N:M sparsity, magnitude pruning, and one-shot methods.
- 100/100
model-registry
artokun/comfyui-mcp
Curated download URLs and target directories for every model the comfyui-mcp skills reference — checkpoints, VAEs, text encoders, LoRAs — organized by family (Flux, WAN, LTX, Qwen, Z-Image, SD15/SDXL). Use when downloading models with download_model / download_civitai_model, when a workflow fails with a missing-model error, or when setting up a new machine.
- 100/100
model-routing-golden
github/gh-aw
Maintain model-routing audit golden fixtures and expected outputs.
- 100/100
model-routing-patterns
softspark/ai-toolkit
Multi-model pipelines (Haiku/Sonnet/Opus): cost routing, escalation, fallback chains. Triggers: model routing, Haiku, Sonnet, Opus, escalation, fallback chain.
- 100/100
model-scaffold
Aperivue/medsci-skills
>
- 100/100
model-selection
awslabs/agent-plugins
Selects a base model for the user's use case by querying SageMaker Hub. Use when the user asks which model to use, wants to select or change their base model, mentions a model name or family (e.g., "Llama", "Mistral", "Nova"), or wants to evaluate a base model — always activate even for known model names because the exact Hub model ID must be resolved. Queries available models, presents benchmarks and licenses, and confirms selection.
- 100/100
model-selector
cclank/lanshu-awesome-ai-video-kit
根据用户的视频需求(场景、时长、音频、语言、平台限制、预算、是否需要本地部署/角色一致性等),从 16 个主流 AI 视频模型(12 商业 + 4 开源)中推荐最匹配的 1-3 个,并解释为什么。覆盖商业:Seedance 2.0、HappyHorse 1.0、Kling 3.0、Sora 2、Veo 3.1、**Gemini Omni**(2026-05 新)、Runway Gen-4.5/Aleph、Pika 2.5、Hailuo 02、Hunyuan Video 1.5、Wan 2.7、即梦 AI;开源:LTX-Video 0.9.7、Mochi 1、CogVideoX 5B、Higgsfield Soul。用于"用哪个 AI 视频模型好"、"Sora 还是 Kling"、"国内有什么模型"、"哪个免费"、"哪个支持中文"、"哪个能编辑已有视频"、"哪个能本地部署"、"哪个角色一致性最强"等触发场景。
- 100/100
model-the-partnership-commercials
Significant-Gravitas/skills-catalog
Use when a partnership needs numbers behind the terms: business case, deal profit and loss with sensitivity, guardrail bands, and reusable templates.
- 100/100
model-update
anthropics/financial-services
Update financial models with new data — quarterly earnings, management guidance, macro changes, or revised assumptions. Adjusts estimates, recalculates valuation, and flags material changes. Use after earnings, guidance updates, or when assumptions need refreshing. Triggers on "update model", "plug earnings", "refresh estimates", "update numbers for [company]", "new guidance", or "revise estimates".
- 100/100
model-usage
openclaw/openclaw
Summarize CodexBar local cost logs by model for Codex or Claude, including current or full breakdowns.
- 100/100
model-usage-linux
aAAaqwq/AGI-Super-Team
Track OpenClaw AI token usage and cost per model on Linux by parsing session JSONL files. Use when asked about: token usage, API cost, how much has been spent, which model was used most, usage summary, billing, cost breakdown. Linux replacement for the macOS-only model-usage/CodexBar skill.
- 100/100
model-validation
Aperivue/medsci-skills
>
- 100/100
modelry-automation
ComposioHQ/awesome-claude-skills
"Automate Modelry tasks via Rube MCP (Composio). Always search tools first for current schemas."
- 100/100
modern
bergside/awesome-design-skills
Contemporary editorial style with serif typography, minimal palettes, and clean layouts for polished digital products.
- 100/100
modern-cpp
trailofbits/skills
Guides C++ code toward modern idioms (C++20/23/26). Use when writing new C++ code, modernizing legacy patterns, or working on security-critical C++. Replaces raw pointers with smart pointers, SFINAE with concepts, printf with std::print, error codes with std::expected.
