A skill library that teaches Claude Opus the working disciplines of Claude Fable 5. Move the checkpoints, not the capacity.

From thought to skill. From signal to structure.

Web Graphical User Interface (GUI) for Gas Town multi-agent orchestrator - A companion interface for steveyegge/gastown

A curated list of open source GitHub repositories related to ChatGPT, the OpenAI API, and Codex. Searchable via Claude Code skills.

Causal memory layer for AI agents — MCP server that records decision→outcome relationships. Survives compaction.

Autoharness — a self-learning skill layer for Claude Code — distills skills from your real sessions, updates them as you work, and prunes the ones that stop getting used. No daemon, no benchmark.

turns your codebase into an autoresearch loop — discovers what to measure, instruments the benchmark, then runs tree search with parallel subagents.

An Automated AI Agent Tool for Plotting Your Data in Any Paper's Figure Style.

AI agents and Nix: parametrable skills/instructions and tools, packaged together in a reproducible and modular fashion

docx ↔ LLM translator. Projects .docx office files to Markdown for editing. Projects edits back to OOXML as tracked changes (redlines). Python and Node.js implementations.

Compiles AI agent traces and truns them into reusable context.

Autonomous AI backend for deep research AI applications.

MCP server for spatial transcriptomics analysis through natural language interfaces.

Multi-Agent + Automation: Workflows, Automation, Self-Improving Agents

A collection of AI agent skills for Clawdbot, Claude Code, Codex

Plan-then-build AI coding for Claude Code & Codex CLI — you approve the plan before the model writes a line of code. SPEC → PLAN → TEST → CODE → REVIEW → LEARN

Run a task with AI as a flow of steps you keep, reuse, and refine, not a one-off chat.

A curated list of resources for Japanese natural language processing (NLP): Python libraries, LLMs, dictionaries, corpora, and datasets. Includes Claude Code skills to search resources.

The Loop Engine for Claude Code — engineer the loop, not the prompt. 1 router · 9 agents · 16 skills · 4 workflows. Fail-closed gates, test honesty, anti-anchored review.

Governance standard and reference toolset for LLM-maintained knowledge corpora

AI-powered cascading development framework. Decompose complex projects into parallel executable tasks with auto-generated PRDs, design docs, and multi-agent collaboration (Claude Code, Codex, Aider).

Scan any agent skill — authored or compiled — for prompt injection, secrets, and malicious execution before it touches your agent. Or compile the long tail on the fly.

Continual agent skill evolution through persistent decision history. Whole-skill optimisation (SKILL.md + scripts + references) with every decision landing as a local Git issue / PR / wiki. Runs on any agentskills.io runtime — Claude Code, Codex, OpenClaw, Hermes.

Research-grade investment decision engine for AI agents: isolated multi-agent committee, auditable verdicts, backtests with lookahead protection, published negative results