AI Worker worker.md

md2wechat-skill

Markdown to WeChat CLI | 一键排版发布到微信公众号:支持 40+ 排版样式和专业主题 、AI 配图 、批量发布

Tool registry 2,243 stars Go NOASSERTION Worker-compatible

Source#

Tags#

agent-cliai-agentai-writingclaude-codeclaude-skillscli

Integration notes#

Repository is focused on tool/server interoperability; wrap in bounded worker contracts for production use.

worker.md example#

Starter worker.md contract mapped from this registry entry. Copy this file and adapt schemas, constraints, and statuses for your task.

---
id: md2wechat-skill-repo-derived-worker
name: md2wechat-skill Repo-Derived Worker
version: 1.0.0
source_registry_url: https://worker.md/registry/md2wechat-skill/
source_repository: https://github.com/geekjourneyx/md2wechat-skill
repository_default_branch: main
repository_language: Go
repository_license: NOASSERTION
repository_updated_at: 2026-05-17
worker_mode: agent-orchestration-worker
derivation_method: github_repository_metadata_plus_raw_readme
derivation_confidence: 0.95
derived_on: 2026-05-17
tags:
  - agent-cli
  - ai-agent
  - ai-writing
  - claude-code
  - claude-skills
  - cli
---

# md2wechat-skill Repo-Derived Worker

## Repo-derived summary
- Registry summary: Markdown to WeChat CLI | 一键排版发布到微信公众号:支持 40+ 排版样式和专业主题 、AI 配图 、批量发布
- Repository description: Markdown to WeChat CLI | 一键排版发布到微信公众号:支持 40+ 排版样式和专业主题 、AI 配图 、批量发布
- Stars (snapshot): 2,243
- Primary language: Go
- Worker mode classification: agent-orchestration-worker

## Extracted from
- https://github.com/geekjourneyx/md2wechat-skill
- https://github.com/geekjourneyx/md2wechat-skill/blob/main/README.md
- https://github.com/md2wechat/md2wechat-guide
- https://github.com/geekjourneyx/md2wechat-skill/issues

## Evidence notes (from repository text)
- README summary paragraph: 写 Markdown · 43 个高级排版模块 · 40+ 专业主题 · AI 配图 · 推送草稿箱 全流程 CLI,Agent-native — Claude Code · Codex · OpenClaw 原生支持
- 全流程 CLI,Agent-native — Claude Code · Codex · OpenClaw 原生支持
- [快速开始](#quickstart) · [高级排版](#layout) · [API 解锁](#api) · [Agent 支持](#coding-agent) · [常见问题](#faq)
- | **Agent 集成** | 无结构约定 | JSON envelope、capabilities 端点、discovery 命令 |
- 如果你想把上面的步骤直接发给 Agent 执行,见 [Agent 安装脚本](docs/INSTALL.md#agent-script)。
- 在 Coding Agent 或自动化脚本中,先执行 discovery 命令,不要靠猜:

## Installation hints found in README
- `npm install -g @geekjourneyx/md2wechat`

## worker.md contract (derived starter)
Purpose: Execute one orchestrated agent task as a bounded worker step.

### Input schema
```json
{
  "type": "object",
  "additionalProperties": false,
  "required": [
    "run_id",
    "task",
    "context"
  ],
  "properties": {
    "run_id": {
      "type": "string"
    },
    "task": {
      "type": "string"
    },
    "context": {
      "type": "object"
    }
  }
}
```

### Output schema
```json
{
  "type": "object",
  "additionalProperties": false,
  "required": [
    "run_id",
    "status",
    "result"
  ],
  "properties": {
    "run_id": {
      "type": "string"
    },
    "status": {
      "type": "string",
      "enum": [
        "ok",
        "retryable_error",
        "invalid_request",
        "invalid_output"
      ]
    },
    "result": {
      "type": "object"
    }
  }
}
```

### Constraints
- timeout_seconds: 30
- max_attempts: 2
- idempotency_key: run_id
- status_enum: [ok, retryable_error, invalid_request, invalid_output]
- notes: adapt to concrete APIs/classes documented in this repository before production use

## How this should be used
1. Treat this file as a repo-derived starter profile, not a claim of an official repository API contract.
2. Replace schemas with exact interfaces from code/docs you adopt.
3. Keep execution bounded and auditable using worker protocol constraints.

How to use#

  • Save this as a worker spec file (for example: md2wechat-skill-my-task.worker.md).
  • Replace the input/output schemas and purpose with your real bounded task.
  • Enforce schema validation + timeout + retry policy in your runtime before production use.

Citation#

Reference URL: https://worker.md/registry/md2wechat-skill/

Source URL: https://github.com/geekjourneyx/md2wechat-skill