Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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data-pipeline-monitoring
Monitor and troubleshoot dual-pipeline data collection systems on GCP. This skill should be used when checking pipeline health, viewing logs, diagnosing failures, or monitoring long-running operations for data collection workflows. Supports Cloud Run Jobs (batch pipelines) and VM systemd services (real-time streams).
majiayu000/claude-skill-registry 163
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zellij-plugin-dev
Develop Zellij plugins with Rust/WASM, API reference, event system, UI rendering, plugin lifecycle, and real-world examples from diverse open source plugins
majiayu000/claude-skill-registry 163
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data-management
Design and manage data storage effectively. Use when working with databases, schemas, or data migrations. Covers schema design, migrations, and data integrity.
majiayu000/claude-skill-registry 163
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review-agents-md
Creates minimal, effective AGENTS.md files using progressive disclosure. Triggers on "create agents.md", "refactor agents.md", "review my agents.md", "claude.md", or questions about agent configuration files. Also triggers proactively when a project is missing AGENTS.md.
majiayu000/claude-skill-registry 163
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code-maturity-assessor
Systematic code maturity assessment using Trail of Bits' 9-category framework. Analyzes codebase for arithmetic safety, auditing practices, access controls, complexity, decentralization, documentation, MEV risks, low-level code, and testing. Produces professional scorecard with evidence-based ratings and actionable recommendations. (project, gitignored)
majiayu000/claude-skill-registry 163
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railway
Deploys applications on Railway with zero-config detection, databases, and automatic CI/CD. Use when deploying Node.js apps, setting up databases, or needing simple PaaS deployment.
majiayu000/claude-skill-registry 163
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scikit-learn
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.
majiayu000/claude-skill-registry 163
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reviewing-platform-abstraction
Validates platform abstraction compliance - ensures rendering code uses IRendererAPI interfaces, no direct OpenGL in engine core, proper namespace isolation. Reviews graphics features and guides alternative backend implementation.
majiayu000/claude-skill-registry 163
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extract-transcripts
Extract readable transcripts from Claude Code and Codex CLI session JSONL files
majiayu000/claude-skill-registry 163
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sam-template-builder
Sam Template Builder - Auto-activating skill for AWS Skills.
Triggers on: sam template builder, sam template builder
Part of the AWS Skills skill category.
majiayu000/claude-skill-registry 163
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generate-questions
Generate high-quality bilingual programming quiz questions for Codle. Use this skill when creating new quiz questions that test deep understanding rather than rote memorization.
majiayu000/claude-skill-registry 163
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libresource
libresource - Typed resource management with access control. ResourceIndex stores and retrieves resources with policy-based authorization. toInstance converts objects to typed instances. toResourceId parses URI strings. createResourceIndex factory. Use for persisting structured data, managing entities, and enforcing access control.
majiayu000/claude-skill-registry 163
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Prow Job Analyze Test Failure
Analyze a failed test by inspecting the code in the current project and artifacts in Prow CI job. Provide a detailed analysis of the test failure in a pre-defined format.
majiayu000/claude-skill-registry 163
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proof-composer
Validates entire engineering proof chain. Verifies architecture, backend maps, backend code, standardization, frontend types, infrastructure topology all compose correctly. This is the final DEPLOYMENT GATE - deployment blocked if proof chain invalid. Use when engineering thread completes all actions.
majiayu000/claude-skill-registry 163
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linear-multi-env-setup
Configure Linear across development, staging, and production environments.
Use when setting up multi-environment deployments, managing per-environment API keys,
or implementing environment-specific Linear configurations.
Trigger with phrases like "linear environments", "linear staging",
"linear dev prod", "linear environment setup", "multi-environment linear".
majiayu000/claude-skill-registry 163
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refactoring-agent
majiayu000/claude-skill-registry 163
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Skill_Forge_Master
Arquitecto y generador de Skills. Define, estructura y registra nuevas capacidades para el agente Antigravity.
majiayu000/claude-skill-registry 163
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azure-ai-evaluation-py
Azure AI Evaluation SDK for Python. Use for evaluating generative AI applications with quality, safety, and custom evaluators.
Triggers: "azure-ai-evaluation", "evaluators", "GroundednessEvaluator", "evaluate", "AI quality metrics".
majiayu000/claude-skill-registry 163
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research-curator
Add new resources to the research directory with comprehensive documentation. Use when user provides a URL, repository, or tool to research and document for future reference. Triggers on phrases like "add to research", "document this tool", "research this", or when given URLs to novel agentic development resources.
majiayu000/claude-skill-registry 163
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lean4-memories
This skill should be used when working on Lean 4 formalization projects to maintain persistent memory of successful proof patterns, failed approaches, project conventions, and user preferences across sessions using MCP memory server integration
majiayu000/claude-skill-registry 163
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building-agent-tools
Guide for creating effective tools for AI agents. Use when building MCP tools, agent APIs, or any tool interface that agents will consume. Focuses on token efficiency, meaningful context, and proper namespacing.
majiayu000/claude-skill-registry 163
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researching-phases
Use this skill when researching how to implement a phase standalone, investigating implementation approaches before planning, or re-researching after planning is complete. Triggers include "research phase", "investigate phase", "how to implement", "research implementation", and "phase research".
majiayu000/claude-skill-registry 163
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serena-memory
Gestion de la mémoire projet avec Serena MCP. Utiliser pour stocker et récupérer des informations persistantes sur le projet, les décisions architecturales, et le contexte entre sessions.
majiayu000/claude-skill-registry 163
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build-jira-document-format
Builds complex ADF (Atlassian Document Format) documents with advanced patterns, templates, and specialized builders. Use when creating sophisticated Jira descriptions, epics with structure, rich content documents, or implementing builder patterns for fluent APIs. Trigger keywords: "ADF template", "document builder", "complex description", "fluent API", "epic structure", "formatted issue", "rich content", "builder pattern", "EpicBuilder", "IssueBuilder", "document template", "nested content", "advanced formatting". Works with Python 3.10+, jira_tool.formatter module, and Jira REST API v3.
majiayu000/claude-skill-registry 163