- 100/100
modern-css
ccheney/robust-skills
Proactively apply when creating design systems, component libraries, or any frontend application. Triggers on CSS Grid, Subgrid, Flexbox, Container Queries, :has(), @layer, @scope, CSS nesting, @property, @function, if(), oklch, color-mix, light-dark, relative color, @starting-style, scroll-driven animations, view transitions, anchor positioning, popover, customizable select, content-visibility, logical properties, text-wrap, interpolate-size, clamp, field-sizing, modern CSS, CSS architecture, responsive design, dark mode, theming, design tokens, cascade layers. Use when writing CSS for any web project, choosing layout approaches, building responsive components, implementing dark mode or theming, creating animations or transitions, styling form elements, or modernizing legacy stylesheets. Modern CSS features and best practices for building interfaces with pure native CSS.
- 100/100
modern-drug-rehab-computer
swaruplab/operon
Comprehensive knowledge system for addiction recovery environments, supporting both residential and outpatient (IOP/PHP) patients. Expert in evidence-based treatment modalities (CBT, DBT, MI,
- 100/100
modern-javascript
ccheney/robust-skills
Proactively apply when creating web applications, Node.js services, or any JavaScript project. Triggers on JavaScript, ES6, ES2020, ES2022, ES2024, ES2025, ES2026, modern JS, refactor legacy, array methods, async/await, optional chaining, nullish coalescing, destructuring, spread, rest, template literals, arrow functions, toSorted, toReversed, at, groupBy, iterator helpers, Set union intersection difference, Promise, Promise.try, RegExp.escape, Array.fromAsync, using await using, Temporal, functional programming. Use when writing new JavaScript code, refactoring legacy code, modernizing codebases, implementing functional patterns, checking which ECMAScript edition or runtime supports a feature, or reviewing JS for performance and readability. Modern JavaScript (ES6-ES2026) patterns and best practices.
- 100/100
modern-javascript-patterns
wshobson/agents
Master ES6+ features including async/await, destructuring, spread operators, arrow functions, promises, modules, iterators, generators, and functional programming patterns for writing clean, efficient JavaScript code. Use when refactoring legacy code, implementing modern patterns, or optimizing JavaScript applications.
- 100/100
modern-javascript-patterns
benjaminasterA/antigravity-awesome-skills
Master ES6+ features including async/await, destructuring, spread operators, arrow functions, promises, modules, iterators, generators, and functional programming patterns for writing clean, effici...
- 100/100
modern-javascript-patterns-v2
diegosouzapw/awesome-omni-skills
Modern JavaScript Patterns workflow skill. Use this skill when the user needs Comprehensive guide for mastering modern JavaScript (ES6+) features, functional programming patterns, and best practices for writing clean, maintainable, and performant code and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
modern-jetpack-compose
anhvt52/jetpack-compose-skills
>
- 100/100
modern-python
trailofbits/skills
Configures Python projects with modern tooling (uv, ruff, ty). Use when creating projects, writing standalone scripts, or migrating from pip/Poetry/mypy/black.
- 100/100
modular-decomposition
tech-leads-club/agent-skills
Runs a sequenced monolith-to-modular pipeline that sizes and inventories components, finds shared domain duplication, addresses flattening and hierarchy issues, analyzes coupling, then groups components into candidate domain-aligned units, with optional embedded DDD strategic analysis for bounded contexts. Use when asking how to split a monolith, size components before extraction, find duplicated domain logic, clean up module hierarchy, measure coupling between modules, or group components into services. Do NOT use for phased extraction roadmaps or prioritization without the prior analysis steps (use decomposition-planning-roadmap after this pipeline), end-to-end legacy migration strategy writeups (use legacy-migration-planner), pure infrastructure capacity sizing, or when you only need DDD without the structural pipeline (install domain-analysis standalone).
- 100/100
modular-design-principles
tech-leads-club/agent-skills
>
- 100/100
module-1
langchain-ai/lca-deployment
Teaching instructions for Module 1 (LangGraph Deployment Architecture) — use when module_id is module-1
- 100/100
module-2
langchain-ai/lca-deployment
Teaching instructions for Module 2 (Using your deployment) — use when module_id is module-2
- 100/100
module-3
langchain-ai/lca-deployment
Teaching instructions for Module 3 (Dashboard) — use when module_id is module-3
- 100/100
module-4
langchain-ai/lca-deployment
Teaching instructions for Module 4 (Storage) — use when module_id is module-4
- 100/100
module-5
langchain-ai/lca-deployment
Teaching instructions for Module 5 (Authentication and Authorization) — use when module_id is module-5
- 100/100
module-6
langchain-ai/lca-deployment
Teaching instructions for Module 6 (Deepagents CLI) — use when module_id is module-6
- 100/100
module-audit-agent
wednesday-solutions/ai-agent-skills
Use when asked to audit a module, check its health, or assess whether it should be refactored. Runs structural query, risk check, and test generation automatically.
