Browse Skills — Page 88

databricks-agent-bricks

databricks/databricks-agent-skills

Create Agent Bricks: Knowledge Assistants (KA) for document Q&A and Supervisor Agents for multi-agent orchestration (MAS).

databricks-ai-functions

databricks/databricks-agent-skills

Use Databricks built-in AI Functions (ai_classify, ai_extract, ai_summarize, ai_mask, ai_translate, ai_fix_grammar, ai_gen, ai_analyze_sentiment, ai_similarity, ai_parse_document, ai_query, ai_forecast) to add AI capabilities directly to SQL and PySpark pipelines without managing model endpoints. Also covers document parsing and building custom RAG pipelines (parse → chunk → index → query).

databricks-aibi-dashboards

databricks/databricks-agent-skills

Create Databricks AI/BI dashboards. Must use when creating, updating, or deploying Lakeview dashboards as Databricks Dashboard have a unique json structure. CRITICAL: You MUST test ALL SQL queries via CLI BEFORE deploying. Follow guidelines strictly.

databricks-apps

databricks/databricks-agent-skills

Build apps on Databricks Apps platform. Use when asked to create dashboards, data apps, analytics tools, or visualizations. Evaluates data access patterns (analytics vs Lakebase synced tables) before scaffolding. Invoke BEFORE starting implementation.

databricks-apps-python

databricks/databricks-agent-skills

Builds Databricks applications. Prefers AppKit (TypeScript + React SDK) for new apps; falls back to Python frameworks (Dash, Streamlit, Gradio, Flask, FastAPI, Reflex) when Python is required. Handles OAuth authorization, app resources, SQL warehouse and Lakebase connectivity, model serving, foundation model APIs, and deployment. Use when building web apps, dashboards, ML demos, or REST APIs for Databricks, or when the user mentions AppKit, Streamlit, Dash, Gradio, Flask, FastAPI, Reflex, or Databricks app.

databricks-core

databricks/databricks-agent-skills

Databricks CLI operations: auth, profiles, data exploration, and bundles. Contains up-to-date guidelines for Databricks-related CLI tasks.

databricks-dabs

databricks/databricks-agent-skills

Create, configure, validate, deploy, run, and manage DABs — Declarative Automation Bundles (formerly Databricks Asset Bundles) — for Databricks resources including dashboards, jobs, pipelines, alerts, volumes, and apps

databricks-dbsql

databricks/databricks-agent-skills

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databricks-docs

databricks/databricks-agent-skills

Databricks documentation reference via llms.txt index. Use when other skills do not cover a topic, looking up unfamiliar Databricks features, or needing authoritative docs on APIs, configurations, or platform capabilities.

databricks-execution-compute

databricks/databricks-agent-skills

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databricks-iceberg

databricks/databricks-agent-skills

Apache Iceberg tables on Databricks — Managed Iceberg tables, External Iceberg Reads (fka Uniform), Compatibility Mode, Iceberg REST Catalog (IRC), Iceberg v3, Snowflake interop, PyIceberg, OSS Spark, external engine access and credential vending. Use when creating Iceberg tables, enabling External Iceberg Reads (uniform) on Delta tables (including Streaming Tables and Materialized Views via compatibility mode), configuring external engines to read Databricks tables via Unity Catalog IRC, integrating with Snowflake catalog to read Foreign Iceberg tables

databricks-jobs

databricks/databricks-agent-skills

Develop and deploy Lakeflow Jobs on Databricks via DABs, Python SDK, or the CLI. Use when creating data engineering jobs with notebooks, Python wheels, SQL, dbt, or pipelines. Invoke BEFORE starting implementation.

databricks-lakebase

databricks/databricks-agent-skills

Databricks Lakebase Postgres: projects, scaling, connectivity, Lakebase synced tables, and Data API. Use when asked about Lakebase databases, OLTP storage, or connecting apps to Postgres on Databricks.

databricks-metric-views

databricks/databricks-agent-skills

Unity Catalog metric views: define, create, query, and manage governed business metrics in YAML. Use when building standardized KPIs, revenue metrics, order analytics, or any reusable business metrics that need consistent definitions across teams and tools.

