ai-context-handoff
CommunityCompress handoffs for safe, fast continuation
Software Engineering#architecture decisions#context compression#state transfer#software refactoring#ai handoff#low token workflow
Authorluizgmassa
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill solves the problem of AI-to-AI handoff failures caused by limited context windows, where the next agent cannot safely continue without the right architectural and implementation intent.
Core Features & Use Cases
- Lean, high-signal continuation package: produces a compact handoff that preserves only what is needed to continue implementation.
- Regression-avoidant context curation: aggressively removes fluff, repetition, and non-essential project history while retaining critical constraints and decisions.
- Continuation-optimized structure: outputs a dense, deterministic set of sections (project, state, decisions, plan, files, issues) designed for low token usage.
- Use Case: hand off an in-progress refactor to a different model/agent after approvals or partial completion, even when the next agent has zero prior context.
Quick Start
Ask your agent to run ai-context-handoff to generate a low-token continuation package for the current project state and target refactor.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ai-context-handoff Download link: https://github.com/luizgmassa/Useful-Agent-Skills/archive/main.zip#ai-context-handoff Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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