--- name: doc-adr-autopilot description: Generate ADRs end-to-end from an upstream artifact (BRD/PRD/EARS/BDD), a prompt, or an IPLAN - detect input, scope the decision, generate, validate, and run the audit/fix cycle. Use to create or batch-create ADRs. metadata: tags: - sdd-workflow - layer-5-artifact - automation-workflow custom_fields: layer: 5 artifact_type: ADR skill_category: automation-workflow upstream_artifacts: [BRD, PRD, EARS, BDD] downstream_artifacts: [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-adr-autopilot ## Purpose Automated **ADR generation pipeline**. From an upstream artifact (BRD §8 / PRD §14 / EARS / BDD), a user prompt, or an implementation plan (`IPLAN-*`), it analyzes the source, scopes the decision, generates a complete Context-Decision-Consequences record, validates readiness, maintains `ADR-00_index.md`, and drives the audit↔fix cycle to a passing score — for one ADR or a batch. **Layer**: 5. **Upstream**: BRD → PRD → EARS → BDD (or a prompt/IPLAN). **Downstream**: a validated ADR + index entry. ## Skill Dependencies | Skill | Role | |-------|------| | `../doc-adr/SKILL.md` | ADR structure and authoring rules (generation) | | `../doc-adr-audit/SKILL.md` | quality gate (scoring + findings) | | `../doc-adr-fixer/SKILL.md` | applies fixes from the audit report | | `../doc-naming/SKILL.md` | element-ID standards | | `../adr-roadmap/SKILL.md` | plans the set of ADRs a project needs | ## Input Contract Accepts: a target ADR id/path; an upstream id (`BRD-NN`/`PRD-NN`/`EARS-NN`/ `BDD-NN`) or topic element id; 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 ADR already exists (nested folder `docs/05_ADR/ADR-NN_{slug}/`): - **Missing** → *generate* mode (synthesize the decision from the upstream). - **Exists** → *review & fix* mode (audit, then fix if below threshold). Determine `deliverable_type` (`code`/`document`/`ux`/`risk`/`process`, inherited from upstream) and the originating topic (PRD §14, tracing back to BRD §8) from the source content. One ADR records **one** decision. ## 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.ADR` if set, else `model.default`. 3. Act on `model.precheck` (`warn` | `silent` | `block`): - `warn` (default) — print one line, then continue to the driver: `ℹ ADR 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 "${CLAUDE_PLUGIN_ROOT}/tools/saga_driver.py" \ --layer 05_ADR ``` Use a generous timeout (≥1800s). Do not pre-analyze the input. Do not read the upstream. Do not classify type/scope. The driver and its dispatched subprocesses (`/aidoc-flow:doc-adr` for draft, `/aidoc-flow:doc-adr-audit` for review, `/aidoc-flow:doc-adr-fixer` for fixer) handle all of that. The driver enforces the state machine preemptively per `${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/05_ADR/${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/05_ADR/ADR-00_index.md` referencing the new ADR; 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 ADR 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 (upstream id / prompt / IPLAN), locate the originating topic (PRD §14 → BRD §8), and decide generate vs review-and-fix. 2. **Decision scope** — confirm exactly one decision; reserve the next `ADR-NN`; verify the cited upstream artifacts exist. 3. **Generation** — produce the ADR per `../doc-adr/SKILL.md`: Document Control first (status `Proposed`/`Accepted`), §2–§10 + glossary + appendix, 2–3 alternatives with cost/fit, internal element IDs `ADR.NN.SS.xxxx`, cumulative tags `@brd @prd @ears @bdd`, the `@adr: ADR-NN` self-tag, architecture-flow diagram via `../charts-flow/SKILL.md`. 4. **Validation** — run `../doc-adr-audit/SKILL.md` from scratch. 5. **Audit ↔ fix cycle** — while score < threshold and iterations < max: run `../doc-adr-fixer/SKILL.md`, then re-audit. On pass, update `docs/05_ADR/ADR-00_index.md`; on exhausting iterations, flag for manual review. ## Execution Modes - **Single** — one ADR (generate or review-and-fix). - **Batch** — multiple ADRs, processed in **chunks of 3** to bound context; generate ADRs that others depend on (`@depends: ADR-NN`) first. - **Dry-run** — report the planned actions (decision scope, sections, IDs) without writing files. ## Quality Gates - Generation does not complete until the audit passes (SPEC-Ready ≥ threshold, 0 Tier-1 errors) or the iteration cap is hit (then: manual-review flag). - The ADR index is updated only after an ADR passes. - Fresh audit every cycle — no cached scores. ## Error Handling | Situation | Action | |-----------|--------| | Cited upstream artifact missing (BRD/PRD/EARS/BDD) | stop; report the missing dependency | | Source describes more than one decision | split into separate ADRs (one decision each) | | 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 ADR | | 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-adr/SKILL.md` · Audit: `../doc-adr-audit/SKILL.md` · Fix: `../doc-adr-fixer/SKILL.md` - Decision planning: `../adr-roadmap/SKILL.md` - Authority: `${CLAUDE_PLUGIN_ROOT}/framework/layers/05_ADR/ADR-TEMPLATE.yaml`, `${CLAUDE_PLUGIN_ROOT}/framework/layers/05_ADR/README.md`, `${CLAUDE_PLUGIN_ROOT}/framework/layers/05_ADR/ADR-00_index.TEMPLATE.md`