databricks-mlflow-evaluation

databricks/databricks-agent-skills

MLflow 3 GenAI agent evaluation. Use when writing mlflow.genai.evaluate() code, creating @scorer functions, using built-in scorers (Guidelines, Correctness, Safety, RetrievalGroundedness), building eval datasets from traces, setting up trace ingestion and production monitoring, aligning judges with MemAlign from domain expert feedback, or running optimize_prompts() with GEPA for automated prompt improvement.

databricks-model-serving

databricks/databricks-agent-skills

Manage Databricks Model Serving endpoints via CLI. Use when asked to create, configure, query, or manage model serving endpoints for LLM inference, custom models, or external models.

databricks-pipelines

databricks/databricks-agent-skills

Develop Lakeflow Spark Declarative Pipelines (formerly Delta Live Tables) on Databricks. Use when building batch or streaming data pipelines with Python or SQL. Invoke BEFORE starting implementation.

databricks-python-sdk

databricks/databricks-agent-skills

Databricks development guidance including Python SDK, Databricks Connect, CLI, and REST API. Use when working with databricks-sdk, databricks-connect, or Databricks APIs.

databricks-serverless-migration

databricks/databricks-agent-skills

Migrate Databricks workloads from classic compute to serverless compute. Scans code for serverless compatibility issues, provides concrete fixes for the serverless Spark Connect architecture, and guides the full migration to serverless environments. Use for classic-to-serverless migrations, serverless code compatibility checks, or writing new serverless-compatible notebooks and jobs. Not for classic DBR version upgrades or cluster configuration changes within classic compute.

databricks-spark-structured-streaming

databricks/databricks-agent-skills

Comprehensive guide to Spark Structured Streaming for production workloads. Use when building streaming pipelines, working with Kafka ingestion, implementing Real-Time Mode (RTM), configuring triggers (processingTime, availableNow), handling stateful operations with watermarks, optimizing checkpoints, performing stream-stream or stream-static joins, writing to multiple sinks, or tuning streaming cost and performance.

databricks-synthetic-data-gen

databricks/databricks-agent-skills

Generate realistic synthetic data using Spark + Faker (strongly recommended). Supports serverless execution, multiple output formats (Parquet/JSON/CSV/Delta), and scales from thousands to millions of rows. For small datasets (<10K rows), can optionally generate locally and upload to volumes. Use when user mentions 'synthetic data', 'test data', 'generate data', 'demo dataset', 'Faker', or 'sample data'.

databricks-unity-catalog

databricks/databricks-agent-skills

Unity Catalog system tables and volumes. Use when querying system tables (audit, lineage, billing) or working with volume file operations (upload, download, list files in /Volumes/).

databricks-unstructured-pdf-generation

databricks/databricks-agent-skills

Generate PDF documents from HTML and upload to Unity Catalog volumes. Use for creating test PDFs, demo documents, reports, or evaluation datasets.

databricks-vector-search

databricks/databricks-agent-skills

Patterns for Databricks Vector Search: create endpoints and indexes, query with filters, manage embeddings. Use when building RAG applications, semantic search, or similarity matching. Covers both storage-optimized and standard endpoints.

databricks-zerobus-ingest

databricks/databricks-agent-skills

Build Zerobus Ingest clients for near real-time data ingestion into Databricks Delta tables via gRPC. Use when creating producers that write directly to Unity Catalog tables without a message bus, working with the Zerobus Ingest SDK in Python/Java/Go/TypeScript/Rust, generating Protobuf schemas from UC tables, or implementing stream-based ingestion with ACK handling and retry logic.

databuddy

databuddy-analytics/Databuddy

Work effectively in the Databuddy monorepo. Use when the user asks to build, debug, review, or refactor anything in Databuddy, including the dashboard, api, basket ingest service, links service, docs app, uptime service, SDK, tracker, auth, RPC, database schema, ClickHouse, or shared packages.

databuddy-integration

databuddy-analytics/Databuddy

Help users integrate Databuddy into their own products. Use when the user wants to install or use Databuddy's SDK, React or Vue component, tracker helpers, Node SDK, server-side feature flags, REST API, event tracking endpoint, or LLM observability package.

