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maintenance
Automatically cleans and organizes project files like Plans.md and session logs based on configurable thresholds. Uses LLM evaluation to suggest cleanups and moves old tasks to archives. Helps prevent file bloat in development workflows.
ai-rag-pipeline
Build RAG (Retrieval Augmented Generation) pipelines with web search and LLMs. Tools: Tavily Search, Exa Search, Exa Answer, Claude, GPT-4, Gemini via OpenRouter. Capabilities: research, fact-checking, grounded responses, knowledge retrieval. Use for: AI agents, research assistants, fact-checkers, knowledge bases. Triggers: rag, retrieval augmented generation, grounded ai, search and answer, research agent, fact checking, knowledge retrieval, ai research, search + llm, web grounded, perplexity alternative, ai with sources, citation, research pipeline
building-with-envoy-gateway
This skill provides detailed guidance for implementing Envoy Gateway in Kubernetes, covering Gateway API, traffic policies, rate limiting, TLS, and AI-specific routing with Envoy AI Gateway. It includes concrete YAML examples, decision tables, and architecture diagrams for production deployments.
typescript-review
Review TypeScript and JavaScript code changes for compliance with Metabase coding standards, style violations, and code quality issues. Use when reviewing pull requests or diffs containing TypeScript/JavaScript code.
analyzing-financial-statements
This skill calculates key financial ratios and metrics from financial statement data for investment analysis
pyopenms
PyOpenMS provides Python bindings to OpenMS for mass spectrometry data analysis. It handles LC-MS/MS proteomics and metabolomics workflows including file I/O for formats like mzML and mzXML, signal processing, feature detection, peptide identification, and quantitative analysis. The documentation includes clear examples for common tasks.
gtm-planning
This skill generates structured go-to-market plans with clear phases for strategy, channel selection, tactics, timeline, and budget. It enforces prerequisites like positioning completion and includes blocker criteria to prevent premature planning. The output is a detailed markdown document ready for stakeholder review.
creating-cursor-rules-skill
Provides detailed guidance for creating effective Cursor IDE rule files. Covers rule anatomy, organization strategies, and best practices with concrete examples. Helps teams document project-specific conventions for AI assistants to follow.
project-awareness
A comprehensive project context awareness skill that provides detailed project state detection, AIWG framework integration, and actionable recommendations for development teams.
skill-enhancer
This skill automatically improves SKILL.md files by extracting examples from reference documentation, adding quick references and FAQs. It provides multiple enhancement modes including local Claude Code, API-based, and manual templates with backup and validation workflows.
devflow-file-standards
Defines file naming, directory structure, and YAML frontmatter conventions for a multi-agent development workflow. It standardizes IDs, paths, and status tracking across 13 agents, ensuring consistency without duplicating agent-specific content rules. The skill acts as a central reference for format standards.
devflow-constitution-quick-ref
Provides a quick reference guide to the CC-DevFlow Constitution v2.0.0, summarizing all 10 articles and Phase -1 gates with key rules, enforcement mechanisms, and scenario-based lookups. Links to the full constitution document rather than duplicating content, following the 'no duplication' principle.
neon-serverless
Configures Neon's PostgreSQL driver for serverless and edge environments like Vercel Edge Functions and AWS Lambda. Provides clear connection patterns, TypeScript examples, and specific guidance on import strategies. Includes practical templates and validation scripts.
gen-env
A comprehensive solution for running multiple isolated project instances locally with excellent documentation covering port allocation, data isolation, browser state separation, and cleanup patterns.
prompting
Provides concrete guidelines for writing effective prompts and managing context for AI agents. Focuses on clarity, signal-to-noise optimization, and just-in-time information loading based on Anthropic's best practices.
product-manager-toolkit
Comprehensive toolkit for product managers including RICE prioritization, customer interview analysis, PRD templates, discovery frameworks, and go-to-market strategies. Use for feature prioritization, user research synthesis, requirement documentation, and product strategy development.
xlsx
This skill enables Claude to create, edit, and analyze Excel files using Python libraries like openpyxl and pandas. It emphasizes using Excel formulas instead of hardcoded values, includes a formula recalculation script with LibreOffice, and provides detailed financial modeling standards. The documentation covers common workflows, error handling, and best practices for spreadsheet operations.
bulk-rna-seq-deseq2-analysis-with-omicverse
This skill guides users through bulk RNA-seq differential expression analysis using PyDESeq2 within the omicverse Python package. It covers data loading, gene ID mapping, statistical testing, visualization, and optional enrichment analysis. The instructions are detailed with concrete code examples and troubleshooting tips for common issues.
code-changelog
Automatically logs AI-generated code changes to markdown files in a 'reviews' folder and serves them via a simple Python HTTP server with an auto-updating HTML viewer. Provides real-time documentation of incremental development steps.
verify
A specialized skill for verifying builds, recovering from errors, and applying review fixes. It enforces strict quality guardrails to prevent test tampering and provides structured workflows for handling failures. Integrates with LSP for diagnostics and leverages memory search for past solutions.
aws-sdk-java-v2-rds
A comprehensive and practical skill for managing AWS RDS using Java SDK v2, covering essential operations with clear code examples and integration patterns for real-world applications.
aws-sdk-java-v2-dynamodb
A comprehensive and practical DynamoDB skill for Java developers using AWS SDK v2, covering essential operations from basic CRUD to advanced patterns with clear examples.
building-with-observability
This skill helps users set up and manage Kubernetes observability stacks including Prometheus, Grafana, Loki, and Jaeger. It provides concrete installation commands, configuration examples, and decision logic for implementing metrics, logging, tracing, and cost monitoring in production environments.
test-driven-development
This skill enforces strict Test-Driven Development workflow by checking for test files before implementation and verifying tests fail first. It provides clear violation handling rules, integrates with debugging and review skills, and includes practical examples for bug fixes. The approach is uncompromising but ensures proper TDD discipline.