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document-writer

Structured document generation: technical docs, API references, reports, and READMEs

ソース情報

リポジトリ
modelscope/leapflow
ソースの最終更新活動
2026年9月22日 14:28
検出された SKILL.md の言語
英語
スター
10
フォーク
6

インストール方法

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SKILL.md を表示中

SKILL.md
ソースの指示 · 読み取り専用プレビュー
name
document_writer
description
Structured document generation: technical docs, API references, reports, and READMEs
version
1.0.0
metadata
{"leapflow":{"category":"productivity","source":"builtin","confidence":1,"quality_score":1},"hermes":{"category":"productivity","tags":["documentation","technical-writing","README","report","API-docs"],"requires_tools":["file_read","file_write"]}}
platforms
[]
triggers
["write document","generate docs","create README","write report","写文档","生成文档","technical documentation","API documentation"]
# Document Writer ## Purpose Generate well-structured, audience-appropriate documents — technical documentation, API references, project READMEs, architecture decision records, runbooks, and reports. This skill treats documentation as a product: it must be correct, usable, and maintained like code. ## Guiding Principles 1. **Audience first** — Identify who will read the document and what they need to accomplish. An onboarding guide for new developers is not an API reference. 2. **Inverted pyramid** — Put the most important information first. Readers skim; the answer should be findable in 30 seconds. 3. **Show, don't tell** — Concrete examples beat abstract descriptions. Every non-trivial concept gets a code sample, diagram, or worked example. 4. **Single source of truth** — Documentation should live next to the code it describes. Cross-references over duplication. 5. **Evergreen writing** — Avoid dates, version-specific language, and "currently" phrasing that rots. Write for the next reader, not today's. ## Workflow ### Phase 1 — Analyze the Request Before generating any content, establish: 1. **Document type**: README, API reference, architecture doc, runbook, changelog, tutorial, or report. 2. **Audience**: end users, developers integrating an API, internal team members, or stakeholders. Determine technical depth. 3. **Scope**: what must be covered, what is explicitly out of scope. 4. **Existing documentation**: read relevant existing docs to avoid contradiction and find the right insertion point. 5. **Conventions**: check the project for documentation standards (file naming, heading style, admonition syntax, link format). ### Phase 2 — Structure the Document Choose a template based on the document type: **README**: ``` # Project Name > One-line description ## Quick Start ## Features ## Installation ## Usage ## Configuration ## Contributing ## License ``` **API Reference**: ``` # API Reference — <Service> ## Authentication ## Endpoints ### <Method> <Path> - Description - Parameters (table) - Request example - Response example - Error codes ## Rate Limits ## Changelog ``` **Architecture Decision Record (ADR)**: ``` # ADR-NNN: <Title> ## Status: <Proposed|Accepted|Deprecated|Superseded> ## Context ## Decision ## Consequences ## Alternatives Considered ``` **Runbook**: ``` # Runbook: <Procedure> ## Prerequisites ## Steps (numbered, with verification after each) ## Rollback ## Contacts ``` Adapt the template to fit the project; never force content into a section that adds no value. ### Phase 3 — Generate Content For each section: 1. Read the relevant source code, config files, or data with `file_read`. 2. Extract facts: function signatures, config keys, environment variables, error codes, dependencies. 3. Write prose that is: - **Concise**: one idea per paragraph, short sentences. - **Precise**: use the exact names from the codebase (no paraphrasing class names or API paths). - **Active voice**: "The server starts on port 8080" not "Port 8080 is used by the server for starting." 4. Add **code examples** for every usage pattern. Examples must be runnable and syntactically correct. 5. Use **tables** for structured data (parameters, config keys, error codes). 6. Use **admonitions** (note, warning, tip) sparingly for critical information that readers must not miss. ### Phase 4 — Quality Check Before delivering: - **Accuracy**: do code examples actually work? Do file paths exist? - **Completeness**: does every public API, config option, or workflow step appear? - **Consistency**: are heading levels, list styles, and code fence languages uniform throughout? - **Links**: are all cross-references valid? No broken relative paths. - **Spelling and grammar**: proofread, especially proper nouns and technical terms. Write the final document to the appropriate file with `file_write`. ## Error Handling | Situation | Action | |---|---| | Source code is too complex to fully document | Focus on the public API surface; note internal details as out of scope. | | Existing docs contradict the code | Trust the code. Update the docs and flag the discrepancy to the user. | | No clear project conventions | Default to CommonMark, ATX headings, fenced code blocks, and sentence-case headings. | | User requests a format you cannot render (PDF, Confluence) | Generate Markdown and advise on conversion tools (pandoc, markdown-to-confluence). | ## Limitations - This skill generates Markdown (or plain text) documents. Rich formats (PDF, DOCX, HTML) require external conversion. - Diagram generation is descriptive (Mermaid code blocks); rendering depends on the viewer. - Accuracy depends on reading the codebase; if source files are inaccessible, the document will have gaps.
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