recall-commit

What problem does it solve?

This Skill streamlines the commit process by enforcing conventional commit standards and integrating a crucial learning capture mechanism for Recall Labs projects.

Core Features & Use Cases

• Conventional Commits: Enforces a structured commit message format (type(scope): subject, body with summary, changes, why, and testing).
• Learning Capture: Prompts for and captures high-leverage insights from the development session into AGENT-LEARNINGS.md.
• Guardrails: Verifies project context (Recall Labs) before proceeding and prevents committing secrets.
• Use Case: After completing a feature, use this skill to create a well-documented commit that not only records the code changes but also captures any non-obvious constraints or design rationales that would benefit future AI agent sessions.

Quick Start

Use the recall-commit skill to commit your staged changes with integrated learning capture.