Browse Skills

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]

Audits content for Google's E-E-A-T signals (Experience, Expertise, Authoritativeness, Trustworthiness). Adds author bios, last-updated dates, real-world examples, FAQ schema, and trust signals to articles.

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

Local DNA analysis with 1600+ markers across 30 categories. Privacy-first genetic analysis including population comparison and ancient DNA signal detection. All analysis runs locally.

Safe OpenClaw gateway restart with state-machine verification. Preserves context across restarts and sends post-restart ACK via Telegram, Discord, Slack, or custom webhook.

Send voice bubble messages to Telegram groups and topics using Microsoft Edge-TTS. Context isolation per topic — different topics use different conversation histories.

Complete SEO skill suite for Claude Code — 11 skills covering technical SEO, content, schema, competitor analysis, images, geo, and more.

Full website SEO audit with parallel subagent delegation. Crawls up to 500 pages, detects business type, delegates to 6 specialists, generates health score.

Generate SEO-optimized competitor comparison and alternatives pages. Covers "X vs Y" layouts, "alternatives to X" pages, feature matrices, schema markup, and conversion optimization.

Optimize content for AI Overviews (formerly SGE), ChatGPT web search, Perplexity, and other AI-powered search experiences. Generative Engine Optimization (GEO) analysis including brand mention signals, AI crawler accessibility, llms.txt compliance, passage-level citability scoring, and platform-specific optimization.

Hreflang and international SEO audit, validation, and generation. Detects common mistakes, validates language/region codes, and generates correct hreflang implementations.

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

Deep single-page SEO analysis covering on-page elements, content quality, technical meta tags, schema, images, and performance.

Strategic SEO planning for new or existing websites. Industry-specific templates, competitive analysis, content strategy, and implementation roadmap.

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.

Detect, validate, and generate Schema.org structured data. JSON-LD format preferred.

Analyze existing XML sitemaps or generate new ones with industry templates. Validates format, URLs, and structure.

Technical SEO audit across 8 categories: crawlability, indexability, security, URL structure, mobile, Core Web Vitals, structured data, and JavaScript rendering.

Git Context Controller (GCC) - Manages agent memory as a versioned file system under .GCC/. This skill should be used when working on multi-step projects that benefit from structured memory persistence, milestone tracking, branching for alternative approaches, and cross-session context recovery. Triggers on /gcc commands or natural language like 'commit this progress', 'branch to try an alternative', 'merge results', 'recover context'.

Content quality and E-E-A-T analysis with AI citation readiness assessment.

Shared memory service for AI agents (OpenClaw, KimiClaw, NanoClaw, etc). Use when user asks to store, retrieve, search, or share memories across agent instances. Also use for importing existing memory files (MEMORY.md, daily notes) into the shared service.

Real-time event bus for AI agents. Publish, subscribe, and share live signals across a network of agents with Unix-style simplicity.

Parallel autonomous ML research agents with a Director, git worktrees for per-agent experiment branches, a Skills library for validated technique reuse, a Synthesizer that distills collective knowledge overnight, and circadian rhythm (leisure 03:00–06:00 for paper reading and creative thinking). Uses OpenClaw sessions_spawn, cron, and steer natively. Use when: (1) start or run ML research agents overnight, (2) check agent status or experiment results, (3) view leaderboard or morning digest, (4) steer or stop agents, (5) ask what agents discovered or are exploring, (6) set up Litmus for the first time. NOT for: general coding, non-ML tasks, or machines without a GPU.

End-to-end GA4 + GTM tracking skill for site analysis, page grouping, schema design, GTM sync, preview QA, and publish readiness across generic sites and Shopify.