Team Perf Opt

What it does

When your agent uses it

• Tasks that involve Performance optimization

Example prompts

• “team perf-opt”
• “/team-perf-opt”

Requirements

• Pre-approved tools (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__team_msg(*)

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

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

What it can do on your machine

Read from SKILL.md and the folder at commit 07491b0. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves these tools, so the agent can use them without asking each time:

  • spawn_agent(*)
  • wait_agent(*)
  • send_message(*)
  • followup_task(*)
  • close_agent(*)
  • list_agents(*)
  • report_agent_job_result(*)
  • request_user_input(*)
  • Read(*)
  • Write(*)

  …and 6 more on the same allowed-tools line.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  No scripts in the folder and no shell commands in SKILL.md.

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Team Perf Opt loads about 2.6k tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 631 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~53

When it runs · the whole SKILL.md, loaded when a task matches

~2.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

• NotePre-approves every shell command (allowed-tools: Bash)SKILL.md

  allowed-tools: spawn_agent(*), wait_agent(*), send_message(*), followup_task(*), close_agent(*), list_agents(*), re

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from catlog22/Claude-Code-Workflow at commit 07491b0, republished under its MIT licence (© catlog22). 631 words, ~2,602 tokens.

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".

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__team_msg(*)

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)

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>`
})

spawn_agent({
  agent_type: "team_worker",
  task_name: "BENCH-001",
  fork_turns: "all",   // Share context so benchmarker sees profiler's baseline metrics
  reasoning_effort: "medium",
  message: "..."
})

.workflow/.team/PERF-OPT-<date>-<slug>/
+-- 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

// 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

functions.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" }
    ]
  }]
})

© catlog22, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 11 other files in .codex/skills/team-perf-opt of catlog22/Claude-Code-Workflow.

• SKILL.md
• roles/benchmarker/role.md
• roles/coordinator/commands/analyze.md
• roles/coordinator/commands/dispatch.md
• roles/coordinator/commands/monitor.md
• roles/coordinator/role.md
• roles/optimizer/role.md
• roles/profiler/role.md
• roles/reviewer/role.md
• roles/strategist/role.md
• specs/pipelines.md
• specs/team-config.json

Open the folder on GitHubat commit 07491b0

Used in 1 other repository

We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders. This page covers the copy in catlog22/Claude-Code-Workflow, which our catalogue first saw on October 7, 2026.

• catlog22/maestro-flow.codex/skills/team-perf-opt.claude/skills/team-perf-opt