- 100/100
module-development
microsoft/amplifier-bundle-skills
Guide for creating new Amplifier modules including protocol implementation, entry points, mount functions, and testing patterns. Use when creating new modules or understanding module architecture.
- 100/100
module-map
rohitg00/pro-workflow
Produce a one-screen map of an unfamiliar area of the codebase: entry points, modules, data flow, callers. Designed to be read in fifteen seconds. Use when the user says "I do not know this area", "give me the map", "zoom out", "orient me".
- 100/100
moe-training
Orchestra-Research/AI-Research-SKILLs
Train Mixture of Experts (MoE) models using DeepSpeed or HuggingFace. Use when training large-scale models with limited compute (5× cost reduction vs dense models), implementing sparse architectures like Mixtral 8x7B or DeepSeek-V3, or scaling model capacity without proportional compute increase. Covers MoE architectures, routing mechanisms, load balancing, expert parallelism, and inference optimization.
- 100/100
mofaplus-multi-omics
jaechang-hits/SciAgent-Skills
Multi-Omics Factor Analysis v2 (MOFA+) with mofapy2. Jointly decompose omics layers (scRNA, ATAC, proteomics, methylation) into latent factors capturing major variation. Multi-group designs. AnnData views → MOFA object → train → variance explained → correlate factors with metadata → visualize/cluster → enrich top loadings.
- 95/100
mojo
TerminalSkills/skills
Expert guidance for Mojo, the programming language by Modular that combines Python's usability with C-level performance. Helps developers write high-performance AI/ML code, optimize numerical computations with SIMD and parallelism, and gradually port Python code to Mojo for orders-of-magnitude speedups.
- 100/100
mojo-gpu-fundamentals
modular/skills
The basics of how to program GPUs using Mojo. Use this skill in addition to mojo-syntax when writing Mojo code that targets GPUs or other accelerators. Use targeting code to NVIDIA, AMD, Apple silicon GPUs, or others. Use this skill to overcome misconceptions about how Mojo GPU code is written.
- 100/100
mojo-python-interop
modular/skills
Aids in writing Mojo code that interoperates with Python using current syntax and conventions. Use this skill in addition to mojo-syntax when writing Mojo code that interacts with Python, calls Python libraries from Mojo, or exposes Mojo types/functions to Python. Also use when the user wants to build Python extension modules in Mojo, wrap Mojo structs for Python consumption, or convert between Python and Mojo types.
- 100/100
mojo-syntax
modular/skills
Help to write Mojo code using current syntax and conventions. Always use this skill when writing any Mojo code, including when other Mojo-specific skills (e.g., mojo-gpu-fundamentals) also apply. Use when writing Mojo code, translating projects to Mojo, or otherwise generating Mojo. Use this skill to overcome misconceptions with how Mojo is written.
- 100/100
molecular_docking_pipeline
InternScience/scp
Molecular Docking Pipeline - Complete docking workflow: retrieve protein structure, predict binding pockets, prepare receptor, and dock ligand. Use this skill for structural biology tasks involving retrieve protein data by pdbcode run fpocket convert pdb to pdbqt dock quick molecule docking. Combines 4 tools from 2 SCP server(s).
- 100/100
molecular_fingerprint_analysis
InternScience/scp
Molecular Fingerprint Analysis - Fingerprint analysis: topology descriptors, structure complexity, similarity calculation, and AromaticityAnalysis. Use this skill for cheminformatics tasks involving calculate mol topology calculate mol structure complexity calculate smiles similarity AromaticityAnalyzer. Combines 4 tools from 2 SCP server(s).
- 100/100
molecular_visualization_suite
InternScience/scp
Molecular Visualization Suite - Visualize molecules: convert SMILES to formats, visualize molecule, visualize protein, visualize complex. Use this skill for chemical visualization tasks involving convert smiles to format visualize molecule visualize protein visualize complex. Combines 4 tools from 1 SCP server(s).
- 100/100
molecular-descriptors-calculation
InternScience/scp
Calculate advanced molecular descriptors including shape indices, connectivity indices, and structural features for QSAR and drug discovery.
- 100/100
molecular-dynamics
K-Dense-AI/scientific-agent-skills
Run and analyze molecular dynamics simulations with OpenMM and MDAnalysis. Set up protein/small molecule systems, define force fields, run energy minimization and production MD, analyze trajectories (RMSD, RMSF, contact maps, free energy surfaces). For structural biology, drug binding, and biophysics.