datacommons-client

swaruplab/operon

Work with Data Commons, a platform providing programmatic access to public statistical data from global sources. Use this skill when working with demographic data, economic indicators, health statistics, environmental data, or any public datasets available through Data Commons. Applicable for querying population statistics, GDP figures, unemployment rates, disease prevalence, geographic entity resolution, and exploring relationships between statistical entities.

datadog

jjmartres/opencode

Use this skill when you need to search Datadog logs, query metrics, tail logs in real-time, trace distributed requests, investigate errors, compare time periods, find log patterns, check service health, or export observability data.

datadog-api

anthropics/claude-tag-plugins

Query and manage Datadog monitoring data — logs, metrics, monitors, dashboards, events, SLOs, traces, and incidents. Use this whenever the user wants to search logs, look at a metric, check which monitors are alerting, investigate a trace, pull SLO status, mute an alert, or ask "what's happening in Datadog" — even if they don't say "API". Also use it for any URL under *.datadoghq.com. Always start from this skill when interacting with this service — its bundled scripts and recipes are the fastest path.

datadog-apm

automateyournetwork/netclaw

Analyze distributed traces and service performance in Datadog APM.

datadog-automation

benjaminasterA/antigravity-awesome-skills

Automate Datadog tasks via Rube MCP (Composio): query metrics, search logs, manage monitors/dashboards, create events and downtimes. Always search tools first for current schemas.

datadog-automation-v2

diegosouzapw/awesome-omni-skills

Datadog Automation via Rube MCP workflow skill. Use this skill when the user needs Automate Datadog tasks via Rube MCP (Composio): query metrics, search logs, manage monitors/dashboards, create events and downtimes. Always search tools first for current schemas and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

datadog-incidents

automateyournetwork/netclaw

Manage incidents in Datadog Incident Management.

datadog-investigate

ClipboardHealth/core-utils

Investigate production issues by querying Datadog logs, metrics, and APM traces, then correlating findings with the codebase. Use this skill whenever the user mentions production errors, Datadog, observability, log investigation, latency spikes, error rate increases, 500s, trace IDs, monitor alerts, or wants to debug any service issue in a deployed environment.

datadog-logs

ComposioHQ/awesome-codex-skills

Query and filter Datadog logs from the shell using the Composio CLI. Run scoped log searches, pivot across services/environments, and export structured JSON for downstream agents instead of click-driving the Datadog UI.

datadog-metrics

automateyournetwork/netclaw

Query metrics and explore dashboards in Datadog.

datagma-automation

ComposioHQ/awesome-claude-skills

"Automate Datagma tasks via Rube MCP (Composio). Always search tools first for current schemas."

datamol

K-Dense-AI/scientific-agent-skills

Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery including SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters, use rdkit directly.

datamol-cheminformatics

jaechang-hits/SciAgent-Skills

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datanalysis-credit-risk

github/awesome-copilot

Credit risk data cleaning and variable screening pipeline for pre-loan modeling. Use when working with raw credit data that needs quality assessment, missing value analysis, or variable selection before modeling. it covers data loading and formatting, abnormal period filtering, missing rate calculation, high-missing variable removal,low-IV variable filtering, high-PSI variable removal, Null Importance denoising, high-correlation variable removal, and cleaning report generation. Applicable scenarios arecredit risk data cleaning, variable screening, pre-loan modeling preprocessing.

datapack-builder

anthropics/financial-services

Build professional financial services data packs from various sources including CIMs, offering memorandums, SEC filings, web search, or MCP servers. Extract, normalize, and standardize financial data into investment committee-ready Excel workbooks with consistent structure, proper formatting, and documented assumptions. Use for M&A due diligence, private equity analysis, investment committee materials, and standardizing financial reporting across portfolio companies. Do not use for simple financial calculations or working with already-completed data packs.

datarobot-automation

ComposioHQ/awesome-claude-skills

"Automate Datarobot tasks via Rube MCP (Composio). Always search tools first for current schemas."

dataset-curation

wshobson/agents

Prepare, format, and validate datasets for supervised fine-tuning and preference training. Use when converting raw data into training format, applying chat templates, configuring sequence packing, generating synthetic training data, or writing a dataset card before a run.

