mpiton/agentic-atdd/spec-generate
Claude Code and agent skill by mpiton/agentic-atdd
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Generate Gherkin acceptance scenarios from a context.md, with mandatory interview for ambiguities, concrete data, and test-level tags. Use after impact-map, or when the user provides a user story and rules and asks for scenarios.
Install
npx vskill@latest install mpiton/agentic-atdd/spec-generateSKILL.md
/spec-generate
Generate Gherkin scenarios from specs/<us-slug>/context.md. The pipeline calls this skill in Phase 2 §3 of the diagram.
When to use
- After
impact-mapproducedcontext.md. - When the user pastes a structured story + rules and asks for acceptance scenarios.
Inputs
specs/<us-slug>/context.md(see `impact-map`).
Workflow
1. Interview (mandatory before generation)
Read context.md first, and treat it as answered ground. impact-map (or from-issue / from-linear) already elicited the actor, the action, the goal, and the numbered rules — do NOT re-ask any of that. Re-interviewing fields the user already gave upstream is the main avoidable token cost in the spec phase; thread them forward instead.
Ask only the ambiguities that context.md does NOT already resolve — DO NOT guess on those. For each genuinely-new ambiguity, ask one focused question. Examples of things that always require a question if not already explicit in context.md:
- Numeric thresholds without units (
"limit of 100"— 100 what?). - Implicit time zones, date formats, currency.
- Identity / equality semantics (case sensitivity, trimming).
- Default values for omitted fields.
- Behavior on the boundary itself (
<=vs<).
Stop the interview only when every rule can be expressed with concrete, unambiguous data.
2. Generate scenarios
For each business rule R-NN, produce one .feature file at specs/<us-slug>/<rule-slug>.feature.
Each file MUST contain scenarios covering at least:
- Nominal path (tag:
@nominal). - Violation of the rule (tag:
@violation). - Authorization path if the rule involves access (tag:
@auth). - Technical / integration edge if applicable (tag:
@technical). - Limits / boundaries for any numeric rule (tag:
@limit).
Use concrete data (real values, not placeholders). Example: prefer Given the cart contains 3 items at 19.99 EUR over Given some items in the cart.
Add a # Rule: R-NN comment at the top of each feature file so traceability survives renames.
Triangulation: if a rule is complex, produce multiple examples (Scenario Outline with Examples:) rather than a single example.
3. Test-level tag
Tag each scenario by the appropriate test level:
@use-case— pure domain / use case test.@e2e— end-to-end with the real adapters.@ui— UI driver (Playwright, RTL, etc.).
If unsure, ask the user before generating.
Outputs
specs/<us-slug>/<rule-slug>.feature— one per business rule.
Handoff
Next: `spec-review` on the generated .feature files.
Anti-patterns
- Don't generate scenarios for rules that are not in
context.md. Push back, askimpact-mapto capture them first. - Don't invent assertions; every assertion must trace to a rule.
- Don't mock the system under test in the scenario data. Scenarios describe behavior, not implementation.
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/spec/spec-generate/SKILL.md
Popularity
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