--- name: doc-bdd-autopilot description: Generate BDD scenarios end-to-end from EARS, a prompt, or an IPLAN - detect input, generate YAML scenarios, validate, and run the audit/fix cycle. Use to create or batch-create BDD suites. metadata: tags: - sdd-workflow - layer-4-artifact - automation-workflow custom_fields: layer: 4 artifact_type: BDD skill_category: automation-workflow upstream_artifacts: [BRD, PRD, EARS] downstream_artifacts: [ADR, SPEC, TDD, IPLAN] version: "0.24.0" framework_spec_version: "0.40.0" last_updated: "2026-05-23" adapts: [section_toggles, active_layers, audit_threshold, glossary, review_mode] --- # 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, YAML scenario schema, 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 ''. If you're not on it, run /model (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 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: ```sh python3 "${CLAUDE_PLUGIN_ROOT}/tools/saga_driver.py" \ --layer 04_BDD ``` Use a generous timeout (≥1800s). Do not pre-analyze the input. Do not read the upstream. Do not classify type/scope. The driver and its dispatched subprocesses (`/aidoc-flow:doc-bdd` for draft, `/aidoc-flow:doc-bdd-audit` for review, `/aidoc-flow:doc-bdd-fixer` for fixer) handle all of that. The driver enforces the state machine preemptively per `${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, a `feature:` block, and a `scenarios:` YAML list across the five categories — each scenario a mapping with `given`/`when`/`then` phase lists, an element-level `ears:` list, `id` `BDD.NN.03.xxxx`, `type`/`priority`, inline `@threshold:` references, and a `spec_trace`. 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`