AI Collaboration Calibration Agent Skill

Aligns product thinking and refines fuzzy problem definitions by actively challenging assumptions and structuring collaborative…

Context cost
11.5k tokensestimated from the bundle, loaded when it triggers
Bundle
22 files · 46.1 kBtext throughout, nothing executable
Licence
MITthe author’s own terms
Last change
—no release on file
Servers it uses
Noneruns standalone

What it does

协作校准 / 认知校准 / 问题脑暴:当用户有模糊感受说不清问题、方案越补越复杂、想挑战假设、 想重新定义问题、想知道成熟领域里怎么叫这个问题时使用。 可用中文唤起:"帮我想想""先聊一下""一起脑暴""我感觉有问题但不清楚是什么" "先别执行,帮我看清问题""挑战我的假设""这个方案是不是想错了""帮我做认知校准" "双向钢人""钢人论证一下""正反最强论证,给我明确判断"。 也适用于:用户直接说"帮我做 X 功能""接入 Y 平台"但背景复杂、或对话早期感觉方向可能跑偏时, AI 主动识别并建议进入脑暴模式。 这里的“挑战假设”主要指问题定义、目标、约束和领域定位层面的假设;如果问题已确认且用户已有具体方案、 计划、架构或决策要压力测试,应转用 grill-me。不用于翻译、摘要、格式整理、单文件小改等简单执行任务。

What this skill changes about the agent has not been set out here as a list. Its SKILL.md, shown below, says it in the author’s own words.

productivity

The skill itself

A skill is instructions the model reads, so you can see what you are getting: below is the start of its SKILL.md. The front matter loads with every session, the body loads when the skill triggers, and the whole file comes with the install.

SKILL.md7.3 kB · preview
--- name: ai-collaboration-calibration ---
15# AI 协作校准 Skill
16
17## 中文速查
18
19- 中文名:协作校准 / 认知校准 / 问题脑暴
20- 英文稳定名:ai-collaboration-calibration
21- 分类:认知与协作
22- 你可以这样叫我:帮我想想、先聊一下、一起脑暴、先别执行,帮我看清问题、挑战我的假设、这个方案是不是想错了、帮我做认知校准、双向钢人、钢人论证一下、正反最强论证
23- 适合:问题还没定义清楚时的脑暴发散,以及已有问题框架但目标、领域、约束或判断标准可能偏了时的结构化校准
24- 不适合:翻译、摘要、格式转换、明确的小改动;已确认问题上的成熟方案压力测试应改用 grill-me
25
26核心行为:**反转 AI 的默认模式**——从「顺着用户补充」变为「先挑战假设和问题定义」。
27反模式识别和核心原则:加载 references/anti-patterns.md
28
29---
30
31## 第一步:判断协作层级
32
33收到输入后,先判断层级,再决定走哪条路径。
This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md421 words
Files22
LicenceMIT
Why you can read it

Nothing in a skill executes. The client loads the text and the model follows it, so a skill can be audited the way a runbook is — by reading it.

What it costs in context

Skills are not billed by the call. They are paid for in context: every token the instructions occupy is a token your code, your diff and your conversation cannot use. Here is what this one takes and when it takes it.

≈110
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
11,415
on trigger
The instruction body and 21 supporting files, read only when the skill fires.
5.8%
of a 200k window
Ten skills this size would take about 58% of the window before you open a file.
050k100k150k200k context window

11.5k tokens, estimated from the bundle at four bytes to the token, held for the rest of the session once it triggers. Heavy. Teams tend to install this one per project rather than globally, and load it only when the job comes up.

Servers bill, skills cost

A server charges by the month. A skill charges once per session, in context, and then keeps charging it for as long as the session lives.

Before and after

The same question, put to the same model twice: once as it comes, and once with these instructions loaded.

No worked example has been published for this skill yet.

The procedure it runs

The procedure has not been set out here step by step. It is in the body of its SKILL.md: the start of it is shown above, and the whole file comes with the install.

Prose, not code

These steps are written for a model to follow, not executed by a runtime. It can still be told to skip one, and it will say so when it does.

Servers it uses

None. This skill calls no MCP servers at all.

Everything it needs is in the instructions, so it works in a project with nothing connected — the model reads the file and changes how it works with what it can already reach.

Its SKILL.md does not declare which tools it asks the agent for, so what it touches is whatever the instructions themselves ask for — read them before you install it.

What it asks for
Writes filesnot declared
Network accessnot declared

This SKILL.md carries no allowed-tools line, so neither is declared. A skill grants no permissions of its own — it can only ask for tools your client already has.