- 100/100
molecular-format-conversion
InternScience/scp
Convert between molecular formats including SMILES, InChI, InChIKey, and SELFIES for cheminformatics applications.
- 100/100
molecular-glue-discovery-agent
swaruplab/operon
AI-powered molecular glue discovery for targeted protein degradation, enabling neo-substrate recruitment and undruggable target degradation through E3 ligase interface modulation.
- 100/100
molecular-properties-calculation
InternScience/scp
Calculate basic molecular properties from SMILES including molecular weight, formula, atom counts, and exact mass.
- 100/100
molecular-property-profiling
InternScience/scp
Comprehensive molecular property analysis covering basic info, hydrophobicity, H-bonding, structural complexity, topology, drug-likeness, charge distribution, and complexity metrics.
- 100/100
molecular-review-workflow
aipoch/medical-research-skills
Generates academic reviews for molecules in diseases using PubMed research. Invoke when user needs biomedical literature review with Vancouver citation format.
- 100/100
molecular-similarity-search
InternScience/scp
Search for similar molecules using Tanimoto similarity with Morgan fingerprints to identify structurally related compounds.
- 100/100
molecule-evolution-agent
swaruplab/operon
Evolve Molecules
- 100/100
molfeat
K-Dense-AI/scientific-agent-skills
Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.
- 100/100
molfeat-molecular-featurization
jaechang-hits/SciAgent-Skills
Molecular featurization hub (100+ featurizers) for ML. SMILES to fingerprints (ECFP, MACCS, MAP4), descriptors (RDKit 2D, Mordred), pretrained embeddings (ChemBERTa, GIN, Graphormer), pharmacophores. Scikit-learn compatible with parallelization/caching. For QSAR, virtual screening, similarity, and molecular DL.
- 100/100
mollie-webhooks
hookdeck/webhook-skills
>
- 55/100
moltbook
elizaOS/eliza
The social network for AI agents. Post, comment, upvote, and create communities.
- 0/100
moltdj
eric861129/SKILLS_All-in-one
SoundCloud for AI bots. Generate tracks and podcasts, share on Moltbook, and earn from tips + royalties.
- 100/100
moltycash
BankrBot/skills
>
- 100/100
mom-test
wondelai/skills
Talk to customers without leading them using Mom Test rules: discuss their life not your idea, ask about specifics in the past, and talk less. Use when the user mentions "customer interviews", "validate my idea", "users say they want it but dont buy", "leading questions", "The Mom Test", "customer feedback bias", or "interview script". Also trigger when preparing user-research questions, interpreting ambiguous feedback, or designing customer-discovery that avoids false positives. Covers commitment and advancement, avoiding compliments, and extracting signal from noise. For product-market fit, see jobs-to-be-done. For rapid prototype testing, see design-sprint.
- 100/100
momentum-planner
aaron-he-zhu/aaron-marketing-skills
Use when the user asks to "keep the launch momentum going after launch week", "plan a changelog / release-notes cadence as GTM", or "is this update worth a relaunch"; produces a T+1→T+30 momentum plan — a launch-moment calendar (milestone / shipped-loop / badge moments only), announcement-tier routing (major = full-channel, medium = targeted, minor = changelog-only), a relaunch legitimacy call, spike-to-owned handoff briefs, and the next Tier-1 moment with launch-stacking spacing. Not for the 30-day content-reuse map or paid amplification execution — use content-amplifier; not for planning the next launch end to end — use launch-tier-planner. 抗第二周断崖/changelog-as-GTM/relaunch/下一发布时刻
- 100/100
monai
mkurman/zorai
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.
- 100/100
monarch-database
jaechang-hits/SciAgent-Skills
Monarch Initiative knowledge graph REST API for disease-gene-phenotype associations and cross-species orthology. MONDO disease-to-gene/phenotype, HP phenotype profiles, cross-species comparisons. Use for rare disease gene prioritization and phenotype-based candidate ranking. For GWAS use gwas-database; for clinical pathogenicity use clinvar-database.
- 50/100
monday
vm0-ai/vm0-skills
Monday.com API for work management. Use when user mentions "Monday.com",
- 100/100
monday-automation
benjaminasterA/antigravity-awesome-skills
Automate Monday.com work management including boards, items, columns, groups, subitems, and updates via Rube MCP (Composio). Always search tools first for current schemas.
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