Prd V03 Features Value Planning logo

Prd V03 Features Value Planning

Community
mattgierhart
prd-v03-features-value-planning

Define and prioritize features with strategic traceability during PRD v0.3 Commercial Model. Triggers on requests to define features, prioritize capabilities, scope MVP, map features to pricing tiers, identify parity vs. delta features, or when user asks "what features do we build?", "what's in MVP?", "which features matter?", "feature priority", "parity features", "what's our delta?". Consumes KPI- (Outcome Definition), BR- (Pricing Model, Moat), and CFD- (Market Moat Analysis) from v0.3. Outputs FEA- entries with strategic traceability and BR-FEA- governance rules. Feeds v0.4 User Journeys.

Overview

Publishermattgierhart
RepositoryPRD-driven-context-engineering
Skill nameprd-v03-features-value-planning
Stars
179
Forks
11
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by mattgierhart on GitHub. Read the source before you install it.

Installation

Install the Prd V03 Features Value Planning AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/mattgierhart/PRD-driven-context-engineering.git /tmp/PRD-driven-context-engineering
mkdir -p .claude/skills
cp -r /tmp/PRD-driven-context-engineering/plugins/prd-ce/skills/prd-v03-features-value-planning .claude/skills/prd-v03-features-value-planning
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Prd V03 Features Value Planning in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Prd V03 Features Value Planning on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Prd V03 Features Value Planning is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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 skill assumes v0.1-v0.2 research is complete and risk/tech decisions (v0.5) are not yet made.

Produces

This skill creates/updates:

  • FEA-* entries (feature definitions, with confidence scoring) — Every feature in scope with traceability
  • BR-FEA-* entries (governance rules for feature decisions) — Scope protection rules
  • MVP-SCOPE artifact — Explicit list: "These X features (FEA-001, FEA-005, FEA-008) define our MVP"
    • Example: MVP-SCOPE: 5 P0 features + 3 P1 features = 8 total. Rationale: Delivers value on [KPI-001, KPI-002]. Competitive parity [FEA-001-003], Delta [FEA-004], Pricing [FEA-005]
    • This becomes the definition for v0.4 user journeys and v0.7 build scope

All FEA- entries include confidence:

  • confidence: 2-3/5 (based on CFD- evidence strength)
  • Evidence: "CFD-001, CFD-005, competitive-analysis"
  • Forward target: "Would move to 4/5 if beta cohort uses it"

Feature Classification Framework

TypeDefinitionStrategic PurposeEvidence Required
MoatBuilds/defends competitive advantageSupports BR- moat ruleHigh (CFD- proving differentiation)
OutcomeDirectly drives success metricTied to KPI- entryHigh (KPI- link mandatory)
ParityMatches competitor baselineFrom Competitive LandscapeMedium (CFD- competitor evidence)
DeltaDifferentiation from competitorsOur advantage over marketHigh (CFD- gap evidence)
TierDifferentiates pricing packagesFrom Pricing BR-Medium (BR- tier assignment)
Table StakesExpected but not differentiatingIndustry standardLow (common knowledge)

Rule: P0 features require Moat, Outcome, or Delta classification. Table Stakes alone cannot justify P0.

Product Type × Feature Strategy

Feature focus varies by product type (from v0.2 classification):

Product TypePrimary FocusParity ApproachDelta Approach
Fast FollowParity + focused delta1:1 critical feature matchSingle compelling improvement
InnovationMoat-building featuresMinimal (new category)Core differentiation IS the product
SliceSegment-specific featuresPartial (niche needs differ)Deep fit for underserved segment

Fast Follow Constraint

BR-FEA-PARITY-FIRST: No delta features until parity features complete. Users compare to incumbent first.

Innovation Pattern

Moat features = 60%+ of scope. Table stakes minimized. Delta is the entire value proposition.

Slice Pattern

80/20 rule: Match 20% of incumbent features that serve 80% of niche use cases. Delta = niche-specific depth.

Priority Tier Criteria

TierCriteriaEvidence Threshold
P0 — Must HaveBlocks launch without it; tied to primary KPI- or moat BR-CFD- proof + KPI-/BR- link
P1 — Should HaveMeaningfully improves outcome; supports tier differentiationCFD- user signal
P2 — Nice to HaveEnhances experience; no direct KPI impactReasonable assumption OK
P3 — Defer/CutScope creep signal; can add post-launchNone (remove from scope)

Kill criterion: If >40% of features are P2/P3, scope is bloated. Re-evaluate.

