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nm-scribe-doc-generatornm 划线文档生成器

Agent Skill

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。

总安装

3,792

周安装

158

GitHub Stars

公开资料未说明

下载量

1,264
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:nm-scribe-doc-generator(nm 划线文档生成器)
来源仓库:https://github.com/athola/nm-scribe-doc-generator
安装命令:
openclaw skills install nm-scribe-doc-generator
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install nm-scribe-doc-generator

简介

生成具有人类写作风格的技术文档。

  • 适合产品手册和开发者指南撰写。
  • 保持术语一致性和语气统一性。nm-scribe-doc-generator 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 需配置项目术语表和风格指南。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • 注意区分事实描述和技术推测。

SKILL.md

name
doc-generator
description
Generate or remediate documentation with human-quality writing and style
version
1.8.2
triggers
metadata
{"openclaw": {"homepage": "https://github.com/athola/claude-night-market/tree/master/plugins/scribe", "emoji": "\�\�", "requires": {"config": ["night-market.scribe:shared", "night-market.scribe:slop-detector"]}}}
source
claude-night-market
source_plugin
scribe
Night Market Skill — ported from claude-night-market/scribe. For the full experience with agents, hooks, and commands, install the Claude Code plugin.

Documentation Generator

Documentation must be grounded in specific claims rather than abstract adjectives. We avoid filler phrases like "In today's fast-paced world" and focus on delivering useful information directly. Each claim should be supported by evidence, such as specific version numbers or request rates, rather than vague descriptors like "comprehensive."

Core Writing Principles

We prioritize authorial perspective and active voice to maintain a consistent team tone. This involves explaining the reasoning behind technical choices, such as selecting one database over another, rather than providing neutral boilerplate. Bullets should be used sparingly for actionable summaries; multi-line bullet waterfalls should be converted to short paragraphs to preserve nuance.

Vocabulary and Style

Avoid business jargon and linguistic tics like mirrored sentence structures or excessive em dashes. We use the imperative mood for docstrings (e.g., "Validate input") and strictly avoid humanizing non-living constructs like code.

Instead ofUse
fallbackdefault, secondary
leverageuse
utilizeuse
facilitatehelp, enable
comprehensivethorough, complete

9. Limit Humanizing Constructs

"Lives under," "speaks to," and similar phrases only make sense for living things.

10. Imperative Mood for Docstrings

"Validate" not "Validates" (per PEP 257, pydocstyle, ruff).

Required TodoWrite Items

  1. doc-generator:scope-defined - Target files and type identified
  2. doc-generator:style-loaded - Style profile applied (if available)
  3. doc-generator:content-drafted - Initial content created
  4. doc-generator:slop-scanned - AI markers checked
  5. doc-generator:quality-verified - Principles checklist passed
  6. doc-generator:user-approved - Final approval received

Mode: Generation

For new documentation:

Step 1: Define Scope

## Generation Request

**Type**: [README/Guide/API docs/Tutorial]
**Audience**: [developers/users/admins]
**Length target**: [~X words or sections]
**Style profile**: [profile name or "default"]

Step 2: Load Style (if available)

If a style profile exists:

cat .scribe/style-profile.yaml

Apply voice, vocabulary, and structural guidelines.

Step 3: Draft Content

Follow the 10 core principles above. For each section:

  1. Start with the essential information
  2. Add context only if it adds value
  3. Use specific examples
  4. Prefer prose over bullets
  5. End when information is complete (no summary padding)

Step 4: Run Slop Detector

Skill(scribe:slop-detector)

Fix any findings before proceeding.

Step 5: Quality Gate

Verify against checklist:

  • [ ] No tier-1 slop words
  • [ ] Em dash count < 3 per 1000 words
  • [ ] Bullet ratio < 40%
  • [ ] All claims grounded with specifics
  • [ ] No formulaic openers or closers
  • [ ] Authorial perspective present
  • [ ] No emojis (unless explicitly requested)

Mode: Remediation

For cleaning up existing content:

Load: @modules/remediation-workflow.md

Step 1: Analyze Current State

# Get slop score
Skill(scribe:slop-detector) --target file.md

Step 2: Section-by-Section Approach

For large files (>200 lines), edit incrementally:

## Section: [Name] (Lines X-Y)

**Current slop score**: X.X
**Issues found**: [list]

**Proposed changes**:
1. [Change 1]
2. [Change 2]

**Before**:
> [current text]

**After**:
> [proposed text]

Proceed? [Y/n/edit]

Step 3: Preserve Intent

Never change WHAT is said, only HOW. If meaning is unclear, ask.

Step 4: Re-verify

After edits, re-run slop-detector to confirm improvement.

Docstring-Specific Rules

When editing code comments:

  1. ONLY modify docstring/comment text
  2. Never change surrounding code
  3. Use imperative mood ("Validate input" not "Validates input")
  4. Brief is better - remove filler
  5. Keep Args/Returns structure if present

Module Reference

  • See modules/generation-guidelines.md for content creation patterns
  • See modules/quality-gates.md for validation criteria

Integration with Other Skills

SkillWhen to Use
slop-detectorAfter drafting, before approval
style-learnerBefore generation to load profile
sanctum:doc-updatesFor broader doc maintenance

Exit Criteria

  • Content created or remediated
  • Slop score < 1.5 (clean rating)
  • Quality gate checklist passed
  • User approval received
  • No emojis present (unless specified)

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

93.53%
按下载量换算1,182

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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