rsmdt/the-startup/specify-requirements
Claude Code and agent skill by rsmdt/the-startup
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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/.
Install
npx vskill@latest install rsmdt/the-startup/specify-requirementsSKILL.md
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:
- Write the
## Requirementspart ofspec.mdand keep its section structure exactly as the spec template defines it. - Draft every section, validate, then close the part with one approval gate — not one review per section.
- Obtain user disposition (confirm / correct / discard) on research findings before folding them into the PRD — an unconfirmed finding is a hypothesis, not a requirement. Ask each observable finding (a product rule users could tell apart in the UI or the interface the brief or contract defines) as its own question, batched up to four per call; list the rest for confirmation with the approval. Error precedence, unknown or null fields, and Origin, Host, or CSRF checks are never observable: take the recommended default.
- Cite Standing assumptions from the clarification ledger as
[ASSUMPTION An]in the affected sections; the assumption itself lives only in the Ledger's Assumptions table. - 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 — they belong in the Solution part.
- 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)
- Spec Template — the
## Requirementspart of.start/specs/[NNN]-[name]/spec.md - Validation — Complete validation checklist, completion criteria
- Output Format — Status report guidelines, multi-angle final validation
- Output Example — Concrete example of expected output format
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 the gaps between what is known and what each section of the Requirements part needs.
Close them yourself in the main context: competitive landscape, roles, goals, and pain points, edge cases. Launch parallel research agents only when the domain is unknown territory — an unfamiliar market, regulation, or standard needing independent investigations — and present their findings in full.
2. Document
Write every section of the Requirements part with the findings, replacing each [NEEDS CLARIFICATION] marker. Set gates.requirements to draft. Record the gate and one requirement event per feature with its criteria ids (node ${CLAUDE_PLUGIN_ROOT}/scripts/spec.js {specId} --event '{"kind":"requirement","id":"FR-1","acs":["AC-1.1","AC-1.2"]}').
3. Validate
Read validation.md and run the checklist. Read reference/output-format.md and run multi-angle validation. Fix what fails; if a gap needs the user, carry it to step 4 as a question.
4. Approve
Present the part for one approval:
- one or two lines per section — what it now says;
- each observable item still undecided (a finding, an assumption, an open question), each as its own question with its proposed default, sent in the same call as the approval question (up to four questions per call);
- the non-observable findings and defaults together, confirmed with the approval.
Ask the user to choose between Approve and continue, Walk me through section by section, or Change [topic]. A walkthrough presents one section at a time for approval. Record each answered assumption and question as an event. On approval set gates.requirements to approved, record the gate event, and 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) and steps 1 through 4 in order.
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingplugins/start/skills/specify-requirements/SKILL.md
Popularity
- Repository stars
- 284
- Repository forks
- 41
- 7-day trend score
- 28
Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 18 Mar 2026, 7 months ago.
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