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SkillClaw
SkillClaw is an AI agent skill management tool that automatically deduplicates, evolves, and synchronizes reusable skills across multiple LLM agents and devices.
SkillClaw provides a system for AI agents to improve through shared, evolving skill libraries. It functions as a local API proxy that intercepts agent requests to record session artifacts and manage skill files. The tool deduplicates skills, improves their quality, and verifies them across different sessions. Users can run it locally as a single-user proxy or add an optional evolve server to automate skill refinement and support team-wide collaboration. It integrates with various LLM clients like Hermes, Codex, and Claude Code using OpenAI-compatible APIs or AWS Bedrock.
SkillClaw at a glance
- Best for: Software engineer
- Runs on: macOS, Linux, Windows, CLI, self-hosted, open source
- Pricing: Free
- Released: April 2026
- Category: AI agent tool
- Website: github.com/AMAP-ML/SkillClaw
Key features
- Automatic skill deduplication and quality improvement
- Unified skill library across multiple agents and devices
- Local API proxy for request interception and session recording
- Collective skill evolution through shared storage
- Integration with Hermes, Codex, Claude Code, and OpenAI-compatible APIs
- Support for Alibaba OSS, S3, or local filesystem storage
Use it for
- Unifying isolated skill silos across multiple agents
- Syncing learned patterns across different machines
- Enabling team-wide sharing of agent experience
- Automating background evolution of agent capabilities
Companion to
Tools whose articles name SkillClaw as a companion, each with its job for them.
Alternatives to SkillClaw
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- thClaws — Runs locally in native Rust with zero cloud lock-in and multi-provider support.
- Acontext — Builds human-readable Markdown skill files from agent runs without using embeddings.
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- Skillhub Local — Consolidates scattered AI agent context and skills into one local dashboard.
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