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doc-architect建筑师博士

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

288

周安装

12

GitHub Stars

11

下载量

96
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:doc-architect(建筑师博士)
来源仓库:https://github.com/peterbamuhigire/skills-web-dev
仓库路径:skills/doc-architect
安装命令:
npx skills add https://github.com/peterbamuhigire/skills-web-dev --skill doc-architect
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/peterbamuhigire/skills-web-dev --skill doc-architect

简介

扫描项目技术栈与目录结构,生成标准化 AGENTS.md 文档。

  • 适用于项目文档体系初始化与 Agent 协作指南构建。
  • 自动识别数据目录与规划目录,输出可复用判断逻辑。
  • 需配合特定插件使用,仅限指定宿主环境运行。
  • doc-architect 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Platform Notes

  • Optional helper plugins may help in some environments, but they must not be treated as required for this skill.

Doc Architect

Use When

  • Generate Triple-Layer AGENTS.md documentation by scanning a project for its tech stack, data directory, and planning directory. Use when the user asks to standardize project documentation, generate agent files, or create AGENTS.md guides.
  • The task needs reusable judgment, domain constraints, or a proven workflow rather than ad hoc advice.

Do Not Use When

  • The task is unrelated to doc-architect or would be better handled by a more specific companion skill.
  • The request only needs a trivial answer and none of this skill's constraints or references materially help.

Required Inputs

  • Gather relevant project context, constraints, and the concrete problem to solve; load references, templates, protocols only as needed.
  • Confirm the desired deliverable: design, code, review, migration plan, audit, or documentation.

Workflow

  • Read this SKILL.md first, then load only the referenced deep-dive files that are necessary for the task.
  • Apply the ordered guidance, checklists, and decision rules in this skill instead of cherry-picking isolated snippets.
  • Produce the deliverable with assumptions, risks, and follow-up work made explicit when they matter.

Quality Standards

  • Keep outputs execution-oriented, concise, and aligned with the repository's baseline engineering standards.
  • Preserve compatibility with existing project conventions unless the skill explicitly requires a stronger standard.
  • Prefer deterministic, reviewable steps over vague advice or tool-specific magic.

Anti-Patterns

  • Treating examples as copy-paste truth without checking fit, constraints, or failure modes.
  • Loading every reference file by default instead of using progressive disclosure.

Outputs

  • A concrete result that fits the task: implementation guidance, review findings, architecture decisions, templates, or generated artifacts.
  • Clear assumptions, tradeoffs, or unresolved gaps when the task cannot be completed from available context alone.
  • References used, companion skills, or follow-up actions when they materially improve execution.

Evidence Produced

CategoryArtifactFormatExample
Release evidenceTriple-Layer AGENTS.md outputGenerated AGENTS.md covering project tech stack, data directory, and planning directory layersAGENTS.md

References

  • Use the references/ directory for deep detail after reading the core workflow below.
  • Use the templates/ directory when the task needs a structured deliverable.
  • Use the protocols/ directory for formal execution order or handoff rules.

Design and generate a portable Triple-Layer AGENTS.md documentation set that reflects the project’s real structure and constraints.

Modularize Instructions (Token Economy): Avoid consolidating all AI/dev guidance into a single CLAUDE.md. Prefer smaller, focused docs (e.g., docs/setup.md, docs/api.md, docs/workflows.md) and reference them only when needed.

Documentation Standards (MANDATORY): ALL generated markdown files must follow strict formatting rules:

  • 500-line hard limit - no exceptions for any.md file
  • Two-tier structure: High-level TOC (Tier 1) + Deep dive docs (Tier 2)
  • Smart subdirectory grouping for related documentation
  • See doc-standards.md for complete requirements

Core Outcome

Produce three aligned AGENTS.md files:

  • Root AGENTS.md: Project identity, tech stack, global standards
  • Data AGENTS.md: Data integrity rules and schema governance
  • Planning AGENTS.md: Spec-driven development workflow

Trigger Phrases

The skill should activate when the user asks to:

  • Standardize project documentation
  • Generate agent files

Standard Operating Procedure (SOP)

  1. Scan the workspace

- Inspect the root for identifiers (README, PROJECT_BRIEF, TECH_STACK, ARCHITECTURE, CLAUDE, package.json, composer.json, *.sln, pyproject.toml). - Locate likely data directories (database/, schema/, migrations/, sql/, db/). - Locate planning/documentation directories (docs/, docs/plans/, planning/, specs/). - Identify module/area entry points (menus, docs, feature folders) to group specs. - Note template conventions (public/ as web root, per-panel includes, API outside public).

