Skillquality 0.45

prd-builder

Production-grade, 10,000+ line PRDs that let AI agents one-shot entire applications. Built on CRHQ.ai.

Price
free
Protocol
skill
Verified
no

What it does

PRD Builder Skill

Purpose: Build comprehensive, AI-agent-executable PRDs through a multi-draft, multi-reviewer methodology. The methodology is universal; the output adapts to the project (size, tech stack, scope, type).


When to Use This Skill

Trigger on any of:

  • User asks to write a PRD, product spec, technical spec, or build plan
  • User wants to scope a non-trivial software project or feature
  • User says "I want an AI agent to build this" or "I want to give this to a developer"
  • User describes a system/feature/product and expects you to formalize it

Do NOT use for: trivial bug fixes, single-line changes, or anything where a few sentences in chat suffice.


Core Principles

  1. No ambiguity, ever. Every contradiction in the PRD becomes a bug in the implementation. The reviewer rounds exist to find and kill these.
  2. Canonical sources. Each concern (schema, API, security, naming, etc.) has ONE canonical section. All other sections reference it; they never redefine it.
  3. Parallel where possible, sequential where dependent. Drafting and reviewing parallelize naturally. Phases are sequential.
  4. At least three drafts. Draft 1 (write) → Reviews → Draft 2 (fixes) → Final Review → Draft 3 (final fixes). Skipping rounds costs more downstream than it saves now.
  5. Two reviewer perspectives. A self-review (architect's eye) and a different-perspective review (security/QA/UX/etc.) catch different categories of issues.
  6. Defaults are decisions. Every customization question must have a working default so the executing agent never blocks.
  7. The PRD is also a runbook. The final section instructs the executor — the PRD is not just what to build, it's how to build it.
  8. Right-size everything. A small feature PRD should not pretend to be a platform spec. The methodology is fixed; the output's scope, depth, and length adapt to the request.

Project Types — Adapt Before Drafting

Before applying the canonical structure, classify the request. Different types need different emphasis.

Project TypeWhat changes
New full-stack productFull canonical structure applies. All 10+ sections relevant.
New backend service / APIFrontend sections are minimal or skipped. API and schema sections expand.
New frontend / UI appSchema may be omitted. Component architecture, state management, design system expand.
Feature added to existing productMUST analyze the existing codebase first. PRD references existing patterns, conventions, schema, and adds delta. Many sections become "follow existing conventions in <file>" rather than restating them.
Refactor / migrationSchema diffs, migration plan, rollback plan, testing matrix become primary.
Internal tool / CLIUI sections drop; CLI ergonomics, configuration, distribution take their place.
Library / SDKPublic API surface, semver policy, examples, docs expand. Server/UI sections drop.
Integration / connectorExternal service contract, error handling, retries, rate limits become primary.

If the request is to extend an existing codebase, Phase 1 expands to include a codebase analysis pass before drafting begins. Do not write a PRD that contradicts the code that's already shipped.


The Seven Phases

Phase 1: Requirement Discovery        (parse intent, codebase analysis if applicable, fill gaps)
Phase 2: Draft 1 Production            (parallel agents, one per section group)
Phase 3: Dual Review                   (self-review + different-perspective review, parallel)
Phase 4: Draft 2 Production            (apply ALL fixes, parallel where possible)
Phase 5: Final Review                  (one reviewer, hunt remaining issues)
Phase 6: Draft 3 Production            (apply remaining fixes)
Phase 7: Delivery                       (artifact + download link if available + memory update)

Phase 1 — Requirement Discovery

Step 1.1: Classify

Pick a project type from the table above. This drives everything.

Step 1.2: For "feature on existing codebase" — Analyze First

Before any drafting, understand the codebase:

  • Tech stack actually in use
  • Folder structure and naming conventions
  • Existing patterns (data access, validation, error handling, auth)
  • Existing schema (tables, columns, FK relationships)
  • Existing API conventions (path style, response shape, auth model)
  • Test setup and conventions
  • Deployment/build scripts

The PRD must extend these, not contradict them.

Step 1.3: Parse Intent Against Requirement Dimensions

These are prompts, not requirements — a frontend-only PRD doesn't need a database section. Use as a checklist of what might be relevant.

