Agent Skills: Task Coordinator

Analyzes Story and builds optimal task plan (1-8 tasks), then routes to create or replan. Use when Story needs task breakdown or replanning.

UncategorizedID: levnikolaevich/claude-code-skills/ln-300-task-coordinator

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skills-catalog/ln-300-task-coordinator/SKILL.md

Skill Metadata

Name
ln-300-task-coordinator
Description
"Analyzes Story and builds optimal task plan (1-8 tasks), then routes to create or replan. Use when Story needs task breakdown or replanning."

Paths: File paths (shared/, references/, ../ln-*) are relative to skills repo root. If not found at CWD, locate this SKILL.md directory and go up one level for repo root.

Task Coordinator

Type: L2 Domain Coordinator Category: 3XX Planning

Runtime-backed task planning coordinator. The runtime owns readiness gating, pause/resume, and worker result tracking.

MANDATORY READ: Load shared/references/coordinator_runtime_contract.md, shared/references/task_planning_runtime_contract.md, shared/references/coordinator_summary_contract.md, and shared/references/task_plan_worker_runtime_contract.md MANDATORY READ: Load shared/references/environment_state_contract.md, shared/references/storage_mode_detection.md, shared/references/problem_solving.md, and shared/references/creation_quality_checklist.md MANDATORY READ: Load shared/references/mcp_tool_preferences.md, shared/references/mcp_integration_patterns.md, and shared/references/agent_delegation_pattern.md when Phase 3 external validation is triggered

Purpose

  • resolve Story context once
  • build an ideal implementation task plan before checking existing tasks
  • run a deterministic readiness gate
  • detect CREATE, ADD, or REPLAN
  • delegate to standalone workers

Inputs

| Parameter | Required | Description | |-----------|----------|-------------| | storyId | Yes | Story to plan | | autoApprove | No | If false, runtime may pause for readiness approval |

Runtime

Runtime family: task-planning-runtime

Identifier:

  • story-{storyId}

Phases:

  1. PHASE_0_CONFIG
  2. PHASE_1_DISCOVERY
  3. PHASE_2_DECOMPOSE
  4. PHASE_3_READINESS_GATE
  5. PHASE_4_MODE_DETECTION
  6. PHASE_5_DELEGATE
  7. PHASE_6_VERIFY
  8. PHASE_7_SELF_CHECK

Terminal phases:

  • DONE
  • PAUSED

Coordinator stage artifact:

  • write summary_kind=pipeline-stage after verification
  • ln-1000 consumes this artifact as the Stage 0 completion signal

Phase Map

Phase 1: Discovery

Resolve Story and collect only the inputs required for task planning:

  • Story AC
  • Technical Notes
  • Context
  • project architecture and tech stack
  • task provider

Do NOT load existing tasks here. Existing tasks load in Phase 4 only.

  • For Stories that modify existing code in supported languages, build graph context once:
    • index_project(path=project_root)
    • analyze_architecture(path=project_root, verbosity="minimal")
    • find_symbols + inspect_symbol for named components from Story AC or Technical Notes, but only after narrowing path where possible; if symbol discovery is truncated, refine to name + file or workspace_qualified_name before planning from it
  • Use graph context to confirm real affected modules and entrypoints before decomposition

Checkpoint payload:

  • discovery_ready

Phase 2: Decompose

Build the ideal task plan from ACs only. Do not read or reference existing tasks.

Order of operations:

  1. Build AC-to-Scenario traceability table with these columns: AC | Actor | (1) Trigger | (2) Entry Point | (3) Discovery | (4) Usage Context | (5) Outcome
  2. Scan Entry Point, Discovery, and Usage Context cells for buildable artifacts
  3. Group buildable artifacts by architectural layer using segment boundaries:
    • Foundation: the internal logic, data model, or service that does the work (what Entry Point calls into)
    • Invocation: the Entry Point itself — the named mechanism the actor uses
    • Knowledge: the Usage Context — what the actor needs to correctly invoke the mechanism
    • Wiring: Discovery + integration — how the system finds/loads the mechanism and connects components
  4. Each layer group becomes at least one task. A single task MUST NOT span more than one layer unless trivially small.
  5. When graph context exists, use it to:
    • split tasks by actual modules or symbol ownership, not guessed file groups
    • keep dependency order aligned with real callers, framework entrypoints, and public APIs
    • enrich Affected Components with real modules/symbols returned by graph analysis
  6. Verify foundation-first ordering and 1-8 task count
  7. Save the traceability table and layer grouping to .hex-skills/task-planning/{identifier}_traceability.md

