浏览 greyhaven-ai 维护的已发布 AI 技能，比较用途与说明，并通过来源仓库了解安装方式。
已收录技能
43收录技能的仓库 Stars 合计
817仓库 Forks
86平均每个技能的仓库 Stars
19同一仓库中的多个技能可能共享 Stars，合计包含重复仓库数据。
Comprehensive documentation systems design including structure, generation, maintenance, and automation. Use when designing documentation systems, automating documentation generation, or managing large-scale do...
Meta-level plugin suite auditor that uses subagents to analyze any plugin for usability improvements, missing agents, duplication, and workflow optimizations. Generates comprehensive reports with user-approved...
AI-powered intelligent debugging with stack trace analysis, error pattern recognition, and automated fix suggestions. Use when debugging complex errors, analyzing stack traces, or performing root cause analysis...
Multi-agent workflow orchestration with state persistence, handoff patterns, and resumable workflows. Use when building multi-agent workflows, coordinating complex tasks, or implementing resumable processes. Tr...
DevOps and infrastructure troubleshooting for Cloudflare Workers, PlanetScale PostgreSQL, and distributed systems. Use when debugging deployment issues, infrastructure problems, connection errors, or performanc...
Design effective MCP tools and Claude Code integrations using the consolidation principle. Fewer, better-designed tools dramatically improve agent success rates. Use when creating MCP servers, designing tool in...
Design RESTful APIs following Grey Haven standards - FastAPI routes, Pydantic schemas, HTTP status codes, pagination, filtering, error responses, OpenAPI docs, and multi-tenant patterns. Use when creating API e...
Deploy TanStack Start applications to Cloudflare Workers/Pages with GitHub Actions, Doppler, Wrangler, database migrations, and rollback procedures. Use when deploying Grey Haven applications.
Create comprehensive ontological documentation for Grey Haven systems - extract domain concepts from TanStack Start and FastAPI codebases, model semantic relationships, generate visual representations of system...
Build LLM-powered applications and pipelines using proven methodology - task-model fit analysis, pipeline architecture, structured outputs, file-based state, and cost estimation. Use when building AI features,...
Multi-mode code quality analysis covering security reviews (OWASP Top 10), clarity refactoring (readability rules), and synthesis analysis (cross-file issues). Use when reviewing code for security vulnerabiliti...
Comprehensive data validation using Pydantic v2 with data quality monitoring and schema alignment for PlanetScale PostgreSQL. Use when implementing API validation, database schema alignment, or data quality ass...
Organize Grey Haven projects following standard structures for TanStack Start (frontend) and FastAPI (backend). Use when creating new projects, organizing files, or refactoring project layout.
Comprehensive Claude Code plugin auditing skill for validating structure, detecting deprecated patterns, and recommending best practices based on the latest changelog. Use when auditing plugins, checking for de...
Production-ready monitoring, logging, and tracing using Prometheus, Grafana, OpenTelemetry, DataDog, and Sentry. Use when setting up production monitoring, implementing SLOs, distributed tracing, or performance...
Master TDD orchestration with multi-agent coordination, strict red-green-refactor enforcement, automated test generation, coverage tracking, and >90% coverage quality gates. Coordinates tdd-python, tdd-typescri...
Generate production-ready project scaffolds for Grey Haven stack with Cloudflare Workers, React + TypeScript, Python + Pydantic, PlanetScale, proper structure, and configuration. Use when starting new projects,...
Design and implement long-term memory systems for AI agents using vector stores, knowledge graphs, and hybrid approaches. Includes benchmarks and decision frameworks. Use when building persistent agent memory,...
Identify memory leaks, inefficient allocations, and optimization opportunities in JavaScript/TypeScript and Python applications. Analyze heap snapshots, allocation patterns, garbage collection, and memory reten...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。