dk-compound

Extract conversation learnings into structured documents in docs/.

87|12|Updated Mar 1, 2026
One-click install
npx skills add https://github.com/deepklarity/harness-kit --skill dk-compound
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dk-compound
Source: https://github.com/deepklarity/harness-kit/tree/main/.claude/skills/dk-compound
Command: npx skills add https://github.com/deepklarity/harness-kit --skill dk-compound

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Captures learnings from conversations as a clean, human-readable document stored in docs/ to preserve decisions, patterns, and gotchas for future reuse.

Core Features & Use Cases

  • Structured learnings: extracts meta-level insights and concrete gotchas from a discussion.
  • Knowledge artifact generation: saves a reusable doc in docs/ that can be referenced in design reviews or post-mortems.
  • Activation workflow: supports a haiku subagent to analyze conversation and produce concise notes.

Quick Start

Direct an AI agent to capture the current conversation into a structured doc by running the activation command to generate the artifact in docs/.

Frequently Asked Questions about dk-compound

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

FAQPage Schema
How do I capture conversation learnings into reusable documentation?▼

Capture conversation learnings by running the activation command to trigger a haiku subagent, which analyzes the discussion, extracts meta-level principles and gotchas, and saves a structured human-readable document into the docs/ directory.

What is the best way to document design patterns discovered during a problem-solving session?▼

The best way to document design patterns is to run the activation command, which relies on a haiku subagent to analyze the conversation and produce concise, structured notes saved as a reusable document in the docs/ folder.

When should I generate a knowledge artifact from a conversation?▼

Generate a knowledge artifact after solving a non-trivial problem, discovering a design pattern, or encountering a gotcha that warrants lasting preservation. The Skill formalizes these conversation insights into a structured doc stored in docs/ for future reuse.

Does knowledge management documentation require any specific dependencies or setup?▼

No external dependencies are required for knowledge management documentation generation. It operates by directing an AI agent to run the activation command, which leverages a haiku subagent to analyze the conversation and output structured material into the docs/ directory.

What structure does the generated learning document follow?▼

The generated learning document enforces structured sections specifically for meta-level principles and concrete gotchas. It uses a haiku subagent to analyze the conversation and produce concise, clean, human-readable notes saved in the docs/ directory.