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discover-acs

Productivity
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Use when a Ready feature needs its acceptance criteria discovered before specs are written. Triggers — "/engineer.discover-acs", "/engineer.acceptance-criteria", "discover ACs", "what must this feature do", "figure out acceptance criteria".

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Source SKILL.md: https://github.com/swingerman/disciplined-agentic-engineering/blob/HEAD/engineer/skills/discover-acs/SKILL.md

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discover-acs

Discover a feature's acceptance criteria — Checkpoint 2. ACs are decisions about what behaviors must work, in domain language. They precede the Given/When/Then formalization that atdd:atdd produces.

Separating AC discovery (divergent decisions) from spec formalization (convergent encoding) is what protects domain language from leaking into implementation language.

When to use

On a feature with autonomy_level set and status of ready (greenfield) or in-progress/done (onboarded existing work). Produces acs.md.

Two modes:

  • Greenfield — status: ready, no existing spec. Discover ACs from scratch via the four-pass interview.
  • Reverse-engineer — onboarded feature (in-progress/done) that already has a spec (a Speckit spec.md, a design doc, shipped code). Extract candidate ACs from the existing material, then interview only for the gaps it leaves.

Not for: a parked feature (discuss to promote first); a feature that already has a complete acs.md (feature-edit); producing Given/When/Then specs (atdd:atdd); deciding whether to build the feature (discuss).

Workflow

Step 0 — Entry gate. Before starting, verify the prior checkpoint is complete: run ${CLAUDE_PLUGIN_ROOT}/scripts/dae_handoff.py <feature-dir> --through 1.5. On a non-zero exit, stop and surface the gap to the human — do not proceed.

Verify branch hygiene: run ${CLAUDE_PLUGIN_ROOT}/scripts/dae_branch.py <feature-dir>. On a non-zero exit, stop and surface the message to the human — switch branches and re-invoke. The check honors the git.manual: true manifest opt-out.

After the gate passes, show the pipeline breadcrumb: run ${CLAUDE_PLUGIN_ROOT}/scripts/dae_progress.py <feature-dir> and present its output to the human — it shows where this checkpoint sits in the DAE pipeline. The breadcrumb is advisory: a non-zero exit or a missing progress.md never blocks the skill. Then create one TodoWrite todo per workflow step below. See ${CLAUDE_PLUGIN_ROOT}/references/progress-indicator.md.

  1. Resolve + validate — resolve the methodology root + manifest via ${CLAUDE_PLUGIN_ROOT}/scripts/dae_resolve.py (see references/resolving.md); locate the feature. Reject if not found, if status: parked (→ discuss to promote first), or if acs.md already exists with content. Pick the mode: existing spec/code present → reverse-engineer; else → greenfield.

  2. Load — feature.md, CHARTER.md, manifest.yml, prior handoffs/. Reverse-engineer mode: also load the existing spec / design doc / relevant code. For code lookup in reverse-engineer mode (surveying what exists, tracing what calls what), prefer LSP workspace-symbols / find-references when an LSP MCP capability is available; fall back to grep + Read otherwise. See ${CLAUDE_PLUGIN_ROOT}/references/code-lookup.md.

  3. Discover the ACs:

    • Greenfield — interview in four passes, one question per turn, coverage prompts per pass.
    • Reverse-engineer — extract candidate ACs from the existing material, organized by the four passes; then interview only for genuine gaps the material leaves undecided. Gap questions may be batched (e.g. one AskUserQuestion with up to 4) rather than one-per-turn — the existing material already carries the bulk.

    The four passes:

    • Happy path — the core journey, every behavior when all goes right
    • Edge cases — empty / extreme / boundary / concurrency / partial state
    • Errors & security — missing/malformed input, authorization, external failure, abuse
    • Cross-cutting — audit, observability, idempotency, data lifecycle, performance

    3b. Domain coverage checklists (MANDATORY pass). After the four interview passes, scan feature.md's outcome and scope for surface signals and consult any matching checklist in ${CLAUDE_PLUGIN_ROOT}/references/ac-coverage/:

    Signal phrase / keywordChecklist file
    public web page, site, marketing, HTML outputweb-seo.md
    login, OAuth, auth, session, token, SSOauth-oauth.md
    deploy, staging, production, infra, hosting, CI/CDdeploy-model.md
    UI component / page targeting humansaccessibility.md (when written)
    schema change, data backfill, migration, rename columndata-migration.md (when written)

    For each matched checklist: present its items as a single batched AskUserQuestion (multi-select) with the file's content as the option list. The human ticks "yes, this matters" / "no, out of scope" per item. Each ticked item becomes an AC candidate in Step 6/7. The checklists do not auto-create ACs without confirmation. image-titler shipped without a default og:image AC because nothing prompted the question — these checklists fix that class of gap.

  4. Enforce domain language — when implementation leaks in ("returns 401", "the endpoint", table/class names), soft-warn and rephrase to the user-observable behavior; user confirms. Don't block — educate.

  5. Handle scope drift — if a behavior surfaces outside feature.md's outcome, offer three options: broaden feature.md, drop as out-of-scope, or park a separate discuss. User picks.

  6. Coverage check — before writing, report ACs captured + which passes were covered; if a pass was skipped, prompt once.

  7. Write acs.md — YAML frontmatter (ac_count, high_priority_count, discovered) + numbered ## AC-N: <name> sections, each with Priority, Type, and a domain-language body.

  8. Handoff — emit a summary.

Re-invoking on a feature with existing acs.md is an edit pass (preserve AC IDs). Big restructures → feature-edit.

In reverse-engineer mode, note in the handoff that acs.md and the original spec should later be reconciled — a good consistency-check target.

Handoff

Emit per ${CLAUDE_PLUGIN_ROOT}/references/handoff-summary.md. checkpoint: 2; human_action_needed: yes (review); recommended_next: "/engineer.atdd to formalize as Given/When/Then specs" (greenfield), or "/engineer.consistency-check to reconcile acs.md against the existing spec" (reverse-engineer).

The handoff MUST include the exit_criteria block asserting each of Checkpoint 2's exit criteria (Foundation Design Section 8) with verified_by, met, and evidence. For verified_by: tool criteria, the evidence MUST be the tool's actual output. The checkpoint is marked done only when every criterion is met.

ACs ship with human_action_needed: yes (the human owns the AC contract) — so this checkpoint is one of the explicit stop points per ${CLAUDE_PLUGIN_ROOT}/references/handoff-dispatch.md. Present the ACs for review; do not auto-dispatch CP3 atdd until the human has approved them.

References

  • ${CLAUDE_PLUGIN_ROOT}/references/handoff-dispatch.md — when to dispatch vs stop
  • ${CLAUDE_PLUGIN_ROOT}/references/ac-coverage/README.md — index of domain-aware coverage checklists
  • Foundation Design — feature.md schema
  • The DAE methodology page — why ACs and specs are separate