Install, configure, and run team-harness — a CLI (`th`) and Python SDK that coordinates multiple AI coding agent CLIs (Codex, Gemini, Claude Code, OpenHands, OpenCode, pi) so they collaborate as a team on a single task. Use this skill whenever the user mentions team-harness, the `th` command, `th init` / `th run` / `th repl` / `th logs`, asks to install or set up team-harness, wants a multi-agent run across Codex / Gemini / Claude / OpenHands together, or asks how to point team-harness at OpenRouter or another OpenAI-compatible provider. Use even when the user does not say "team-harness" explicitly but describes wanting to orchestrate several AI coding CLIs together as a team, plug different model providers into one workflow, or fan a task out to multiple agent CLIs and aggregate the results.
- 📁 .claude/
- 📁 db/
- 📁 docs/
- 📄 .gitattributes
- 📄 .gitignore
- 📄 CHANGELOG.md
Use this skill whenever the user asks anything about Higgsfield AI — writing or refining video/image prompts, choosing a model (Kling, Sora 2, Veo, Wan, Seedance, Minimax Hailuo, DoP, Soul, Nano Banana, Seedream, Flux, GPT Image, etc.), camera controls, named motion presets, Soul ID character consistency, Cinema Studio 2.5/3.0, Vibe Motion, troubleshooting failed generations, credit optimization, Photodump, or any mention of higgsfield.ai. Also trigger on generic "write me a video prompt" or "make me an AI video prompt" requests when Higgsfield is the user's configured platform.
Agent-first AEO (Answer Engine Optimization) operating platform using canonry CLI and aeo-audit tool. Use when: (1) running citation sweeps across AI providers (Gemini, ChatGPT, Claude, Perplexity); (2) auditing technical SEO with structured data validation; (3) implementing schema markup, sitemaps, llms.txt; (4) diagnosing indexing issues via Google Search Console and Bing Webmaster Tools; (5) optimizing content for AI readability and entity consistency. NOT for: general web development, content writing, PPC campaigns, or social media management.
Guide for creating optimized Claude Code agents. Use to design a new specialized agent, a swarm sub-agent, or a multi-agent workflow. Follows the Skill → Agent (preloaded skills) → Skill orchestration pattern.
- 📄 LICENSE
- 📄 README.md
- 📄 SKILL.md
First open-source AI sanitizer with local semantic detection. 7 layers + code block awareness + LLM intent analysis. Catches prompt injection, reverse shells, memory tampering, encoding evasion, trust abuse. 85% fewer false positives in v2.1. Zero cloud — your prompts stay on your machine.
- 📁 .claude-plugin/
- 📁 .github/
- 📁 agent/
- 📄 .gitignore
- 📄 .nvmrc
- 📄 CHANGELOG.md
Build autonomous AI agents with Claude Agent SDK. TypeScript v0.2.119 | Python v0.1.68.
Guide for using Kimi API utilities (session management, prompts, RAG, colorful printing, threading)
Implement or modify Ruby code using the claude-agent-sdk gem. Covers query() one-shot calls, Client-based interactive sessions, streaming input, all 27 hook events, permission callbacks, SDK MCP servers, structured output, bare mode, full sandbox settings (network + filesystem), all 24 message types (including tool_progress, auth_status, prompt_suggestion, hook lifecycle, compact_boundary, session_state_changed), session browsing/mutations, subagents, file checkpointing, Rails integration, and custom transports. Use this skill whenever the user mentions claude-agent-sdk, Claude Agent Ruby, building AI agents in Ruby, or integrating Claude Code into a Ruby/Rails application.
Add OpenAI/Codex as a backend. Guides through API key setup, service backend configuration, optional CLI setup, and verification. Can run alongside Claude (default) or replace it.
- 📄 LICENSE
- 📄 README.md
- 📄 SKILL.md
AKTIVIERT SICH AUTOMATISCH bei vagen Auftraegen. LIEBER EINMAL ZU OFT NACHFRAGEN als falsch implementieren. Erkennungsmerkmale (EINES genuegt!): - Auftrag <25 Woerter - Keine konkreten Dateinamen/Pfade - Vage Verben: besser, optimieren, fixen, machen, aendern, verbessern, anpassen, erweitern, refactoren, aufraumen, ueberarbeiten - Unsichere Sprache: irgendwie, vielleicht, mal eben, schnell, einfach, bisschen, koennte, sollte - Fehlende Erfolgskriterien: Kein damit, sodass, weil, um zu - Relative Begriffe ohne Kontext: schneller, besser, schoener, einfacher Output ist STRUKTURIERTES JSON fuer prompt-architect Skill.
help text, output formats, error messages, exit codes, prompts, config/env
Use when launching Clownfish in GitHub Actions to create or update one guarded GitHub implementation PR from issue/PR refs, a ClawSweeper report, a custom maintainer prompt, or opt any PR into ClawSweeper-reviewed Clownfish automerge.