pjt3591oo-claude-code-advanced-guide

Community-curated, human-vetted skills for AI coding and agent tools. Focused on practical, production-ready skill implementations.

200 skills

CFN Loop skill for unified error handling, batching, and structured logging across agent failures with categorization and recovery.

169 skills · 9 agents

Search and discover Claude Code skills and MCP servers from marketplaces and GitHub. Use to find tools for specific tasks or explore available integrations before building custom solutions.

160 skills

Collection of Claude Code plugins tailored for streamlining software development and engineering processes.

85 skills

Pre-built SWE workflows for Claude Code covering development patterns, testing strategies, and engineering best practices for software projects.

32 skills · 40 agents

Supercharged plugin collection with 109 components: 22 agents, 32 commands, 55 skills across 13 modular plugins. Includes deep reasoning, autonomous dev loops, DDD architecture, git automation, and design system enforcement.

66 skills

Core skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques

15 skills · hooks

Harness-native ECC operator layer - 71 agents, 314 skills, 98 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses

200 skills · 98 commands · 71 agents · 1 MCP server · hooks

Persistent memory for Claude Code: the next session starts where the last one left off.

29 skills · 1 MCP server · hooks

Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications

5 skills · hooks

Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data

9 skills · 9 commands · 11 agents · 1 MCP server

Skill: add headroom-ai compress() to a Python or TypeScript app to cut LLM input tokens (tool outputs, logs, JSON, chat history). No API key.

1 skill