run-orchestrator

AI-consumed reference. Optimized for Claude to read during execution. Human-readable explanation: see docs/architecture/HIERARCHICAL_PLANNING.md or docs/getting-started/ depending on topic.

Run Orchestrator

For complex features / multi-file changes requiring TDD. NOT for: bug fixes (use the bugfix-quick skill via the Skill tool — it is NOT an agent), quick edits (direct).

Step 0 — Escalation Check (precondition, v3.7.2+)

Before creating run-state.json, screen the task description for project-level scope via the bridge heuristic in rules/workflow/run-plan-bridge.md. The 8-trigger rubric (multi_feature, multi_week, shipping_scope, scale_words, cross_session, user_explicit, word_count, scope_verbs) sums to a weight; if weight ≥ 3 AND no plan tree exists (.claude/plans/active.json missing), emit this 3-option prompt:

Your task scores ≥3 on the escalation heuristic — multi-feature / multi-session scope.
Options:
  plan    — bootstrap /aura-frog:plan first (writes pending-plan-bootstrap.json)
  deep    — proceed with normal Deep flow (escalation_declined: true recorded)
  details — show breakdown of which signals fired, re-ask

Honour the answer:

• plan → write .claude/cache/pending-plan-bootstrap.json (schema below) and invoke /aura-frog:plan. Do NOT proceed to Step 0b until the plan returns.
• deep (or legacy alias proceed) → set escalation_declined: true in the run-state when it's created. Continue.
• details → render which signals fired with weights, then re-ask.

Skip the prompt when:

• .claude/plans/active.json exists → fall through to Step 1 (plan_anchored / plan_idle states from run-plan-bridge.md apply).
• AF_ESCALATION_DISABLED=true env var is set.
• Task description has an override prefix: task: (force task mode, skip ask) or project: (force project mode, skip ask + write scratch file).
• Force prefixes must do: / just do: / exactly: are present (these bypass the entire bridge per the bridge rule).

pending-plan-bootstrap.json schema

{
  "schema_version": 1,
  "from_run_id": "auth-260511",
  "mission_seed": "<verbatim user task description>",
  "feature_seeds": ["auth", "billing", "dashboard"],
  "created_at": "2026-05-11T16:00:00Z",
  "trigger_weight": 5,
  "signals_fired": ["multi_feature", "shipping_scope", "scope_verbs"]
}

feature_seeds are extracted as comma-or-plus-separated noun phrases from the task; the plan command interview-confirms before minting Feature nodes. The file is deleted by commands/plan.md after consumption.

Step 0b — Create the Run State (MANDATORY, BEFORE ANY OTHER WORK)

The moment you decide a /run invocation will use this orchestrator, write the initial state file. Do NOT proceed without it. Without the file, /run status, /run resume, and /run handoff cannot work — they all read from this file.

# Generate run-id: ticket prefix (JIRA-123) or short-name + YYMMDD (auth-260424)
RUN_ID="<derived from task or ticket>"
mkdir -p ".claude/logs/runs/${RUN_ID}"

Then write .claude/logs/runs/${RUN_ID}/run-state.json with this skeleton:

{
  "run_id": "<RUN_ID>",
  "task": "<verbatim user task>",
  "status": "in_progress",
  "complexity": "<Quick|Standard|Deep|Project — from agent-detector>",
  "flow": "<direct|bugfix|refactor|test|feature-standard|feature-deep|security|review|deploy|quality>",
  "started_at": "<ISO 8601 UTC>",
  "current_phase": 1,
  "current_step": "<bugfix steps: investigate|test-red|fix-green|verify · otherwise omit>",
  "active_agent": "<lead|architect|frontend|… — read by scripts/statusline.sh>",
  "phases": {},
  "agents": [],
  "deliverables": [],
  "observations": [],
  "approvals": [],
  "tokens_used": 0
}

Keep current_phase / current_step / active_agent in sync with reality — scripts/statusline.sh reads them on every prompt to render the status bar. Stale values mean the user sees "P1 / lead" while you're actually executing P3 work via architect.

Announce to user transparently:

"Detected: <complexity> complexity → <flow> flow. State file: .claude/logs/runs/${RUN_ID}/run-state.json. Say deep to escalate, quick to downgrade, or proceed."

