Agent Skills: Team Performance Optimization

Unified team skill for performance optimization. Coordinator orchestrates pipeline, workers are team-worker agents. Supports single/fan-out/independent parallel modes. Triggers on "team perf-opt".

UncategorizedID: catlog22/claude-code-workflow/team-perf-opt

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pnpm dlx add-skill https://github.com/catlog22/Claude-Code-Workflow/tree/HEAD/.codex/skills/team-perf-opt

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.codex/skills/team-perf-opt/SKILL.md

Skill Metadata

Name
team-perf-opt
Description
Unified team skill for performance optimization. Coordinator orchestrates pipeline, workers are team-worker agents. Supports single/fan-out/independent parallel modes. Triggers on "team perf-opt".

Team Performance Optimization

Profile application performance, identify bottlenecks, design optimization strategies, implement changes, benchmark improvements, and review code quality.

Architecture

Skill(skill="team-perf-opt", 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       v
                 [profiler] [strategist] [optimizer] [benchmarker] [reviewer]
                 (team-worker agents)

Pipeline (Single mode):
  PROFILE-001 -> STRATEGY-001 -> IMPL-001 -> BENCH-001 + REVIEW-001 (fix cycle)

Pipeline (Fan-out mode):
  PROFILE-001 -> STRATEGY-001 -> [IMPL-B01..N](parallel) -> BENCH+REVIEW per branch

Pipeline (Independent mode):
  [Pipeline A: PROFILE-A->STRATEGY-A->IMPL-A->BENCH-A+REVIEW-A]
  [Pipeline B: PROFILE-B->STRATEGY-B->IMPL-B->BENCH-B+REVIEW-B] (parallel)

Role Registry

| Role | Path | Prefix | Inner Loop | |------|------|--------|------------| | coordinator | roles/coordinator/role.md | — | — | | profiler | roles/profiler/role.md | PROFILE-* | false | | strategist | roles/strategist/role.md | STRATEGY-* | false | | optimizer | roles/optimizer/role.md | IMPL-, FIX- | true | | benchmarker | roles/benchmarker/role.md | BENCH-* | false | | reviewer | roles/reviewer/role.md | REVIEW-, QUALITY- | false |

Role Router

Parse $ARGUMENTS:

  • Has --role <name> → Read roles/<name>/role.md, execute Phase 2-4
  • No --roleroles/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: PERF-OPT
  • Session path: .workflow/.team/PERF-OPT-<slug>-<date>/
  • Team name: perf-opt
  • CLI tools: ccw cli --mode analysis (read-only), ccw cli --mode write (modifications)
  • Message bus: mcp__ccw-tools__team_msg(session_id=<session-id>, ...)

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.

Inner Loop roles (optimizer): Set inner_loop: true. Single-task roles (profiler, strategist, benchmarker, reviewer): Set inner_loop: false.

Model Selection Guide

Performance optimization is measurement-driven. Profiler and benchmarker need consistent context for before/after comparison.

| Role | reasoning_effort | Rationale | |------|-------------------|-----------| | profiler | high | Must identify subtle bottlenecks from profiling data | | strategist | high | Optimization strategy requires understanding tradeoffs | | optimizer | high | Performance-critical code changes need precision | | benchmarker | medium | Benchmark execution follows defined measurement plan | | reviewer | high | Must verify optimizations don't introduce regressions |

Benchmark Context Sharing with fork_context

For before/after comparison, benchmarker should share context with profiler's baseline:

spawn_agent({
  agent_type: "team_worker",
  task_name: "BENCH-001",
  fork_context: true,   // Share context so benchmarker sees profiler's baseline metrics
  reasoning_effort: "medium",
  items: [...]
})

User Commands

| Command | Action | |---------|--------| | check / status | Output execution status graph (branch-grouped), no advancement | | resume / continue | Check worker states, advance next step | | revise <TASK-ID> [feedback] | Create revision task + cascade downstream (scoped to branch) | | feedback <text> | Analyze feedback impact, create targeted revision chain | | recheck | Re-run quality check | | improve [dimension] | Auto-improve weakest dimension |

Session Directory

.workflow/.team/PERF-OPT-<slug>-<date>/
+-- session.json                    # Session metadata + status + parallel_mode
+-- artifacts/
|   +-- baseline-metrics.json       # Profiler: before-optimization metrics
|   +-- bottleneck-report.md        # Profiler: ranked bottleneck findings
|   +-- optimization-plan.md        # Strategist: prioritized optimization plan
|   +-- benchmark-results.json      # Benchmarker: after-optimization metrics
|   +-- review-report.md            # Reviewer: code review findings
|   +-- branches/B01/...            # Fan-out branch artifacts
|   +-- pipelines/A/...             # Independent pipeline artifacts
+-- explorations/                   # Shared explore cache
+-- wisdom/patterns.md              # Discovered patterns and conventions
+-- discussions/                    # Discussion records
+-- .msg/messages.jsonl             # Team message bus
+-- .msg/meta.json                  # Session metadata

v4 Agent Coordination

Message Semantics

| Intent | API | Example | |--------|-----|---------| | Queue supplementary info (don't interrupt) | send_message | Send baseline metrics to running optimizer | | Assign fix after benchmark regression | assign_task | Assign FIX task when benchmark shows regression | | 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 session.json active tasks
// 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: "IMPL-001", items: [...] }) -- send strategy details to optimizer
  • assign_task({ target: "IMPL-001", items: [...] }) -- assign fix after benchmark regression
  • close_agent({ target: "BENCH-001" }) -- cleanup after benchmarking completes

Baseline-to-Result Pipeline

Profiler baseline metrics flow through the pipeline and must reach benchmarker for comparison:

  1. PROFILE-001 produces baseline-metrics.json in artifacts/
  2. Coordinator includes baseline reference in upstream context for all downstream workers
  3. BENCH-001 reads baseline and compares against post-optimization measurements
  4. If regression detected, coordinator auto-creates FIX task with regression details

Completion Action

When the pipeline completes:

request_user_input({
  questions: [{
    question: "Team pipeline complete. What would you like to do?",
    header: "Completion",
    multiSelect: false,
    options: [
      { label: "Archive & Clean (Recommended)", description: "Archive session, clean up tasks and team resources" },
      { label: "Keep Active", description: "Keep session active for follow-up work or inspection" },
      { label: "Export Results", description: "Export deliverables to a specified location, then clean" }
    ]
  }]
})

Specs Reference

Error Handling

| Scenario | Resolution | |----------|------------| | Unknown --role value | Error with role registry list | | Role file not found | Error with expected path (roles/{name}/role.md) | | Profiling tool not available | Fallback to static analysis methods | | Benchmark regression detected | Auto-create FIX task with regression details | | Review-fix cycle exceeds 3 iterations | Escalate to user | | One branch IMPL fails | Mark that branch failed, other branches continue | | Fast-advance conflict | Coordinator reconciles on next callback | | Completion action fails | Default to Keep Active |