MCP App StoreMCP App StoreSKILL.md packages that extend Claude Code, Cursor, Copilot, and other AI agents.
Tags
skills
Control the herdr terminal-native agent multiplexer: list workspaces/tabs/panes, run commands, read output, and wait for agent or output state changes over a lo
gsd-pi
Turn GSD runtime artifacts (.gsd/) into a filing-ready forensics report: trace symptom → root cause with file:line citations and propose a minimal fix; read-onl
skills
Collection of software development best practices for code quality, testing, security, performance, and observability across stacks.
claude-code-plugins-plus-skills
Incident response guidance for diagnosing production issues: gather symptoms, read logs, check metrics, trace requests, identify root cause, and recommend fixes
claude-view
Generate concise standup-style summaries from recent Claude Code sessions using the claude-view MCP server tools.
awesome-copilot-for-testers
Design and ship deterministic GitHub Copilot hooks for VS Code: fast, documented lifecycle checks that observe, warn, mutate, or deny to enforce safe automation
agent-skills-library
A comprehensive workflow bundle for designing, building, and operating LLM applications, RAG systems, AI agents, and ML pipelines.
Fire-Flow — Agent Orchestration Patterns
A 3-agent competing-hypotheses debugging pattern for complex, time-sensitive bugs — run three investigators in parallel to converge on root cause faster.
ai-plugin
Detects silent delivery failures across data pipelines (CDP functions, batch exports, and flows) and surfaces high-confidence findings or durable memory entries
claude-skill-registry
Run deterministic smoke tests and contract checks to validate tool integrations, error handling, and schemas before agents depend on them.
skillshub
Guidelines for implementing robust, user-friendly error handling: exceptions, centralized boundaries, retry strategies, graceful degradation, and resource clean
powertools-mcp
Guidance and utilities for building AWS Lambda functions with best practices: structured logging, X-Ray tracing, EMF metrics, idempotency and batch processing a
branerail
High-level architectural guidance for AI-native development, focusing on state ownership, observability, and blast radius analysis.