For Deep runs, follow with the per-phase team announcement (see §5-Phase Workflow below): builder / reviewers / gate / dispatching-now. For Standard/Quick, one line: 🛠 Dispatching <agent> (<mode> / single-agent inline).

This step is non-negotiable. If you skip it, /run status will show nothing and the user loses observability.

Step 0c — Feature linking (v3.7.3+)

After writing run-state.json, register the run against its feature if anchored:

Path A — /run feature: FEAT-X <task> prefix:

bash "${CLAUDE_PLUGIN_ROOT}/scripts/plans/link-run.sh" link "${RUN_ID}" "<FEATURE_ID>" --status in_progress
# If a specific task is anchored, add: --anchor TASK-NNNNN

This writes both sides of the run ↔ feature link:

1. run-state.json gets feature_id, feature_slug, feature_linked_at (and anchor.task_id if --anchor passed)
2. The feature's feature.md gets a row in its ## Runs table (creates the section if absent)

Path B — Existing active.json#active.task set:

The Run ↔ Plan bridge (Step 1) already anchors via active.task. After Step 1 confirms an anchor, also call link-run.sh so the feature.md side stays in sync.

Path C — /run resume <FEATURE_ID>:

bash "${CLAUDE_PLUGIN_ROOT}/scripts/plans/link-run.sh" list "<FEATURE_ID>"

Surface every row to the user; prompt to pick one (or auto-resume if only one is in_progress). Then /run resume <run-id> continues normally.

On Phase 5 (Finalize) — update the link:

bash "${CLAUDE_PLUGIN_ROOT}/scripts/plans/link-run.sh" link "${RUN_ID}" "${FEATURE_ID}" --status done

Same idempotent helper — overwrites the existing row with the new status. No duplicate entries.

---

Step 0.5 — Scaffold Phase-1 Deliverables (MANDATORY for Standard/Deep)

Run-state.json tracks metadata; the real deliverables are markdown files on disk. Before announcing Phase 1, scaffold the Phase-1 documents so the work has a place to land:

bash "${CLAUDE_PLUGIN_ROOT}/scripts/workflow/scaffold-phase-deliverables.sh" "${RUN_ID}" 1

This creates (idempotent — never overwrites):

phase1_files[4]{filename,purpose}:
  REQUIREMENTS.md,User stories + acceptance criteria + scope
  TECH_SPEC.md,AI-readable TOON: architecture + files + APIs + risks
  TECH_SPEC_CONFLUENCE.md,Human-readable spec for Confluence / PRs
  DESIGN_DECISIONS.md,Low-level design choices + tradeoffs

On each phase transition, re-invoke the scaffold for the next phase:

bash "${CLAUDE_PLUGIN_ROOT}/scripts/workflow/scaffold-phase-deliverables.sh" "${RUN_ID}" <next_phase>

Phase mapping the scaffold creates:

scaffold_map[5]{phase,files}:
  1,"REQUIREMENTS · TECH_SPEC · TECH_SPEC_CONFLUENCE · DESIGN_DECISIONS"
  2,"TEST_PLAN · TEST_CASES"
  3,"IMPLEMENTATION_NOTES · FILES_CHANGED"
  4,"CODE_REVIEW · REFACTOR_LOG"
  5,"QA_REPORT · IMPLEMENTATION_SUMMARY · CHANGELOG_ENTRY"

Skip Step 0.5 only for Quick/direct-edit runs — those don't have phase deliverables. Bugfix/refactor/test/feature runs all use it.

Gate enforcement (per rules/workflow/workflow-deliverables.md): before showing a Phase N approval gate, verify the Phase N files exist AND have non-template content. Files that still match the template byte-for-byte mean the work wasn't done — block the gate and prompt the user to fill them in.

---

Pre-Execution (Phase 1 setup)

1. agent-detector → select lead, complexity, model

2. Apply context-economy — locate before Read, use Glob/Grep first, slice large files with offset+limit, delegate broad exploration to Explore subagent. See rules/core/context-economy.md. If you hit overloaded_error, do NOT retry with the same context — distill, then resume.

