evolve

Digest undigested session learnings into a gated self-evolution pull request.

1|Updated Jun 27, 2026
One-click install
npx skills add https://github.com/babually/bongo-template --skill evolve-babually
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: evolve
Source: https://github.com/babually/bongo-template/tree/main/.agents/skills/evolve
Command: npx skills add https://github.com/babually/bongo-template --skill evolve-babually

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill turns accumulated session learnings into a controlled self-evolution pull request, so agent instructions and skills can improve without manual guesswork or ad hoc edits.

Core Features & Use Cases

  • Learning digestion: Reads undigested entries and groups them by target so related feedback becomes one minimal change.
  • Guardrailed editing: Respects allowlists, docs-size limits, and engine-modification rules before making any file changes.
  • PR-ready output: Prepares reviewed changes, flips consumed learnings to digested, and packages the work for a single gated pull request.
  • Use Case: When session feedback reveals a repeated workflow pattern, this Skill can propose a new skill instead of cluttering documentation.

Quick Start

Ask the evolve skill to digest the current undigested learnings and prepare the smallest valid self-evolution PR.

Frequently Asked Questions about evolve

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

FAQPage Schema
How do I automate agent instructions updates from session learnings?

Automating agent instructions updates from session learnings requires digesting undigested entries into a gated self-evolution pull request. This process groups related feedback into minimal changes while respecting allowlists, docs-size limits, and engine self-modification safeguards before preparing the PR.

What is a gated self-evolution pull request for repository maintenance?

A gated self-evolution pull request packages reviewed changes to agent instructions or skills behind strict validation gates. It flips consumed learnings to digested status, ensuring traceability and preventing ad hoc edits while proposing new skills for repeated workflow patterns instead of cluttering documentation.

How do I create a new skill proposal from repeated workflow patterns?

Creating a new skill proposal from repeated workflow patterns involves digesting accumulated session feedback to identify recurring behaviors. When feedback reveals a repeated pattern, the process proposes a new skill rather than making ad hoc documentation edits, packaging the proposal into a gated pull request.

Can I modify the evolution engine itself through a learning digestion pull request?

Modifying the evolution engine through a learning digestion pull request is possible but requires strict adherence to engine self-modification safeguards. The process applies guardrailed editing rules to ensure any changes respect allowlists, documentation size limits, and traceability requirements before preparing the PR.

What limits apply when updating skills and documentation from session feedback?

Updating skills and documentation from session feedback requires respecting docs-size limits, allowlist validation, and learnings traceability. The digestion process groups related feedback into minimal changes, ensuring file edits remain within guardrails before flipping consumed learnings to digested status and packaging a gated pull request.