Geny Executor — Data skill for Claude Code
Manifest-driven 21-stage agent pipeline for Python — 5 LLM backends (Anthropic / OpenAI / Google / vLLM / Claude Code CLI), tools, skills, memory, sandboxed CLI runs, MCP.
How to install Geny Executor
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open CocoRoF/geny-executor and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Geny Executor does
Manifest-driven 21-stage agent pipeline for Python — 5 LLM backends (Anthropic / OpenAI / Google / vLLM / Claude Code CLI), tools, skills, memory, sandboxed CLI runs, MCP. The engine behind Geny. Apache-2.0.
Alternatives in Data
- Private GPT — Complete API layer for private AI applications on local models: RAG, skills, tools, MCP, text-to-sql, and more 57.5k ★
- HTML Anything — ✨ The agentic HTML editor — your local AI agent writes the HTML, you ship it 8.5k ★
- Claude Deep Research Skill — Enterprise-grade deep research skill for Claude Code with 8-phase pipeline, source credibility scoring, and au 1k ★
README
geny-executor
[](https://pypi.org/project/geny-executor/) [](https://pypi.org/project/geny-executor/) [](LICENSE) [](https://github.com/CocoRoF/geny-executor/actions/workflows/ci.yml)
**A harness-engineered agent pipeline library — 21 stages, 5 LLM providers, MCP-native, fully introspectable.**
geny-executor implements a **21-stage pipeline** with **dual-abstraction architecture** (stage slots × strategy slots). Inspired by Claude Code's agent loop and Anthropic's harness design principles. No LangChain. No LangGraph. Just an explicit, modular pipeline where every step is observable, mutatable, and swappable.
[한국어 README](README_ko.md) · [Architecture](docs/architecture.md) · [Providers](docs/providers.md) · [Error codes](docs/error_codes.md) · [Claude Code CLI host](docs/claude_code_cli.md)
The Geny ecosystem
These projects are built to work together. **Geny** is the product at the top of the stack; everything below is a building block you can also use on its own. **➡️ marks where you are.**
| Project | What it is | Role in the stack |
|---|---|---|
| **Geny** | Multi-agent VTuber + autonomous-worker platform | The product — uses every project below |
| ➡️ **geny-executor** | 21-stage, manifest-driven agent pipeline · PyPI · Apache-2.0 | The engine everything runs on |
| **GAPT** | Self-hosted AI DevOps platform — sandbox · edit · build · deploy | Where agents safely touch real repos |
| **geny-avatar** | 2D live-avatar editor with AI texture generation | Where Geny's faces are |
Related Skills
Smg
Engine-agnostic LLM gateway in Rust. Full OpenAI & Anthropic API compatibility across vLLM, TRT-LLM, TokenSpee
Memfork
Git for AI agent memory. An embedded in-memory database with fork, merge, discard and rewind. Works with Claud
App Store Compliance Checker
Free, proof-only App Store & Google Play compliance checker: catch App Store rejections, privacy manifest, Dat
AI Invoice Parser Agent n8n
🧾 Autonomous AI invoice parser and accounts payable pipeline built with n8n, Anthropic Claude, Google Gemini,
Derrick B2b Data Enrichment Google Sheets Claude API Derrick
B2B data-enrichment engine providing professional emails, phone numbers, LinkedIn/company enrichment, tech-sta
Memcore
Global, governed, bitemporal memory engine for autonomous AI coding agents & IDEs — shared ~/.memcore brain ac
Related Agents
Grok Agent 01
ONLY job: find free or freemium AI token/API plans (OpenAI-compatible, Anthropic, Google, open routers, studen
AI LLM Engineer
Use this agent when the user types /ai or asks for ai/llm engineer work — e.g., build a RAG pipeline over our
LLM Orchestrator
Use this agent for LLM integration work — prompt engineering, multi-provider abstraction (OpenRouter, Gemini,