add_platform.add_capabilities

Update DeepWork job schema and adapters for new platform hooks.

49|3|Updated Jan 11, 2026
One-click install
npx skills add https://github.com/Unsupervisedcom/deepwork --skill add-platform-add-capabilities
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: add_platform.add_capabilities
Source: https://github.com/Unsupervisedcom/deepwork/tree/main/.claude/skills/add_platform.add_capabilities
Command: npx skills add https://github.com/Unsupervisedcom/deepwork --skill add-platform-add-capabilities

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables DeepWork to extend its internal hook system by updating the job schema and adapters to accommodate new platform capabilities discovered during research.

Core Features & Use Cases

  • Automatically surface and integrate new platform hooks into the existing DeepWork framework.
  • Ensure all adapters expose consistent hook fields for cross-platform automation.

Quick Start

After completing the integrate research step, run the add_capabilities skill to update job_schema.py and adapters.py, then run the verification steps to ensure syntax and tests pass.

Frequently Asked Questions about add_platform.add_capabilities

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I add new platform hook events to DeepWork adapters?

To add new platform hook events to DeepWork adapters, you run the capabilities integration workflow to update the shared job schema and platform adapters, ensuring new hooks are consistently implemented across all adapters.

What is a job schema in platform integration?

A job schema in platform integration is a shared definition in DeepWork that standardizes hook events and slash commands across different platform adapters, ensuring consistent cross-platform automation and capability exposure.

How do I update the job schema and adapters after platform research?

To update the job schema and adapters after platform research, consult the platform hooks system documentation, modify the job_schema.py and adapters.py files, and run code syntax checks to verify the integration.

Does DeepWork require documentation before extending hook support for new platforms?

Yes, extending DeepWork hook support requires consulting the platform-specific hooks system documentation to ensure the job schema and adapters accurately reflect the newly exposed platform capabilities and slash commands.

When should I update platform adapters for new hook events?

You should update platform adapters for new hook events during the integrate workflow after completing platform research, ensuring all adapters expose consistent hook fields for the latest slash command definitions.

Why are syntax checks needed after modifying the DeepWork codebase?

Syntax checks are needed after modifying the DeepWork codebase to verify that updates to the job schema and adapters do not introduce errors, ensuring the new hook integrations function correctly across all adapters.