huashu-md-html

Design Community
Fluxly profile Facts only: domain, agents, trust score, runtime, permissions and network
Domain
Design
Compatible agents
  • Claude Code
  • Cursor
  • Cline
  • Codex
  • Windsurf
  • Gemini CLI
  • +20
Trust score
88 / 100 · community maintained
Author / version / license
@alchaincyf · no license declared
Token usage
Lean
Setup complexity
Guided setup
External API key
Required · OpenAI
Operating systems
macOS
Runtime requirements
Python
Permissions
  • Read-only
  • Write / modify
Network behavior
External requests
Install commands
26 variants

Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.

Heads up: 未限定 allowed-tools,默认拥有全部工具权限。

Output preview huashu-md-html.preview
---
name: huashu-md-html
description: | 用户说什么 | 走哪个能力 | 用什么工具 | |------|------|------| | 「把这个PDF/DOCX/PPTX/XLSX/EPUB/图片/音频转成md」「import…
category: design
runtime: Python
---

# huashu-md-html output preview

## PART A: Task fit
- Use case: | 用户说什么 | 走哪个能力 | 用什么工具 | |------|------|------| | 「把这个PDF/DOCX/PPTX/XLSX/EPUB/图片/音频转成md」「import文档」 | 能力1:万物→md | scripts/anytomd.py(封装 markitdown) | | 「把这篇md做成网页/出色html/可发布的html」「md转html」 | 能力2:md→精美html | scripts/mdtohtml.py(封装 pandoc + 4模板) | requires OpenAI API key; runs on Python. Works with Claude Code, Cursor, Cline and 23 more..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “四个能力(决策树) / URL 场景的进一步分流(2026-05 实测发现) / 核心审美底线(继承自 huashu-design)” and do not present inference as author intent.

## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “| 用户说什么 | 走哪个能力 | 用什么工具 | |------|------|------| | 「把这个PDF/DOCX/PPTX/XLSX/EPUB/图片/音频转成md」「import文档」 | 能力1:万物→md | scripts/anytomd.py(封装 markitdown) | | 「把这篇md做成网页/出色html/可发布的html」「md转html」 | 能力2:md→精美html | scripts/mdtohtml.py(封装 pandoc + 4模板) | requires OpenAI API key; runs on Python. Works with Claude Code, Cursor, Cline and 23 more.”.
- **02** When the source has headings, the agent prioritizes “四个能力(决策树) / URL 场景的进一步分流(2026-05 实测发现) / 核心审美底线(继承自 huashu-design)” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files; may access external network resources; requires OpenAI API keys.

## Running Rules
- read files, write/modify files; may access external network resources; requires OpenAI API keys.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options.
Interpretation is structured for decision-making; original keeps the upstream SKILL.md unchanged.

Decide Fit First

  • Core job: | 用户说什么 | 走哪个能力 | 用什么工具 | |------|------|------| | 「把这个PDF/DOCX/PPTX/XLSX/EPUB/图片/音频转成md」「import文档」 | 能力1:万物→md | scripts/anytom…
  • Best fit: Use it when the task has reusable inputs, steps, and validation criteria rather than a one-off answer.
  • Avoid forcing it: If the source lacks commands, platform support, or external-service evidence, keep those fields unknown instead of guessing.

Design Intent

  • Structure: The skill is organized around “四个能力(决策树)”, “URL 场景的进一步分流(2026-05 实测发现)”, “核心审美底线(继承自 huashu-design)”, “Junior Designer 工作流”, showing how the author expects the agent to judge fit, collect context, and produce verifiable output.
  • Trigger evidence: Prioritize the author’s wording around when to use it, what context to collect, and what output shape to produce.
  • Evidence boundary: Author text states facts, repository files prove commands and paths, and Fluxly only adds fit, limits, and usage judgment.

How To Use It

  • Inputs: Provide target material, scope, expected result, forbidden changes, and validation method.
  • Invocation: Name huashu-md-html directly; if the source includes slash commands, start with the command and then add task context.
  • Validation: Start small and check whether the result follows “四个能力(决策树) / URL 场景的进一步分流(2026-05 实测发现) / 核心审美底线(继承自 huashu-design)” before expanding.

Boundaries And Review

  • Dependencies: Prepare OpenAI API keys before running a full task.
  • Permissions: Declared permissions include read / write; ask the agent to state file, command, and rollback boundaries before acting.
  • Quality bar: A useful result names the deliverable, evidence, and next action. Generic prose means the task needs tighter context.

Discussion

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