memos
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.
SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution
$ npx -y skills add MemTensor/skills-vote --agent claude-code
Repo: MemTensor/skills-vote
What's inside
Agent skills are becoming a reusable execution layer for coding agents, research agents, and workflow agents. SkillsVote starts from this large-scale setting: we have discovered over π₯ 1.68M SKILL.md files from open-source GitHub repositories, including over π 790K format-valid skills verified with the official Anthropic skill validator, making SkillsVote the world's largest open agent skill library π.
At this scale, skill management is no longer about manually maintaining a short curated list. Agents face three linked problems: which skills to load before a task, how to tell whether a skill actually helped during execution, and how to update the library without accumulating noisy or unverified experience.
SkillsVote treats skills as lifecycle-managed artifacts. It connects collection, profiling, just-in-time recommendation, trajectory-based attribution, and feedback-driven evolution into one loop:
skills-vote-local, enabling local/private skill recommendation with configurable retrieval strategies.SkillsVote is being open-sourced in stages to support transparent research on agent skill collection, recommendation, attribution, and evolution.
skills-vote agent skill that connects agents to the hosted SkillsVote service for cloud-based recommendation and attribution-grounded feedback.skills-vote-local with configurable local/private skill recommendation strategies, including agentic search and vector search.skills-vote-local with attribution-grounded feedback and local skill library evolution.SkillsVote is evaluated on agentic coding and terminal challenge benchmarks, including Terminal-Bench Pro, Terminal-Bench 2.0, and SWE-Bench Pro.
The results show that just-in-time skill recommendation and feedback-driven evolution improve agent performance on long-horizon tasks. Detailed reproduction instructions, benchmark setup configs, and scripts are documented in docs/experiment.md.
| Integration | Best for | Requires |
|---|---|---|
skills-vote | Using the hosted SkillsVote service for cloud-based skill recommendation and attribution-grounded feedback. | SKILLS_VOTE_API_KEY |
skills-vote-local | Recommending skills from a local or private SKILL.md library without relying on the hosted index. | Local config; no SkillsVote API key for agentic search |
Use this integration when you want agents to retrieve skills from the hosted SkillsVote service and submit post-task feedback for attribution.
Supercharge your agents (Codex, Claude Code, OpenClaw) by integrating SkillsVote directly! Just drop this prompt into your agent:
Install the `skills-vote` skill following https://raw.githubusercontent.com/MemTensor/skills-vote/main/integration/skills/INSTALL.md
Use the following values:
- `SKILLS_VOTE_API_KEY`: "YOUR_API_KEY"
- `GH_TOKEN`: "YOUR_GITHUB_TOKEN"
Are you a CLI warrior? Set it up manually based on your OS:
Windows PowerShell
[Environment]::SetEnvironmentVariable("SKILLS_VOTE_API_KEY", "YOUR_API_KEY", "User")
npx skills add MemTensor/skills-vote --skill skills-vote
MacOS/linux (Bash/Zsh)
# For zsh, use ~/.zshrc instead
echo 'export SKILLS_VOTE_API_KEY="YOUR_API_KEY"' >> ~/.bashrc && source ~/.bashrc
npx skills add MemTensor/skills-vote --skill skills-vote
[!note] Don't forget to replace
YOUR_API_KEYwith your actual key!
Use this integration when your skills are stored in a local or private SKILL.md library and you want recommendation without the hosted index.
Install the `skills-vote-local` skill following https://raw.githubusercontent.com/MemTensor/skills-vote/main/integration/skills/INSTALL.md
npx skills add MemTensor/skills-vote --skill skills-vote-local
After installation, open the installed skill root and configure configs/config.yaml. See Install SkillsVote Skills for the full configuration flow.
SkillsVote builds on the broader agent skill and agentic benchmark ecosystem. We thank the maintainers and contributors of Anthropic Skills, Harbor, and open-source agent skill repositories for making this research possible.
If you find SkillsVote useful for your research or development, please cite:
@misc{liu2026skillsvotelifecyclegovernanceagent,
title={SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution},
author={Hongyi Liu and Haoyan Yang and Tao Jiang and Bo Tang and Feiyu Xiong and Zhiyu Li},
year={2026},
eprint={2605.18401},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2605.18401},
}
This repository is licensed under the MIT License. See LICENSE.
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.
FAQ
skills-vote is a Claude Code plugin with 2 hand-picked skills for development work, indexed on Flowy. Install it with the command on its page. It includes skills-vote-local, skills-vote. Its skills do not fire on their own yet. Request auto-invocation to have Flowy route them as you prompt. Free and open source.
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