170 boosters for "codex" — open source, verified from GitHub, ready to install
<projectdescription> </projectdescription> <architecture_overview>
Use the SourceSage CLI from this repository checkout to generate repository summaries for the current repo or another local repo. Prefer the local checkout over assuming is globally installed. In this repository layout, the SourceSage tool root is the directory that contains this . 1. Resolve the S
A GEO (search engine optimization) pipeline booster that analyzes, ranks, rewrites, and generates schema markup for URLs and content to improve search visibility. Useful for developers, content creators, and SEO professionals optimizing web content.
"$schema": "https://anthropic.com/claude-code/marketplace.schema.json", "name": "my-ai-tools", "description": "Marketplace for my-ai-tools plugins",
"name": "golang-skills", "description": "20 modular skills for idiomatic Go — each under 225 lines, backed by 48 reference files, 8 automation scripts (all with --json, --limit, --force), and 4 asset templates. Covers error handling, naming, testing, concurrency, interfaces, generics, documentation,
一个好的行业 master skill 不是行业百科，是可运行的行业认知操作系统： prompts 里两个不同的目录占位符: 工具脚本 (sourceverifier.py / colddetector.py / quality_check.py / collectors / ingest / transcribe) 不复制到生成的行业 skill 目录, agent 直接调 . 行业 skill 只装载 prompts + research notes + SKILL.md + sub-skills + cli/.
This project includes deepsafe-scan, a preflight security scanner for AI agent environments. When the user asks to audit, scan, or check security of their AI agent setup, skills, or MCP servers, run the scanner: For a full scan with LLM analysis (if OPENAIAPIKEY is set):
"email": "help@calif.io", "url": "https://github.com/califio/skills" "description": "Claude Code plugins from Calif.io for AI-assisted security research and code auditing"
VMware family entry point — AI-powered VM lifecycle, deployment, and alarm management — 34 MCP tools. vmware-aiops is the entry point. Add modules for additional capabilities: 1. Browse datastore for OVA images →
"name": "@kimuson/modular-mcp", "version": "0.0.10", "description": "Modular MCP - Modular tool access for reducing context overhead",
The captain's log for your codebase. Every decision, discovery, and change logged as you ship code. Use GitHub as a complete knowledge graph where every brainstorm, commit, review, and decision is traceable. This skill orchestrates existing skills and references; it defines when and how to invoke th
"name": "openevidence-mcp", "description": "Unofficial MCP server for OpenEvidence — authenticated through your own logged-in browser tab via a Chromium relay extension (no API key, no Playwright). Fire-and-forget asks, a shared relay daemon for concurrent sessions, BibTeX + Crossref citations.", "m
"name": "apple-notes-mcp", "description": "MCP server for Apple Notes - create, search, update, and manage notes via Claude and Codex", "main": "build/index.js",
Named in homage to Tagore, whose prose carried what frontier models reach for and miss: a point of view, specificity over abstraction, and restraint over puffery. The skill exists to bring those qualities back to AI-drafted text. You are a writing editor whose job is to make prose sound like a human
Analyze skills using historical session data + static quality checks, output a diagnostic report with P0/P1/P2 prioritized fixes. Scores each skill on a 5-point composite scale across 8 dimensions. CSO (Claude/Agent Search Optimization) = writing skill descriptions so agents select the right skill a
"name": "agent-lint", "description": "Check how well your repo supports AI coding agents.", "homepage": "https://github.com/0xmariowu/agent-lint",
1. 架构不是「画」出来的,是从约束里「逼」出来的。 没搞清约束就画图,画什么都是瞎画。 2. 没有银弹,只有取舍。 任何决策本质都是「用 A 换 B」。一个「没有缺点」的方案,不是完美,是没想清楚。 3. 没有「最好的架构」,只有「在这组约束下最合适的架构」。 同样是聊天,内部工具和微信的答案天差地别。
"name": "@firfi/huly-mcp", "version": "0.40.1", "description": "Huly MCP: feature-complete MCP server for Huly integration",
"name": "agentkernel", "description": "Run commands in secure, isolated sandboxes using agentkernel", "author": "Paul Thrasher",
"name": "codex-bridge", "description": "Bidirectional bridge between Claude Code and OpenAI Codex CLI. Two AI agents, one conversation.", "keywords": ["codex", "claude", "bridge", "agent-to-agent", "channel", "mcp"]
"$schema": "https://json.schemastore.org/claude-code-plugin-manifest.json", "name": "session-orchestrator", "description": "Session-level orchestration — wave planning, VCS integration, quality gates, persistence, and safety checks",
Agent Tower Plugin enables developers to orchestrate multiple AI coding assistants (Claude, Codex, Gemini) in council, debate, and consensus workflows within Claude Code for richer problem-solving perspectives. It's useful for teams and individual developers seeking diverse AI viewpoints on complex coding tasks.
"name": "swing-skills", "description": "6 cognitive firewalls for AI coding agents. Defends against premature closure, hallucination, anchoring bias, confirmation bias, black-box reasoning, and optimism bias.", "name": "whynowlab",
A TUI-style MCP server that enables Claude and other AI models to ask users questions interactively through a web interface, useful for developers building interactive AI applications that need user input during execution.
