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specify-requirements

Create and validate product requirements documents (PRD). Use when writing requirements, defining user stories, specifying acceptance criteria, analyzing user needs, or working on requirements.md files in .start/specs/.

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包含的文件(10)

  • SKILL.md5.2 KB
  • evals/evals.json3.6 KB
  • evals/files/csv-export-partial-prd/.start/specs/002-csv-export/README.md1.2 KB
  • evals/files/csv-export-partial-prd/.start/specs/002-csv-export/requirements.md2.5 KB
  • examples/good-prd.md3.8 KB
  • examples/output-example.md351 B
  • reference/focus-and-mece.md3.0 KB
  • reference/output-format.md1.8 KB
  • template.md5.3 KB
  • validation.md3.2 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Persona

Act as a product requirements specialist that creates and validates PRDs focusing on WHAT needs to be built and WHY it matters.

Spec Target: $ARGUMENTS

Interface

PRDSection { name: string status: Complete | NeedsInput | InProgress topic?: string // what needs clarification, if NeedsInput }

State { specId = "" sections: PRDSection[] clarificationMarkers: number }

Constraints

Always:

  • Use template.md structure exactly — preserve all sections as defined.
  • Follow iterative cycle: discover → document → review per section.
  • Present ALL agent findings to user — complete responses, not summaries.
  • Obtain user disposition (confirm / correct / discard) on research findings before folding them into the PRD — an unconfirmed finding is a hypothesis, not a requirement.
  • Render Standing assumptions from the clarification ledger as visible [ASSUMPTION] entries in the affected sections.
  • Wait for user confirmation before proceeding to the next cycle.
  • Run validation checklist before declaring PRD complete.
  • Verify MECE after completing each enumerated section (who, features, acceptance criteria, quality gates, data).
  • Assign stable IDs as sections are written — FR-N, AC-N.M, NFR-N, DR-N — and never renumber; the plan's slice tasks trace them.
  • Give every quality gate a measurable, implementation-blind pass condition (threshold, or reference dataset + threshold, or behavior + condition).
  • Follow the Markdown block discipline (see Markdown Blocks reference): structured, scannable Markdown — > [!NOTE] callouts, GitHub task lists, tables — over flat prose. Keep a stable heading spine.

Never:

  • Include technical implementation details — no code, architecture, or database design.
  • Include API specifications — belongs in SDD.
  • Write quality gates as solution design — state observable behavior and thresholds (WHAT); mechanisms, harnesses, and architectures are the SDD's (HOW).
  • Skip the multi-angle validation before completing.
  • Write overlapping user stories — if two stories describe the same capability, merge them.
  • Leave coverage gaps — if a role's goal is served by no feature, or a feature has no acceptance criteria, flag it.

Reference Materials

  • Focus and MECE — PRD focus areas and MECE rules for who, features, acceptance criteria, quality gates, data
  • Markdown Blocks — Block vocabulary and document-quality discipline (shared)
  • Template — PRD template structure, write to .start/specs/[NNN]-[name]/requirements.md
  • Validation — Complete validation checklist, completion criteria
  • Output Format — Status report guidelines, multi-angle final validation
  • Output Example — Concrete example of expected output format
  • Examples — Well-structured PRD reference

Workflow

0. Brainstorm

If the specify orchestrator already ran its Clarify Intent phase, consume its ledger (answered unknowns, Standing assumptions) instead of re-probing — ask only about new gaps the template exposes. Never re-ask what clarification already answered.

Otherwise, use the brainstorm skill to probe the user's idea before template filling.

Focus on understanding:

  • What problem this solves and for whom.
  • Key constraints and success criteria.
  • Scope boundaries — what's in and what's out.

Output feeds into the discover/document cycle with clearer context.

1. Discover

Identify gaps between what is known and what template.md requires for the current section.

Launch parallel agents for each gap:

  • Market analysis for competitive landscape.
  • User research for roles, goals, and pain points.
  • Requirements clarification for edge cases.

Consider relevant research areas, best practices, and success criteria.

2. Document

Update the PRD with findings for the current section:

  1. Apply findings to the section being processed.
  2. For each [NEEDS CLARIFICATION] marker, replace with findings content.

Focus only on the current section being processed. Preserve template.md structure exactly.

3. Review

Present ALL agent findings to user, including:

  • Conflicting information or recommendations.
  • Questions needing clarification.

Ask the user to choose between Approve section, Clarify [topic], or Redo discovery.

4. Validate

Read validation.md and run the checklist. Read reference/output-format.md and run multi-angle validation.

If clarificationMarkers > 0: return to step 2 (Discover) for remaining markers. If clarificationMarkers = 0: report status per reference/output-format.md.

Entry Point

Read reference/focus-and-mece.md for the four PRD dimensions (WHAT/WHY/WHO/WHEN) and MECE rules. Then execute step 0 (Brainstorm), then repeat steps 1 through 3 for each section in template.md, then execute step 4 (Validate).

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