Browse skills

Execute Python, JavaScript, and shell scripts in a sandboxed environment. Great for data analysis, prototyping, and automation tasks.

Captures agent learnings, errors, and corrections to enable continuous improvement. Logs to structured markdown files for review and pattern detection.

Manage GitHub repos, issues, PRs, and workflows directly from your agent. Create PRs, review code, manage issues, and trigger CI/CD.

Build and manage n8n automation workflows via MCP. Create, test, and deploy production-ready automations with AI guidance.

Delegate coding tasks to Codex, Claude Code, or Pi agents via background process. Use when: (1) building/creating new features or apps, (2) reviewing PRs (spawn in temp dir), (3) refactoring large codebases, (4) iterative coding that needs file exploration. NOT for: simple one-liner fixes (just edit), reading code (use read tool), thread-bound ACP harness requests in chat (for example spawn/run Codex or Claude Code in a Discord thread; use sessions_spawn with runtime:"acp"), or any work in ~/clawd workspace (never spawn agents here). Requires a bash tool that supports pty:true.

Fetch GitHub issues, spawn sub-agents to implement fixes and open PRs, then monitor and address PR review comments. Usage: /gh-issues [owner/repo] [--label bug] [--limit 5] [--milestone v1.0] [--assignee @me] [--fork user/repo] [--watch] [--interval 5] [--reviews-only] [--cron] [--dry-run] [--model glm-5] [--notify-channel -1002381931352]

GitHub operations via `gh` CLI: issues, PRs, CI runs, code review, API queries. Use when: (1) checking PR status or CI, (2) creating/commenting on issues, (3) listing/filtering PRs or issues, (4) viewing run logs. NOT for: complex web UI interactions requiring manual browser flows (use browser tooling when available), bulk operations across many repos (script with gh api), or when gh auth is not configured.

Best practices for using the oracle CLI (prompt + file bundling, engines, sessions, and file attachment patterns).

Manage Things 3 via the `things` CLI on macOS (add/update projects+todos via URL scheme; read/search/list from the local Things database). Use when a user asks OpenClaw to add a task to Things, list inbox/today/upcoming, search tasks, or inspect projects/areas/tags.

Present HTML on connected OpenClaw node canvases, navigate/eval/snapshot, and debug canvas host URLs.

Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.

Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.

Connect to Google Calendar and Outlook. Create events, check availability, set reminders, and manage your schedule from natural language.

Search GIF providers with CLI/TUI, download results, and extract stills/sheets.

Terminal Spotify playback/search via spogo (preferred) or spotify_player.

Recommend suitable prompts from 10,000+ Nano Banana Pro image generation prompts based on user needs. Works with Gemini, GPT Image, Midjourney, DALL-E, Flux, and Stable Diffusion.

Persistent local memory for AI agents. Save, recall, and search project decisions as local JSON. Zero cloud, zero infrastructure — works offline.

Deep multi-source analysis of GitHub projects. Covers architecture, community health, competitive landscape, and cross-platform knowledge. Outputs structured research reports.

Z-Image Manga/Illustration Generation using local ComfyUI. High-quality anime/manga art with quick preview and high-res upscale modes. No cloud API needed.

Three-layer progressive MCP client with Socket daemon. Query available tools, call MCP servers efficiently, and manage daemon processes. Reduces token overhead with lazy loading.

Semantic memory search using Qdrant + Ollama embeddings (QRAS). Use as primary method for recalling workspace files, notes, decisions, and prior work before falling back to built-in search.

Generate or edit images via Gemini 3 Pro Image (Nano Banana Pro).

Image optimization analysis for SEO and performance. Checks alt text, file sizes, formats, responsive images, lazy loading, and CLS prevention.

Programmatic SEO planning and analysis for pages generated at scale from data sources. Covers template engines, URL patterns, internal linking automation, thin content safeguards, and index bloat prevention.