meta-implement

What problem does it solve?

This Skill enables teams to automatically implement high-confidence improvements generated by /meta-learn while ensuring safety through dry-run checks, backups, and rollback mechanisms. It eliminates manual, error-prone adoption of optimizations and accelerates secure deployment.

Core Features & Use Cases

• Dry-run Safety: Simulates all changes before applying them, preventing unintended side effects.
• Branch-based Implementation: Creates a dedicated implementation branch and preserves the mainline.
• Plan-driven Execution: Executes a YAML-defined implementation plan including file creates/modifications, command updates, and agent creation.
• Validation-first Rollback: Runs tests and validation; automatically rolls back if failures occur and opens human reviews via PRs.
• Use Case: As a development team, you can auto-apply high-confidence improvements from /meta-learn in a reversible, auditable way.

Quick Start

Run: 1) Inspect high-confidence suggestions with /meta-learn. 2) Dry-run the implementation with /meta-implement meta-learn-<id> --dry-run. 3) Apply changes with /meta-implement meta-learn-<id> after successful dry-run.