dataset-evaluation

awslabs/agent-plugins

Validates dataset formatting and quality for SageMaker model fine-tuning (SFT, DPO, or RLVR). Use when the user says "is my dataset okay", "evaluate my data", "check my training data", "I have my own data", or before starting any fine-tuning job. Detects file format, checks schema compliance against the selected model and technique, and reports whether the data is ready for training or evaluation.

dataset-exploration

Significant-Gravitas/skills-catalog

Profile and explore a dataset to understand its shape, quality, and patterns. Use when encountering a new table or file, checking null rates and column distributions, spotting data quality issues like duplicates or suspicious values, or deciding which dimensions and metrics to analyze.

dataset-transformation

awslabs/agent-plugins

Generates code that transforms datasets between ML schemas for model training or evaluation. Use when the user says "transform", "convert", "reformat", "change the format", or when a dataset's schema needs to change to match the target format — always use this skill for format changes rather than writing inline transformation code. Supports OpenAI chat, SageMaker SFT/DPO/RLVR/RLAIF, HuggingFace preference, Bedrock Nova, VERL, and custom JSONL formats from local files or S3.

dataverse-python-advanced-patterns

github/awesome-copilot

'Generate production code for Dataverse SDK using advanced patterns, error handling, and optimization techniques.'

dataverse-python-production-code

github/awesome-copilot

'Generate production-ready Python code using Dataverse SDK with error handling, optimization, and best practices'

dataverse-python-quickstart

github/awesome-copilot

'Generate Python SDK setup + CRUD + bulk + paging snippets using official patterns.'

dataverse-python-usecase-builder

github/awesome-copilot

'Generate complete solutions for specific Dataverse SDK use cases with architecture recommendations'

dataviz-craft

QinghongLin/data2story-skill

A shared reference library for editorial-grade data-visualization craft — Vega-Lite-first with a D3 fallback for charts Vega-Lite can't express. Read by the Designer at chart selection (intent → ranked chart type), the Programmer at implementation (editorial Vega-Lite recipes, annotation layers, axis/label de-clutter, encoding craft), and the Auditor/Critic for chart-quality review. It encodes the FT Visual Vocabulary intent taxonomy, the Cleveland–McGill channel-accuracy ordering, the BBC bbplot de-clutter ruleset, and colorblind-safe encoding rules. Not a pipeline stage — a craft source, like frontend-design.

date-calculator

aipoch/medical-research-skills

Calculate medical date windows including gestational age, estimated delivery dates, and follow-up visit scheduling. Produces structured JSON output for clinical research and trial coordination workflows.

datenpanne-meldung

Klotzkette/claude-fuer-deutsches-recht

Begleitet Verantwortliche und Berater bei der Prüfung der Meldepflicht nach Art. 33 DSGVO (72-Stunden-Frist an Aufsichtsbehörde) und der Benachrichtigungspflicht nach Art. 34 DSGVO (betroffene Personen), einschließlich Dokumentation. Lädt bei Datenpannen, Sicherheitsvorfällen, unberechtigten Zugriffen und Datenverlust.

datenschutzrecht-anpassen

Klotzkette/claude-fuer-deutsches-recht

Praxisprofil gezielt anpassen, ohne das komplette Interview zu wiederholen. Auslöser: Nutzer möchte eine bestimmte Einstellung ändern (z.B. Aufsichtsbehörde, AVV-Dealbreaker, Systemliste), oder ein Skill hat eine Standardeinstellung gemeldet, die nicht passt.

datenschutzrecht-kaltstart-interview

Klotzkette/claude-fuer-deutsches-recht

Ersteinrichtung des Datenschutzrecht-Plugins – erlernt Ihre Datenschutzpraxis und schreibt CLAUDE.md aus Interview und Ausgangsdokumenten. Auslöser: erster Start, CLAUDE.md fehlt oder enthält Platzhalter, Nutzer sagt „Plugin einrichten\", „konfigurieren\", „neu starten\" oder „Interview wiederholen\".

