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Agent Skill · 待分类

framing-doc(框架文档)

用于辅助文档、README、Markdown、说明文和内容稿件的整理与改写。它适合让 Agent 提炼结构、补齐章节、统一术语、检查链接或把零散材料整理成可读文档。使用时应保留项目已有事实、命令和路径,不要把未确认的信息写成确定结论;涉及对外文案时,还需要控制语气,避免过度营销或夸大能力。

framing-doc 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描有未通过项,按安装量在待分类类的 11,209 个 Skill 里排第 4,069。

总安装 823周安装 35GitHub Stars 1,009下载 288核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:framing-doc(框架文档)
来源仓库:https://github.com/rjs/shaping-skills
仓库路径:skills/framing-doc
安装命令:
npx skills add https://github.com/rjs/shaping-skills --skill framing-doc
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/rjs/shaping-skills --skill framing-doc

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

用于辅助文档、README 和内容稿件的整理与改写,提升可读性。支持结构提炼、章节补齐、术语统一和链接检查,保留项目事实。避免将未确认信息写成确定结论,尤其涉及对外文案时控制语气。安装前建议确认权限范围,防止误执行命令或修改关键文件。涉及营销性描述时应克制表达,不夸大能力或虚构功能特性。

来源仓库内路径:skills/framing-doc

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/rjs/shaping-skills --skill framing-doc;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

framing-doc 怎么安装?

在终端执行 npx skills add https://github.com/rjs/shaping-skills --skill framing-doc。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

framing-doc 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

framing-doc 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

framing-doc 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

framing-doc 用的人多吗?

公开数据是累计安装 823 次,近一周安装 35 次,下载 288 次,GitHub 1,009 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

framing-doc 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 来源仓库有 1,009 星,维护活跃度相对可查。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理待分类类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
framing-doc

框架文档 · 本页

8231,009需要联网未明确未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Framing from Conversation Transcripts

Produce a frame document from one or more conversation transcripts. The frame captures the "why" — what problem to solve and why this one, not the others.


Before You Start

Ask the user:

  1. Which transcripts? Get specific file paths. Read them in the order the user specifies — conversation order often matters because ideas build across calls.
  2. What's the topic area? A rough sense of what these conversations were about (e.g., "AI features," "onboarding redesign") so you know what to listen for.

What a Frame Document Contains

A frame has three sections:

1. Source — What was actually said

Capture verbatim quotes from the transcripts. This is ground truth. Everything else in the document is interpretation of this material.

  • Attribute quotes to speakers
  • Include enough context that the quote makes sense standalone
  • Add brief connective tissue between quotes where needed, but keep your voice minimal

2. Pre-work — What options surfaced and why this one

Survey the landscape of options that came up across conversations. This is not background — it's the argument for why we're framing this particular problem.

For each option that surfaced:

  • What is it?
  • Who benefits?
  • How strong is the signal? (How many people raised it independently? Did others pick it up or let it drop?)

Then make the case for the one to pursue now:

  • Why is it more urgent or important than the others?
  • Why not the others *right now*? (This is "why not now," not "why not ever" — don't dismiss ideas, just explain why they aren't the priority.)

Do not invent a roadmap or sequence for the other options. Whether and when they happen is a future decision. The only claim you're making is: this one first, for these reasons.

3. Problem / Outcome — The specific frame

Problem: What's broken, what pain exists. Render as bullets for easy scanning.

Outcome: What success looks like. Also bullets. Stay high-level — this is not solution-specific.

4. Less about / More about — Boundary on the solution space (optional)

A guardrail that orients the reader toward what kind of solution fits and away from what kind doesn't. It sits after Problem/Outcome as a separate section. Same format — two symmetric bullet lists.

What it does: Prevents someone from reading the Problem and Outcome correctly but proposing the wrong kind of solution. For example, a problem about getting programs into the system could reasonably lead someone to propose "AI that advises coaches on what to program" — which technically addresses the problem but completely misses the point.

