team-perf-opt
Skill2.1k starsChanged 7 months agoMITArchived repositoryView on GitHub
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".
3 other projects use a version of this, 2 of them edited.
Adopted by
Most recently taken up by
- catlog22/Maestro-Flowedited, first seen Oct 9, 2026
- catlog22/maestro-flowedited, first seen Sep 4, 2026
- zhao-wuyan/ccw-command-explorerword for word, first seen May 8, 2026
Other versions3 projects use a version of this.
Word for word · 1
- zhao-wuyan/ccw-command-explorer★ 45100% same
Edited · 2
- catlog22/maestro-flow★ 57178% same
- catlog22/Maestro-Flow★ 57178% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository59 other files it gives its agents.
- .codex/AGENTS.mdAGENTS.md
- brainstormSkill
- ccw-chainSkill
- ccw-helpSkill
- delegation-checkSkill
- investigateSkill
- issue-manageSkill
- memory-captureSkill
- memory-manageSkill
- prompt-generatorSkill
- review-codeSkill
- review-cycleSkill
- security-auditSkill
- shipSkill
- skill-generatorSkill
- skill-iter-tuneSkill
- skill-simplifySkill
- skill-tuningSkill
- spec-generatorSkill
- team-arch-optSkill
- team-brainstormSkill
- team-coordinateSkill
- team-designerSkill
- team-executorSkill
- team-frontend-debugSkill
- team-frontendSkill
- team-interactive-craftSkill
- team-issueSkill
- team-lifecycle-v4Skill
- team-motion-designSkill
- team-planexSkill
- team-quality-assuranceSkill
- team-reviewSkill
- team-roadmap-devSkill
- team-tech-debtSkill
- team-testingSkill
- team-uidesignSkill
- team-ui-polishSkill
- team-ultra-analyzeSkill
- team-ux-improveSkill
- team-visual-a11ySkill
- wf-composerSkill
- wf-playerSkill
- workflow-executeSkill
- workflow-lite-executeSkill
- workflow-lite-planSkill
- workflow-lite-test-reviewSkill
- workflow-multi-cli-planSkill
- workflow-planSkill
- workflow-skill-designerSkill
- workflow-tdd-plan-planSkill
- workflow-test-fixSkill
- brainstormSkill
- investigateSkill
- review-cycleSkill
- spec-generatorSkill
- workflow-planSkill
- workflow-tdd-planSkill
- workflow-test-fixSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 135
When the pipeline completes:
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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>→ Readroles/<name>/role.md, execute Phase 2-4 - No
--role→@roles/coordinator/role.md, execute entry router
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:
Agent({
subagent_type: "team-worker",
description: "Spawn <role> worker",
team_name: "perf-opt",
name: "<role>",
run_in_background: true,
prompt: `## Role Assignment
role: <role>
role_spec: <skill_root>/roles/<role>/role.md
session: <session-folder>
session_id: <session-id>
team_name: perf-opt
requirement: <task-description>
inner_loop: <true|false>
## Progress Milestones
session_id: <session-id>
Report progress via team_msg at natural phase boundaries (context loaded -> core work done -> verification).
Report blockers immediately via team_msg type="blocker".
Report completion via team_msg type="task_complete" after final SendMessage.
Read role_spec file (@<skill_root>/roles/<role>/role.md) to load Phase 2-4 domain instructions.
Execute built-in Phase 1 (task discovery) -> role Phase 2-4 -> built-in Phase 5 (report).`
})Inner Loop roles (optimizer): Set inner_loop dynamically — true for single mode, false for fan-out/independent (parallel branches).
Single-task roles (profiler, strategist, benchmarker, reviewer): Set inner_loop: false.
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 metadataCompletion Action
When the pipeline completes:
AskUserQuestion({
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
- specs/pipelines.md — Pipeline definitions and task registry
- specs/team-config.json — Team configuration
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 |
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

