What happens after I run the discovery command?

Once the artifacts are created, the product-discovery agent is invoked to analyze the request, identify target users, and produce a comprehensive discovery brief.

Can I use this for existing features?

While designed for new features, you can use it to document and perform discovery on existing functionality that requires better documentation or refinement.

How does it handle feature ID numbering?

The skill automatically scans your existing request files to find the highest current ID and generates the next sequential number in the 'feat-NNN' format.

What does the /discover command do?

The command generates a unique feature ID, creates a structured markdown request, initializes a pipeline state file, and invokes a discovery agent to clarify requirements.

Where are the discovery artifacts stored?

Files are stored within your local project directory under the .claude/pipeline/requests/ and .claude/pipeline/state/ directories.

Feature Discovery Workflow

Name: Feature Discovery Workflow
Author: datum-cloud

bydatum-cloud

•

Productivity & Workflow

Automates the initial stage of feature development by creating standardized request artifacts and triggering AI-driven discovery agents.

The Feature Discovery skill streamlines the product management lifecycle within Claude Code by automating the creation of feature request artifacts and state files. By simply providing a brief feature description, users can instantly generate unique sequential IDs, structured Markdown requests, and JSON state trackers. This skill eliminates manual boilerplate work by automatically handing off requirements to specialized agents that refine the problem statement, identify target users, and assess technical feasibility before development begins.

Key Features

01Standardized Markdown request artifact creation

02Automated pipeline state tracking and initialization

03Pre-populated templates for tracking assumptions and decisions

042 GitHub stars

05Seamless handoff to product-discovery agents

06Sequential feature ID generation (feat-NNN)

Use Cases

01Rapidly documenting new feature ideas during the initial project brainstorming phase

02Standardizing the handoff process between product requirements and technical implementation

03Scaling development workflows by automating the creation of repetitive project management files

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add datum-cloud/claude-code-plugins discover

For use in Claude.ai and ChatGPT

Key Features

01Standardized Markdown request artifact creation

02Automated pipeline state tracking and initialization

03Pre-populated templates for tracking assumptions and decisions

042 GitHub stars

05Seamless handoff to product-discovery agents

06Sequential feature ID generation (feat-NNN)

Use Cases

01Rapidly documenting new feature ideas during the initial project brainstorming phase

02Standardizing the handoff process between product requirements and technical implementation

03Scaling development workflows by automating the creation of repetitive project management files

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add datum-cloud/claude-code-plugins discover

For use in Claude.ai and ChatGPT