  1. Identify the environment

- Determine primary language (PHP/C#/Python or other). - Determine DB type (MySQL/PostgreSQL/SQLite/SQL Server/other). - Determine deployment environment (Docker/Kubernetes/shared hosting/cloud).

  1. Set up plan grouping (first-time)

- Create docs/plans/<module>/ subdirectories for each discovered module/area. - Update docs/plans/AGENTS.md with the current module list. - Create or update docs/plans/INDEX.md as the master plan status index. - Ensure the index includes status, urgency, last implementation date, and last modification date. - Keep docs/plans/AGENTS.md updated whenever plans are added or their status changes. - Maintain a folder map at the top of docs/plans/AGENTS.md and update it when requested. - Note that developers can add new folders and update the list manually.

  1. Generate Triple-Layer docs

- Use the templates in templates/root-agents.md.template, templates/data-agents.md.template, and templates/plan-agents.md.template. - Populate with real findings and pull constraints from references/logic-library.md as needed. - Create files at: - Root: AGENTS.md at project root - Data: database/schema/AGENTS.md (or best-fit schema directory) - Planning: docs/plans/AGENTS.md (or best-fit planning directory)

Bundled Resources

Common Pitfalls

  • Do not invent tech stacks. Only infer from files found in the workspace.
  • Do not place AGENTS.md in arbitrary locations; follow the best-fit paths above.
  • Do not include contradictory rules across the three layers.

Quick Example

If a project uses Laravel + MySQL with docs/plans and database/schema:

  • Root: AGENTS.md → PHP/Laravel, MySQL, deployment standards
  • Data: database/schema/AGENTS.md → referential integrity, no-delete rules
  • Plans: docs/plans/AGENTS.md → spec.md format and workflow steps

Cross-References to SDLC Skills

When generating AGENTS.md files, be aware of the complete SDLC documentation ecosystem:

SDLC Documentation Skills

SkillPhaseDocuments GeneratedWhen to Reference
sdlc-planningPlanningVision, SDP, SRS, SCMP, QA Plan, Risk Plan, FeasibilityWhen plans directory contains SDLC planning docs
sdlc-designDesignSDD, Tech Spec, ICD, Database Design, API Docs, Code StandardsWhen referencing architecture and design decisions
sdlc-testingTestingTest Plan, Test Cases, V&V Plan, Test Report, Peer ReviewsWhen referencing testing and quality standards
sdlc-user-deployDeliveryUser Manual, Ops Guide, Training, Release Notes, Maintenance, READMEWhen referencing deployment and user documentation

Related Documentation Skills

SkillPurposeRelationship
project-requirementsRaw requirements interviewInput source for SDLC planning docs
feature-planningFeature-level specs + implementation plansStored in docs/plans/ (planning directory)
manual-guideEnd-user manuals and guidesStored in /manuals/ (separate from AGENTS.md)
update-claude-documentationKeep project docs (README, CLAUDE.md) updatedMaintains project-level docs after changes

SDLC Output Directory Structure

When scanning for documentation, expect this structure in projects using SDLC skills:

docs/
├── planning/        # sdlc-planning output (7 docs)
├── design/          # sdlc-design output (6 docs)
├── testing/         # sdlc-testing output (5 docs)
├── user-deploy/     # sdlc-user-deploy output (6 docs)
├── plans/           # feature-planning output
│   ├── AGENTS.md    # Plans directory index (doc-architect manages this)
│   ├── INDEX.md     # Plan status tracker
│   └── specs/       # Feature specifications
└── project-requirements/  # project-requirements output

Integration Rule: When generating the Planning AGENTS.md (docs/plans/AGENTS.md), include references to any SDLC documentation directories that exist alongside the plans directory.

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

35.73%
按下载量换算34

Claude

29.63%
按下载量换算28

Cursor

20.34%
按下载量换算20

Gemini CLI

9.73%
按下载量换算9

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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。

来源信息

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