--- name: catlog22/team-motion-design source: https://app.decimal.ai/s/catlog22-team-motion-design@1/SKILL.md source_sha256: 75a723836c85 --- # Team Motion Design Systematic motion design pipeline: research -> choreography -> animation -> performance testing. Built on **team-worker agent architecture** -- all worker roles share a single agent definition with role-specific Phase 2-4 loaded from `roles//role.md`. ## Architecture ``` Skill(skill="team-motion-design", args="task description") | SKILL.md (this file) = Router | +--------------+--------------+ | | no --role flag --role | | Coordinator Worker roles/coordinator/role.md roles//role.md | +-- analyze -> dispatch -> spawn workers -> STOP | +-------+-------+-------+-------+ v v v v [team-worker agents, each loads roles//role.md] motion-researcher choreographer animator motion-tester ``` ## Role Registry | Role | Path | Prefix | Inner Loop | |------|------|--------|------------| | coordinator | [roles/coordinator/role.md](roles/coordinator/role.md) | -- | -- | | motion-researcher | [roles/motion-researcher/role.md](roles/motion-researcher/role.md) | MRESEARCH-* | false | | choreographer | [roles/choreographer/role.md](roles/choreographer/role.md) | CHOREO-* | false | | animator | [roles/animator/role.md](roles/animator/role.md) | ANIM-* | true | | motion-tester | [roles/motion-tester/role.md](roles/motion-tester/role.md) | MTEST-* | false | ## Role Router Parse `$ARGUMENTS`: - Has `--role ` -> Read `roles//role.md`, execute Phase 2-4 - No `--role` -> `roles/coordinator/role.md`, execute entry router ## Delegation Lock **Coordinator is a PURE ORCHESTRATOR. It coordinates, it does NOT do.** Before calling ANY tool, apply this check: | Tool Call | Verdict | Reason | |-----------|---------|--------| | `spawn_agent`, `wait_agent`, `close_agent`, `send_message`, `followup_task` | ALLOWED | Orchestration | | `list_agents` | ALLOWED | Agent health check | | `request_user_input` | ALLOWED | User interaction | | `mcp__ccw-tools__team_msg` | ALLOWED | Message bus | | `Read/Write` on `.workflow/.team/` files | ALLOWED | Session state | | `Read` on `roles/`, `commands/`, `specs/` | ALLOWED | Loading own instructions | | `Read/Grep/Glob` on project source code | BLOCKED | Delegate to worker | | `Edit` on any file outside `.workflow/` | BLOCKED | Delegate to worker | | `Bash("ccw cli ...")` | BLOCKED | Only workers call CLI | | `Bash` running build/test/lint commands | BLOCKED | Delegate to worker | **If a tool call is BLOCKED**: STOP. Create a task, spawn a worker. **No exceptions for "simple" tasks.** Even a single-file read-and-report MUST go through spawn_agent. --- ## Shared Constants - **Session prefix**: `MD` - **Session path**: `.workflow/.team/MD--/` - **CLI tools**: `ccw cli --mode analysis` (read-only), `ccw cli --mode write` (modifications) - **Message bus**: `mcp__ccw-tools__team_msg(session_id=, ...)` - **Max GC rounds**: 2 ## Worker Spawn Template Coordinator spawns workers using this template: ``` spawn_agent({ agent_type: "team_worker", task_name: "", fork_turns: "none", message: `## Role Assignment role: role_spec: /roles//role.md session: session_id: requirement: inner_loop: Read role_spec file (/roles//role.md) to load Phase 2-4 domain instructions. ## Task Context task_id: title: description: pipeline_phase: ## Upstream Context ` }) ``` After spawning, use `wait_agent({ timeout_ms: 1800000 })` to collect results. If `result.timed_out`, send STATUS_CHECK via followup_task (wait 3 min), then FINALIZE with interrupt (wait 3 min), then mark timed_out and close agents. Use `close_agent({ target })` each worker. ### Model Selection Guide Motion design is a performance-critical pipeline where research informs choreography decisions and animations must pass strict GPU performance gates. Researcher needs thorough profiling, animator needs creative implementation with inner loop capability. | Role | reasoning_effort | Rationale | |------|-------------------|-----------| | motion-researcher | high | Deep performance profiling and animation audit across codebase | | choreographer | high | Creative token system design and scroll choreography sequencing | | animator | high | Complex CSS/JS animation implementation with compositor constraints | | motion-tester | medium | Performance validation follows defined test criteria and scoring | ### Research-to-Choreography Context Flow Researcher findings must reach choreographer via coordinator's upstream context: ``` // After MRESEARCH-001 completes, coordinator sends findings to choreographer spawn_agent({ agent_type: "team_worker", task_name: "CHOREO-001", fork_turns: "none", message: `## Upstream Context Research findings: /research/animation-inventory.json Performance baseline: /research/performance-baseline.json Easing catalog: /research/easing-catalog.json` }) ``` ## User Commands | Command | Action | |---------|--------| | `check` / `status` | View execution status graph | | `resume` / `continue` | Advance to next step | ## Specs Reference - [specs/pipelines.md](specs/pipelines.md) -- Pipeline definitions and task registry - [specs/motion-tokens.md](specs/motion-tokens.md) -- Animation token schema - [specs/gpu-constraints.md](specs/gpu-constraints.md) -- Compositor-only animation rules - [specs/reduced-motion.md](specs/reduced-motion.md) -- Accessibility motion preferences ## Session Directory ``` .workflow/.team/MD--/ +-- .msg/ | +-- messages.jsonl # Team message bus | +-- meta.json # Pipeline config + GC state +-- research/ # Motion researcher output | +-- perf-traces/ # Chrome DevTools performance traces | +-- animation-inventory.json | +-- performance-baseline.json | +-- easing-catalog.json +-- choreography/ # Choreographer output | +-- motion-tokens.json | +-- sequences/ # Scroll choreography sequences +-- animations/ # Animator output | +-- keyframes/ # CSS @keyframes files | +-- orchestrators/ # JS animation orchestrators +-- testing/ # Motion tester output | +-- traces/ # Performance trace data | +-- reports/ # Performance reports +-- wisdom/ # Cross-task knowledge ``` ## v4 Agent Coordination ### Message Semantics | Intent | API | Example | |--------|-----|---------| | Queue supplementary info (don't interrupt) | `send_message` | Send research findings to running choreographer | | Assign implementation from reviewed specs | `followup_task` | Assign ANIM task after choreography passes | | Check running agents | `list_agents` | Verify agent health during resume | ### Agent Health Check Use `list_agents({})` in handleResume and handleComplete: ``` // Reconcile session state with actual running agents const running = list_agents({}) // Compare with tasks.json active_agents // Reset orphaned tasks (in_progress but agent gone) to pending ``` ### Named Agent Targeting Workers are spawned with `task_name: ""` enabling direct addressing: - `send_message({ target: "CHOREO-001", message: "..." })` -- send additional research findings to choreographer - `followup_task({ target: "ANIM-001", message: "..." })` -- assign animation from reviewed choreography specs - `close_agent({ target: "MTEST-001" })` -- cleanup after performance test ## Error Handling | Scenario | Resolution | |----------|------------| | Unknown command | Error with available command list | | Role not found | Error with role registry | | Session corruption | Attempt recovery, fallback to manual | | Fast-advance conflict | Coordinator reconciles on next callback | | Completion action fails | Default to Keep Active | | GC loop stuck > 2 rounds | Escalate to user: accept / retry / terminate |