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add-platform

Adds a new AI platform to DeepWork with adapter, templates, and tests. Use when integrating Cursor, Windsurf, or other AI coding tools.

Unsupervisedcom☆ 9 仓库 Stars1 仓库 Forks

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

查看来源 ↗使用指南

技能说明

add_platform

Multi-step workflow: Adds a new AI platform to DeepWork with adapter, templates, and tests. Use when integrating Cursor, Windsurf, or other AI coding tools.

CRITICAL: Always invoke steps using the Skill tool. Never copy/paste step instructions directly.

A workflow for adding support for a new AI platform (like Cursor, Windsurf, etc.) to DeepWork.

This job guides you through four phases:

  1. Research: Capture the platform's CLI configuration and hooks system documentation
  2. Add Capabilities: Update the job schema and adapters with any new hook events
  3. Implement: Create the platform adapter, templates, tests (100% coverage), and README updates
  4. Verify: Ensure installation works correctly and produces expected files

The workflow ensures consistency across all supported platforms and maintains comprehensive test coverage for new functionality.

Important Notes:

  • Only hooks available on slash command definitions should be captured
  • Each existing adapter must be updated when new hooks are added (typically with null values)
  • Tests must achieve 100% coverage for any new functionality
  • Installation verification confirms the platform integrates correctly with existing jobs

Available Steps

  1. research - Captures CLI configuration and hooks system documentation for the new platform. Use when starting platform integration.
  2. add_capabilities - Updates job schema and adapters with any new hook events the platform supports. Use after research to extend DeepWork's hook system. (requires: research)
  3. implement - Creates platform adapter, templates, tests with 100% coverage, and README documentation. Use after adding hook capabilities. (requires: research, add_capabilities)
  4. verify - Sets up platform directories and verifies deepwork install works correctly. Use after implementation to confirm integration. (requires: implement)

Execution Instructions

Step 1: Analyze Intent

Parse any text following /add_platform to determine user intent:

  • "research" or related terms → start at add_platform.research
  • "add_capabilities" or related terms → start at add_platform.add_capabilities
  • "implement" or related terms → start at add_platform.implement
  • "verify" or related terms → start at add_platform.verify
Step 2: Invoke Starting Step

Use the Skill tool to invoke the identified starting step:

Skill tool: add_platform.research
Step 3: Continue Workflow Automatically

After each step completes:

  1. Check if there's a next step in the sequence
  2. Invoke the next step using the Skill tool
  3. Repeat until workflow is complete or user intervenes
Handling Ambiguous Intent

If user intent is unclear, use AskUserQuestion to clarify:

  • Present available steps as numbered options
  • Let user select the starting point

Guardrails

  • Do NOT copy/paste step instructions directly; always use the Skill tool to invoke steps
  • Do NOT skip steps in the workflow unless the user explicitly requests it
  • Do NOT proceed to the next step if the current step's outputs are incomplete
  • Do NOT make assumptions about user intent; ask for clarification when ambiguous

Context Files

  • Job definition: .deepwork/jobs/add_platform/job.yml

使用示例

查看来源仓库中的使用示例与配置说明。

查看来源 ↗

来源历史

收录时间
2026-01-20
索引更新时间
2026-02-05
Branch
main

收录与同步日期属于本站记录。源码修改历史请查看来源仓库。

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