feat: omnibox

.claude/commands/commit.md

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+# Commit Changes
+
+You are tasked with creating git commits for the changes made during this session.
+
+## Process:
+
+1. **Think about what changed:**
+   - Review the conversation history and understand what was accomplished
+   - Run `git status` to see current changes
+   - Run `git diff` to understand the modifications
+   - Consider whether changes should be one commit or multiple logical commits
+
+2. **Plan your commit(s):**
+   - Identify which files belong together
+   - Draft clear, descriptive commit messages
+   - Use imperative mood in commit messages
+   - Focus on why the changes were made, not just what
+
+3. **Present your plan to the user:**
+   - List the files you plan to add for each commit
+   - Show the commit message(s) you'll use
+   - Ask: "I plan to create [N] commit(s) with these changes. Shall I proceed?"
+
+4. **Execute upon confirmation:**
+   - Use `git add` with specific files (never use `-A` or `.`)
+   - Create commits with your planned messages
+   - Show the result with `git log --oneline -n [number]`
+
+## Important:
+
+- **NEVER add co-author information or Claude attribution**
+- Commits should be authored solely by the user
+- Do not include any "Generated with Claude" messages
+- Do not add "Co-Authored-By" lines
+- Write commit messages as if the user wrote them
+
+## Remember:
+
+- You have the full context of what was done in this session
+- Group related changes together
+- Keep commits focused and atomic when possible
+- The user trusts your judgment - they asked you to commit

