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Evolve-Skill

Consolidate tacit project knowledge into auditable rules and runbooks in EVOLVE.md.

2|1|Updated Feb 23, 2026
Search Tags:#audit#retrospective#runbooks#evolve#ai-coding#platform-lessons
One-click install
npx skills add https://github.com/Ecrypted-Data/Evolve-Skill --skill evolve-skill-ecrypted-data
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Evolve-Skill
Source: https://github.com/Ecrypted-Data/Evolve-Skill/tree/main
Command: npx skills add https://github.com/Ecrypted-Data/Evolve-Skill --skill evolve-skill-ecrypted-data

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Evolve-Skill automates the capture and evolution of tacit project knowledge, turning scattered insights into auditable assets stored in EVOLVE.md and platform-specific lessons in CLAUDE.md / GEMINI.md / AGENTS.md / CURSOR.md.

Core Features & Use Cases

  • Centralizes project evolution assets into EVOLVE.md and platform-specific files (CLAUDE.md / GEMINI.md / AGENTS.md / CURSOR.md).
  • Triggers retrospectives after task completion and runs AI-assisted audit scoring and synchronization to keep knowledge current.
  • Enforces platform isolation so platform-specific lessons stay contained and transferable between projects.

Quick Start

Trigger a retrospective after completing a development task by invoking Evolve-Skill in your AI agent workflow.

Frequently Asked Questions about Evolve-Skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I capture tacit project knowledge into auditable runbooks automatically?▼

You can capture tacit project knowledge automatically by triggering retrospectives after task completion, which consolidates scattered insights into auditable rules and runbooks stored in EVOLVE.md.

How do I sync platform-specific lessons for Claude, Gemini, Codex, and Cursor?▼

Platform-specific lessons are synced by enforcing platform isolation, writing tailored guidelines into CLAUDE.md, GEMINI.md, AGENTS.md, and CURSOR.md to keep knowledge contained and transferable.

Does the retrospective workflow support security-conscious redaction for audit syncing?▼

The retrospective workflow supports security-conscious redaction during audit syncing, ensuring sensitive information is removed before project knowledge is consolidated into auditable assets.

What is the best way to maintain project history and runbooks across multiple AI coding platforms?▼

The best way to maintain project history is through AI-assisted audit scoring and synchronization, which continuously updates runbooks and history in EVOLVE.md across local development projects.

Can I run health checks and audit syncing scripts locally for project evolution?▼

You can run health checks and audit syncing locally using scripts like audit_sync.py and health_check.py to enforce an end-to-end workflow for repeatable, auditable project evolution.

Why do I need platform-aware automation for evolving project knowledge?▼

Platform-aware automation is needed to ensure platform-specific lessons stay isolated and transferable, preventing cross-platform contamination while keeping guidelines current for each AI coding agent.

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