Agent skill

Agent Team

by dyoshikawa in dyoshikawa/rulesync

Form an Agent Team of Implementer and Reviewer subagents to tackle the given task, looping implementation and review until the Reviewer reports zero high-or-above findings and no more than three mid…

MITAuto-check passedAgent Workflows

Install Agent Team

skills CLI
$ npx skills add dyoshikawa/rulesync --skill agent-team -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install dyoshikawa/rulesync agent-team --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/dyoshikawa/rulesync.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.rulesync/skills/agent-team .claude/skills/agent-team && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
agent-team
GitHub stars
1.5k
Token cost
~993 tokens
SKILL.md length
533 words
Files
1
Skills in repo
40
Repo updated
First seen
Licence
MIT

At a glance

Form an Agent Team of Implementer and Reviewer subagents to tackle the given task, looping implementation and review until the Reviewer reports zero high-or-above findings and no more than three mid…

  • Works in 3 steps: Exit Condition → Iteration Loop → Final Report
  • Tasks that involve Subagents
  • SKILL.md covers 0. Exit Condition, 1. Iteration Loop and 2. Final Report
  • Calls pnpm

What it does

Agent Team is an agent skill from dyoshikawa/rulesync. Form an Agent Team of Implementer and Reviewer subagents to tackle the given task, looping implementation and review until the Reviewer reports zero high-or-above findings and no more than three mid findings.

Its SKILL.md is about 990 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Subagents. The repository describes itself as: A Utility CLI for AI Coding Agents. The licence is MIT.

When your agent uses it

  • Tasks that involve Subagents

Example prompts

  • “/agent-team”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Exit Condition
  2. Iteration Loop
  3. Final Report

What it can do on your machine

Read from SKILL.md and the folder at commit 2c577d0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • pnpm

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

  • Network

    No URLs in SKILL.md. Its commands use pnpm, which can reach the network depending on how they are called.

    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

Agent Team loads about 993 tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 533 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~55
When it runs · the whole SKILL.md, loaded when a task matches
~993

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

Auto-check passed

The automated check found no risky patterns in SKILL.md.

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 dyoshikawa/rulesync at commit 2c577d0, republished under its MIT licence (© dyoshikawa). 533 words, ~993 tokens.

Download SKILL.mdSave it as .claude/skills/agent-team/SKILL.md (or your agent's skills folder).
name
agent-team
description
Form an Agent Team of Implementer and Reviewer subagents to tackle the given task, looping implementation and review until the Reviewer reports zero high-or-above findings and no more than three mid findings.
targets
claudecode

Agent Team

TASK = the user's request

If TASK is not provided, ask the user for the task description and stop.

Coordinate an Agent Team composed of an Implementer Agent and a Reviewer Agent. Iterate the implementation/review loop until the exit condition is satisfied.

0. Exit Condition

The loop exits when both of the following hold in a single review round:

  • 0 findings of severity high or critical.
  • 3 or fewer findings of severity mid.

Findings of severity low do not affect the exit condition.

Set a hard safety cap of 10 iterations. If the exit condition is still not met at the cap, stop the loop and report the remaining findings to the user for manual decision.

1. Iteration Loop

Repeat the following steps until the exit condition is satisfied.

1-1. Implementation Phase

Delegate to the Implementer Agent via the Agent tool.

  • subagent_type: general-purpose
  • Role framing: "You are the Implementer Agent on an Agent Team."
  • Inputs to pass:
    • The original TASK.
    • All Reviewer findings from the previous round (if any), grouped by severity.
  • Instructions to include in the prompt:
    • Implement the TASK end-to-end in the current repository.
    • Address every Reviewer finding from the previous round. For each finding, either fix it or, if you intentionally reject it, record the reason.
    • Edit files directly; do not only describe changes.
    • Run pnpm cicheck (or the narrower pnpm cicheck:code / cicheck:content when appropriate) and fix any failures before returning.
    • Report: a concise summary of the changes, the list of modified files, how each previous finding was handled, and the result of the checks.
Show full SKILL.md (274 more words)Show less
1-2. Review Phase

Delegate to the Reviewer Agent via the Agent tool.

