AgentHandover — Development skill for Claude Code
What if OpenClaw, Claude Code, Codex etc. knew how to do your work without you saying it.
How to install AgentHandover
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open sandroandric/AgentHandover and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What AgentHandover does
What if OpenClaw, Claude Code, Codex etc. knew how to do your work without you saying it? AgentHandover observes you, learns and teaches your agents with self-improving skills.
Alternatives in Development
- Homunculus — A Claude Code plugin that watches how you work, learns your patterns, and evolves itself to help you better 315 ★
- MoltBrain — Long-term memory layer for OpenClaw & MoltBook agents that learns and recalls your project context automatical 248 ★
- 20x — Self-improving Agent orchestrator for all knowledge work 107 ★
README
AgentHandover
Work once. Hand over forever.
Demo · Quickstart · Use Cases · What a Skill Looks Like · How It Works · Connect Your Agent · Install · Privacy
Demo
Show it once. Hand it off forever.
AgentHandover watches how you work on your Mac, turns your workflows into reusable **Skills**, and lets agents like **Claude Code**, **OpenClaw**, **Hermes**, **Codex**, or any MCP-compatible tool execute them the way you do it.
Each Skill captures the *what*, the *why*, and the *how* — steps, strategy, decision logic, guardrails, and your writing voice. And they're **self-improving**: agents report back after every execution, successes boost confidence, deviations become new decision branches, failures trigger corrections.
You already know how to do your work. Now your agents can too.
Why this matters
Getting an AI agent to do real work today means writing prompts or hand-crafting skills — brittle, time-consuming, and stale the moment your process changes. Worse, those skills capture *what* you do, not *how* you decide.
AgentHandover flips it. Instead of telling the agent how you work, you just work. The system watches, infers the strategy behind your clicks, and produces Skills with the *why* built in — selection criteria, guardrails, decision branches, your voice. Because agents report back after every execution, Skills get better the more they're use
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