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Nathan-Schwartz
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to-pkm

Convert conversations into atomic PKM artifacts with compound extensions and frontmatter.

5|4|Updated Dec 4, 2017
Search Tags:#pkm#session#frontmatter#knowledge-management#artifact
One-click install
npx skills add https://github.com/Nathan-Schwartz/dotfiles --skill to-pkm
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: to-pkm
Source: https://github.com/Nathan-Schwartz/dotfiles/tree/main/claude/.claude/skills/to-pkm
Command: npx skills add https://github.com/Nathan-Schwartz/dotfiles --skill to-pkm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Converts conversational content into atomic PKM artifacts that can be stored, organized, and retrieved as a knowledge base.

Core Features & Use Cases

  • Atomic PKM artifact generation from chat transcripts with compound extensions (.ref.md, .synth.md, .temp.md) and frontmatter.
  • Reference-driven curation: uses embedded epistemic references and a PKM schema to ensure consistency and traceability.
  • Targeted export: writes artifacts to a user-specified directory for seamless knowledge repository integration.
  • Use case: capture research notes from a meeting chat to build a structured knowledge base.

Quick Start

Request the agent to convert the current conversation into atomic PKM artifacts placed in the designated target directory.

Frequently Asked Questions about to-pkm

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

FAQPage Schema
How do I convert chat logs into knowledge management artifacts?▼

To convert chat logs into knowledge management artifacts, this Skill processes conversational content and generates atomic PKM entries with frontmatter and compound extensions like .ref.md or .synth.md.

What is an atomic PKM artifact and how does frontmatter structure it?▼

An atomic PKM artifact is a discrete, self-contained knowledge base entry generated from a conversation, structured with frontmatter metadata and epistemic references to ensure traceability and consistency.

How do I save research notes from a meeting chat to a specific directory?▼

You can save research notes from a meeting chat by requesting the agent to convert the conversation, which will write the generated PKM artifacts directly to your user-specified target directory.

Does this knowledge management conversion require any external dependencies?▼

No external dependencies are required for this knowledge management conversion, as the Skill operates autonomously to apply the PKM schema and write files to your designated directory.

What is the best way to capture findings from a conversation into a structured knowledge base?▼

The best way to capture findings is applying this Skill to a target directory, which uses a manifest-first requirement to reference epistemic data and generate structured PKM artifacts.

When should I not use automated conversation conversion for knowledge management?▼

You should not use automated conversation conversion when your chat logs lack substantive research value or when your target directory does not support the required frontmatter and compound extension schema.

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