Rules:

  • implementation tasks only
  • 1-8 tasks
  • no tests or refactoring tasks here
  • preserve foundation-first order
  • assign meaningful verification intent
  • infrastructure-only tasks do not satisfy ACs that require something to use that infrastructure
  • an invocation-layer task does not satisfy ACs that require the actor to know how to use that mechanism — that is a knowledge-layer artifact
  • see #17b, #17c, #17d in creation_quality_checklist.md

Checkpoint payload:

  • ideal_plan_summary
  • traceability_table_path

Phase 3: Readiness Gate

Score the plan before delegation.

Step 1: Self-score

Scoring policy:

  • 6-7 -> continue
  • 4-5 -> PAUSED for approval or improvement
  • <4 -> blocked until plan is corrected

Self-check: verify each layer (Foundation, Invocation, Knowledge, Wiring) has at least one task when the traceability table contains buildable artifacts in the corresponding segments.

Step 2: Conditional external traceability validation

Run this step only when at least one trigger is true:

  • readiness score is 4-5
  • mode looks ambiguous (ADD vs REPLAN)
  • AC-to-task coverage is incomplete
  • task boundaries or layer ownership still conflict after self-score

If triggered:

  1. Run agent health check: node shared/agents/agent_runner.mjs --health-check --json

  2. If agent available (prefer gemini-review, fallback codex-review): a. Build validation prompt from shared/agents/prompt_templates/traceability_validator.md b. Fill placeholders with Phase 1 discovery and Phase 2 output c. Save filled prompt to .hex-skills/task-planning/{identifier}_traceability_prompt.md d. Launch agent via agent_runner.mjs:

    node shared/agents/agent_runner.mjs \
      --agent {gemini-review|codex-review} \
      --prompt-file .hex-skills/task-planning/{identifier}_traceability_prompt.md \
      --output-file .hex-skills/task-planning/{identifier}_traceability_result.json \
      --cwd {project_dir}
    

    e. Parse result JSON for gaps f. For each MISSING gap: readiness_score -= 1 g. For each BUNDLED gap: readiness_score -= 0.5 h. If MISSING gaps found: re-enter Phase 2. Max 1 re-decomposition.

  3. If no agent available: log and keep the local score with degraded confidence.

If not triggered:

  • set traceability_validation = self_check_only
  • advance without external validation

Checkpoint payload:

  • readiness_score
  • readiness_findings
  • traceability_validation — one of: agent_validated, self_check_only, redecomposed

Phase 4: Mode Detection

Detect:

  • CREATE
  • ADD
  • REPLAN

Pause when mode is ambiguous.

Checkpoint payload:

  • mode_detection

Phase 5: Delegate

Single mutation handoff. Delegate to exactly one worker:

  • ln-301-task-creator
  • ln-302-task-replanner

Managed delegation sequence:

  1. Compute childRunId = {parent_run_id}--{worker}--{storyId}.
  2. Compute childSummaryArtifactPath = .hex-skills/runtime-artifacts/runs/{parent_run_id}/task-plan/{worker}--{storyId}.json.
  3. Materialize child manifest at .hex-skills/task-planning/{worker}--{storyId}_manifest.json.
  4. Start task-plan-worker-runtime with both --run-id and --summary-artifact-path.
  5. Checkpoint child_run metadata before invoking the worker.
  6. Invoke the worker through Skill tool with both transport inputs.
  7. Read only the final task-plan artifact and record it through runtime record-plan.

Coordinator context to pass to workers:

  • idealPlan: the full ideal plan from Phase 2
  • traceabilityTablePath: path to materialized traceability table
  • discoveryContext: Phase 1 findings
  • In ADD mode: specify which tasks to create

Phase 6: Verify

Verify the worker result and the resulting task set only. Do not reopen decomposition unless verification proves the worker output is invalid.

