探索 MCP Server 与 Agent Skill

io.github.poshan0126/dotclaude/refactor

Safely refactor code with test coverage as a safety net. Use `--diff` to simplify just the current working diff before committing.

io.github.PramodDutta/qaskills/docker-testcontainers

Integration testing with real dependencies in throwaway Docker containers using the Testcontainers Node.js API - GenericContainer, exposed ports, wait strategies, module containers, Docker Compose environments, and reliable cleanup.

io.github.x-cmd/x-cmd/agent-browser

Browser automation via Chrome/Chromium CDP — open, snapshot, click, screenshot. For testing web apps, mobile layouts, and automated interactions without Playwright/Puppeteer.

io.github.bytedance/deer-flow/blocking-io-guard

Ensure async-path backend code that could block the asyncio event loop is protected by a teeth-verified runtime anchor in tests/blocking_io/. Use when changing backend Python under app/, packages/harness/deerflow/, or scripts/, when running a blocking-IO triage round over the whole repo, or when a reviewer/CI asks for blocking-IO coverage. Runs a deterministic scan (changed-lines or full-repo), routes each candidate, drafts/extends an anchor, and proves it fails when the blocking IO regresses.

io.github.github/awesome-copilot/pinecone-rag

Build production RAG pipelines and persistent agent memory using Pinecone as the vector database backend. ALWAYS USE THIS SKILL when the user mentions Pinecone, wants to index documents for semantic search, build a retrieval-augmented generation system, store agent memory across sessions, implement hybrid search, or connect an LLM to a searchable knowledge base — even if they don't say "Pinecone" explicitly. Also use when the user asks about vector databases for RAG, namespace isolation for multi-tenant agents, embedding pipelines, or scaling a knowledge base beyond what local storage can handle. DO NOT use for local-only vector stores (Chroma, FAISS, pgvector) or pure keyword search with no semantic component.

io.github.gradio-app/gradio/frontend-unit-testing

Write comprehensive, behaviour-driven unit tests for Gradio frontend Svelte components using Vitest browser mode, Playwright, and the @self/tootils test utilities.

io.github.K-Dense-AI/scientific-agent-skills/experimental-design

Design experiments and studies BEFORE data is collected — choosing a design, randomizing, blocking, and laying out treatment combinations so the results will actually be interpretable. Use whenever someone is planning a study, asks how to assign subjects/samples to groups, mentions randomization, blocking, stratification, controls, factorial or fractional-factorial designs, design of experiments (DOE), screening many factors, response-surface optimization, crossover or repeated-measures or split-plot designs, cluster/group randomization, Latin squares, plate layouts, batch/run-order effects, replication vs. pseudoreplication, or sequential/adaptive/group-sequential designs. Trigger this even for informal phrasings like "how should I set up this experiment", "how do I avoid confounding", "what's the best way to test these 6 factors", or "assign these mice to conditions". For computing the sample size or power once the design is chosen, use statistical-power; for analyzing data already collected, use statistica

io.github.civitai/civitai/deploy-status

Check civitai PROD deployment status across the live Tekton -> Flux -> Flagger chain on the DataPacket cluster (kubectl, read-only). Tekton/Flagger cluster state is the primary truth; the GitHub Deployments API is kept as a public cross-check. Use to see where a deploy is in the chain, watch it to completion, or debug a build/canary failure.

io.github.mycelium-io/mycelium/cursor-e2e

Run end-to-end smoke tests for the Mycelium cursor adapter. Verifies cursor-agent prereqs, single-host dispatch, multi-host dispatch through the hub, cross-family negotiation with claude_code/openclaw, workspace asset drift, and auth failures. Use when validating the cursor integration on a fresh install, after touching cursor-family code (`integrations/cursor/**`, `daemon/dispatch.py`, `daemon/runner.py`), or after upgrading `cursor-agent` itself.

io.github.SethGammon/Citadel/refactor

Safe multi-file refactoring with automatic rollback. Establishes a type/test baseline, plans all changes, executes file-by-file, and verifies zero regressions. Reverts if verification fails after two fix attempts. Handles renames, extracts, moves, splits, merges, and inlines.

io.github.MCPJam/inspector/create-mcp-eval

Generate comprehensive eval tests for any MCP server using @mcpjam/sdk. Supports Jest and Vitest with deterministic and LLM-driven test patterns.

