Agent skill

team-motion-design

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".

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Install this agent skill to your Project

npx add-skill https://github.com/catlog22/Claude-Code-Workflow/tree/main/.codex/skills/team-motion-design

SKILL.md

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 Path Prefix Inner Loop
coordinator roles/coordinator/role.md -- --
motion-researcher roles/motion-researcher/role.md MRESEARCH-* false
choreographer roles/choreographer/role.md CHOREO-* false
animator roles/animator/role.md ANIM-* true
motion-tester roles/motion-tester/role.md MTEST-* false

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, assign_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-<slug>-<date>/
  • 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_context: false,
  items: [
    { type: "text", text: `## 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.` },

    { type: "text", text: `## Task Context
task_id: <task-id>
title: <task-title>
description: <task-description>
pipeline_phase: <pipeline-phase>` },

    { type: "text", text: `## Upstream Context
<prev_context>` }
  ]
})

After spawning, use wait_agent({ targets: [...], timeout_ms: 900000 }) to collect results, then 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_context: false,
  items: [
    ...,
    { type: "text", text: `## 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

  • specs/pipelines.md -- Pipeline definitions and task registry
  • specs/motion-tokens.md -- Animation token schema
  • specs/gpu-constraints.md -- Compositor-only animation rules
  • specs/reduced-motion.md -- Accessibility motion preferences

Session Directory

.workflow/.team/MD-<slug>-<date>/
+-- .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 assign_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", items: [...] }) -- send additional research findings to choreographer
  • assign_task({ target: "ANIM-001", items: [...] }) -- 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

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