93 skills found · Page 1 of 4
openclaw / coding-agentDelegate coding work to Codex, Claude Code, or OpenCode as background workers; not simple edits or read-only code lookup.
openclaw / gh-issuesFetch GitHub issues, select candidates, spawn background fix agents, open PRs, and optionally process PR review comments.
openclaw / node-connectDiagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.
openclaw / obsidianWork with Obsidian vaults using the official obsidian CLI: read/search/create/edit notes, tasks, links, properties, plugins.
openclaw / oracleOracle CLI second-model review/debug/refactor/design with selected files, dry-run token checks, API or browser engine.
openclaw / proseOpenProse VM skill pack. Activate on any `prose` command, .prose files, or OpenProse mentions; orchestrates multi-agent workflows.
openclaw / bear-notesCreate, search, and manage Bear notes via grizzly CLI.
anthropics / frontend-designGuidance for distinctive, intentional visual design when building new UI or reshaping an existing one. Helps with aesthetic direction, typography, and making choices that don't read as templated defaults.
anthropics / Writing Hookify RulesThis skill should be used when the user asks to "create a hookify rule", "write a hook rule", "configure hookify", "add a hookify rule", or needs guidance on hookify rule syntax and patterns.
anthropics / Agent DevelopmentThis skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or…
Imbad0202 / academic-research-skillsAcademic Research Skills for Claude Code: research → write → review → revise → finalize
tirth8205 / code-review-graphLocal-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.
tirth8205 / code-review-graphLocal-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.
wanshuiyin / Auto-claude-code-research-in-sleepARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
wanshuiyin / Auto-claude-code-research-in-sleepARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
Piebald-AI / claude-code-system-promptsAll parts of Claude Code's system prompt, 27 builtin tool descriptions, sub agent prompts (Plan/Explore/Task), utility prompts (CLAUDE.md, compact, statusline, magic docs, WebFetch, Bash cmd, security review, agent creation). Updated for each Claude Code version.
Untrivial-ai / agent-orchestratorAgent IDE that enables you to manage fleets of coding agents. It comes with an agentic orchestrator that plans tasks, spawns agents, and autonomously handles CI fixes, merge conflicts, and code reviews.
nexu-io / html-anything✨ The agentic HTML editor — your local AI agent writes the HTML, you ship it. 🚀 75 Skills × 9 Surfaces (magazine · deck · poster · XHS / tweet · prototype · data report · Hyperframes) 🛡️ Sandboxed preview · 📤 1-click to WeChat / X / Zhihu / HTML / PNG 🔑 Zero API key — Claude Code / Cursor / Code…
backnotprop / plannotatorAnnotate and review coding agent plans and code diffs visually, share with your team, send feedback to agents with one click.
jnMetaCode / superpowers-zh🦸 AI 编程超能力 · 中文增强版 — superpowers（116k+ ⭐）完整汉化 + 6 个中国原创 skills，让 Claude Code / Copilot CLI / Hermes Agent / Cursor / Windsurf / Kiro / Gemini CLI 等 16 款 AI 编程工具真正会干活
jnMetaCode / superpowers-zh🦸 AI 编程超能力 · 中文增强版 — superpowers（116k+ ⭐）完整汉化 + 6 个中国原创 skills，让 Claude Code / Copilot CLI / Hermes Agent / Cursor / Windsurf / Kiro / Gemini CLI 等 16 款 AI 编程工具真正会干活
builderz-labs / mission-controlSelf-hosted control plane for AI agents: dispatch tasks, review runs, track spend, and operate OpenClaw, Claude Code, Codex, and other runtimes.
builderz-labs / mission-controlSelf-hosted control plane for AI agents: dispatch tasks, review runs, track spend, and operate OpenClaw, Claude Code, Codex, and other runtimes.
Vincentwei1021 / video-shotcraftAI video skill for Claude Code & Codex — cinematic product videos with Remotion: 106 shot recipe cards, 161 motion previews, a production-ready template
777genius / agent-teams-aiYou're the boss, agents are your team. They handle tasks on their own, message each other, and review each other's work. You just watch the kanban board and give high-level commands.
PaperDebugger / paperdebuggerA Plugin-Based Multi-Agent System for In-Editor Academic Writing, Review, and Editing
cookjohn / zotero-mcpIt's a plugin extension in Zotero. Zotero MCP Plugin enables integration between AI assistants and Zotero through MCP. Zotero MCP Plugin 是一个 Zotero 插件，通过 MCP协议实现 AI 助手与 Zotero深度集成。插件支持文献检索、元 数据管理、全文分析和智能问答等功能，让 Claude、ChatGPT 等 AI 工具能够直接访问和操作您的文献库。
sipyourdrink-ltd / bernsteinDeterministic orchestrator for CLI coding agents (Claude Code, Codex, Gemini CLI, +40 more). No model in the coordination loop, so parallel runs in per-task git worktrees replay byte-identically. Signed lineage plus an opt-in HMAC audit chain a reviewer checks offline, without rerunning it.
ksimback / looperDesign visual, review-gated agent loops for Claude Code before you run them.
oliver-kriska / claude-elixir-phoenixClaude Code plugin for Elixir/Phoenix/LiveView — 20 specialist agents, Iron Laws enforcement, and Tidewave MCP integration. Plan features with parallel research agents, execute with automatic verification, review with 4-agent parallel audits, and capture learnings as reusable knowledge.
