Imported from vladm3105/aidoc-flow-framework (
platforms/claude-code-plugin/skills/doc-ears-autopilot/SKILL.md). Install upstream withnpx skills add vladm3105/aidoc-flow-framework --skill doc-ears-autopilot. Copyright stays with the author.
doc-ears-autopilot
Purpose
Automated EARS generation pipeline. From an upstream PRD, a user prompt, or
an implementation plan (IPLAN-*), it analyzes the source, verifies upstream
readiness, generates a complete EARS document of atomic WHEN-THE-SHALL-WITHIN
statements, validates readiness, maintains EARS-00_index.md, and drives the
audit↔fix cycle to a passing score — for one EARS or a batch.
Layer: 3. Upstream: a PRD (and its BRD), a prompt, or an IPLAN. Downstream: a validated EARS + index entry.
Skill Dependencies
| Skill | Role |
|---|---|
../doc-ears/SKILL.md |
EARS structure, the four patterns, syntax rules |
../doc-ears-audit/SKILL.md |
quality gate (scoring + findings) |
../doc-ears-fixer/SKILL.md |
applies fixes from the audit report |
../doc-naming/SKILL.md |
element-ID standards and @threshold: tags |
Input Contract
Accepts: a target EARS id/path; an upstream PRD 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 EARS already exists (nested folder
docs/03_EARS/EARS-NN_{slug}/):
- Missing → generate mode (from the upstream PRD / prompt / IPLAN).
- Exists → review & fix mode (audit, then fix if below threshold).
Determine deliverable_type (code/document/ux/risk/process,
inherited from the upstream PRD) from the source content.
Model precheck
Advisory, best-effort. Surfaces the model you recommended for this layer; it cannot switch the session model. Before invoking the driver:
- If
.claude/aidoc-flow.config.yamlis absent, or has nomodel.*keys, skip this section entirely (no output). - Resolve the recommended model:
model.per_layer.EARSif set, elsemodel.default. - Act on
model.precheck(warn|silent|block):warn(default) — print one line, then continue to the driver:ℹ EARS 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 plusprecheck=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 03_EARS \
--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-ears for draft,
/aidoc-flow:doc-ears-audit for review, /aidoc-flow:doc-ears-fixer
for fixer) handle all of that. The driver enforces the state machine
preemptively per
${CLAUDE_PLUGIN_ROOT}/framework/governance/REVIEW_SAGA.md; this
SKILL's job is to invoke it and report.
Step 2 — After the driver returns, report. Read
.aidoc/review/03_EARS/${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/03_EARS/EARS-00_index.md referencing the new EARS; 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 EARS without saga.json; the harness's saga-journal
check will then fail the layer, so this mode is only appropriate for
manual dry-runs.
- Input analysis — classify the input (PRD / prompt / IPLAN), locate the upstream PRD and its BRD, and decide generate vs review-and-fix.
- Readiness check — confirm the upstream PRD exists and is EARS-Ready
(score ≥ threshold); reserve the next
EARS-NN. Categorize PRD requirements into the four EARS patterns (Event, State, Unwanted, Ubiquitous). - Generation — produce the EARS per
../doc-ears/SKILL.md: Document Control first, all 5 sections, atomic WHEN-THE-SHALL-WITHIN statements, tabular Quality Attributes (percentile timing), element IDsEARS.NN.SS.xxxx, cumulative@brd/@prdtags,@threshold:references, state/sequence diagram tags via../charts-flow/SKILL.md. - Validation — run
../doc-ears-audit/SKILL.mdfrom scratch. - Audit ↔ fix cycle — while score < threshold and iterations < max: run
../doc-ears-fixer/SKILL.md, then re-audit. On pass, updatedocs/03_EARS/EARS-00_index.md; on exhausting iterations, flag for manual review.
Execution Modes
- Single — one EARS (generate or review-and-fix).
- Batch — multiple EARS, processed in chunks of 3 to bound context; generate each EARS only after its upstream PRD is confirmed ready.
- Dry-run — report the planned actions (patterns, sections, IDs) without writing files.
Quality Gates
- Generation does not complete until the audit passes (BDD-Ready ≥ threshold, 0 Tier-1 errors) or the iteration cap is hit (then: manual-review flag).
- The EARS index is updated only after an EARS passes.
- Fresh audit every cycle — no cached scores.
Error Handling
| Situation | Action |
|---|---|
| Upstream PRD missing or below EARS-Ready threshold | stop; report the missing/unready 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 EARS |
| Vague/compound statement cannot be auto-resolved | flag for manual review, continue batch |
| 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-ears/SKILL.md· Audit:../doc-ears-audit/SKILL.md· Fix:../doc-ears-fixer/SKILL.md - Authority:
${CLAUDE_PLUGIN_ROOT}/framework/layers/03_EARS/EARS-TEMPLATE.yaml,${CLAUDE_PLUGIN_ROOT}/framework/layers/03_EARS/README.md,${CLAUDE_PLUGIN_ROOT}/framework/layers/03_EARS/EARS-00_index.TEMPLATE.md