highlight

Capture and codify experiential thinking from task executions into a reusable library.

1|Updated Feb 10, 2026
One-click install
npx skills add https://github.com/huacheng/moonview --skill highlight
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: highlight
Source: https://github.com/huacheng/moonview/tree/main/plugins/task-ai/skills/highlight
Command: npx skills add https://github.com/huacheng/moonview --skill highlight

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Distills and preserves experiential thinking from task executions into a structured library, enabling consistent reuse, auditability, and knowledge transfer.

Core Features & Use Cases

  • Comprehensive distillation: capture decisions, patterns, and lessons learned across the task lifecycle.
  • Thinking patterns: synthesize and index recurring reasoning for reuse.
  • Collaboration-ready: enables cross-team knowledge sharing and onboarding.

Quick Start

Run the highlight skill to distill the current notebook's experiences into a complete, reusable entry.

Frequently Asked Questions about highlight

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

FAQPage Schema
How do I distill experiential thinking from task executions into a reusable knowledge library?

Distill experiential thinking by capturing decisions, patterns, and lessons learned across the task lifecycle into a structured, reusable library for future tasks. This enforces strict frontmatter metadata and modular outputs for experiences, thinking, and references.

What is the best way to synthesize recurring reasoning patterns for future task reuse?

Synthesize recurring reasoning patterns by capturing and indexing experiential thinking from task executions. This creates a collaboration-ready knowledge library that enables consistent reuse, auditability, and cross-team knowledge transfer.

How do I enforce strict frontmatter metadata when codifying task wisdom?

Enforce strict frontmatter metadata by applying safe write protocols during the codification of experiential thinking. This ensures modular outputs for experiences, thinking, and references to support automation and traceability.

Does the highlight skill support cross-team knowledge sharing and onboarding?

The highlight skill supports cross-team knowledge sharing and onboarding by distilling expertise into a collaboration-ready knowledge library. It captures comprehensive task lifecycle distillations and thinking-pattern synthesis for reuse.

What are the limitations of using a knowledge library to capture task experiences?

Capturing task experiences in a knowledge library requires applying safe write protocols and strict frontmatter metadata to maintain traceability. It focuses on codifying experiential thinking rather than executing the tasks themselves.

Why do I need to apply safe write protocols when distilling task experiences?

Apply safe write protocols when distilling task experiences to ensure traceability and support automation. This enforces strict frontmatter metadata and generates modular outputs for experiences, thinking, and references.