datenschutzrecht-mandat-arbeitsbereich

Klotzkette/claude-fuer-deutsches-recht

Mandat-Arbeitsbereiche für Mehrmandat-Kanzleien verwalten: anlegen, auflisten, wechseln, schließen. Stellt sicher, dass Datenschutzmandate mandatsübergreifend isoliert bleiben (kein Kontext-Leak zwischen Mandaten). Für internen Unternehmenseinsatz nicht relevant.

datetime-tool

openakita/openakita

Get current time, format dates, calculate date differences, and convert timezones. Use this skill when the user asks about time, dates, timezone conversions, weekdays, or needs date calculations and formatting in any locale.

davinci-resolve

TerminalSkills/skills

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dawn

seaworld008/Commonly-used-high-value-skills

Proposes exactly one personal side-project idea per invocation, sized to a 1-3 day MVP. Targets CLI, automation, LLM, DX, productivity, and data-viz angles; avoids clichés like TODO apps, weather apps, and pomodoro timers. Output is an 8-section brief including a ready-to-paste coding-agent prompt. Use for morning/daily idea rituals and weekend-hack ideation. Don''t use for existing-product feature proposals (Spark), dialogue brainstorming (Riff), or prototype implementation (Forge).

dax-authoring

microsoft/aitour27-BRK390-building-ai-applications-with-microsoft-databases-and-fabric

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day-one-patch

striderZA/OpenCodeGameStudios

Prepare a day-one patch for a game launch. Scopes, prioritises, implements, and QA-gates a focused patch addressing known issues discovered after gold master but before or immediately after public launch. Treats the patch as a mini-sprint with its own QA gate and rollback plan.

daytona-electron-test

different-ai/openwork

Test the real Electron app on Daytona: create sandbox, start services, connect via CDP, create workspaces, drive sessions, and verify settings. Use when the user says 'test on Daytona', 'run the app on Daytona', 'Daytona dry run', 'test Electron remotely', or 'reproduce on Daytona'.

db

oracle/skills

Oracle Database skills for administration, SQL and PL/SQL development, performance tuning, security, ORDS, SQLcl, migrations, frameworks, Oracle Container Registry guidance, and agent-safe database workflows.

db-admin

EliasOulkadi/shokunin

PostgreSQL database administration — backup/restore (pg_dump, PITR, WAL archiving), health monitoring (connections, bloat, cache hit ratio, dead tuples), connection pooling (PgBouncer), replication (streaming, logical), vacuum/autovacuum tuning, and scheduled backups with retention. Use when user asks to backup a database, restore from backup, monitor database health, set up replication, or perform DBA tasks. Do NOT use for schema design (use db-sculptor), query optimization (use db-sculptor), or migration planning (use db-sculptor).

db-backup

TerminalSkills/skills

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db-migrator

laolaoshiren/claude-code-skills-zh

数据库迁移助手 - Schema 对比、迁移脚本生成

db-review

tranhieutt/software_development_department

Reviews database schemas, queries, and migrations for correctness, performance, security, and best practices. Use when reviewing SQL migration files or when the user mentions database review, schema review, or query audit.

db-sculptor

EliasOulkadi/shokunin

Design database schemas with Prisma/Drizzle, PostgreSQL index strategy (B-tree, GIN, GiST, BRIN, Hash), query optimization (EXPLAIN ANALYZE), migration safety (expand/contract, zero-downtime), and sharding/partitioning. Use when user asks to design schema, create migrations, optimize slow queries, add indexes, choose between SQL/NoSQL, or set up Prisma/Drizzle. Do NOT use for data warehouse dimensional modeling, ETL pipeline design, or non-relational (MongoDB, DynamoDB) schema design.

db-seed

jezweb/claude-skills

Generate database seed scripts with realistic sample data. Reads Drizzle schemas or SQL migrations, respects foreign key ordering, produces idempotent TypeScript or SQL seed files. Handles D1 batch limits, unique constraints, and domain-appropriate data. Use when populating dev/demo/test databases. Triggers: 'seed database', 'seed data', 'sample data', 'populate database', 'db seed', 'test data', 'demo data', 'generate fixtures'.

