team-arch-opt

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods

npx agentmods add skills/catlog22/claude-code-workflow/team-arch-opt

Any agent

npx skills add catlog22/Claude-Code-Workflow --skill team-arch-opt

Clone the repo

git clone --depth 1 https://github.com/catlog22/Claude-Code-Workflow

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/catlog22/claude-code-workflow/team-arch-opt.svg)](https://agentmods.dev/skills/catlog22/claude-code-workflow/team-arch-opt)

Your own site

<a href="https://agentmods.dev/skills/catlog22/claude-code-workflow/team-arch-opt"><img src="https://agentmods.dev/badge/skills/catlog22/claude-code-workflow/team-arch-opt.svg" alt="Measured on agentmods" height="20"></a>

Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,513 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin unknown No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5	$0.00043	$0.01513
Opus 5	$0.00022	$0.00757
Sonnet 5	$0.00009	$0.00303
Haiku 4.5	$0.00004	$0.00151

Measured today against content hash 59c0ca2fa617, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

team-arch-opt scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/team-arch-opt/SKILL.md · 151 lines

How it starts

The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Team Architecture Optimization

Orchestrate multi-agent architecture optimization: analyze codebase → design refactoring plan → implement changes → validate improvements → review code quality.

Architecture

Skill(skill="team-arch-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
                 [analyzer][designer][refactorer][validator][reviewer]

Role Registry

Role	Path	Prefix	Inner Loop
coordinator	roles/coordinator/role.md	—	—
analyzer	roles/analyzer/role.md	ANALYZE-*	false
designer	roles/designer/role.md	DESIGN-*	false
refactorer	roles/refactorer/role.md	REFACTOR-, FIX-	true
validator	roles/validator/role.md	VALIDATE-*	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 --role → @roles/coordinator/role.md, execute entry router

Shared Constants

Session prefix: TAO
Session path: .workflow/.team/TAO-<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>, ...)

Worker Spawn Template

Coordinator spawns workers using this template:

Read the full file on GitHub · 151 lines

Files

What ships with it

11 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

today First seen · 151 lines · 43 tokens per session scan A 59c0ca2fa617

Subscribe to this mod's changes

team-arch-opt is a skill published in the GitHub repository catlog22/Claude-Code-Workflow (2,133 stars, last pushed 2mo ago), licensed MIT. It adds 43 tokens to every session and 1,513 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Planning claude claude-code cli-tools codex context-management gemini-cli

audit

Audit local Claude Code transcript usage and summarize likely token hotspots. Use when the user asks where Claude Code tokens are going or wants evidence before optimizing.

ictechgy/context-guard · 29 tokens

optimize

Diagnose and reduce Claude Code token usage for a project or session using context hygiene, model and effort routing, MCP minimization, output trimming/sanitizing, subagent discipline, and measurement. Use when the user asks to lower Claude Code token usage, cost, context bloat, or usage-limit burn.

ictechgy/context-guard · 62 tokens