Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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new-process-step
Add a new type of process step to the VSM builder with custom visualization
majiayu000/claude-skill-registry 163
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policyengine-district-analysis
Analyze policy impacts for congressional districts and representatives' constituents. Use when the user mentions a specific district (NY-17, CA-52), a representative's name, or asks about geographic policy impacts at district level. Provides HuggingFace district datasets.
majiayu000/claude-skill-registry 163
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jest-generator
Generate Jest unit tests for JavaScript/TypeScript with mocking, coverage. Use for JS/TS modules, React components, test generation, or encountering missing coverage, improper mocking, test structure errors.
majiayu000/claude-skill-registry 163
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ppt-rajskill
Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, or any other presentation tasks
majiayu000/claude-skill-registry 163
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discover-distributed-systems
Automatically discover distributed systems skills when working with consensus, CRDTs, replication, partitioning, and distributed algorithms
majiayu000/claude-skill-registry 163
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loop
Execute task with Ralph Loop pattern: Execute -> Validate -> Iterate until VERIFIED_DONE. Enforces iteration limits per model (Claude: 25, MiniMax: 50, MiniMax-lightning: 100). Use when: (1) iterative fixes needed, (2) running until quality passes, (3) automated task completion. Triggers: /loop, 'loop until done', 'iterate', 'keep trying', 'fix until passing'.
majiayu000/claude-skill-registry 163
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gemini-fetch
Bypass blocked sites via Gemini CLI. Use when WebFetch fails with 403/blocked errors on Reddit, LinkedIn, X, Medium, etc.
majiayu000/claude-skill-registry 163
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ruby-integration
This skill is for writing integrations to the Ruby SDK. Claude acts as the engineer implementing LLM provider or agentic framework integrations. Use when adding support for OpenAI-like providers, Anthropic-like providers, or agent frameworks. Covers TDD workflow, comprehensive testing (streaming/non-streaming/tokens/multimodal), defensive coding, MCP validation, and StandardRB compliance.
majiayu000/claude-skill-registry 163
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34-openai-agents-sdk
Create your OpenAI Agents SDK skill in one prompt, then learn to improve it throughout the chapter
majiayu000/claude-skill-registry 163
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react-effects
Guidelines for when to use (and avoid) useEffect in React components
majiayu000/claude-skill-registry 163
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research-assessor
Extracts and assesses research methodology, claims, evidence, and infrastructure from research papers in HASS disciplines. Evaluates transparency, reproducibility, and credibility through systematic extraction (eight-pass workflow, Pass 0-7) and credibility assessment (research approach classification, quality gating, and repliCATS Seven Signals evaluation adapted for HASS).
majiayu000/claude-skill-registry 163
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smart-bug-fix
Intelligent bug fixing workflow combining root cause analysis, multi-model reasoning, Codex auto-fix, and comprehensive testing. Uses RCA agent, Codex iteration, and validation to systematically fix bugs.
majiayu000/claude-skill-registry 163
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mailgun
Comprehensive assistance with mailgun
majiayu000/claude-skill-registry 163
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database-adapter
データベースアダプター（PostgreSQL/MySQL両対応）の開発・修正を行う際に使用。SqlExecutorパターン、マイグレーション、DB固有SQL実装時に役立つ。
majiayu000/claude-skill-registry 163
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effect-logging-discipline
Enforce Effect.log over console.log in TMNL. Effect-native logging provides structured output, dynamic log levels, annotations, spans, and observability integration.
majiayu000/claude-skill-registry 163
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Modify Generated Code
Workflow for modifying generated code in Baseplate, including template extraction, generator updates, and project synchronization.
majiayu000/claude-skill-registry 163
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feature-arch
React feature-based architecture guidelines for scalable applications (formerly feature-architecture). This skill should be used when writing, reviewing, or refactoring React code to ensure proper feature organization. Triggers on tasks involving project structure, feature organization, module boundaries, cross-feature imports, data fetching patterns, or component composition.
majiayu000/claude-skill-registry 163
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rlm
Use RLM (Recursive Language Models) for verified code execution, calculations, data analysis, and task decomposition. Executes Python code iteratively until producing verified results - no LLM guessing.
majiayu000/claude-skill-registry 163
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ggterm-plot
Create terminal data visualizations using Grammar of Graphics. Use when plotting data, creating charts, graphing, visualizing distributions, or when the user mentions plot, chart, graph, histogram, scatter, boxplot, or visualize.
majiayu000/claude-skill-registry 163
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AgentDB Learning Plugins
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
majiayu000/claude-skill-registry 163
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model-export-helper
Assist with model export helper operations. Auto-activating skill for ML Deployment.
Triggers on: model export helper, model export helper
Part of the ML Deployment skill category. Use when working with model export helper functionality. Trigger with phrases like "model export helper", "model helper", "model".
majiayu000/claude-skill-registry 163
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guidance
Control LLM output with regex and grammars, guarantee valid JSON/XML/code generation, enforce structured formats, and build multi-step workflows with Guidance - Microsoft Research's constrained generation framework
majiayu000/claude-skill-registry 163
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nielsen-error-recovery
Diseña mensajes de error claros que ayuden a los usuarios a recuperarse. Use cuando implemente manejo de errores, validaciones, o estados de fallo en la interfaz.
majiayu000/claude-skill-registry 163
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mlops
MLOps engineering covering ML pipeline design, model versioning, experiment tracking, deployment strategies, drift detection, and monitoring for production ML systems with tools like MLflow, Kubeflow, and model registries
majiayu000/claude-skill-registry 163