What it will not do

Every skill is narrow, and the useful ones say where they stop. These are the jobs this one is the wrong tool for.

What this skill is not for has not been published here. Nothing is implied by that: it is a section the author has not filled in.

What is in the bundle

22 files, 46.1 kB on disk. A bundle is text throughout: the instructions the model reads, plus the templates it fills in.

  • SKILL.md7.3 kB
  • evals/check-rules.md2.2 kB
  • evals/evals.json4.1 kB
  • evals/test-prompts.csv1.6 kB
  • references/anti-patterns.md3.1 kB
  • references/brainstorm-mode.md4.6 kB
  • references/output-format.md1.2 kB
  • references/quality-checklist.md2.0 kB
  • references/standard-opening.md1.9 kB
  • references/modes/01-challenge.md1.1 kB
  • references/modes/02-domain-mapping.md1.3 kB
  • references/modes/03-blind-spot.md1.1 kB
  • references/modes/04-best-practice.md1.1 kB
  • references/modes/05-problem-classify.md1.7 kB
  • references/modes/06-failure-premortem.md1.4 kB
  • references/modes/07-solution-space.md1.3 kB
  • references/modes/08-crux.md1.3 kB
  • references/modes/09-expert-role.md1.1 kB
  • references/modes/10-upgrade-path.md1.1 kB
  • references/modes/11-level-up.md1.2 kB
  • references/modes/12-asset-capture.md1.7 kB
  • references/modes/13-steelman-verdict.md2.7 kB
What is not in it

No dependencies and nothing executable: a skill is text the agent reads, so the bundle is 22 files you can review in full before installing. The MIT licence covers the templates and examples as well as the instructions.

Install

Installing copies the bundle into your project. Nothing runs at install time — the files sit on disk until the model reads them.

# AI Collaboration Calibration · 11.5k tokens when loaded · macOS, Linux mkdir -p .claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/ai-collaboration-calibration/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/ai-collaboration-calibration" ] && { [ ! -e .claude/skills/ai-collaboration-calibration ] || { mv .claude/skills/ai-collaboration-calibration "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/ai-collaboration-calibration" .claude/skills/ && echo "Installed .claude/skills/ai-collaboration-calibration"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add pangkaifeng/ai-collaboration-calibration

Windows PowerShell says 'running scripts is disabled on this system'? Run Set-ExecutionPolicy -Scope CurrentUser RemoteSigned once, or type npx.cmd instead of npx (codex.cmd, gemini.cmd, grok.cmd likewise). PowerShell 7 needs neither. Writes to .claude/skills/ai-collaboration-calibration/ in the current project. For every project instead, run mkdir -p ~/.claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/ai-collaboration-calibration/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/ai-collaboration-calibration" ] && { [ ! -e ~/.claude/skills/ai-collaboration-calibration ] || { mv ~/.claude/skills/ai-collaboration-calibration "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/ai-collaboration-calibration" ~/.claude/skills/ && echo "Installed ~/.claude/skills/ai-collaboration-calibration" (macOS, Linux) — or add --global to the npx line. The curl line replaces .claude/skills/ai-collaboration-calibration/ only after the download succeeds, so files left there by another skill of the same name, or by an older release, do not mix in. A copy already there is moved aside, not deleted, and the line prints where.

Which clients pick it up on their own

A skill is a folder of text. Most of these read a skills folder and pick it up without being told; the rest take the same folder another way — an upload in the app, a parameter on an API call — and then choose it by its description just the same.

Claude Code.claude/skills/
Claude DesktopCustomize › Skills
ChatGPTSkills › Create › Upload
Cursor.cursor/skills/
VS Code.github/skills/
Codex CLI.agents/skills/
Gemini CLI.gemini/skills/
Grok Build.grok/skills/
Microsoft CopilotSkills › Upload a skill
PerplexityComputer › Skills › Upload a skill
DeepSeek Harness.dsh/skills/
Zed.agents/skills/
Devin Desktop.devin/skills/
Windsurf (legacy).windsurf/skills/
OpenAI Agents SDKInstructions or sandbox Skills
HTTP / APIa request parameter
This release
Versionnot versioned
Publishedno release date on file
PriceFree
Referencepangkaifeng/ai-collaboration-calibration

Versions

Its author publishes no version number, so there is nothing here to pin to: what you install is the folder as it stands today. Instructions change more often than APIs do — a skill can be rewritten entirely without anything it depends on moving.

Pinning

Nothing to pin to: this skill carries no version number of its own. What you install is what the folder holds on the day you install it.

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