Generate adapters, templates, and tests for new AI platforms in DeepWork.
npx skills add https://github.com/Unsupervisedcom/deepwork --skill add-platform
Please help me install this Agent Skill. Skill: add_platform Source: https://github.com/Unsupervisedcom/deepwork/tree/main/.claude/skills/add_platform Command: npx skills add https://github.com/Unsupervisedcom/deepwork --skill add-platform
This Skill provides a repeatable, end-to-end process for adding support for a new AI platform (like Cursor or Windsurf) to DeepWork, including adapters, templates, tests, and documentation.
Use the add_platform tool to begin the integration workflow with the research step via the Skill tool.
High-intent search queries and answers about installing and using this skill.
To add a new AI platform to DeepWork, you can use a four-phase integration workflow that automates research, capability addition, implementation, and verification to generate required adapters, templates, and tests.
Integrating AI platform adapters involves a structured workflow that updates job schemas, creates necessary templates, generates code scaffolding, and enforces 100% test coverage to ensure valid platform integration.
Yes, you can use automated templates to generate test suites for new platform integrations, ensuring that the newly added adapters and capabilities maintain strict quality standards and 100% test coverage.
No, adding a new coding platform does not require manual setup because the process automates adapter updates, template creation, and test generation across the entire platform integration workflow.
The best way to ensure 100% test coverage when adding platform support is to follow a four-phase workflow that includes a dedicated verification step to validate the installation path and test suites.
You need a research phase before implementing AI platform adapters to accurately add capabilities, ensuring the subsequent implementation and verification phases correctly update job schemas and generate valid templates.
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