3. Validate prompt (6-dim benchmark) — score per rules/core/prompt-validation.md. If below threshold, ask focused questions before proceeding (see rules/core/no-assumption.md)

4. Check for JIRA ticket context — if the user prompt or RUN_ID matches [A-Za-z]{2,10}-[0-9]{1,6}, the jira-auto-fetch.cjs hook fires on UserPromptSubmit and writes .claude/logs/jira/{TICKET_ID}.json (TICKET_ID is always UPPERCASE — the hook normalises). Read it as the canonical requirements source (description + comments). Reference the ticket key in run-state under context.jira_ticket.

   There is no CLI script and no Atlassian MCP — the hook IS the integration. Do not search scripts/, .claude/scripts/, or .mcp.json for a Jira fetcher; you will not find one. Source of truth: aura-frog/hooks/jira-auto-fetch.cjs. The standalone scripts/jira-fetch.sh was removed in v3.7.0 post-release polish.

   If .claude/logs/jira/{TICKET_ID_UPPER}.json is missing despite the user mentioning a ticket, the hook silently skipped for one of three reasons — surface this to the user and ask how to proceed:

   • Env not set: missing JIRA_BASE_URL / JIRA_EMAIL / JIRA_API_TOKEN in .envrc (plus af envrc allow if the trust gate is enabled). Tell the user to set them, then re-prompt.
   • JIRA_PROJECT_PREFIXES filtered it out: the env allowlist excluded this project prefix.
   • JIRA API failed: aura-frog/hooks/jira-auto-fetch.cjs writes [jira-auto-fetch] WARN: fetch failed for <id> to stderr; check there.

   When env is unavailable in this environment (e.g. no .envrc access), continue the run by asking the user to paste the task description inline — do not invent a fallback fetch path.

5. Run ↔ Plan bridge — apply rules/workflow/run-plan-bridge.md:

   • If .claude/plans/active.json#active.task is set → auto-anchor run-state to that T4; Sprint Contract seeds from the task's acceptance criteria; Phase 5 syncs status back to the plan tree.
   • If active.feature is set but active.task is null → suggest /aura-frog:plan-next to claim a task first (user may reply proceed to run inline).
   • If no plan exists and the task description triggers ≥3 escalation weight (multi-feature, multi-week, shipping/rollout/epic keywords) → suggest /aura-frog:plan to bootstrap T0-T2 first. Honor proceed to run inline.
   • Disable with AF_RUN_PLAN_BRIDGE_DISABLED=true. Force-mode prefixes (must do:, just do:, exactly:) skip the bridge.

   ⚠️ Anchoring does NOT skip phases. The plan tree feeds Phase 1 (acceptance criteria → Sprint Contract; design notes → architecture inputs) — it does not replace Phase 1 or Phase 2. All 5 phases run per task even when anchored. A common failure mode is interpreting "the feature is already designed in the plan tree" as a license to skip straight to Phase 3 / Build GREEN. That is wrong. Phase 2 (Test RED) is mandatory — it converts the plan's acceptance criteria into executable failing tests before any code is written. Skipping Phase 2 because the plan exists is the bug we're trying to prevent. If you find yourself implementing without a failing test, stop and write the test first.

   Iterating a whole feature: a single /run cycles through Phase 1 → 5 for one task. To complete a multi-task feature, repeat /aura-frog:plan next (or just type next while a plan is active) to claim the next ready task, then re-enter /run which auto-anchors. Each task gets its own full 5-phase cycle. This is the contract — not "one /run per feature".

6. Load project context

7. Verify complexity — suggest lighter approach if simple

8. Socratic brainstorming (Standard/Deep only)

9. Challenge requirements (rules/workflow/requirement-challenger.md)

10. Sprint Contract — negotiate "done" criteria before Phase 2 (anchor-aware: cannot weaken plan acceptance without manual_override.json audit entry)

5-Phase Workflow

phases[5]{phase,name,builder,reviewer,gate}:
  1,"Understand + Design",architect,"tester+security+strategist",APPROVAL
  2,"Test RED",tester,"architect (feasibility)",Auto
  3,"Build GREEN","architect/frontend/mobile","tester+security",APPROVAL
  4,"Refactor + Review","P3 builder refactors","security+tester (NOT P3 builder)",Auto
  5,"Finalize",lead,—,Auto

Builder != Reviewer. Details: rules/workflow/cross-review-workflow.md

Mandatory transparency — announce who's doing what (v3.7.4+)

At every phase transition AND every agent dispatch, surface the team to the user in the response message. Format:

