add_platform
Adds a new AI platform to DeepWork with adapter, templates, and tests. Use when integrating Cursor, Windsurf, or other AI coding tools.
Best use case
add_platform is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Adds a new AI platform to DeepWork with adapter, templates, and tests. Use when integrating Cursor, Windsurf, or other AI coding tools.
Teams using add_platform should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/add-platform/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How add_platform Compares
| Feature / Agent | add_platform | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Adds a new AI platform to DeepWork with adapter, templates, and tests. Use when integrating Cursor, Windsurf, or other AI coding tools.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# add_platform 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. The **integrate** workflow 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 ## Workflows ### integrate Full workflow to integrate a new AI platform into DeepWork **Steps in order**: 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. 3. **implement** - Creates platform adapter, templates, tests with 100% coverage, and README documentation. Use after adding hook capabilities. 4. **verify** - Sets up platform directories and verifies deepwork install works correctly. Use after implementation to confirm integration. **Start workflow**: `/add_platform.research` ## Execution Instructions ### Step 1: Analyze Intent Parse any text following `/add_platform` to determine user intent: - "integrate" or related terms → start integrate workflow at `add_platform.research` ### 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 workflow sequence 2. Invoke the next step using the Skill tool 3. Repeat until workflow is complete or user intervenes **Note**: Standalone skills do not auto-continue to other steps. ### Handling Ambiguous Intent If user intent is unclear, use AskUserQuestion to clarify: - Present available workflows and standalone skills as 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 a 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`
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Sets up platform directories and verifies deepwork install works correctly. Use after implementation to confirm integration.
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