05-learn

Capture solved engineering outcomes as schema-driven solution artifacts under docs/solutions/.

29|2|Updated Apr 17, 2026
One-click install
npx skills add https://github.com/leing2021/super-pi --skill 05-learn
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: 05-learn
Source: https://github.com/leing2021/super-pi/tree/main/skills/05-learn
Command: npx skills add https://github.com/leing2021/super-pi --skill 05-learn

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

It solves the problem of losing valuable engineering learnings after you finish a task, making future planning, reviews, and implementations repeat the same discoveries.

Core Features & Use Cases

  • Capture reusable solution artifacts: Stores newly learned patterns and resolutions under docs/solutions/ as structured, frontmatter-rich documents.
  • Prevent duplicate or conflicting documentation: Checks overlap rules to decide whether to create a new artifact or update an existing one.
  • Improve retrieval for future runs: Uses a grep-first search strategy and enforces schema consistency so later workflow skills can quickly find relevant learnings.
  • Pattern extraction before writing: Uses pattern extraction to identify recurring themes across existing artifacts and incorporate them into the new documentation.
  • Supports evidence-first workflow closure: Includes context status and writes a handoff-lite record for downstream workflow continuity.

Quick Start

Use 05-learn after a workflow loop completes or you solve a non-trivial problem to produce a new or updated documentation artifact under docs/solutions/.

Frequently Asked Questions about 05-learn

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

FAQPage Schema
How do I capture engineering solutions as reusable documentation?▼

You can capture engineering solutions as reusable documentation by applying a schema-driven format to store resolved outcomes, pattern extractions, and completion context under a dedicated solutions directory for future retrieval.

What is the best way to prevent duplicate knowledge management artifacts?▼

To prevent duplicate knowledge management artifacts, the system evaluates overlap rules against existing documentation to decide whether to create a new frontmatter-rich artifact or update an existing one.

When do I need to write frontmatter schema documentation for workflow reviews?▼

You need to write frontmatter schema documentation after a workflow loop completes or whenever you resolve a non-trivial problem that should benefit future planning and workflow review cycles.

How does pattern extraction work before storing solution artifacts?▼

Pattern extraction identifies recurring themes across existing artifacts and incorporates them into new documentation, ensuring newly stored solution artifacts capture established patterns alongside the specific resolution.

Can I use grep to search structured engineering documentation?▼

Yes, you can use grep to search structured engineering documentation because the system enforces schema consistency and uses a grep-first search strategy so later workflow skills can quickly find relevant learnings.

Does this approach support workflow closure with handoff records?▼

Yes, this approach supports evidence-first workflow closure by including context status and writing a handoff-lite record to ensure downstream workflow continuity after storing the solution artifact.