by aigorahub · Claude Skill · ★ 198
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Elves They work while you sleep. Elves is an open-source Agent Skill for autonomous, multi-batch development. It gives AI coding agents (Claude Code, Codex, or any agent that supports the Agent Skills standard) the ability to execute large development plans unattended (with testing, review, and documentation) while surviving context compaction across long runs. You write the plan and own the merge decision. The agent does everything in between. Running Elves is a two-stage process: first you stage the run, then in a separate call you start it. Staging lines up the plan, branch, PR, and survival guide, then stops. Launching is a short second prompt that turns the agent loose. Keeping the two calls separate is the single biggest thing that prevents "the elves stopped" failures. See Stage, then launch. This is still early. The system I use in production at Aigora is more elaborate than what you see here. It includes custom review tools, proprietary verification infrastructure, and integration with our internal deployment pipeline.
| Stars | 198 |
| Forks | 14 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 65.9117064435578/100 |
| Open Issues | 8 |
| Last Updated | 2026-08-08 |
| Created | 2026-03-21 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~25k |
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elves is Autonomous multi-batch development skill for Claude Code and Codex. They work while you sleep.. It is categorized as a Claude Skill with 198 GitHub stars.
elves is primarily written in Python. It covers topics such as agent-skills, ai-agents, autonomous-coding.
You can find installation instructions and usage details in the elves GitHub repository at github.com/aigorahub/elves. The project has 198 stars and 14 forks, indicating an active community.
elves is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to elves on Agent Skills Hub include smart-ralph, clay, wallfacer. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.