#DimensionOften relevant for
1Product/feature typeAll
2Core domain entities/objectsBackend, full-stack, data-heavy UIs
3Users & rolesMulti-user products
4Authentication & authorizationAnything with users
5Tech stack hintsAll
6External integrationsAnything that talks to other services
7Quality/feature barAll — but the bar varies by project
8API exposure / public-API postureBackend, libraries
9Compliance / securityRegulated domains, anything with PII
10Performance / scale targetsAnything user-facing or high-volume
11Deployment modelProductionized work
12Customization scopeMulti-tenant or operator-configurable products
13Execution model (AI vs human, solo vs team)All — drives Section 10
14Output / deliverable formatAll
15Existing constraints (codebase, infra, brand)Extension projects

Step 1.4: Write a Requirement Summary

Capture in session memory or a working note before drafting. Keep it terse:

## Requirement Summary
- Type: <one of the project types>
- Scope: <one paragraph>
- Key dimensions: <relevant from the list>
- Existing context: <if extension — what's already there>
- Open questions: <only ones that genuinely need answers>

If there are open questions, ask them in a single batched message. Never one at a time.


Phase 2 — Draft 1 Production

Section Structure — Adaptive, Not Fixed

Below is a canonical menu of sections. Use what fits the project. Add sections specific to the project type. Drop or merge sections that don't apply.

#SectionWhen to include
1Before You Start (user customization Q&A with defaults)When the PRD will be executed by another agent or team and customization is expected
2Project Overview & VisionAlways
3Technology Stack & ArchitectureNew projects (or extensions where stack matters); skip for pure spec docs
4Conventions & Best PracticesMost projects; for extensions, replace with "Follow existing conventions in <paths>"
5Data Model / SchemaWhen data persistence is involved
6Core Features / Functional RequirementsAlways
7API / Interface DesignWhen there's a service interface (HTTP, RPC, library, CLI)
8Security, Privacy, ComplianceAlways — even "no auth needed" deserves a sentence
9Milestones / Execution PlanWhen execution will be sequenced (multi-step build)
10Executor InstructionsWhen an AI agent or external team will execute
+Project-specific sectionsAdd freely. E.g. "Design System", "ML Model Spec", "Migration Plan", "Rollout Plan", "Telemetry"

The agent has discretion to add, merge, split, or drop sections based on what the project actually needs. A frontend-only PRD might have: Overview, Design System, Component Architecture, State Management, Routing, Conventions, Milestones, Executor Instructions — and that's the right shape for it.

Parallel Drafting

Split the writing across parallel background agents. Group related sections together so each agent has coherent context.

For each agent:

  • Hand it the section(s) to write with bullet-point requirements
  • Hand it a save location
  • Tell it to be exhaustive within scope: "every edge case, every validation rule, zero ambiguity for the things that need to be specified"
  • Tell it what's canonical elsewhere so it references rather than redefines

Run the agents in parallel. Wait for completion. Assemble into a single document.

Per-Section Detail Expectations

Calibrate to the project type. Examples:

  • Schema sections (when present): every column, type, constraint, index, FK behavior, seed data, migration order
  • Feature sections: API endpoints, validation, frontend behavior, side effects, authorization, edge cases — as relevant
  • Component sections (frontend-heavy): component hierarchy, props, state ownership, interaction patterns
  • CLI sections: command tree, flags, exit codes, output formats
  • Library sections: public API surface, types, examples, error model

The principle: specify what's specifiable, leave room for craft where craft is needed. Do not force a schema section into a CSS-refactor PRD.


Phase 3 — Dual Review

Launch two reviewers in parallel with different perspectives. They read the assembled Draft 1 and produce structured findings.

Reviewer A: Self-Review (Architect's perspective)

Looks for:

  • Gaps — what's missing that the project type needs?
  • Contradictions — does Section X say something different from Section Y?
  • Ambiguities — could a careful executor still misinterpret this?
  • Sequencing issues — do milestones depend on things they don't actually have yet?
  • Structural issues — broken cross-references, duplicated specs, naming drift

Reviewer B: Different-Perspective Review

The right "different perspective" depends on the project type. Pick one or compose a hybrid:

Project typeSuggested perspective
Full-stack productSecurity engineer + QA lead
Backend serviceSecurity + reliability/SRE
Frontend / UIUX + accessibility + design systems
Library / SDKAPI designer + DX (developer experience)
Internal toolOperator / day-2 maintainer
Data pipelineData engineer + cost/perf
MobilePlatform-conventions expert

Whichever you pick: instruct the reviewer to poke holes specifically from that perspective.