FEA- Output Template

Create FEA- entries in this format:

FEA-XXX: [Feature Name]
Type: [Moat | Outcome | Parity | Delta | Tier | Table Stakes]
Priority: [P0 | P1 | P2 | P3]
Description: [What the feature does — user-facing capability]
Outcome Link: [KPI-XXX this supports, or "N/A"]
Moat Link: [BR-XXX moat rule this supports, or "N/A"]
Pricing Link: [BR-XXX tier this belongs to, or "All tiers"]
Competitor Comparison: [Parity with X | Delta vs X | Unique | Table stakes]
Validation: [CFD-XXX evidence, or validation method]
Acceptance Criteria: [Testable condition for "done"]

Example entries:

FEA-001: One-Click Scheduling
Type: Parity
Priority: P0
Description: Schedule meetings with single click from availability view
Outcome Link: KPI-002 (activation rate)
Moat Link: N/A
Pricing Link: All tiers
Competitor Comparison: Parity with Calendly
Validation: CFD-012 (competitor feature audit)
Acceptance Criteria: User completes scheduling in ≤3 clicks

FEA-002: Offline Mode
Type: Delta
Priority: P0
Description: Full functionality without internet connection
Outcome Link: KPI-001 (TTFV for field users)
Moat Link: BR-012 (moat: works anywhere)
Pricing Link: BR-045 (Pro tier differentiator)
Competitor Comparison: Delta vs Notion (requires connection)
Validation: CFD-018 (user interviews: connectivity complaints)
Acceptance Criteria: All core features function with 0 connectivity for 24h

BR-FEA- Governance Rules

Create governance rules for feature decisions:

BR-FEA-XXX: [Rule Name]
Type: [Scope Protection | Prioritization Rule | Validation Gate]
Rule: [Constraint statement]
Rationale: [Why this rule exists]
Enforcement: [When/how applied]

Standard rules to establish:

  • BR-FEA-001: Outcome Link Required — P0/P1 features must link to KPI- entry
  • BR-FEA-002: Validation Before Build — P0 features require CFD- evidence before development
  • BR-FEA-003: Scope Freeze Gate — Feature list locked after v0.4; changes require EPIC

Anti-Patterns to Avoid

Anti-PatternSignalFix
Feature creepP2/P3 > 40% of scopeCut ruthlessly; defer to backlog
Implementation masquerading as feature"Use Redis caching"Reframe as user outcome
Orphaned featuresNo KPI-, BR-, or CFD- linkAdd traceability or cut
Assumption-based priority"Users will love this"Require CFD- evidence
Parity inflationEverything is "parity"Challenge: is competitor feature actually used?
Delta without moatDelta feature easy to copyTie to defensible BR- moat

Downstream Connections

This skill's outputs feed into multiple downstream skills:

ConsumerConsumesPurpose
v0.4 User JourneysFEA-* entries + MVP-SCOPE artifactDesign journey paths through MVP features
v0.5 Red Team ReviewFEA-* entriesAssess technical/risk feasibility of features
v0.6 ArchitectureFEA-* entries + MVP-SCOPEDesign system that supports MVP features
v0.7 Build ExecutionFEA-* entries + MVP-SCOPEDefine EPIC scope (which features = which EPICs)
v0.9 GTMFEA-* entries (especially Delta)Build launch messaging around delta features

Critical handoff: The MVP-SCOPE artifact is the boundary. Everything in the list goes to v0.4+. Everything outside gets deferred to post-launch backlog.

Detailed References

  • Good/bad examples: See references/examples.md
  • FEA- entry template: See assets/fea.md
  • Competitive feature matrix: See assets/competitive-feature-matrix.md

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Prd V03 Features Value Planning AI skill do?

Define and prioritize features with strategic traceability during PRD v0.3 Commercial Model. Triggers on requests to define features, prioritize capabilities, scope MVP, map features to pricing tiers, identify parity vs. delta features, or when user asks "what features do we build?", "what's in MVP?", "which features matter?", "feature priority", "parity features", "what's our delta?". Consumes KPI- (Outcome Definition), BR- (Pricing Model, Moat), and CFD- (Market Moat Analysis) from v0.3. Outputs FEA- entries with strategic traceability and BR-FEA- governance rules. Feeds v0.4 User Journeys.

Why use Prd V03 Features Value Planning on TypingMind?

Because you install it once and use it with any model. Prd V03 Features Value Planning is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Prd V03 Features Value Planning in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mattgierhart/PRD-driven-context-engineering/tree/main/plugins/prd-ce/skills/prd-v03-features-value-planning. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Prd V03 Features Value Planning?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Prd V03 Features Value Planning?

As many as you like. As long as a model supports skills, you can use Prd V03 Features Value Planning with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Prd V03 Features Value Planning AI skill free?

Yes. It is published on GitHub by mattgierhart under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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