io.github.alirezarezvani/claude-skills/mcp-server-builder

Design and ship production-ready MCP (Model Context Protocol) servers from OpenAPI contracts instead of hand-written tool wrappers. Python and TypeScript support, schema validation, safe evolution. Use when exposing an existing API as an MCP server, building tool integrations for Claude or Codex or Cursor, or scaffolding an MCP project from scratch.

io.github.tursodatabase/turso/yield-injections

Use when working with Turso yield injection or synthetic failure injection machinery for safe resumable state-machine boundaries, including YieldInjector, FailureInjector, YieldPointMarker, inject_transition_yield!, inject_io_yield!, inject_transition_failure!, CommitYieldPoint, CheckpointYieldPoint, CursorYieldPoint, deterministic interleaving tests, abandoned statement/commit tests, and concurrent-simulator yield plans.

io.github.alirezarezvani/claude-skills/slo-architect

Use when defining, reviewing, or operating SLOs/SLIs/error budgets. Triggers on "define an SLO", "what should our SLO be", "error budget", "burn rate", "SLI", "service level objective", "Google SRE workbook", "multi-window burn-rate alert", or any reliability-target question. Ships SLO designer, error-budget calculator with multi-window burn-rate thresholds, and SLO reviewer that catches the common bugs (target too aggressive, window too short, conflicting SLOs, no SLI definition). 4 references on SLO principles + SLI design + error budget math + composition with feature-flags-architect/chaos-engineering/kubernetes-operator. NOT a generic observability skill — specifically the SLO discipline.

io.github.alirezarezvani/claude-skills/chaos-engineering

Use when planning, running, or learning from chaos engineering experiments. Triggers on "chaos experiment", "fault injection", "gameday", "resilience test", "blast radius", "steady state", "abort criteria", "Chaos Toolkit", "Chaos Mesh", "Litmus", "Gremlin", "AWS FIS", or any deliberate failure-injection question. Ships experiment designer, blast-radius calculator, and postmortem generator (all stdlib Python), 4 references on chaos principles + experiment design + attack taxonomy + tooling landscape, and a /chaos-experiment slash command. Composes with feature-flags-architect (kill switches as abort triggers) and kubernetes-operator (common chaos targets).

io.github.alirezarezvani/claude-skills/api-design-reviewer

Comprehensive REST API design review with automated linting, breaking-change detection, and design scorecards. Catches inconsistent conventions, missing versioning, and design smells before APIs ship. Use when reviewing a PR that adds or changes API endpoints, auditing an existing API for v2 migration, or establishing API standards for a team.

io.github.iamasters-academy/iamasters-os/automation-loop-engine

Motor de Loop Engineering. Convierte trabajo repetitivo en sistemas: se diseñan UNA vez y se ejecutan N veces con verificación, compuertas humanas y aprendizaje acumulado (REGLAS.md). Tres funciones: (1) INSTALACIÓN — en el primer uso, entrevista de 5 preguntas para personalizar la skill al negocio, herramientas y límites de cada usuario; (2) RADAR — detectar cuándo una tarea se está convirtiendo en loop y preguntar «¿Lo diseñamos o lo disparo?»; (3) FÁBRICA — diseñar el loop (canvas de 9 campos), dispararlo, operarlo y evaluarlo. Usar siempre que el usuario diga "loop", "sistematiza esto", "automatiza este proceso", "línea de producción", "todas las semanas", "para cada cliente", "hazlo en lote", "diseña el sistema", "diseña el loop", "monta el sistema de", "deja de hacerlo a mano", "loop engineering", "convierte esto en un sistema", "configura la skill de loops", o pida repetir una tarea ya hecha 2+ veces en la conversación. Activar proactivamente (modo RADAR) a la 3ª repetición de una misma tarea con estru

io.github.latitude-dev/latitude-llm/testing

Writing or debugging tests, choosing unit vs integration style, Postgres/ClickHouse tests, regenerating ClickHouse test schema, or exporting test helpers from packages without pulling test code into production bundles.

io.github.affaan-m/ECC/agent-self-evaluation

Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.

io.github.chuancyzhang/deepseek-cowork/automation-tools

Manage SOP templates, scheduled automation tasks, and run history through AI-callable tools.

io.github.affaan-m/ECC/architecture-decision-records

Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.

io.github.affaan-m/ECC/brand-voice

Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.

io.github.affaan-m/ECC/article-writing

Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.

io.github.affaan-m/ECC/springboot-tdd

Test-driven development for Spring Boot using JUnit 5, Mockito, MockMvc, Testcontainers, and JaCoCo. Use when adding features, fixing bugs, or refactoring.