  • subagent_type: code-reviewer
  • Role framing: "You are the Reviewer Agent on an Agent Team."
  • Inputs to pass:
    • The original TASK.
    • The Implementer's summary and the list of modified files from this round.
  • Instructions to include in the prompt:
    • Review the changes for correctness, design quality, tests, and adherence to project conventions (see CLAUDE.md, docs/**/*.md, and .claude/rules/feature-change-guidelines.md).
    • Also consider security concerns.
    • Produce a findings list. For each finding, include:
      • Sequential number (e.g., #1, #2).
      • Severity: low / mid / high / critical.
      • File path and line number(s).
      • Problem description and recommended fix.
    • At the end of the report, include a Severity Summary with the counts per severity level so the exit condition can be evaluated mechanically.
1-3. Evaluate the Exit Condition

Parse the Reviewer's Severity Summary.

  • If high + critical == 0 and mid <= 3: exit the loop.
  • Otherwise: feed the findings into the next Implementation Phase and continue.

Between iterations, emit a short status line to the user such as Iteration N complete — high/critical: X, mid: Y, low: Z.

2. Final Report

After the loop exits, report the following to the user:

  • Outcome: Converged (exit condition met) or Capped (hit iteration cap).
  • Iterations: how many rounds were executed.
  • Remaining findings: the final Severity Summary, plus the full list of remaining mid and low findings (and any high/critical findings that remain when the loop was capped).
  • Changes: a brief summary of what was implemented and which files were modified.
  • Next steps: suggestions for the user (e.g., create a commit / PR via the commit-push-pr skill).

Do not auto-commit or open a PR from this skill; leave that to the user.

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

Files

Just SKILL.md in .rulesync/skills/agent-team of dyoshikawa/rulesync.

Open the folder on GitHubat commit 2c577d0

Compare with similar skills

Agent Team next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Agent Team compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agent Team this skilldyoshikawa/rulesync1.5k—~993Automated safety check: PassMIT
Claude Code Agent Developmentanthropics/claude-plugins-official38k7 repos~2.8kAutomated safety check: PassApache-2.0
Subagent Driven DevelopmentAsvarox/allkaraoke26137 repos~1.2kAutomated safety check: PassNone
Dispatching Parallel Agentsultralisp/ultralisp25840 repos~1.5kAutomated safety check: PassNone
Paseo Advisor Second Opiniongetpaseo/paseo20k1 repos~756Automated safety check: PassCustom licence
Task Observerrebelytics/one-skill-to-rule-them-all3.2k1 repos~12kAutomated safety check: PassCC-BY-4.0

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Categories

Questions about Agent Team

What does Agent Team do?

Form an Agent Team of Implementer and Reviewer subagents to tackle the given task, looping implementation and review until the Reviewer reports zero high-or-above findings and no more than three mid…. Agent Team is an agent skill from dyoshikawa/rulesync. Form an Agent Team of Implementer and Reviewer subagents to tackle the given task, looping implementation and review until the Reviewer reports zero high-or-above findings and no more than three mid findings.

When should I use Agent Team?

Agent Team fits situations like: tasks that involve Subagents.

How do I install Agent Team in Claude Code?

Run `npx skills add dyoshikawa/rulesync --skill agent-team -a claude-code`. Or copy the skill folder (.rulesync/skills/agent-team in dyoshikawa/rulesync) into .claude/skills/agent-team in your project. Claude Code loads it when a task matches its description.

How do I install Agent Team in Codex?

Run `npx skills add dyoshikawa/rulesync --skill agent-team -a codex`. Or copy the skill folder (.rulesync/skills/agent-team in dyoshikawa/rulesync) into .agents/skills/agent-team in your project. Codex loads it when a task matches its description.

Can I use Agent Team in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add dyoshikawa/rulesync --skill agent-team -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-team, .gemini/skills/agent-team, .github/skills/agent-team and .opencode/skills/agent-team in your project.

What does Agent Team need to run?

Going by SKILL.md and its folder, Agent Team needs the command-line tools its instructions call (pnpm).

Does Agent Team access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Agent Team safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Agent Team use?

Agent Team is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agent Team use?

About 993 tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Agent Team?

Skills that share tags, products or a category with Agent Team: Claude Code Agent Development (anthropics/claude-plugins-official, 38k stars), Subagent Driven Development (Asvarox/allkaraoke, 261 stars), Dispatching Parallel Agents (ultralisp/ultralisp, 258 stars) and Paseo Advisor Second Opinion (getpaseo/paseo, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agent Team?

dyoshikawa (a GitHub user) maintains it in dyoshikawa/rulesync, which has 1,508 GitHub stars. The repository holds 40 skills in this directory. The repository was last updated on October 9, 2026.

Source: dyoshikawa/rulesync on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.