Decision Research Agent Skill

Conducts decision-driven research, analyzes competing hypotheses, and delivers evidence-backed recommendations for technical and product…

Context cost
16.3k tokensestimated from the bundle, loaded when it triggers
Bundle
18 files · 66.7 kB1 script among them — read before you run
Licence
MITthe author’s own terms
Last change
—no release on file
Servers it uses
Noneruns standalone

What it does

决策调研 / Decision-Driven Research:当用户面对一个具体决策需要找信息时使用——「有没有现成方案」 「怎么接入 X 平台」「这个技术可行吗」「业界怎么做 Y」「选 A 还是 B」「桌面端应该怎么定位」 「高级版和基础版怎么拉开差异」「这个产品方向对不对」。 核心行为:先框定研究层级和问题类型,再锚定决策问题,枚举竞争假设,主动找反对证据, 用排除逻辑给出有立场的结论。支持技术选型、产品策略、商业判断、竞品定位等所有需要做决定的调研。 可用中文唤起:「帮我调研」「有没有现成方案」「这个怎么接」「技术上可行吗」「帮我选一个」 「这个产品方向对不对」「我们应该怎么定位」「行业怎么做」。 与 research-topic-compiler 的边界:需要最终选择、推荐、排除理由、置信度和颠覆条件时用这个; 如果目标是长期学习、候选池沉淀或 Research Project,用 research-topic-compiler,再把 Candidate Backlog 交回本 Skill 做最终决策。 只有发现一个会实质改变结论、可研究且可关闭的证据 gap 时,才向 research-topic-compiler 发出精确 Return Request。 不用于:问题还没定义清楚时(先用 ai-collaboration-calibration L4-fuzzy…

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.

productivityresearch

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.md11.1 kB · preview
--- name: decision-research ---
17# 决策调研 Skill(decision-research)
18
19## 中文速查
20
21- 中文名:决策调研 / 决策驱动调研
22- 英文稳定名:decision-research
23- 分类:研究学习 / 认知与协作
24- 你可以这样叫我:帮我调研、有没有现成方案、这个怎么接、技术上可行吗、帮我选一个、业界怎么做、这个方向对不对、应该怎么定位
25- 适合:面对一个具体决策需要找信息——单次、即时、调研完直接进入下一步;也可消费 research-topic-compiler 产出的 Candidate Backlog / Cross-Session Handoff 来给最终推荐
26- 不适合:问题还没想清楚(先用 ai-calibration L4-fuzzy 脑暴);需要系统学习或沉淀知识库(用 research-topic-compiler)
27- 与 research-topic-compiler 的一句话区别:**调研是为了做一个决定**(decision-research)vs **调研是为了建立对某个领域的认知**(research-topic-compiler)
28
29## 核心原则
30
31**调研是服务于决策的,不是服务于信息完整性的。**
32
33本 Skill 拥有最终推荐、排除理由、置信度和颠覆条件,也拥有当前 decision_question 内为选择服务的有界取证与反证搜索;不拥有开放式知识工程,不执行已经通过 Research Return Request 明确交给 Research 的证据 gap,也不拥有方案设计、Critic clearance 或 readiness 审批。
34
35去掉所有图表和术语,剩下的结论能不能让用户敢于立刻做决定?如果不能,问题出在信息太浅,或者决策问题本身还没定义清楚。
This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md588 words
Files18
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.

≈170
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
16,155
on trigger
The instruction body and 17 supporting files, read only when the skill fires.
8.2%
of a 200k window
Ten skills this size would take about 82% of the window before you open a file.
050k100k150k200k context window

16.3k 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

18 files, 66.7 kB on disk. Mostly text — the instructions the model reads — with 1 script in it that your client would run only if the instructions tell it to.

  • SKILL.md11.1 kB
  • evals/evals.json13.5 kB
  • references/assumption-ledger.md2.2 kB
  • references/channel-guide.md4.6 kB
  • references/conclusion-template.md2.9 kB
  • references/core-loop-decision-handoff.md3.8 kB
  • references/decision-loop-contract.md5.2 kB
  • references/mode-routing.md2.1 kB
  • references/research-framing-gate.md3.5 kB
  • references/research-map-template.md2.3 kB
  • references/research-rules.md4.8 kB
  • references/scope-drift-checkpoint.md2.0 kB
  • references/top-down-product-mode.md3.1 kB
  • scripts/check_decision_report.py1.4 kB
  • references/modes/business-model.md0.9 kB
  • references/modes/platform-integration.md1.2 kB
  • references/modes/product-strategy.md1.1 kB
  • references/modes/technical-selection.md1.0 kB
What is not in it

A skill installs nothing and depends on nothing: it is a folder your client reads. This one carries 1 script beside the text, so the bundle is 18 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.

# Decision Research · 16.3k tokens when loaded · macOS, Linux mkdir -p .claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/decision-research/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/decision-research" ] && { [ ! -e .claude/skills/decision-research ] || { mv .claude/skills/decision-research "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/decision-research" .claude/skills/ && echo "Installed .claude/skills/decision-research"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add pangkaifeng/decision-research

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/decision-research/ 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/decision-research/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/decision-research" ] && { [ ! -e ~/.claude/skills/decision-research ] || { mv ~/.claude/skills/decision-research "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/decision-research" ~/.claude/skills/ && echo "Installed ~/.claude/skills/decision-research" (macOS, Linux) — or add --global to the npx line. The curl line replaces .claude/skills/decision-research/ 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/decision-research

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.

Reviews

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