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.
npx skills add Mr-Nothing-L/awesome-agent-team --skill brainstorm-teamgit clone --depth 1 https://github.com/Mr-Nothing-L/awesome-agent-teamWrote 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.
[](https://agentmods.dev/skills/mr-nothing-l/awesome-agent-team/brainstorm-team)<a href="https://agentmods.dev/skills/mr-nothing-l/awesome-agent-team/brainstorm-team"><img src="https://agentmods.dev/badge/skills/mr-nothing-l/awesome-agent-team/brainstorm-team/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/mr-nothing-l/awesome-agent-team/brainstorm-team"><img src="https://agentmods.dev/badge/skills/mr-nothing-l/awesome-agent-team/brainstorm-team.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 5.1 | $0.00119 | $0.00836 |
| Opus 5 | $0.00060 | $0.00418 |
| Sonnet 5 | $0.00024 | $0.00167 |
| Haiku 4.5 | $0.00012 | $0.00084 |
Grade A, and why
brainstorm-team 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 10d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
brainstorm-team
Language matching: detect the language the user is writing in and respond in the same language. If the user writes in Chinese, reply in Chinese. If English, reply in English. Do not mix languages unless the user does.
Work with a Team-Leader to design an Agent Team for your project.
When to use this skill
- You know what you want to build but aren't sure what roles you need
- You want project-specific agent definitions (not generic templates)
- You want to review and approve the team design before anyone is spawned
What happens
- A Team-Leader subagent chats with you to clarify your goal
- The Team-Leader drafts a team composition (roles, scope, ownership)
- You iterate until you're satisfied
- The Team-Leader writes
./recruitment-plan.mdand./.claude/agents/<role>.mdfiles - You're ready for
spawn-team
Prerequisite: Agent Teams must be enabled (
CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1). If not, run/start-teamfirst — its Preflight phase will guide you through setup.
How to invoke
From /start-team
This is Phase 2 of the /start-team command. The main session spawns the Team-Leader automatically after Opening and Preflight.
Standalone
If you already have Agent Teams enabled and want to re-brainstorm (e.g. the project scope changed):
Agent({
subagent_type: "awesome-agent-team:team-leader",
description: "Brainstorm team for: <your goal>",
prompt: "<your goal and context>"
})
The Team-Leader's full behaviour is defined in agents/team-leader.md at the repo root (single source of truth).
The sign-off gate (critical)
The Team-Leader must not write any files until you explicitly approve the draft.
The loop:
- Team-Leader presents a draft table (roles, first tasks, file ownership)
- You approve, modify, add, or remove
- Loop until you say "go", "ok", "approved", "可以", "继续"
- Only then files are written
A premature ./.claude/agents/ directory means the gate was skipped — that's a bug.
What ships with it
1 file 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.
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.
- 10d ago First seen · 91 lines · 119 tokens per session scan A c707d7698fde
brainstorm-team is a skill published in the GitHub repository Mr-Nothing-L/awesome-agent-team (2 stars, last pushed 4mo ago), licensed MIT. It adds 119 tokens to every session and 836 once invoked, about $0.0006 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 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…