| name | team-interactive-craft |
| description | Unified team skill for interactive component crafting. Vanilla JS + CSS interactive components with zero dependencies. Research -> interaction design -> build -> a11y test. Uses team-worker agent architecture with roles/ for domain logic. Coordinator orchestrates pipeline with GC loops and sync points. Triggers on "team interactive craft", "interactive component". |
| 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__ace-tool__search_context(*), mcp__ccw-tools__read_file(*), mcp__ccw-tools__write_file(*), mcp__ccw-tools__edit_file(*), mcp__ccw-tools__team_msg(*) |
Team Interactive Craft
Systematic interactive component pipeline: research -> interaction design -> build -> a11y test. 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-interactive-craft", 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]
researcher interaction-designer builder a11y-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:
IC
- Session path:
.workflow/.team/IC-<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
Interactive craft is a technical pipeline where research informs interaction design, which guides implementation. Builder needs creative problem-solving for vanilla JS constraints, a11y-tester needs thorough analysis.
| Role | reasoning_effort | Rationale |
|---|
| researcher | high | Deep analysis of existing interactive patterns and browser APIs |
| interaction-designer | high | Creative state machine and event flow design |
| builder | high | Complex vanilla JS implementation with GPU animation and touch handling |
| a11y-tester | high | Thorough accessibility audit must catch all keyboard/screen reader issues |
Research-to-Design Context Flow
Researcher findings must reach interaction-designer via coordinator's upstream context:
// After RESEARCH-001 completes, coordinator sends findings to interaction-designer
spawn_agent({
agent_type: "team_worker",
task_name: "INTERACT-001",
fork_turns: "none",
message: `## Upstream Context
Research findings: <session>/research/interaction-inventory.json
Browser API audit: <session>/research/browser-api-audit.json
Pattern reference: <session>/research/pattern-reference.json`
})
User Commands
| Command | Action |
|---|
check / status | View execution status graph |
resume / continue | Advance to next step |
Specs Reference
Session Directory
.workflow/.team/IC-<date>-<slug>/
+-- .msg/
| +-- messages.jsonl # Team message bus
| +-- meta.json # Pipeline config + GC state
+-- research/ # Researcher output
| +-- interaction-inventory.json
| +-- browser-api-audit.json
| +-- pattern-reference.json
+-- interaction/ # Interaction designer output
| +-- blueprints/
| +-- {component-name}.md
+-- build/ # Builder output
| +-- components/
| +-- {name}.js
| +-- {name}.css
+-- a11y/ # A11y tester output
| +-- a11y-audit-{NNN}.md
+-- 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 interaction-designer |
| Assign build from reviewed blueprints | followup_task | Assign BUILD task after blueprint review |
| 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: "INTERACT-001", message: "..." }) -- send research findings to interaction-designer
followup_task({ target: "BUILD-001", message: "..." }) -- assign implementation from interaction blueprint
close_agent({ target: "A11Y-001" }) -- cleanup after a11y audit
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 |