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technical-writer技术作家

Agent Skill

technical-writer 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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

188

周安装

8

GitHub Stars

1

下载量

66
CodexClaudeCursorGemini CLI

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

unknown

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:technical-writer(技术作家)
来源仓库:https://github.com/hungv47/prod-skills
仓库路径:skills/technical-writer
安装命令:
npx skills add https://github.com/hungv47/prod-skills --skill technical-writer
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/hungv47/prod-skills --skill technical-writer

简介

用于查找、检索和筛选相关信息,支持基于关键词定位内容。

  • 适用于需要快速筛选候选结果的场景。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。
  • 可通过 GitHub 仓库路径和技能名称进行安装。
  • 使用前需确认权限范围及是否触发网络或文件操作。
  • technical-writer 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Technical Writer — Orchestrator

*Productivity — Multi-agent orchestration. Scans a codebase and produces clear, structured documentation that new users can follow without reading source code.*

Core Question: "Could a new team member understand this without asking anyone?"

Inputs Required

  • A codebase or project to document
  • (Optional) Target audience — developer, end-user, operator, or mixed
  • (Optional) Documentation type — README, User Guide, API Reference, or Configuration Guide

Output

  • Documentation artifact saved to project root or specified location (e.g., docs/, README.md)

Chain Position

Previous: none | Next: none (standalone)

Pairs well with: system-architecture (for architecture docs), task-breakdown (for contributor guides)

Re-run triggers: After PRs that modify environment variables, API routes, or configuration. After major version releases. When new features ship without documentation updates.


Multi-Agent Architecture

Agent Roster

AgentFileFocus
scanner-agentagents/scanner-agent.mdMaps project structure, file importance ranking, existing docs inventory
concept-extractor-agentagents/concept-extractor-agent.mdReads key files, extracts features, setup requirements, error patterns
audience-profiler-agentagents/audience-profiler-agent.mdIdentifies audience, calibrates vocabulary and depth
writer-agentagents/writer-agent.mdWrites the documentation from extracted concepts for the profiled audience
staleness-checker-agentagents/staleness-checker-agent.mdCompares documentation against current codebase for accuracy
critic-agentagents/critic-agent.mdQuality gate review, audience calibration check, staleness integration

Execution Layers

Layer 1 (parallel):
  scanner-agent ──────────────┐
  concept-extractor-agent ────┤── run simultaneously
  audience-profiler-agent ────┘

Layer 2 (sequential):
  writer-agent ────────────────── writes documentation from all Layer 1 outputs
    → staleness-checker-agent ─── verifies documentation matches codebase
      → critic-agent ──────────── final quality review

Dispatch Protocol

  1. Layer 1 dispatch — send brief to all three Layer 1 agents in parallel:

- scanner-agent maps the project and ranks files by importance - concept-extractor-agent reads ranked files and extracts documentation content - audience-profiler-agent determines who reads the docs and how to write for them

  1. Writer dispatch — send all Layer 1 outputs to writer-agent. It produces the documentation following references/doc-template.md, calibrated for the audience.
  2. Staleness check — send writer output + codebase facts to staleness-checker-agent. It verifies every claim in the docs matches the current codebase.
  3. Critic review — send documentation + staleness results to critic-agent.
  4. Revision loop — if critic returns FAIL, re-dispatch affected agents. Maximum 2 rounds.
  5. Save — write documentation to project root or specified location.

Routing Rules

ConditionRoute
User specifies audienceaudience-profiler-agent uses it directly (no inference needed)
User says "document this" (no type)audience-profiler defaults to User Guide (developers) or README (library)
User says "audit docs"Skip writer-agent; run scanner → staleness-checker → critic directly
Monorepo detectedscanner-agent identifies package boundaries; writer produces per-package docs
Critic PASSSave and deliver
Critic FAILRe-dispatch cited agents with feedback

Critical Gates

Before delivering, the critic-agent verifies ALL of these pass:

  • Every user-facing feature has a documentation section
  • Setup steps are numbered with expected outcomes after each step
  • A new user could follow Getting Started independently without reading source code
  • Code examples compile/run — no pseudocode unless explicitly labeled
  • Configuration options list defaults and valid values
  • Troubleshooting covers errors visible in the codebase's error handling

If any gate fails: the critic identifies which agent must fix it and the orchestrator re-dispatches.


