Agent-Skills.md

Agent Skills: doc-bdd-autopilot

Automated BDD scenario generation from EARS requirements - generates Gherkin Given-When-Then scenarios with ADR-Ready scoring

UncategorizedID: vladm3105/aidoc-flow-framework/doc-bdd-autopilot
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pnpm dlx add-skill https://github.com/vladm3105/aidoc-flow-framework/tree/HEAD/platforms/claude-code-plugin/skills/doc-bdd-autopilot

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platforms/claude-code-plugin/skills/doc-bdd-autopilot/SKILL.md

Skill Metadata

Name
doc-bdd-autopilot
Description
Generate BDD scenarios end-to-end from EARS, a prompt, or an IPLAN - detect input, generate Gherkin scenarios, validate, and run the audit/fix cycle. Use to create or batch-create BDD suites.

doc-bdd-autopilot

Purpose

Automated BDD generation pipeline. From upstream EARS (docs/03_EARS/), a user prompt, or an implementation plan (IPLAN-*), it analyzes the source, generates a complete BDD suite of Given-When-Then scenarios, validates readiness, maintains BDD-00_index.md, and drives the audit↔fix cycle to a passing ADR-Ready score — for one BDD or a batch.

Layer: 4. Upstream: EARS (with BRD/PRD trace) / prompt / IPLAN input. Downstream: a validated BDD + index entry.

Skill Dependencies

| Skill | Role | |-------|------| | ../doc-bdd/SKILL.md | BDD structure, Gherkin syntax, and authoring rules (generation) | | ../doc-bdd-audit/SKILL.md | quality gate (ADR-Ready scoring + findings) | | ../doc-bdd-fixer/SKILL.md | applies fixes from the audit report | | ../doc-naming/SKILL.md | element-ID standards |

Input Contract

Accepts: a target BDD id/path; an upstream EARS id/path; a free-text prompt; or an IPLAN path. Optional: score threshold (default 90), max fix iterations (default 3), batch list. With no explicit input, treat the request as a prompt.

Smart Document Detection

For each target, check whether the BDD already exists (nested folder docs/04_BDD/BDD-NN_{slug}/):

  • Missing → generate mode (from EARS / prompt / IPLAN).
  • Exists → review & fix mode (audit, then fix if below threshold).

Determine deliverable_type (code/document/ux/risk/process) from the inherited PRD/BRD chain. Verify the upstream EARS exists before generating.

Model precheck

Advisory, best-effort. Surfaces the model you recommended for this layer; it cannot switch the session model. Before invoking the driver:

  1. If .claude/aidoc-flow.config.yaml is absent, or has no model.* keys, skip this section entirely (no output).
  2. Resolve the recommended model: model.per_layer.BDD if set, else model.default.
  3. Act on model.precheck (warn | silent | block):
    • warn (default) — print one line, then continue to the driver: ℹ BDD recommends model '<rec>'. If you're not on it, run /model <rec> (or set model.precheck: silent to hide this).
    • silent — print nothing; continue.
    • block — print the line above plus precheck=block: confirm you want to draft on the current model, or run /model <rec> first., then wait for the user to confirm before continuing.

Workflow

Saga-driven generation loop (review_mode: team)

Step 1 — Invoke the driver. Period. The harness sets PREV_OUTPUT, ARTIFACT_ID, ARTIFACT_PATH env vars before invoking this SKILL. Your first orchestration action MUST be the Bash tool (the Model precheck above runs first), running exactly:

python3 "${CLAUDE_PLUGIN_ROOT}/tools/saga_driver.py" \
  --layer 04_BDD \
  --threshold 90

Use a generous timeout (≥1800s). Do not pre-analyze the input. Do not read the upstream. Do not classify type/scope. The driver and its dispatched subprocesses (/aidoc-flow:doc-bdd for draft, /aidoc-flow:doc-bdd-audit for review, /aidoc-flow:doc-bdd-fixer for fixer) handle all of that. The driver enforces the state machine preemptively per ${CLAUDE_PLUGIN_ROOT}/framework/governance/REVIEW_SAGA.md; this SKILL's job is to invoke it and report.