.claude/commands/learn.md

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+# Research Codebase
+
+You are tasked with conducting comprehensive research across the codebase to answer user questions by spawning parallel sub-agents and synthesizing their findings.
+
+## Initial Setup:
+
+When this command is invoked, respond with:
+
+```
+I'm ready to research the codebase. Please provide your research question or area of interest, and I'll analyze it thoroughly by exploring relevant components and connections.
+```
+
+Then wait for the user's research query.
+
+## Steps to follow after receiving the research query:
+
+1. **Read any directly mentioned files first:**
+   - If the user mentions specific files (tickets, docs, JSON), read them FULLY first
+   - **IMPORTANT**: Use the Read tool WITHOUT limit/offset parameters to read entire files
+   - **CRITICAL**: Read these files yourself in the main context before spawning any sub-tasks
+   - This ensures you have full context before decomposing the research
+
+2. **Analyze and decompose the research question:**
+   - Break down the user's query into composable research areas
+   - Identify specific components, patterns, or concepts to investigate
+   - Create a research plan using TodoWrite to track all subtasks
+   - Consider which directories, files, or architectural patterns are relevant
+
+3. **Spawn parallel sub-agent tasks for comprehensive research:**
+   - Create multiple Task agents to research different aspects concurrently
+   - Always include these parallel tasks:
+     - **Codebase exploration tasks** (one for each relevant component/directory)
+   - Each codebase sub-agent should focus on a specific directory, component, or question
+   - Write detailed prompts for each sub-agent following these guidelines:
+     - Instruct them to use READ-ONLY tools (Read, Grep, Glob, LS)
+     - Ask for specific file paths and line numbers
+     - Request they identify connections between components
+     - Have them note architectural patterns and conventions
+     - Ask them to find examples of usage or implementation
+   - Example codebase sub-agent prompt:
+     ```
+     Research [specific component/pattern] in [directory/module]:
+     1. Find all files related to [topic]
+     2. Identify how [concept] is implemented (include file:line references)
+     3. Look for connections to [related components]
+     4. Find examples of usage in [relevant areas]
+     5. Note any patterns or conventions used
+     Return: File paths, line numbers, and concise explanations of findings
+     ```
+
+4. **Wait for all sub-agents to complete and synthesize findings:**
+   - IMPORTANT: Wait for ALL sub-agent tasks to complete before proceeding
+   - Prioritize live codebase findings as primary source of truth
+   - Connect findings across different components
+   - Include specific file paths and line numbers for reference
+   - Highlight patterns, connections, and architectural decisions
+   - Answer the user's specific questions with concrete evidence
+
+5. **Gather metadata for the research document:**
+   - Get current date and time with timezone: `date '+%Y-%m-%d %H:%M:%S %Z'`
+   - Get git commit from repository root: `cd $(git rev-parse --show-toplevel) && git log -1 --format=%H`
+   - Get current branch: `git branch --show-current`
+   - Get repository name: `basename $(git rev-parse --show-toplevel)`
+   - Create timestamp-based filename using date without timezone: `date '+%Y-%m-%d_%H-%M-%S'`
+
+6. **Generate research document:**
+   - Use the metadata gathered in step 4
+   - Structure the document with YAML frontmatter followed by content:
+
+     ```markdown
+     ---
+     date: [Current date and time with timezone in ISO format]
+     git_commit: [Current commit hash]
+     branch: [Current branch name]
+     repository: [Repository name]
+     topic: "[User's Question/Topic]"
+     tags: [research, codebase, relevant-component-names]
+     status: complete
+     last_updated: [Current date in YYYY-MM-DD format]
+     last_updated_by: [Researcher name]
+     ---
+
+     # Research: [User's Question/Topic]
+
+     **Date**: [Current date and time with timezone from step 4]
+     **Git Commit**: [Current commit hash from step 4]
+     **Branch**: [Current branch name from step 4]
+     **Repository**: [Repository name]
+
+     ## Research Question
+
+     [Original user query]
+
+     ## Summary
+
+     [High-level findings answering the user's question]
+
+     ## Detailed Findings
+
+     ### [Component/Area 1]
+
+     - Finding with reference ([file.ext:line](link))
+     - Connection to other components
+     - Implementation details
+
+     ### [Component/Area 2]
+
+     ...
+
+     ## Code References
+
+     - `path/to/file.py:123` - Description of what's there
+     - `another/file.ts:45-67` - Description of the code block
+
+     ## Architecture Insights
+
+     [Patterns, conventions, and design decisions discovered]
+
+     ## Open Questions
+
+     [Any areas that need further investigation]
+     ```
+
+7. **Add GitHub permalinks (if applicable):**
+   - Check if on main branch or if commit is pushed: `git branch --show-current` and `git status`
+   - If on main/master or pushed, generate GitHub permalinks:
+     - Get repo info: `gh repo view --json owner,name`
+     - Create permalinks: `https://github.com/{owner}/{repo}/blob/{commit}/{file}#L{line}`
+   - Replace local file references with permalinks in the document
+
+8. **Sync and present findings:**
+   - Present a concise summary of findings to the user
+   - Include key file references for easy navigation
+   - Ask if they have follow-up questions or need clarification
+
+9. **Handle follow-up questions:**
+   - If the user has follow-up questions, append to the same research document
+   - Update the frontmatter fields `last_updated` and `last_updated_by` to reflect the update
+   - Add `last_updated_note: "Added follow-up research for [brief description]"` to frontmatter
+   - Add a new section: `## Follow-up Research [timestamp]`
+   - Spawn new sub-agents as needed for additional investigation
+   - Continue updating the document and syncing
+
+## Important notes:
+
+- Always use parallel Task agents to maximize efficiency and minimize context usage
+- Always run fresh codebase research - never rely solely on existing research documents
+- Focus on finding concrete file paths and line numbers for developer reference
+- Research documents should be self-contained with all necessary context
+- Each sub-agent prompt should be specific and focused on read-only operations
+- Consider cross-component connections and architectural patterns
+- Include temporal context (when the research was conducted)
+- Link to GitHub when possible for permanent references
+- Keep the main agent focused on synthesis, not deep file reading
+- Encourage sub-agents to find examples and usage patterns, not just definitions
+- **File reading**: Always read mentioned files FULLY (no limit/offset) before spawning sub-tasks
+- **Critical ordering**: Follow the numbered steps exactly
+  - ALWAYS read mentioned files first before spawning sub-tasks (step 1)
+  - ALWAYS wait for all sub-agents to complete before synthesizing (step 4)
+  - ALWAYS gather metadata before writing the document (step 5 before step 6)
+  - NEVER write the research document with placeholder values
+  - This ensures paths are correct for editing and navigation
+- **Frontmatter consistency**:
+  - Always include frontmatter at the beginning of research documents
+  - Keep frontmatter fields consistent across all research documents
+  - Update frontmatter when adding follow-up research
+  - Use snake_case for multi-word field names (e.g., `last_updated`, `git_commit`)
+  - Tags should be relevant to the research topic and components studied