learning-loop

Capture structured lessons into a centralized YAML knowledge base.

1|Updated Aug 16, 2025
One-click install
npx skills add https://github.com/RB-chrismandich/Manifest --skill learning-loop-rb-chrismandich
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: learning-loop
Source: https://github.com/RB-chrismandich/Manifest/tree/main/configs/claude/skills/learning-loop
Command: npx skills add https://github.com/RB-chrismandich/Manifest --skill learning-loop-rb-chrismandich

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Capture structured lessons learned after major tasks to build a reusable knowledge base that informs future work and accelerates onboarding.

Core Features & Use Cases

  • Persistent knowledge: stores entries in .claude/config/knowledge_base.yml and supports queries by language, tool, and category.
  • Structured data: captures fields like title, category, language, description, tags, source, and example.
  • Lifecycle: supports capture, query, list, and stats flows; updates last_referenced for relevance.

Quick Start

Capture a new learning entry describing the lesson learned from the latest task.

Frequently Asked Questions about learning-loop

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

FAQPage Schema
How do I capture lessons learned after completing a major software task?

Capture structured lessons learned by executing a retrospective workflow that stores entries with title, category, language, description, tags, source, confidence, and example fields into a centralized YAML knowledge base for future reference.

What is the best way to build a reusable knowledge base from project retrospectives?

Building a reusable knowledge base involves storing structured retrospective entries in a centralized YAML file, enabling future software projects and research tasks to query past lessons by language, tool, or category to accelerate onboarding.

How do I query and filter past lessons learned by programming language or category?

Query past lessons learned using built-in list and query workflows that filter centralized knowledge base entries by language, tool, or category, while automatically updating the last_referenced field to maintain entry relevance.

Can I run structured retrospectives for both software development and research tasks?

Structured retrospectives support both software development and research tasks by capturing practical lessons learned into a centralized knowledge base, allowing cross-project query and statistical analysis of entries.

Does capturing lessons learned require external dependencies or separate database setup?

Capturing lessons learned requires no external dependencies or database setup, storing all structured entries locally within a YAML configuration file using safe validations for capture, query, list, and stats workflows.