When to include it: When there's a common misunderstanding or an obvious-but-wrong direction that people could easily head toward. The signal is that people in the conversations are actively drawing a line — saying what this is NOT. If nobody felt the need to draw that line, you probably don't need the section.

How it surfaces: This probably won't emerge mechanically from a first pass through the transcripts. It's more likely to surface during review — either the shaper notices a pattern of people saying "not about X," or someone reading the frame proposes something that fits the Problem/Outcome but misses the point. That's the moment where you realize the boundary needs to be made explicit.

What it looks like:

## Less about

- [What this project is NOT trying to solve]
- [The wrong direction people might naturally head toward]

## More about

- [What kind of solution actually fits]
- [The real nature of the problem being addressed]

No quotes or attribution needed — it's a synthesis. Keep it to the key points.


The Key Discipline: Evidence, Not Editorializing

After writing each line in Problem and Outcome, ask: who said this, and where?

  • If you can point to a specific person and moment → keep it, cite it
  • If it's directly implied by what someone said → keep it, mark it as implied with your reasoning
  • If you can't trace it back → drop it

Common traps to avoid

Don't connect dots and present inferences as facts. "Coaches bounce during trials because data entry is too hard" sounds plausible but if nobody said it, don't write it as established truth.

Don't embellish for vividness. Adding specificity that nobody stated ("every exercise, set, rep, and percentage") to make the problem sound more concrete is editorializing.

Don't inflate the options list. An idea that one person mentioned and nobody picked up is not an "option with traction." Be honest about signal strength. Ask yourself: did multiple people raise this independently? Did others build on it or let it die?

Don't editorialize in the Problem statement. Phrases like "TB has to earn the switch" or "the single biggest friction point" are rhetoric, not evidence. Make the case using what was said.

Don't present your framing as their words. Keep your interpretive voice separate from what was actually said. The Source section is theirs. Problem/Outcome are your distillation — and should be traceable back to Source.


Reviewing the Frame

After drafting, examine every line in Problem and Outcome:

  1. Read each bullet
  2. Ask: what's my evidence for this claim?
  3. If the evidence is a direct quote — cite it parenthetically
  4. If the evidence is implied — say so explicitly
  5. If there's no evidence — drop the line

Do the same for the pre-work options table. For each option listed, verify:

  • Did it actually get traction in the conversations? (Multiple people, independently?)
  • Or was it one person's idea that others didn't pick up?

Be willing to shrink the options list. Fewer real options are better than a padded list.


Document Format

---
shaping: true
---

# [Topic] — Frame

## Source

### [Speaker] ([Date])

> "Verbatim quote..."

> "Another quote..."

[Brief connective context where needed.]

### [Speaker] ([Date])

> "Verbatim quote..."

---

## Pre-work: [Topic] Options Landscape

[N] options surfaced with real traction across conversations:

| Option | What it does | Who benefits | Signal strength |
|--------|-------------|--------------|-----------------|
| **A. [Name]** | ... | ... | ... |
| **B. [Name]** | ... | ... | ... |

([Note on ideas that were mentioned but didn't get traction — dropped.])

**Why A now:** [Evidence-based argument for urgency/importance.]

---

## Problem

- [Bullet — traceable to source]
- [Bullet — traceable to source]

## Outcome

- [Bullet — high-level, not solution-specific]
- [Bullet — high-level, not solution-specific]

---

## Less about

- [What this is not]

## More about

- [What this is]

What This Skill Does NOT Do

  • Does not shape solutions. The frame is the "why." Shapes (the "how") come after, in a separate shaping doc.
  • Does not sequence future work. It picks one thing as the priority now. It does not roadmap the rest.
  • Does not summarize conversations. The Source section captures key quotes. The rest of the document is a distillation, not a summary.

平台分布

Codex

32.3%
按下载量换算93

Claude

31.42%
按下载量换算90

Cursor

19.39%
按下载量换算56

Gemini CLI

8.82%
按下载量换算25

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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