kb-retriever Agent Skill

A retrieval and Q&A assistant for local knowledge base directories, combining grep, Read, pdfplumber, and pandas by file type for progressiv.

Context cost
7k tokensestimated from the bundle, loaded when it triggers
Bundle
5 files · 29.0 kB1 script among them — read before you run
Licence
not declarednone named by its author
Last change
—no release on file
Servers it uses
Noneruns standalone

What it does

面向本地知识库目录的检索和问答助手。核心流程:(1)分层索引导航 (2)遇到PDF/Excel时必须先读取references学习处理方法 (3)处理文件后再检索。按文件类型组合使用 grep、Read、pdfplumber、pandas 进行渐进式检索,避免整文件加载。用户问题涉及"从知识库目录回答问题/检索信息/查资料"时使用。

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.

knowledge-baselocal-searchragretrieval
Filed under

Search

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.md14.0 kB · preview
--- name: kb-retriever ---
6# 本地知识库检索 Skill(kb-retriever)
7
8## 知识库目录说明
9
10- 知识库存放在一个根目录下,包含多种文件类型(如 .md/.txt、.pdf、.xlsx 等),通常按类型或业务用途拆分为多级子目录。
11- 采用**分层目录索引文件**:
12 - 根目录有一个 data_structure.md,说明主要的「领域目录」及其用途。
13 - 每个领域目录下可以有自己的 data_structure.md,说明该目录下有哪些子目录/文件,以及各自用途。
14 - 更深一层的子目录也可以继续有 data_structure.md,形成多级索引树。
15- 知识库根目录约定:
16 - 默认认为知识库位于当前项目根目录下的 knowledge/ 目录。
17 - 如果用户在对话中明确指定了其他路径(例如“我的知识库在 /data/kb”或“用 ./docs 这个目录作为知识库”),则以用户指定的路径作为根目录。
18 - 当默认路径 knowledge/ 不存在或访问失败时,应向用户确认实际的知识库根目录位置,而不是随意猜测。
19- 单个业务文件可能很大:
20 - 不要直接用 Read 读取整文件
21 - 对 PDF、Excel 使用对应 Skill 进行结构化处理后,再结合 grep/局部读取做精细检索
22
23### 定位 knowledge 根目录
24
This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md661 words
Files5
Licencenot declared
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.

≈50
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
6,925
on trigger
The instruction body and 4 supporting files, read only when the skill fires.
3.5%
of a 200k window
Ten skills this size would take about 35% of the window before you open a file.
050k100k150k200k context window

7k 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.

If this is not it

58 other skills in Search

What is in the bundle

5 files, 29.0 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.md14.0 kB
  • references/excel_analysis.md2.7 kB
  • references/excel_reading.md1.7 kB
  • references/pdf_reading.md9.5 kB
  • scripts/convert_pdf_to_images.py1.1 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 5 files you can review in full before installing.

Install

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

# kb-retriever · 7k tokens when loaded · macOS, Linux mkdir -p .claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/kb-retriever/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/kb-retriever" ] && { [ ! -e .claude/skills/kb-retriever ] || { mv .claude/skills/kb-retriever "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/kb-retriever" .claude/skills/ && echo "Installed .claude/skills/kb-retriever"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add conardli/kb-retriever

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

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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Who wrote it

CO
ConardLi

Publishes on mcprush.

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