Cavil Loop

GitHub label-driven workflow that lets a local AI handle issues / PRs; the daemon listens for `pending/agent` and dispatches work. Every issue's design proposal / discussion / code / Claude conversation / tmux history is filed under the issue number, so you can find or resume any of it later just by knowing the issue number. Commands include setup (deploy to a project), status (check daemon state), disable (turn off a project's daemon)

12 stars 5 forksAI, LLMs & Agents

Install

skills CLI (Claude Code, Cursor, Codex and more)
npx skills add GigleAI/cavil-loop --skill cavil-loop
Manual install
git clone --depth 1 https://github.com/GigleAI/cavil-loop.git /tmp/cavil-loop
mkdir -p ~/.claude/skills
cp -r /tmp/cavil-loop/. ~/.claude/skills/cavil-loop

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# cavil-loop

> **English** · [中文](SKILL.zh.md)

Turn GitHub issue / PR comments into the input and output of your local AI. A systemd timer + a few shell scripts + two GitHub labels let you talk to the AI directly through the GitHub web UI (or the iOS gh app).

> This skill is agent-agnostic by design. Worker CLI is selected by `WORKER_AGENT=<name>` in `cavil-loop.config`; the daemon / dispatch scripts go through a thin **driver layer** that plugs in different agent CLIs. Built-in drivers: `claude` (default, Claude Code), `opencode` (sst/opencode), `codex` (OpenAI Codex CLI), `cursor` (Cursor Agent CLI). Add your own via `scripts/drivers/<name>.sh` — see [docs/drivers.md](docs/drivers.md).

## When to invoke

The user calls this skill from the host agent runtime via `/cavil-loop <command>` or a natural-language request. Common forms:

- "Install this daemon on project X" → run the `setup` flow
- "What's the state of the coding agent?" → run the `status` flow
- "Disable the coding agent on project X" → run the `disable` flow

## What you (the agent) should do when invoked

### setup (deploy to a host project)

The user gives you a host project path (e.g. `~/github/myproject`). Steps:

1. Verify the path exists and is a git repo (has `.git`)
Read the full skill on GitHub

Details

Skill name
cavil-loop
License
MIT
Repo updated
31 October 2026

FAQ

What does the Cavil Loop skill do?

GitHub label-driven workflow that lets a local AI handle issues / PRs; the daemon listens for `pending/agent` and dispatches work. Every issue's design proposal / discussion / code / Claude conversation / tmux history is filed under the issue number, so you can find or resume any of it later just by knowing the issue number. Commands include setup (deploy to a project), status (check daemon state), disable (turn off a project's daemon)

How do I install the Cavil Loop skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add GigleAI/cavil-loop --skill cavil-loop. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Cavil Loop popular?

It lives in GigleAI/cavil-loop, which has 12 GitHub stars and 5 forks.

Related skills

Baimiao

13

adoresever/baimiao

把中文初稿改得自然、准确、有分寸和文采,同时保留原意、事实与文体。既可清理 AI 痕迹、模板腔和书面僵硬感,也可润色普通的人类初稿;适用于文章、邮件、报告、社交媒体、产品文案、评论、故事和普通段落,不负责事实研究或媒介制作。

AI, LLMs & Agents

Multi LLM

11

beastlabai/multi-llm-plugin

Orchestrate code plan reviews, task generation, implementation, code reviews and commit reviews using multiple LLM providers in parallel, or ask each model a free-text question about a plan. Use this skill whenever the user wants to review a plan with multiple models, generate implementation tasks, implement tasks with subagent delegation, review code changes against a plan, review or fix the commits they made, ask the models a question about a plan, or run any multi-model workflow. Triggers on: 'review my plan', 'multi-llm', 'run code review', 'generate tasks from plan', 'implement this plan'

AI, LLMs & AgentsIn 1 list

Xiaohongshu Ops

14

pigbiglong/xiaohongshu-ops-skill

把 Hermes Agent 变成你的小红书运营助手 — 首页分析、账号诊断、选题灵感、内容创作、自动发布、评论回复、爆款复刻、知识库沉淀。全链路 SOP 覆盖,基于浏览器自动化(CDP)。

AI, LLMs & Agents

Format Agent

15

KaguraNanaga/format-agent-skill

按规范文字、内置 Style Pack 或 Word 模板重排以段落和常规表格为主的中文/英文 Word 文稿。适用于公文、论文、普通报告、基础技术手册和法律 brief;可有损导入 .doc/.wps/.odt/.rtf。不要用于简历、表单、宣传册、Newsletter、海报、PDF 版面还原或内容控件应用。

AI, LLMs & Agents

Artex Skill

11

chu0119/artex-skill

授权渗透测试专家大脑——把 ARTEX(AI 自主渗透测试系统)的 planner/worker/审计者 三视角方法论、资产-事实-漏洞三账本证据纪律、四层安全护栏,蒸馏成任意 AI Agent 即装即用的技能。Authorized pentest expert brain: ARTEX methodology (planner/worker/auditor perspectives, asset-fact-finding ledgers, evidence discipline, safety rails) distilled into a portable Agent Skill. 仅用于已授权的渗透测试/SRC/CTF/自有系统,拒绝未授权目标。

AI, LLMs & Agents

Decompose

15

matt-k-wong/mkw-DAG-architect

Learn to decompose complex problems before building real agents. Better answers today. Ready for orchestration tomorrow. Breaks messy tasks into clear DAG structures with explicit dependencies, parallel branches, and synthesis logic. Improves Claude outputs by enforcing topological order and catching contradictions. Teaches the mental model for LangGraph, CrewAI, n8n, and Sub-Agents. Type "decompose: [goal]" or "decompose preview: [goal]" to start. Zero experience required.

AI, LLMs & Agents

Browse the most popular Claude skills, all ai, llms & agents skills, or write your own with the skills generator.