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nm-scribe-tech-tutorialnm 划线技术教程

Agent Skill

nm-scribe-tech-tutorial 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,878

周安装

160

GitHub Stars

公开资料未说明

下载量

1,267
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-tech-tutorial(nm 划线技术教程)
来源仓库:https://github.com/athola/nm-scribe-tech-tutorial
安装命令:
openclaw skills install nm-scribe-tech-tutorial
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-tech-tutorial

简介

规划和完善面向开发者的技术教程。

  • 适合新功能和复杂技术的教学材料。
  • 设计渐进式学习和实践练习环节。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • 需配置学习目标和技术栈要求。nm-scribe-tech-tutorial 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 注意区分基础概念和高级特性讲解。

SKILL.md

name
tech-tutorial
description
Plan, draft, and refine technical tutorials for developers
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.

Tech Tutorial

A good technical tutorial has one goal: move a reader from not knowing how to do something to being able to do it. That requires working code, concrete steps, and honest acknowledgment of where things go wrong. This skill guides you through outlining, drafting, and verifying a tutorial that meets that standard.

When To Use

  • Writing a getting-started guide for a library, CLI tool, or API
  • Creating a step-by-step walkthrough that readers follow at a terminal
  • Explaining a technical concept through a hands-on exercise
  • Producing a how-to that complements API reference documentation

When NOT To Use

  • Generating API reference docs (use scribe:doc-generator)
  • Cleaning up existing prose (use scribe:slop-detector)
  • Producing high-level architecture overviews without runnable steps
  • Writing conceptual essays without hands-on components

Methodology

Step 1: Scope and Audience

Before writing a single line, answer these questions:

  • Who is this for? (experience level, assumed prior knowledge)
  • What will they build or accomplish by the end?
  • What is the single prerequisite the reader must have installed?
  • What is explicitly out of scope?

Write these answers down as a header block in the draft. If you cannot answer the "what will they accomplish" question in one sentence, the scope is too broad.

Step 2: Outline

Load: @modules/outline-structure.md

Produce a section-by-section outline before drafting prose. Each section entry must include a one-line description of what the reader does or learns in that section. See the outline module for the standard section order and length targets per section type.

Step 3: Draft Code Examples First

Load: @modules/code-examples.md

Write the code before the prose. Each snippet must run against a real environment before it appears in the tutorial. Annotate only the non-obvious lines. See the code examples module for formatting and error-handling rules.

Step 4: Draft Prose Around the Code

Prose exists to explain what the code does and why. Follow these rules:

  • One paragraph per step: what to run, what it does, what to expect
  • State the expected output after each command block
  • Use second person ("you") consistently throughout
  • Do not narrate what the reader will do next; just present the next step

Step 5: Build Complexity Gradually

Load: @modules/progressive-complexity.md

Start with the minimal working example. Introduce variations and edge cases only after the baseline works. See the progressive complexity module for the layering rules and pacing guidance.

Step 6: Slop Check

After drafting, run:

Skill(scribe:slop-detector)

Fix all tier-1 findings before proceeding. Pay particular attention to:

  • Tier-1 vocabulary slop (see scribe:slop-detector word lists)
  • Tricolon adjective clusters ("fast, efficient, and reliable")
  • Participial tail-loading (sentences ending with ", enabling ...")

Step 7: Quality Gate

Verify the completed tutorial against this checklist:

  • [ ] All code blocks tested and produce the stated output
  • [ ] Prerequisites section lists exact versions where relevant
  • [ ] Every step states the expected result
  • [ ] Troubleshooting section covers at least two common failure modes
  • [ ] No tier-1 slop words
  • [ ] Em dash count is under 2 per 1000 words
  • [ ] Bullet ratio is under 40%
  • [ ] Line length wraps at 80 characters

Required TodoWrite Items

  1. tech-tutorial:scope-defined - Audience, goal, and out-of-scope noted
  2. tech-tutorial:outline-approved - Section outline confirmed
  3. tech-tutorial:code-tested - All snippets verified against a real env
  4. tech-tutorial:prose-drafted - Walkthrough text written
  5. tech-tutorial:slop-scanned - Slop detector passed
  6. tech-tutorial:quality-verified - Quality gate checklist cleared
  7. tech-tutorial:user-approved - Final approval received

Module Reference

  • See modules/outline-structure.md for section order and length targets
  • See modules/code-examples.md for snippet formatting and annotation rules
  • See modules/progressive-complexity.md for pacing and layering guidance

Integration with Other Skills

SkillWhen to Use
scribe:slop-detectorAfter drafting, before approval
scribe:doc-generatorFor companion API reference sections
scribe:style-learnerTo match an existing tutorial voice

Exit Criteria

  • Tutorial outline confirmed before drafting begins
  • All code snippets tested in a real environment
  • Slop score below 1.5 (clean)
  • Quality gate checklist passed
  • User approval received

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

77.4%
按下载量换算981

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install nm-scribe-tech-tutorial 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。

来源信息

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