add_platform.research
Captures CLI configuration and hooks system documentation for the new platform. Use when starting platform integration.
Best use case
add_platform.research is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Captures CLI configuration and hooks system documentation for the new platform. Use when starting platform integration.
Teams using add_platform.research 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-research/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How add_platform.research Compares
| Feature / Agent | add_platform.research | 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?
Captures CLI configuration and hooks system documentation for the new platform. Use when starting platform integration.
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.
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SKILL.md Source
# add_platform.research **Step 1/4** in **integrate** workflow > Full workflow to integrate a new AI platform into DeepWork > Adds a new AI platform to DeepWork with adapter, templates, and tests. Use when integrating Cursor, Windsurf, or other AI coding tools. ## Instructions **Goal**: Captures CLI configuration and hooks system documentation for the new platform. Use when starting platform integration. # Research Platform Documentation ## Objective Capture comprehensive documentation for the new AI platform's CLI configuration and hooks system, creating a local reference that will guide the implementation phases. ## Task Research the target platform's official documentation and create two focused documentation files that will serve as the foundation for implementing platform support in DeepWork. ### Process 1. **Identify the platform's documentation sources** - Find the official documentation website - Locate the CLI/agent configuration documentation - Find the hooks or customization system documentation - Note: Focus ONLY on slash command/custom command hooks, not general CLI hooks 2. **Gather CLI configuration documentation** - How is the CLI configured? (config files, environment variables, etc.) - Where are custom commands/skills stored? - What is the command file format? (markdown, YAML, etc.) - What metadata or frontmatter is supported? - How does the platform discover and load commands? 3. **Gather hooks system documentation** - What hooks are available for custom command definitions? - Focus on hooks that trigger during or after command execution - Examples: `stop_hooks`, `pre_hooks`, `post_hooks`, validation hooks - Document the syntax and available hook types - **Important**: Only document hooks available on slash command definitions, not general CLI hooks 4. **Create the documentation files** - Place files in `doc/platforms/<platform_name>/` - Each file must have a header comment with source and date - Content should be comprehensive but focused ## Output Format ### cli_configuration.md Located at: `doc/platforms/<platform_name>/cli_configuration.md` **Structure**: ```markdown <!-- Last Updated: YYYY-MM-DD Source: [URL where this documentation was obtained] --> # <Platform Name> CLI Configuration ## Overview [Brief description of the platform and its CLI/agent system] ## Configuration Files [Document where configuration lives and its format] ### File Locations - [Location 1]: [Purpose] - [Location 2]: [Purpose] ### Configuration Format [Show the configuration file format with examples] ## Custom Commands/Skills [Document how custom commands are defined] ### Command Location [Where command files are stored] ### Command File Format [The format of command files - markdown, YAML, etc.] ### Metadata/Frontmatter [What metadata fields are supported in command files] ```[format] [Example of a minimal command file] ``` ## Command Discovery [How the platform discovers and loads commands] ## Platform-Specific Features [Any unique features relevant to command configuration] ``` ### hooks_system.md Located at: `doc/platforms/<platform_name>/hooks_system.md` **Structure**: ```markdown <!-- Last Updated: YYYY-MM-DD Source: [URL where this documentation was obtained] --> # <Platform Name> Hooks System (Command Definitions) ## Overview [Brief description of hooks available for command definitions] **Important**: This document covers ONLY hooks available within slash command/skill definitions, not general CLI hooks. ## Available Hooks ### [Hook Name 1] **Purpose**: [What this hook does] **Syntax**: ```yaml [hook_name]: - [configuration] ``` **Example**: ```yaml [Complete example of using this hook] ``` **Behavior**: [When and how this hook executes] ### [Hook Name 2] [Repeat for each available hook] ## Hook Execution Order [Document the order in which hooks execute, if multiple are supported] ## Comparison with Other Platforms | Feature | <Platform> | Claude Code | Other | |---------|-----------|-------------|-------| | [Feature 1] | [Support] | [Support] | [Support] | ## Limitations [Any limitations or caveats about the hooks system] ``` ## Quality Criteria - Both files exist in `doc/platforms/<platform_name>/` - Each file has a header comment with: - Last updated date (YYYY-MM-DD format) - Source URL where documentation was obtained - `cli_configuration.md` comprehensively covers: - Configuration file locations and format - Custom command file format and location - Command discovery mechanism - `hooks_system.md` comprehensively covers: - All hooks available for slash command definitions - Syntax and examples for each hook - NOT general CLI hooks (only command-level hooks) - Documentation is detailed enough to implement the platform adapter - No extraneous topics (only CLI config and command hooks) - When all criteria are met, include `<promise>✓ Quality Criteria Met</promise>` in your response ## Context This is the foundation step for adding a new platform to