db9

vm0-ai/vm0-skills

db9.ai serverless database for AI agents — Postgres-compatible with built-in embeddings, full-text search, vector search, and database branching. Use when the user wants to spin up disposable databases, run SQL, manage tokens, create branches, or query embeddings.

dbeaver

partme-ai/full-stack-skills

"Guides DBeaver usage for database connection management, SQL development, data import/export, and ER diagram generation across MySQL, PostgreSQL, Oracle, MongoDB, and other databases. Use when the user needs to configure DBeaver connections, write queries in the SQL editor, export data, or generate ER diagrams."

dbhub

bytebase/dbhub

Guide for querying databases through DBHub MCP server. Use this skill whenever you need to explore database schemas, inspect tables, or run SQL queries via DBHub's MCP tools (search_objects, execute_sql). Activates on any database query task, schema exploration, data retrieval, or SQL execution through MCP — even if the user just says "check the database" or "find me some data." This skill ensures you follow the correct explore-first workflow instead of guessing table structures.

dbos-golang

benjaminasterA/antigravity-awesome-skills

DBOS Go SDK for building reliable, fault-tolerant applications with durable workflows. Use this skill when writing Go code with DBOS, creating workflows and steps, using queues, using the DBOS Clie...

dbos-golang-v2

diegosouzapw/awesome-omni-skills

DBOS Go Best Practices workflow skill. Use this skill when the user needs Guide for building reliable, fault-tolerant Go applications with DBOS durable workflows. Use when adding DBOS to existing Go code, creating workflows and steps, or using queues for concurrency control and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

dbos-python

benjaminasterA/antigravity-awesome-skills

DBOS Python SDK for building reliable, fault-tolerant applications with durable workflows. Use this skill when writing Python code with DBOS, creating workflows and steps, using queues, using DBOSC...

dbos-python-v2

diegosouzapw/awesome-omni-skills

DBOS Python Best Practices workflow skill. Use this skill when the user needs Guide for building reliable, fault-tolerant Python applications with DBOS durable workflows. Use when adding DBOS to existing Python code, creating workflows and steps, or using queues for concurrency control and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

dbos-typescript

benjaminasterA/antigravity-awesome-skills

DBOS TypeScript SDK for building reliable, fault-tolerant applications with durable workflows. Use this skill when writing TypeScript code with DBOS, creating workflows and steps, using queues, usi...

dbos-typescript-v2

diegosouzapw/awesome-omni-skills

DBOS TypeScript Best Practices workflow skill. Use this skill when the user needs Guide for building reliable, fault-tolerant TypeScript applications with DBOS durable workflows. Use when adding DBOS to existing TypeScript code, creating workflows and steps, or using queues for concurrency control and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

dbsnp-database

jaechang-hits/SciAgent-Skills

Query NCBI dbSNP for SNP records by rsID, gene, or region via E-utilities and Variation Services REST API. Retrieve alleles, MAF, variant class (SNV/indel/MNV), clinical links, cross-DB IDs (ClinVar, dbVar, 1000G). Free; 3 req/sec (10 with key). For clinical pathogenicity use clinvar-database; for population frequencies use gnomad-database.

dbt_ingest

Kaelio/ktx

Map dbt `schema.yml` / `properties.yml` models and sources into ktx semantic-layer overlays and column notes. Covers `sources:` vs `models:`, column `data_tests` (not_null, unique, accepted_values, relationships), and how bundle-time writes complement manifest backfill from git sync. Load when the WorkUnit's `skillNames` includes `dbt_ingest` or when raw files are dbt YAML under `models/` / `sources/`.

dbt-transformation-patterns

wshobson/agents

Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.

dbt-transformation-patterns

benjaminasterA/antigravity-awesome-skills

Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or ...

dbt-transformation-patterns-v2

diegosouzapw/awesome-omni-skills

dbt Transformation Patterns workflow skill. Use this skill when the user needs Production-ready patterns for dbt (data build tool) including model organization, testing strategies, documentation, and incremental processing and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

dbt-transformation-patterns-v3

diegosouzapw/awesome-omni-skills

dbt Transformation Patterns workflow skill. Use this skill when the user needs Production-ready patterns for dbt (data build tool) including model organization, testing strategies, documentation, and incremental processing and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

dc-power-flow

elizaOS/eliza

DC power flow analysis for power systems. Use when computing power flows using DC approximation, building susceptance matrices, calculating line flows and loading percentages, or performing sensitivity analysis on transmission networks.