Single-Agent Fallback

When context window is constrained or the project is small (fewer than 20 files):

  1. Skip multi-agent dispatch
  2. Scan project structure and identify key files using the 7-rank importance system
  3. Read 5-10 highest-ranked files
  4. Determine audience (developer, end-user, operator)
  5. Write documentation following references/doc-template.md
  6. Cross-check env vars, setup steps, and API endpoints against code
  7. Run Critical Gates as self-review
  8. Save to project root or specified location

Documentation Types

TypeAudienceFocusLength
READMEDevelopers discovering the projectWhat it does, quick start, contribution1-3 pages
User GuideEnd-users operating the productWorkflows, features, troubleshooting5-20 pages
API ReferenceDevelopers integratingEndpoints, parameters, responses, errorsVaries
Configuration GuideOperators deployingEnvironment vars, settings, infrastructure2-5 pages
Getting Started TutorialNew users of any typeSingle workflow, start to finish1-2 pages

Default to User Guide if the user says "document this" without specifying type.


File Importance Ranking (7 Ranks)

The scanner-agent ranks files by documentation value:

RankFile TypeWhat It RevealsPriority
1Entry points (main.*, index.*, app.*)App initialization, core structureRead first
2Route/endpoint definitionsFeature surface areaRead second
3Config/env filesSetup requirements, feature flagsRead third
4Models/Types/SchemasCore data entities, relationshipsRead for depth
5Components/ViewsUI structure, user interactionsRead for UX docs
6Middleware/InterceptorsAuth, logging, error handlingRead for ops docs
7Migration filesData model evolution, schema requirementsSkim for setup

3 Audience Types

AudienceVocabularyCode ExamplesAssumed Knowledge
End-userPlain language, no jargonOnly CLI commands they runCan install software, use a browser
DeveloperTechnical terms, API vocabularyRequest/response samples, code snippetsCan read code, use package managers
OperatorInfrastructure terminologyConfig files, deployment commandsUnderstands networking, servers, CI/CD

Documentation Audit Mode

Trigger when asked to "audit docs", "check documentation", or "are docs up to date."

In audit mode, the orchestrator skips the writer-agent and runs:

  1. scanner-agent — inventory all documentation files
  2. staleness-checker-agent — compare each doc against current codebase
  3. critic-agent — report findings with priority (security-relevant > setup > architecture > everything else)

Prioritize: auth docs and env var docs being stale is a security risk.


Anti-Patterns

Anti-PatternProblemINSTEAD
Restating code as prose"handleSubmit handles form submission" adds nothingwriter-agent describes user experience, not internal code
Missing prerequisitesUser stuck at step 3 because step 0 was assumedconcept-extractor lists every dependency and version
Wall of textUsers scan, not read — long paragraphs get skippedwriter-agent uses tables, numbered lists, headers
Outdated screenshotsScreenshots rot faster than textwriter-agent prefers text descriptions of UI elements
Documenting internalsUsers don't care about ORM layerwriter-agent documents behavior and interfaces
"See code for details"Defeats purpose of documentationconcept-extractor extracts the relevant detail
Stale docs shipped as currentActively mislead usersstaleness-checker verifies every claim against codebase

Worked Example

User: "Document this project" (a Node.js REST API for task management)

Layer 1 (parallel):

  • scanner-agent → maps project: src/index.ts, src/routes/, src/models/, prisma/schema.prisma, package.json,.env.example. Existing README is stale (references Node 16, project uses Node 18).
  • concept-extractor-agent → reads ranked files: Express app with JWT auth, task CRUD with status workflow (todo→in-progress→done), team assignment, email notifications. Errors: 401 expired token, 403 cross-team access, 422 invalid status transition.
  • audience-profiler-agent → Developer audience (API consumers). Recommended type: README + API Reference.

Layer 2 (sequential):

  • writer-agent → writes README with Getting Started (5 numbered steps), API Reference, Configuration table, Troubleshooting section
  • staleness-checker-agent → flags: Node version in setup (docs say 16, code needs 18), missing SMTP_PORT env var (in code but not documented)
  • critic-agent → FAIL: 2 staleness issues must be fixed

Revision: writer-agent updates Node version and adds SMTP_PORT. Critic → PASS.

Artifact saved to README.md.


Before Starting

Step 0: Product Context

Check for existing context files: README.md, CLAUDE.md, .agents/product-context.md, package.json#description. Read all available context before scanning code.

Optional Artifacts

ArtifactSourceBenefit
product-context.mdicp-research (from hungv47/marketing-skills)Product positioning and audience already defined
system-architecture.mdsystem-architectureArchitecture decisions pre-mapped
.agents/design/brand-system.mdbrand-system (from hungv47/marketing-skills)Brand voice and terminology guidelines

Artifact Template

On re-run: rename existing artifact to [name].v[N].md and create new with incremented version.

---
skill: technical-writer
version: 1
date: {{today}}
status: draft
audience: [end-user | developer | operator | mixed]
doc-type: [readme | user-guide | api-reference | config-guide | tutorial]
---

References

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

32.95%
按下载量换算22

Claude

29.17%
按下载量换算19

Cursor

19.21%
按下载量换算13

Gemini CLI

9.62%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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