Required Reviewer Output Format

Both reviewers produce reports in this shape:

# Review Report

## CRITICAL — Will cause build failures or major rework
1. <short title> — <where, what, how to fix>

## HIGH — Will cause confusion or significant rework
...

## MEDIUM / LOW
...

## Master Contradiction Table
| # | Topic | Section A says | Section B says | Resolution |

## Priority Action Items (P0 / P1 / P2)

Insist on this format. Vague feedback ("improve security") is rejected and re-requested.


Phase 4 — Draft 2 Production

Synthesize ALL findings from both reviewers into a fix list. Then launch parallel agents (typically the same split as Phase 2) with explicit per-section fix instructions.

The Draft 2 Agent Prompt Pattern

You are rewriting Section <X> for Draft 2. Read the current draft at <path>.
Apply ALL of the following fixes:

1. <Specific fix — where, what, why>
2. ...

Save the rewritten section to <new path>.

Critical: Make fixes specific and copy-pasteable. Don't say "fix the password policy" — say "harmonize password minimum to N characters in Sections X.Y, X.Z, and N." Vague fix instructions create new contradictions.

Cross-Cutting Standards to Reconcile in Draft 2

These categories of contradiction tend to appear across nearly every PRD. The categories are universal; the specific values are project-dependent. Pick one canonical answer per category and enforce it everywhere.

  • Path / endpoint conventions — pick one style and use it everywhere
  • Response and error envelope shapes — define ONCE, reference elsewhere
  • Pagination model — pick one approach
  • Naming conventions — match what fits the stack and the codebase
  • Soft vs hard delete — pick one policy per entity type
  • Identifier generation — application-side or DB-side, pick one
  • Migration / schema-change tooling — one tool
  • Validation library — one library, ideally shareable across boundaries
  • Configurable vs fixed enums — be explicit which is which

These are categories to check, not answers to enforce. The right answer depends on the codebase, the team, and the constraints.


Phase 5 — Final Review

Single reviewer, final pass. Goal: catch what the dual review missed.

Specifically check:

  • Did the Draft 2 fixes actually land?
  • Did any fixes introduce new contradictions?
  • Are all sections internally consistent?
  • Do schema references match the schema definition (if applicable)?
  • Are all environment variables / configuration items documented in one place?
  • Do milestones each have testable exit criteria?
  • Are cross-references between sections still accurate?
  • Beyond this checklist — this is the final review and the last chance to catch anything that might still be improved. Look for issues, gaps, ambiguities, or improvements not enumerated above. Trust your judgment; flag anything that would make the PRD stronger.

Output: a concise list of remaining issues — not a massive document. If the doc is solid, the reviewer says so.


Phase 6 — Draft 3 Production

Single agent applies the final review's remaining fixes. These are usually small (one-line corrections, value swaps, missing items). After this pass:

  • Update the version header to "Final" (or whatever finalization marker fits)
  • Save to the working location

Phase 7 — Delivery

Three things should happen, adapted to whatever environment the skill is running in:

  1. Show the result to the user. If the host environment supports inline artifacts/canvases/previews, render the PRD there in editable form. Otherwise, surface it via whatever the environment provides (file path, message attachment, link).
  2. Make it portable. If the host environment supports public links/downloads, produce one. Otherwise, ensure the file is saved somewhere the user can retrieve.
  3. Update working memory. Capture what was produced, what drafts existed, and key decisions made — so future sessions or audits can reconstruct the reasoning.

The skill is environment-agnostic. Use the host's facilities for artifacts, downloads, and memory; do not assume specific paths or APIs.


Quality Markers

A finished PRD should pass these checks. Adapt the list — not every marker applies to every project.

