task

Parse natural language into structured task documents with YAML frontmatter.

42|9|Updated Feb 15, 2026
One-click install
npx skills add https://github.com/lsnackerman/raw-clauding-skills --skill task-lsnackerman
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: task
Source: https://github.com/lsnackerman/raw-clauding-skills/tree/main/task
Command: npx skills add https://github.com/lsnackerman/raw-clauding-skills --skill task-lsnackerman

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Converts ambiguous requests into a living, structured task doc that captures scope, decisions, and progress over time.

Core Features & Use Cases

  • Structured task docs: generate metadata, topics, priority, and status for new work from plain language.
  • Living log: automatically link /wrap updates and /session captures to the task, preserving decisions and observations.
  • Archive finished work: move completed tasks to tasks/_done/ via the /wrap flow for traceability.

Quick Start

Create a new task doc from a natural language prompt and record initial context and goals.

Frequently Asked Questions about task

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

FAQPage Schema
How do I convert natural language into structured project management documentation?

To convert natural language into structured project management documentation, this Skill parses plain text prompts to generate task docs with YAML frontmatter metadata, priority, status, and WHAT, WHO, HOW sections. It transforms ambiguous requests into a defined content schema automatically.

What is the best way to maintain a living task log across multiple sessions?

The best way to maintain a living task log across multiple sessions is using a structured task doc that links session captures and wrap updates. This approach preserves decisions and observations over time, providing traceable progress tracking for ongoing project management.

Can I archive finished project tasks for long-term traceability?

Yes, you can archive finished project tasks for long-term traceability. The archiving process moves completed task documentation to a designated done folder via the wrap flow, ensuring that all historical context, decisions, and progress records remain accessible.

How do I capture metadata and status for new project tasks from plain text?

To capture metadata and status for new project tasks from plain text, the Skill extracts scope and decisions from natural language to populate a structured YAML frontmatter. This metadata includes priority, topics, and current status for each new work item.

Does this task documentation approach work without external dependencies?

Yes, this task documentation approach works without external dependencies. The Skill operates independently to parse natural language and generate structured task docs, requiring no additional components or frameworks to initiate, update, and archive project work.