Step 2 — After the driver returns, report. Read .aidoc/review/04_BDD/${ARTIFACT_ID}/saga.json. Final status MUST be one of CLOSED (PASS), ESCALATED (terminal FAIL), or PARTIAL_TIMEOUT (soft-deadline; resumable). Print the status, the final score from verdict.json if present, and a 1-line summary.

Step 3 — Index update (only on CLOSED). Add a row to docs/04_BDD/BDD-00_index.md referencing the new BDD; update the upstream artifact's downstream entry.

That is the entire workflow in team mode. If you find yourself doing anything else here — drafting prose, dispatching Task subagents, invoking other slash commands — STOP, recognize that you are bypassing the driver, and invoke the Bash command above instead.

Linear Pipeline (review_mode: single_pass)

Unchanged legacy behaviour — used when the profile says so, when Task subagent dispatch is unavailable, or at write-time (on_author) where cost is the primary concern. The 5-step in-session pattern below produces the BDD without saga.json; the harness's saga-journal check will then fail the layer, so this mode is only appropriate for manual dry-runs.

  1. Input analysis — classify the input (EARS / prompt / IPLAN), locate the upstream EARS and its BRD/PRD trace elements, and decide generate vs review-and-fix.
  2. Type & scope — confirm the referenced EARS (and its PRD/BRD elements) exist; map EARS statements to scenario categories; reserve the next BDD-NN.
  3. Generation — produce the BDD per ../doc-bdd/SKILL.md: Document Control first, all 5 sections, scenarios across the five categories with executable Given-When-Then steps, cumulative tags @brd @prd @ears (Gherkin-native), @scenario-id IDs BDD.NN.03.xxxx, @threshold: references, and a spec_trace per scenario. Sequence diagrams via ../charts-flow/SKILL.md.
  4. Validation — run ../doc-bdd-audit/SKILL.md from scratch.
  5. Audit ↔ fix cycle — while score < threshold and iterations < max: run ../doc-bdd-fixer/SKILL.md, then re-audit. On pass, update docs/04_BDD/BDD-00_index.md; on exhausting iterations, flag for manual review.

Execution Modes

  • Single — one BDD (generate or review-and-fix).
  • Batch — multiple BDDs, processed in chunks of 3 to bound context; generate in upstream EARS order.
  • Dry-run — report the planned actions (scenarios, categories, IDs) without writing files.

Quality Gates

  • Generation does not complete until the audit passes (ADR-Ready ≥ threshold, 0 Tier-1 errors) or the iteration cap is hit (then: manual-review flag).
  • The BDD index is updated only after a BDD passes.
  • Fresh audit every cycle — no cached scores.

Error Handling

| Situation | Action | |-----------|--------| | Referenced upstream EARS/PRD/BRD missing | stop; report the missing dependency | | Max iterations reached below threshold | write reports, flag for manual review, continue batch | | Source input ambiguous | fall back to prompt mode; record assumptions in the BDD | | Write/permission error | log, skip the item, continue the batch |

Adaptation

Before applying defaults, read the project adaptation profile (.aidoc/profile.yaml) and apply it in both the generation and the internal audit/fix phases. Honor section_toggles, active_layers, audit_threshold (raise-only — stricter only), and glossary. Ignore any unknown or out-of-surface key; absent a profile, use framework defaults. Authority: ${CLAUDE_PLUGIN_ROOT}/framework/governance/ADAPTATION.md.

Related Resources

  • Create: ../doc-bdd/SKILL.md · Audit: ../doc-bdd-audit/SKILL.md · Fix: ../doc-bdd-fixer/SKILL.md
  • Authority: ${CLAUDE_PLUGIN_ROOT}/framework/layers/04_BDD/BDD-TEMPLATE.yaml, ${CLAUDE_PLUGIN_ROOT}/framework/layers/04_BDD/README.md, ${CLAUDE_PLUGIN_ROOT}/framework/layers/04_BDD/BDD-00_index.TEMPLATE.md