─── Phase {N} · {Name} ────────────────────────────────────
  Builder:   {agent-id}              (writes the deliverable)
  Reviewers: {agent-id}, {agent-id}  (verify after; never the same as Builder)
  Model/Effort: {model} · {effort}   (from the agent frontmatter / call override)
  Gate:      APPROVAL | Auto
  Dispatching: {agent-id} now…

Also update run-state.json#active_agent, #active_agent_model, and #active_agent_effort to the currently-dispatching agent so the statusline (scripts/statusline.sh, which renders ▶ agent │ Model · effort ⏱dur) reflects it. Read the per-phase assignment from the phases[5] table above. Per-task agent selection within a phase (e.g. P3 picking frontend vs mobile vs architect) goes through agent-detector — surface the selection result with one line:

  agent-detector → frontend (score 115, primary)
                    reasons: form +35, login +30, UI intent +50

This is non-negotiable for Deep runs. Skipping it means the user can't tell which agent wrote which artifact when reviewing the deliverable at gate time.

For Standard/Quick runs (single agent inline), one-line announcement at start suffices:

🛠 Dispatching frontend (Standard / single-agent inline).

Phase 2 — Test type selection (v3.7.4+, fixes silent unit-only default)

tester in Phase 2 MUST pick the right test layer BEFORE writing tests. The pre-v3.7.4 default was implicitly "unit tests only" because the run-orchestrator didn't say otherwise — even for UI/auth/payment tasks where an e2e spec is the meaningful safety net. Fixed by following skills/test-writer/SKILL.md#test-type-selection:

phase2_layers[3]{layer,framework_default,when_to_write}:
  unit,jest/vitest,"every Phase 2 — fast feedback on isolated logic"
  integration,jest/vitest with real DB,"task spans 2+ modules or hits a DB query path"
  e2e,playwright (preferred) | cypress | detox,"task contains UI / auth / payment / 'flow' / 'journey' / 'end-to-end' OR Phase-1 acceptance references user-visible behavior"

tester MUST surface the layer choice to the user before writing the first test:

🧪 Phase 2 plan: unit (vitest) + e2e (playwright)
   - Unit: 4 specs for password validator + token signer
   - E2E:  1 happy-path spec (login → dashboard) + 1 failure-path (bad password)
   - No integration layer (auth doesn't cross a DB module in this PR)

If the project has no e2e runner configured but the task warrants one, the orchestrator asks the user to pick: install Playwright, use an existing runner, or explicitly accept unit-only with a recorded escalation_declined: e2e note in run-state.json.

Verification (also v3.7.4+): After npx playwright test (or equivalent), read the runner output. "Tests passed" with no pass count = 0 tests collected = bug. Same discipline applies to all runners.

Execution Model — Subagent Isolation (Deep tasks)

Context pollution is the #1 failure mode for multi-phase TDD: P1 research artifacts still live in the window when P3 tries to build, so the model gets distracted by outdated design notes.

For Deep complexity runs, each phase spawns a fresh subagent via the Agent tool. The orchestrator (main thread) stays lean — it dispatches, verifies deliverables, and holds approval gates. It does NOT do the phase work itself.

Critical: plugin agents are namespaced — by the plugin's runtime name, not a hardcoded string. When you invoke the Agent tool, subagent_type is ${PLUGIN_PREFIX}:<id> where PLUGIN_PREFIX comes from plugin.json#name (or run bash scripts/get-plugin-prefix.sh). Bare architect is NOT valid — the tool errors with agent type 'architect' not found. Built-in Claude Code agents (general-purpose, Explore, Plan, statusline-setup) stay unprefixed. See rules/core/agent-namespacing.md for full details.

The dispatch table below uses bare agent IDs. Apply the runtime prefix at the moment you call the Agent tool — don't bake the literal "aura-frog" into your call.

execution[5]{phase,agent_id,main_thread_role}:
  1,architect,"dispatch + hold gate"
  2,tester,"verify tests fail as expected"
  3,"architect or frontend or mobile (per artifact)","dispatch + hold gate"
  4,"security (primary) + tester","verify builder≠reviewer"
  5,inline (lead),"finalize — no fork needed"

When you call Agent: read the prefix once per session (cheapest: from the session-start banner emitted by hooks/session-start.cjs), then compose subagent_type: ${prefix}:${agent_id}.