DeepWork. The documentation you capture here will be referenced throughout the implementation process: - CLI configuration informs how to generate command files - Hooks documentation determines what features the adapter needs to support - This documentation becomes a permanent reference in `doc/platforms/` Take time to be thorough - incomplete documentation will slow down subsequent steps. ## Tips - Use the platform's official documentation as the primary source - If documentation is sparse, check GitHub repos, community guides, or changelog entries - When in doubt about whether something is a "command hook" vs "CLI hook", err on the side of inclusion and note the ambiguity - Include code examples from the official docs where available ### Job Context 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 ## Required Inputs **User Parameters** - Gather from user before starting: - **platform_name**: Clear identifier of the platform (e.g., 'cursor', 'windsurf-editor', 'github-copilot-chat') ## Work Branch Use branch format: `deepwork/add_platform-[instance]-YYYYMMDD` - If on a matching work branch: continue using it - If on main/master: create new branch with `git checkout -b deepwork/add_platform-[instance]-$(date +%Y%m%d)` ## Outputs **Required outputs**: - `cli_configuration.md` - `hooks_system.md` ## Guardrails - Do NOT skip prerequisite verification if this step has dependencies - Do NOT produce partial outputs; complete all required outputs before finishing - Do NOT proceed without required inputs; ask the user if any are missing - Do NOT modify files outside the scope of this step's defined outputs ## On Completion 1. Verify outputs are created 2. Inform user: "integrate step 1/4 complete, outputs: cli_configuration.md, hooks_system.md" 3. **Continue workflow**: Use Skill tool to invoke `/add_platform.add_capabilities` --- **Reference files**: `.deepwork/jobs/add_platform/job.yml`, `.deepwork/jobs/add_platform/steps/research.md`
Related Skills
add_platform
Adds a new AI platform to DeepWork with adapter, templates, and tests. Use when integrating Cursor, Windsurf, or other AI coding tools.
add_platform.verify
Sets up platform directories and verifies deepwork install works correctly. Use after implementation to confirm integration.
add_platform.implement
Creates platform adapter, templates, tests with 100% coverage, and README documentation. Use after adding hook capabilities.
add_platform.add_capabilities
Updates job schema and adapters with any new hook events the platform supports. Use after research to extend DeepWork's hook system.
Academic Researcher
Academic paper search across 14+ scholarly platforms including arXiv, PubMed, Google Scholar, Web of Science, Semantic Scholar, Sci-Hub, and more. Use for literature review, research discovery, and citation management.
academic-research
Systematic academic literature search with source prioritization and APA 7th edition citations. Use when the user needs to research a topic with scholarly sources, verify claims with academic backing, find peer-reviewed evidence, compile research findings, or generate properly cited reports. Triggers: "research [topic]", "what does the research say about...", "find studies on...", "verify this claim...", "literature review", "academic sources for...", "peer-reviewed evidence", "scholarly articles about...", "evidence-based", "cite sources for...". This skill provides basic APA citation capabilities; for advanced citation work (complex source types, edge cases, batch formatting), consider the `apa-style-citation` skill which offers enhanced citation expertise.
academic-research-writing
Use when writing CS research papers (conference, journal, thesis), reviewing scientific manuscripts, improving academic writing clarity, or preparing IEEE/ACM submissions. Invoke when user mentions paper, manuscript, research writing, journal submission, or needs help with academic structure, formatting, or revision.
academic-research-writer
Write academic research documents following academic guidelines with peer-reviewed sources from Google Scholar and other academic databases. Always verify source credibility and generate IEEE standard references. Use for research papers, literature reviews, technical reports, theses, dissertations, conference papers, and academic proposals requiring proper citations and scholarly rigor.
academic-benchmark-researcher
When the user requests information about academic benchmarks, datasets, or research papers, particularly in machine learning, deep learning, or logical reasoning domains. This skill enables systematic research of academic benchmarks by searching web sources, downloading and analyzing arXiv papers, extracting key metadata (number of tasks, training availability, difficulty levels), and compiling comparative summaries. It triggers on requests involving dataset comparisons, benchmark analysis, or academic paper research for table creation.
lead-research-assistant
Researches and identifies potential customers, leads, and business opportunities for your product or service. Analyzes your offering, finds relevant companies and decision makers, provides contact information, and suggests outreach strategies. Use when looking for leads, researching target customers, identifying decision makers, or planning sales outreach.
content-research-writer
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.
21-understand-research-150
[21] UNDERSTAND. Deep research workflow for this project using 150% scope (100% core + 50% boundary), evidence-based reasoning, and structured investigation notes. Use when the task requires investigation, root-cause analysis, or mapping unknown areas. Always maintain a research log file that captures findings, hypotheses, and next branches; use web.run when external verification is needed.