| name | team-motion-design |
| description | Unified team skill for motion design. Animation token systems, scroll choreography, GPU-accelerated transforms, reduced-motion fallback. Uses team-worker agent architecture. Triggers on "team motion design", "animation system". |
| allowed-tools | spawn_agent(*), wait_agent(*), send_message(*), followup_task(*), close_agent(*), list_agents(*), report_agent_job_result(*), request_user_input(*), Read(*), Write(*), Edit(*), Bash(*), Glob(*), Grep(*), mcp__ccw-tools__read_file(*), mcp__ccw-tools__write_file(*), mcp__ccw-tools__edit_file(*), mcp__ccw-tools__team_msg(*), mcp__chrome-devtools__evaluate_script(*), mcp__chrome-devtools__take_screenshot(*), mcp__chrome-devtools__performance_start_trace(*), mcp__chrome-devtools__performance_stop_trace(*), mcp__chrome-devtools__performance_analyze_insight(*) |
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>/role.md.
Architecture
Skill(skill="team-motion-design", args="task description")
|
SKILL.md (this file) = Router
|
+--------------+--------------+
| |
no --role flag --role <name>
| |
Coordinator Worker
roles/coordinator/role.md roles/<name>/role.md
|
+-- analyze -> dispatch -> spawn workers -> STOP
|
+-------+-------+-------+-------+
v v v v
[team-worker agents, each loads roles/<role>/role.md]
motion-researcher choreographer animator motion-tester
Role Registry
Role Router
Parse $ARGUMENTS:
- Has
--role <name> -> Read roles/<name>/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-<date>-<slug>/
- CLI tools:
ccw cli --mode analysis (read-only), ccw cli --mode write (modifications)
- Message bus:
mcp__ccw-tools__team_msg(session_id=<session-id>, ...)
- Max GC rounds: 2
Worker Spawn Template
Coordinator spawns workers using this template:
spawn_agent({
agent_type: "team_worker",
task_name: "<task-id>",
fork_turns: "none",
message: `## Role Assignment
role: <role>
role_spec: <skill_root>/roles/<role>/role.md
session: <session-folder>
session_id: <session-id>
requirement: <task-description>
inner_loop: <true|false>
Read role_spec file (<skill_root>/roles/<role>/role.md) to load Phase 2-4 domain instructions.
## Task Context
task_id: <task-id>
title: <task-title>
description: <task-description>
pipeline_phase: <pipeline-phase>
## Upstream Context
<prev_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: <session>/research/animation-inventory.json
Performance baseline: <session>/research/performance-baseline.json
Easing catalog: <session>/research/easing-catalog.json`
})
User Commands
| Command | Action |
|---|
check / status | View execution status graph |
resume / continue | Advance to next step |
Specs Reference
Session Directory
.workflow/.team/MD-<date>-<slug>/
+-- .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: "<task-id>" enabling direct addressing:
send_message({ target: "CHOREO-001", message: "..." }) -- send additional research findings to choreographerfollowup_task({ target: "ANIM-001", message: "..." }) -- assign animation from reviewed choreography specsclose_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 |
