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doc-bdd-autopilot

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.

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Imported from vladm3105/aidoc-flow-framework (platforms/claude-code-plugin/skills/doc-bdd-autopilot/SKILL.md). Install upstream with npx skills add vladm3105/aidoc-flow-framework --skill doc-bdd-autopilot. Copyright stays with the author.

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 '<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 \
  --allow-skip-permissions

--allow-skip-permissions lets the phases the driver dispatches write files without a permission prompt — unattended autopilot requires it. Drop the flag to run the same loop with Claude Code's normal prompts on.

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

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml
targets:
  - https://api.opensmartroute.ai/api/v1/registry/vladm3105-aidoc-flow-framework-doc-bdd-autopilot/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

vladm3105-aidoc-flow-framework-doc-bdd-autopilot.ocm.jsonjson
{
  "ocm": "1",
  "id": "vladm3105-aidoc-flow-framework-doc-bdd-autopilot",
  "kind": "skill",
  "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.",
  "publisher": "vladm3105",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "general"
    ],
    "tags": [
      "skill-md",
      "sdd-workflow",
      "layer-4-artifact",
      "automation-workflow",
      "skills-sh"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "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."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/vladm3105/aidoc-flow-framework",
      "path": "platforms/claude-code-plugin/skills/doc-bdd-autopilot/SKILL.md",
      "ref": "HEAD",
      "url": "https://github.com/vladm3105/aidoc-flow-framework/blob/HEAD/platforms/claude-code-plugin/skills/doc-bdd-autopilot/SKILL.md",
      "key": "vladm3105/aidoc-flow-framework/platforms/claude-code-plugin/skills/doc-bdd-autopilot/SKILL.md"
    }
  },
  "instructions": "# doc-bdd-autopilot\n\n## Purpose\n\nAutomated **BDD generation pipeline**. From upstream EARS (`docs/03_EARS/`), a\nuser prompt, or an implementation plan (`IPLAN-*`), it analyzes the source,\ngenerates a complete BDD suite of Given-When-Then scenarios, validates\nreadiness, maintains `BDD-00_index.md`, and drives the audit↔fix cycle to a\npassing ADR-Ready score — for one BDD or a batch.\n\n**Layer**: 4. **Upstream**: EARS (with BRD/PRD trace) / prompt / IPLAN input.\n**Downstream**: a validated BDD + index entry.\n\n## Skill Dependencies\n\n| Skill | Role |\n|-------|------|\n| `../doc-bdd/SKILL.md` | BDD s",
  "cost": {
    "context_tokens": 1860
  }
}

Fetch it by URL: GET /api/v1/registry/vladm3105-aidoc-flow-framework-doc-bdd-autopilot/manifest?version=1.0.0

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