skills.rest
Young-Z
Young-ZCOMMUNITY
Explore all skills by this author →
GitHub

x-ipe-meta-lesson-learned

Capture lessons learned from skill executions into structured LL-{NNN} entries.

8|2|Updated Jan 22, 2026
Search Tags:#templates#feedback#documentation#improvement#ground-truth#lesson
One-click install
npx skills add https://github.com/Young-Z/X-IPE --skill x-ipe-meta-lesson-learned
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: x-ipe-meta-lesson-learned
Source: https://github.com/Young-Z/X-IPE/tree/main/.github/skills/x-ipe-meta-lesson-learned
Command: npx skills add https://github.com/Young-Z/X-IPE --skill x-ipe-meta-lesson-learned

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill captures and organizes lessons learned from skill executions, issues, and human feedback to guide future improvements.

Core Features & Use Cases

  • Structured lesson entries per skill (LL-{NNN}) stored under x-ipe-docs/skill-meta/{skill-name}/x-ipe-meta-lesson-learned.md
  • Records observed vs. expected behavior, ground truth, severity, and improvement proposals
  • Supports human feedback, versioned updates, and templates for consistency

Quick Start

Trigger a lesson capture during or after a skill run by saying capture lesson or reporting an issue. The system will gather context, document the issue, capture ground truth, propose improvements, and append a new LL entry.

Frequently Asked Questions about x-ipe-meta-lesson-learned

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

FAQPage Schema
How do I capture lessons learned from a skill execution to improve future runs?▼

To capture lessons learned, trigger the process by saying capture lesson or reporting an issue after a skill run. The system gathers context, documents observed versus expected behavior, records ground truth, proposes improvements, and appends a structured entry.

What is the best way to document ground truth and feedback for skill improvement?▼

The best way to document ground truth is using a template-driven process that records observed behavior, expected behavior, severity, and improvement proposals. This approach requires human input to ensure accurate ground truth for future updates.

How do I organize documentation for skill improvement feedback?▼

You organize feedback by generating a unique LL-{NNN} entry for each skill. These structured lesson entries are stored under x-ipe-docs/skill-meta/{skill-name}/x-ipe-meta-lesson-learned.md to maintain versioned updates and consistency.

Do I need human input to record lessons learned for skill meta workflows?▼

Yes, you need human input to provide ground truth when recording lessons learned. The template-driven process depends on human feedback to accurately document issues and propose improvements within the X-IPE meta workflow.

What limitations exist when capturing lessons learned from skill executions?▼

A key limitation is the dependency on human input for ground truth; the process cannot autonomously validate issues. Additionally, it operates strictly within the X-IPE meta workflow and stores data in fixed markdown paths.

Related Skills

Explore More Content & Communication Skills→
Young-ZYoung-Z
8

x-ipe-tool-brand-theme-creator

Generate X-IPE theme packages with tokens and visual previews from brand inputs.

Community
Advanced
ATTCKDigitalATTCKDigital
50

smith-bank

Save, retrieve, and manage banked ideas as markdown files with frontmatter.

Official
Intermediate
Young-ZYoung-Z
8

x-ipe-task-based-project-init

Scan existing projects and create standardized x-ipe-docs/ folders with task-board initialization.

Community
Intermediate
mediar-aimediar-ai
1.6k

Terminator Issue Reporter

Generate structured GitHub issues for Terminator failures with logs and reproduction steps.

Official
Advanced