Feature Value Planning

Feature Value Planning is an AI Engineering skill for Claude Code, published by mattgierhart in PRD-driven-context-engineering.

182 stars10 forkson mattgierhart/PRD-driven-context-engineeringAdded 2026/09/07Repository updated 2026/08/31

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Install in seconds

Install Feature Value Planning

Copy Feature Value Planning into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/mattgierhart/PRD-driven-context-engineering/tree/main/.claude/skills/prd-v03-features-value-planning ~/.claude/skills/prd-v03-features-value-planning

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/mattgierhart/PRD-driven-context-engineering.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: .claude/skills/prd-v03-features-value-planning/SKILL.md in mattgierhart/PRD-driven-context-engineering
Installs to: ~/.claude/skills/prd-v03-features-value-planning
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 3475 skills

What Feature Value Planning does

Feature Value Planning defines and prioritizes features with traceability to outcomes, moat, and pricing tiers. Use it when scoping an MVP, mapping parity vs. delta features, or deciding which capabilities belong in each tier.

Feature Value Planning is cataloged under AI Engineering on DirSkills. Feature Value Planning comes from a repository tagged agent-skills, agentic-coding, ai-agents, ai-assisted and claude.

Documentation

README

Excerpt

Feature Value Planning

Position in workflow: v0.3 Commercial Model → v0.3 Feature Value Planning → v0.4 User Journeys

Features are the unit of scope. Every feature must trace back to why it exists: outcome, moat, competitive position, or pricing tier.

Consumes

This skill requires prior work from v0.1-v0.3:

CFD-* entries (customer feedback, from v0.1-v0.2) — Evidence for what users need/want
KPI-* entries (outcome definitions, from v0.3 Outcome Definition) — What metrics does each feature support
BR-* moat entries (from v0.3 Moat Definition) — What features defend our competitive position
BR-* pricing entries (from v0.3 Pricing Model) — What features differentiate tiers
Market landscape analysis (from v0.2) — Competitive feature comparison

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Feature Value Planning

What else does mattgierhart publish alongside Feature Value Planning?
Feature Value Planning is one of 25 skills that DirSkills catalogs from mattgierhart/PRD-driven-context-engineering, the repository it ships in. Its siblings there include Architecture Design, Competitive Landscape Mapping and Environment Setup. Each one is a separate skill with its own page in this directory, installs the same way Feature Value Planning does, and is maintained by mattgierhart in that same repository. The rest of the collection is listed on the mattgierhart/PRD-driven-context-engineering page.
How does Feature Value Planning compare to other AI Engineering skills?
Feature Value Planning ranks #3058 by stars among the 3475 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Feature Value Planning against them. Open each page to compare what they document and how they install.