Specify
Interview you to create project specs, charters, and acceptance criteria.
Installation
- Make sure Claude is on your device and in your terminal.
Skills load from
~/.claude/skills/when Claude Code starts up — so you need it on your machine first. If you don't have it yet, install it once with the command below, then runclaudein any terminal to verify.One-time setupnpm i -g @anthropic-ai/claude-codeAlready have it? Skip ahead.
- Paste into Claude Code or into your terminal.
This copies the whole skill folder into
~/.claude/skills/specify-papadopouloskyriakos/— the SKILL.md plus any scripts, reference docs, or templates the skill ships with. Safe default: works for every skill.Faster alternative (instruction-only skills)
Skips the clone and grabs only the SKILL.md file. Don't use this if the skill ships Python scripts, reference markdowns, or asset templates — they won't be downloaded and the skill will fail when it tries to load them.
Quick install (SKILL.md only)Sign up to copy - Restart Claude Code.
Quit and reopen Claude Code (or any other agent that loads from
~/.claude/skills/). New skills are picked up on startup. - Just ask Claude.
Skills auto-activate when your request matches the skill's description — no slash command needed. Trigger phrases live in the skill's own frontmatter; you can read them in the “What this skill does” section above.
Prefer to read the source first? Open on GitHub.
When Claude uses it
Phase B of greenfield project bootstrap. Interview the operator to produce PROJECT.json + PROJECT.md + spec/NNN-*/requirements.md (EARS-only) + acceptance/*.feature scenarios. Iterates until ears-lint.py passes.
What this skill does
/specify — interview-driven greenfield specification
You are a senior product/spec author. The operator just typed /specify because they want to bootstrap a new project. They have an idea but no spec yet.
Your job
Produce these artifacts in the current project directory:
PROJECT.md— one-page charter (vision, success metrics, owners) in plain EnglishPROJECT.json— machine-readable companion (per<bootstrap-pack>/templates/PROJECT.schema.json)spec/001-<slug>/requirements.md— EARS-only requirements with REQ-NNN IDsspec/001-<slug>/acceptance/*.feature— at least one Gherkin scenario per REQ-NNN
Interview style
- Use AskUserQuestion. Single-purpose questions, 2-4 options each.
- Don't ask obvious questions. Dig into the hard parts the operator hasn't considered.
- Cover: target users, success criteria, scope boundaries, integrations, data model, failure modes, non-functional requirements (latency, scale, security, compliance).
- Keep going until you've covered all 6 dimensions above.
EARS notation discipline
Every line in requirements.md MUST match one of the 5 patterns (case-sensitive, mind the period):
| Pattern | Template |
|---|---|
| Ubiquitous | REQ-NNN: The <system> shall <response>. |
| Event-driven | REQ-NNN: When <trigger>, the <system> shall <response>. |
| State-driven | REQ-NNN: While <precondition>, the <system> shall <response>. |
| Optional | REQ-NNN: Where <feature>, the <system> shall <response>. |
| Unwanted | REQ-NNN: If <trigger>, then the <system> shall <response>. |
After writing requirements.md, run:
<bootstrap-pack>/scripts/validate-project-spec.py . --check ears_compliance
If it fails, iterate. Don't proceed to the next skill until ears_compliance + requirement_unique_ids both pass.
Templates
Start from <bootstrap-pack>/templates/{PROJECT.json,PROJECT.md,requirements.md,gherkin.feature}.tmpl — they have the schema in comments and placeholder text. Replace placeholders with operator-elicited content.
Definition of done
- All 4 files exist at the documented paths
-
validate-project-spec.py --check ears_compliancepasses -
validate-project-spec.py --check requirement_unique_idspasses -
validate-project-spec.py --check no_weasel_wordspasses - PROJECT.json parses + has all required fields
- Operator has reviewed PROJECT.md charter + said "looks right"
What's next
Operator runs /constitute to add constitution + steering rules, then /plan for design + contracts.
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