Each subagent returns a concise report. Main thread does NOT re-read phase research files. For Standard/Quick runs, inline execution is fine — the isolation cost only pays off when phases would otherwise compete for the same context budget.

Phase Transitions

• P1→P2: Approval required. Blocker: no design approved.
• P2→P3: Auto if tests fail as expected. Blocker: tests pass.
• P3→P4: Approval required. Blocker: tests still failing.
• P4→P5: Auto if tests pass + no critical issues.
• P5→Done: Auto. Blocker: coverage <80%.

Approval Gates (Phase 1 & 3 only)

Show deliverables → user types approve / reject <reason> / modify <changes> (context-aware, no prefix needed). Force skip brainstorming with "must do:" / "just do:".

Auto-Stop Triggers

P2: tests pass when should fail. P4: tests fail after refactor. P5: coverage <80%. Any: token limit 75%→warn, 85%→handoff, 90%→force.

State

Run state: .claude/logs/runs/{run-id}/run-state.json. Load phase guide on-demand: docs/phases/PHASE_[N]_*.MD.

Fast-Track

/run fasttrack: <specs> — skips P1, auto-executes P2-P5 without gates. Requires: Overview, Requirements, Technical Design, API, Data Model, Acceptance Criteria.

---

Reasoning Techniques (opt-in via reason: prefix)

Advanced reasoning techniques for high-stakes or branching decisions. Auto-enabled only when complexity = Deep AND the task matches the trigger (see each rule). Otherwise opt-in.

Prefix	Fires	Where	Cost
/run reason: sc <task>	Self-Consistency (3 paths vote)	Phase 1 design	~3× base
/run reason: tot <task>	Tree of Thoughts (branch/prune)	Phase 1 + Phase 4	~3–4× base
/run reason: cove <task>	Chain-of-Verification	Phase 4 claims	~2–3× base
/run reason: all <task>	All three, auto-routed per phase	As above	~5–7× base

Phase 4 always runs CoVe on factual claims ("tests pass", "coverage X%", "0 critical findings") — this is non-negotiable per rules/workflow/chain-of-verification.md.

Full rules:

• rules/workflow/self-consistency.md
• rules/workflow/tree-of-thoughts.md
• rules/workflow/chain-of-verification.md

Skills (playbooks):

• skills/self-consistency/SKILL.md
• skills/tree-of-thoughts/SKILL.md
• skills/chain-of-verification/SKILL.md

---

Related Rules (load per phase as needed)

Core (applies every phase):

• rules/core/tdd-workflow.md — RED → GREEN → REFACTOR discipline
• rules/core/approval-gates.md — Human-in-the-loop enforcement
• rules/core/execution-rules.md — ALWAYS/NEVER orchestration rules
• rules/core/verification.md — Verify before claiming done

Phase 1 (Understand + Design):

• rules/workflow/requirement-challenger.md — Challenge assumptions
• rules/workflow/collaborative-planning.md — Deep-task 3-perspective deliberation
• rules/workflow/impact-analysis.md — Impact/effort matrix
• rules/workflow/estimation.md — Scope estimation
• rules/workflow/priority-hierarchy.md — Prioritization
• rules/workflow/diagram-requirements.md — Mermaid diagrams for complex phases

Phase 3 (Build GREEN):

• rules/workflow/project-linting-precedence.md — Project config wins
• rules/workflow/post-implementation-linting.md — Lint after each file
• rules/workflow/smart-commenting.md — WHY not WHAT

Phase 4 (Refactor + Review):

• rules/workflow/cross-review-workflow.md — Builder ≠ Reviewer
• rules/workflow/post-implementation-linting.md — Final lint gate

Phase 5 (Finalize):

• rules/workflow/git-workflow.md — Commit + push discipline

Cross-phase:

• rules/workflow/workflow-deliverables.md — What each phase must produce
• rules/workflow/workflow-navigation.md — Phase transition rules
• rules/workflow/next-step-guidance.md — What to show at gates
• rules/workflow/token-time-awareness.md — Budget tracking
• rules/workflow/feedback-brainstorming.md — On reject/modify
• rules/workflow/mcp-response-logging.md — Log large MCP responses
• rules/workflow/immutable-workflow.md — Approved phases are append-only
• rules/workflow/dual-llm-review.md — Second LLM review for destructive ops / security-critical writes