Template compliance gate: Fetch each created Task via get_issue. Run validateTemplateCompliance(description, 'task') from planning-runtime/lib/template-compliance.mjs. All tasks must pass (7 sections in order). Record template_compliance_passed in state. Guard blocks SELF_CHECK without it.

Checkpoint payload:

  • verification_summary
  • final_result
  • template_compliance_passed

After verification succeeds, write a Stage 0 coordinator artifact with:

  • stage=0
  • story_id
  • status=completed
  • final_result
  • story_status
  • readiness_score
  • warnings

Phase 7: Self-Check

Confirm:

  • phase coverage
  • readiness gate was respected
  • worker result was recorded
  • verification completed
  • Stage 0 coordinator artifact was recorded

Checkpoint payload:

  • pass
  • final_result

Pending Decisions

Use runtime PAUSED + pending_decision for:

  • ambiguous ADD vs REPLAN
  • readiness approval for score 4-5
  • missing critical Story context

Worker Contract

Workers:

  • do not know the coordinator
  • do not read runtime state
  • remain standalone
  • managed runs require both runId and summaryArtifactPath
  • return the shared task-plan summary envelope and write the artifact before terminal outcome

Expected summary kind:

  • task-plan

Worker Invocation (MANDATORY)

| Phase | Worker | Context | |-------|--------|---------| | 5 | ln-301-task-creator | CREATE or ADD path | | 5 | ln-302-task-replanner | REPLAN path |

node shared/scripts/task-plan-worker-runtime/cli.mjs start --skill {worker} --story {storyId} --manifest-file .hex-skills/task-planning/{worker}--{storyId}_manifest.json --run-id {childRunId} --summary-artifact-path {childSummaryArtifactPath}
node shared/scripts/task-planning-runtime/cli.mjs checkpoint --story {storyId} --phase PHASE_5_DELEGATE --payload '{"child_run":{"worker":"{worker}","run_id":"{childRunId}","summary_artifact_path":"{childSummaryArtifactPath}"}}'
Skill(skill: "{worker}", args: "{storyId} --ideal-plan {idealPlanJSON} --traceability {tablePath} --discovery {discoveryJSON} --run-id {childRunId} --summary-artifact-path {childSummaryArtifactPath}")
Read {childSummaryArtifactPath}
node shared/scripts/task-planning-runtime/cli.mjs record-plan --story {storyId} --payload '{...task-plan summary...}'

TodoWrite format (mandatory)

- Phase 1: Discover Story context (pending)
- Phase 2: Build ideal task plan (pending)
- Phase 3: Run readiness gate (local score first, external validation only if triggered) (pending)
- Phase 4: Detect mode (pending)
- Phase 5: Start child runtime, checkpoint child metadata, and perform the single worker handoff (pending)
- Phase 6: Verify worker result (pending)
- Phase 7: Self-check (pending)

Critical Rules

  • Build the ideal plan before looking at existing tasks.
  • Readiness gate is the only source of delegation readiness.
  • Do not create test or refactoring tasks in this skill.
  • Do not keep approval state in chat-only form.
  • Consume worker summaries, not free-text worker prose.
  • If Story affects existing code and hex-graph is available, do one graph discovery pass before decomposition.
  • Use graph output to reduce planning ambiguity; do not invent affected components when symbol or module evidence is available.

Definition of Done

  • [ ] Runtime started with Story-scoped identifier
  • [ ] Discovery checkpointed
  • [ ] Ideal plan checkpointed
  • [ ] Readiness gate checkpointed
  • [ ] Mode detection checkpointed
  • [ ] Child task-plan runtime started with deterministic runId
  • [ ] Child run metadata checkpointed before delegation
  • [ ] Task-plan worker summary recorded
  • [ ] Verification checkpointed
  • [ ] Template compliance passed for all created Tasks
  • [ ] Final result recorded
  • [ ] Self-check passed

Meta-Analysis

MANDATORY READ: Load shared/references/meta_analysis_protocol.md

Skill type: planning-coordinator. Run after all phases complete. Output to chat using the protocol format.


Version: 4.0.0 Last Updated: 2026-02-03