  • Each concern has a single canonical section; other sections reference, never redefine
  • No surviving contradictions from the master contradiction table
  • All findings from the different-perspective review are addressed or explicitly accepted with rationale
  • Cross-references between sections are accurate
  • Every external dependency is named (libraries, services, APIs)
  • Every configuration item is documented in one place
  • Every milestone has testable exit criteria (when milestones are present)
  • Defaults are specified for every customization question (when Q&A is present)
  • Project-type-relevant cross-cutting concerns are addressed (e.g. accessibility for UIs, rate limits for APIs, observability for services)
  • No surviving "TBD", "TODO", or "we'll figure this out later"
  • An executor reading this PRD cold can begin work without immediately needing clarifying questions about the document itself
  • The PRD respects existing codebase conventions when extending an existing project
  • The PRD's depth matches the request — not bloated, not skeletal

Anti-Patterns to Avoid

Anti-patternWhy it kills the PRD
Writing one big monolith yourself in serialSlow, prone to forgetting sections, no parallelism gain
Single-reviewer feedbackCatches one perspective's blind spots only
Skipping Draft 2Critical contradictions reach implementation
Vague review feedback ("improve security")Cannot be applied; produces churn
Inline-redefining canonical shapes (response/error/pagination) per sectionGuarantees contradiction — define once, reference everywhere
Letting "TBD" survive into final draftMeans the executor will guess (badly)
Forcing the canonical 10-section template onto a project that doesn't fit itBloat or irrelevance
Specifying tech that ties the PRD to one infrastructure or vendor when the user didn't ask for itReduces portability — keep environment-specific bits behind a referenced skill or env var
Asking the user a string of one-at-a-time questionsDisrespects their time; batch them
Drafting before requirement summary is capturedContext drifts mid-draft
Writing a PRD for a feature without first reading the existing codebaseProduces a PRD that contradicts shipped code
Padding to hit a word/line countLength is a side effect of completeness, not a target

Reference Workflow Checklist

Use as a live checklist when running the skill. Adapt commands and paths to the host environment.

Phase 1 — Discovery
  [ ] Classify project type
  [ ] If extending existing code: analyze the codebase
  [ ] Parse user prompt against Requirement Dimensions
  [ ] Write requirement summary to working memory
  [ ] Ask batched follow-up questions if anything is genuinely unclear
  [ ] Confirm scope with user before proceeding

Phase 2 — Draft 1
  [ ] Decide which canonical sections apply; add project-specific ones
  [ ] Plan section split across parallel drafting agents
  [ ] Launch all drafting agents in parallel (use whatever async/background mechanism the host provides)
  [ ] Wait for completions
  [ ] Assemble Draft 1 into a single document

Phase 3 — Dual Review
  [ ] Pick a "different perspective" appropriate to the project type
  [ ] Launch self-reviewer + different-perspective reviewer in parallel
  [ ] Wait for both reports
  [ ] Read both fully

Phase 4 — Draft 2
  [ ] Synthesize unified fix list from both reviews
  [ ] Launch parallel rewrite agents with specific per-section fix instructions
  [ ] Reconcile cross-cutting categories listed above
  [ ] Assemble Draft 2

Phase 5 — Final Review
  [ ] Single reviewer, concise output expected
  [ ] Identify remaining issues (typically small)

Phase 6 — Draft 3
  [ ] Apply final fixes
  [ ] Mark as Final
  [ ] Save to the working location

Phase 7 — Delivery
  [ ] Show the result via the host's artifact/preview mechanism (if available)
  [ ] Produce a download/share link (if the host supports it)
  [ ] Update working memory with summary of drafts and decisions
  [ ] Hand off to the user with clear pointers

When to Update This Skill

Update when:

  • A pattern emerges across multiple PRDs that should become a default consideration (add to canonical sections menu or reviewer prompts)
  • A category of issue keeps appearing in final review (add it to Phase 4 cross-cutting categories)
  • A user provides post-execution feedback revealing a blind spot (e.g. "the responsive part wasn't covered" → add as a project-type consideration)
  • A new project type becomes common (add to the project-types table)

Do NOT update for:

  • Project-specific quirks (those go in the PRD itself, not the skill)
  • One-time formatting preferences
  • Tech-stack-specific opinions (those belong in code-conventions skills, not here)

Capabilities

skillsource-zeropointreposkill-prd-buildertopic-agent-skillstopic-agentic-aitopic-agentic-workflowtopic-ai-developmenttopic-ai-development-platformstopic-claude-codetopic-prdtopic-product-requirements

Install

Installnpx skills add ZeroPointRepo/CRHQ-PRDs
Transportskills-sh
Protocolskill

Quality

0.45/ 1.00

deterministic score 0.45 from registry signals: · indexed on github topic:agent-skills · 8 github stars · SKILL.md body (19,647 chars)

Provenance

Indexed fromgithub
Enriched2026-05-18 19:08:52Z · deterministic:skill-github:v1 · v1
First seen2026-05-18
Last seen2026-05-18

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