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context-engineering
A reference guide for managing context in LLM agent systems. It explains context components like system prompts and tool outputs, then provides concrete strategies like summarization and observation masking to reduce token usage. Includes practical examples for optimizing Claude commands and skills.
agentdb-optimization
Provides concrete optimization techniques for AgentDB vector databases, including quantization methods (binary, scalar, product) for 4-32x memory reduction, HNSW indexing for 150x faster search, caching strategies, and batch operations. Includes specific performance benchmarks and configuration examples.
visual-testing-advanced
Provides detailed guidance for implementing visual regression testing using Playwright and Percy. Covers baseline capture, dynamic content masking, responsive testing, and AI-powered diff analysis. Includes concrete code examples for common scenarios and configuration options.
serp-analysis
A well-structured SERP analysis framework providing systematic methodology for intent classification, feature identification, and competitive analysis with clear output templates.
wheels-view-generator
Generates CFWheels view templates with correct query handling, form helpers, and association patterns. Specifically prevents common CFML errors like query/array confusion and incorrect form helper usage. Provides production-tested examples for index, show, form, and layout views.
wheels-routing-generator
Generates routing configurations for Wheels CFML applications, covering RESTful resources, nested routes, custom patterns, and route constraints. Provides clear examples for common web application patterns like blogs, e-commerce, and APIs. Includes best practices and debugging guidance.
condition-based-waiting
Provides a concrete pattern for replacing arbitrary timeouts in tests with condition polling. Fixes flaky tests by waiting for actual state changes instead of guessing timing. Includes clear before/after examples, decision flow, and common mistake patterns.
seaborn
This skill provides comprehensive guidance for using Seaborn to create statistical visualizations in Python. It covers both function and object interfaces, explains when to use different plot types, and includes practical patterns for EDA and publication figures. The documentation addresses common troubleshooting scenarios and integrates well with matplotlib.
marketing-social-media
This skill provides a detailed operational framework for social media marketing across major platforms. It focuses on sustainable practices with clear content typology, engagement metrics, and distribution workflows. The guide separates core principles from optional automation, offering actionable tables and checklists for implementation.
concept-workflow
End-to-end workflow for creating complete JavaScript concept documentation, orchestrating all skills from research to final review
string-database
This skill provides Python functions to query the STRING database for protein-protein interactions across 5000+ species. It handles identifier mapping, network retrieval with confidence thresholds, functional enrichment analysis, and generates network visualizations. The documentation includes practical examples for common bioinformatics workflows.
get-available-resources
Detects CPU, GPU, memory, and disk resources to provide data-driven recommendations for computational tasks. Outputs a JSON file with hardware specs and suggests appropriate libraries (Dask, PyTorch, etc.) based on available resources. Helps decide between parallel processing, GPU acceleration, or memory-efficient strategies before running intensive jobs.
constant-time-analysis
Detects timing side-channel vulnerabilities in cryptographic code. Use when implementing or reviewing crypto code, encountering division on secrets, secret-dependent branches, or constant-time programming questions in C, C++, Go, Rust, Swift, Java, Kotlin, C#, PHP, JavaScript, TypeScript, Python, or Ruby.
fix-lint
Helps fix oxlint errors and warnings in the OneKey codebase. Use when running yarn lint and encountering warnings, cleaning up code before committing, or fixing spellcheck, unused variable, or other linting warnings.
implementing-new-modules
This skill guides developers through implementing new MultiQC modules for bioinformatics tools. It provides detailed steps for creating parsers, adding visualizations, writing tests, and submitting pull requests. The instructions cover both single-tool and multi-subtool architectures with specific code patterns and common pitfalls to avoid.
api-integration
A comprehensive guide for integrating OpenAPI specifications with React apps using MCP, featuring excellent type safety, query layer patterns, and practical implementation details.
test-design
This skill provides concrete testing methodology with pyramid distribution guidelines, framework-specific patterns, and anti-pattern examples. It covers Jest and Pytest with practical code samples for unit, integration, and E2E testing strategies.
gemini-cli
Integrates Google's Gemini CLI into Claude's workflow for code generation, review, and web research. Provides specific commands for different tasks, handles rate limits, and explains how to process Gemini's JSON output. Useful for getting a second AI opinion or current web information.
coding-agent
This Skill provides programmatic control over coding agents (Codex, Claude Code, OpenCode, Pi) through bash commands with PTY support. It enables background process management, parallel task execution, and integrates with git workflows for code reviews and issue fixing. The documentation emphasizes critical requirements like PTY mode and git repo initialization.
matlab
Provides MATLAB/Octave script generation for matrix operations, linear algebra, plotting, and data analysis. Includes cross-platform compatibility guidance and practical examples for common scientific computing tasks. Focuses on generating executable code rather than running computations directly.
treatment-plans
Generates structured LaTeX/PDF treatment plans for medical professionals with SMART goals, evidence-based interventions, and mandatory visual schematics. Focuses on concise 3-4 page documents with HIPAA compliance and professional formatting across clinical specialties.
pydicom
Provides guidance for using pydicom to read, write, and manipulate DICOM medical imaging files. Covers pixel data extraction, metadata handling, format conversion, compression, and anonymization. Includes installation instructions, code examples for common workflows, and troubleshooting tips for compression issues.
agent-evaluation
Provides a detailed framework for evaluating Claude Code agents and skills, covering evaluation methods, metrics, and practical implementation guidance. Focuses on outcome-based assessment rather than exact execution paths, with specific metrics for different evaluation scenarios.
claude-api
This skill provides detailed guidance for using the Claude Messages API with structured outputs, covering JSON schema validation, prompt caching, streaming, and tool use. It documents 12 common errors with specific solutions and keeps up with API changes like model deprecations and new beta features.