dce-edge

vercel/next.js

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dcf-model

NousResearch/hermes-agent

Build institutional-quality DCF valuation models in Excel — revenue projections, FCF build, WACC, terminal value, Bear/Base/Bull scenarios, 5x5 sensitivity tables. Pairs with excel-author. Use for intrinsic-value equity analysis.

dcf-model

anthropics/financial-services

Real DCF (Discounted Cash Flow) model creation for equity valuation. Retrieves financial data from SEC filings and analyst reports, builds comprehensive cash flow projections with proper WACC calculations, performs sensitivity analysis, and outputs professional Excel models with executive summaries. Use when users need to value a company using DCF methodology, request intrinsic value analysis, or ask for detailed financial modeling with growth projections and terminal value calculations.

dcf-model-builder

openai/plugins

Use when building public-equity DCF valuation workbooks. Default to the banker formula workbook path for new model builds; use deterministic exports only for controlled support calculations or explicit lightweight runs. Do not use for standalone workbook audits; use model-audit-tieout.

dd-checklist

anthropics/financial-services

Generate and track comprehensive due diligence checklists tailored to the target company's sector, deal type, and complexity. Covers all major workstreams with request lists, status tracking, and red flag escalation. Use when kicking off diligence, organizing a data room review, or tracking outstanding items. Triggers on "dd checklist", "due diligence tracker", "diligence request list", "what do we still need", or "data room review".

dd-findings-extraktion

Klotzkette/claude-fuer-deutsches-recht

Liest Datenraum-Dokumente und extrahiert Issues nach den Hauskategorien und Wesentlichkeitsschwellen im Findings-Report-Format. Laden wenn der Nutzer Datenraum pruefen, DD-Issues extrahieren aus [Ordner], Due-Diligence-Pruefung oder was ist im VDR sagt oder auf VDR-Dokumente hinweist.

dd-meeting-prep

anthropics/financial-services

Prepare for due diligence meetings — management presentations, expert network calls, customer references, and advisor sessions. Generates targeted question lists, benchmarks to reference, and red flags to probe. Use before any diligence meeting or call. Triggers on "prep for management meeting", "diligence call prep", "expert call questions", "customer reference questions", or "meeting prep for [company]".

ddd-clean-architecture

partme-ai/full-stack-skills

"Provides comprehensive guidance for clean architecture including layer separation, dependency rules, and architectural patterns. Use when the user asks about clean architecture, needs to implement clean architecture principles, or structure applications with clean architecture."

ddd-cola

partme-ai/full-stack-skills

"Provides comprehensive guidance for COLA architecture including adapter layer, application layer, domain layer, and infrastructure layer. Use when the user asks about COLA, needs to implement COLA architecture, structure applications with COLA, or work with COLA patterns."

ddd-context-mapping

benjaminasterA/antigravity-awesome-skills

Map relationships between bounded contexts and define integration contracts using DDD context mapping patterns.

ddd-context-mapping-v2

diegosouzapw/awesome-omni-skills

DDD Context Mapping workflow skill. Use this skill when the user needs Map relationships between bounded contexts and define integration contracts using DDD context mapping patterns and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

ddd-context-mapping-v3

diegosouzapw/awesome-omni-skills

DDD Context Mapping workflow skill. Use this skill when the user needs Map relationships between bounded contexts and define integration contracts using DDD context mapping patterns and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

ddd-event-driven

partme-ai/full-stack-skills

"Provides comprehensive guidance for event-driven architecture including domain events, event sourcing, CQRS, and event patterns. Use when the user asks about event-driven architecture, needs to implement event-driven systems, or work with domain events."

ddd-hexagonal-architecture

partme-ai/full-stack-skills

"Provides comprehensive guidance for hexagonal architecture including ports and adapters, domain isolation, and dependency inversion. Use when the user asks about hexagonal architecture, needs to implement ports and adapters pattern, or structure applications with hexagonal architecture."