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Deep search mode - parallel multi-source search across codebase, docs, and web

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SKILL.md

name search
description Deep search mode - parallel multi-source search across codebase, docs, and web

DEEP SEARCH MODE

Current Time: !date

Execute a comprehensive search using parallel agent swarms across multiple sources.

Search Protocol

Layer 1: Local Codebase (Parallel)

Launch explore swarm with different angles:

background_task(agent="explore", prompt="Find [pattern] by filename...")
background_task(agent="explore", prompt="Find [pattern] in code content...")
background_task(agent="explore", prompt="Find related patterns and usages...")

Simultaneously use direct tools:

  • glob — Find files by name pattern
  • grep — Find content matches
  • ast_grep_search — Find structural patterns
  • lsp_find_references — Find symbol usages

Layer 2: External Research (Parallel)

Launch librarian for external sources:

background_task(agent="librarian", prompt="Find official docs for [topic]...")
background_task(agent="librarian", prompt="Find OSS examples of [pattern]...")

Librarian searches:

  • Context7 — Official library documentation
  • grep.app — GitHub code search across millions of repos
  • Exa — Web search for blog posts, tutorials, discussions

Layer 3: Deep Dive (As Needed)

For complex searches:

  • Clone relevant repos for source analysis
  • Check git history for evolution
  • Search issues/PRs for context

Search Output Format

## Local Codebase Results

### Direct Matches

- `/path/to/file.go:42` — [why this matches]
- `/path/to/file.go:128` — [why this matches]

### Related Code

- `/path/to/related.go` — [how it's related]

### Patterns Found

[Describe any patterns or conventions discovered]

## External Resources

### Official Documentation

- [Link] — [what it covers]

### Code Examples

- [GitHub permalink] — [what this demonstrates]

### Articles/Tutorials

- [Link] — [relevance]

## Summary

[Synthesize findings: what was found, what's most relevant, what to do next]

## Recommended Next Steps

1. [Action based on findings]

Search Strategies by Query Type

Query Type Strategy
"Where is X?" explore swarm + glob + grep
"How does Y work?" explore + read key files + trace
"Best practice for Z" librarian (context7 + exa)
"Examples of W" librarian (grep.app + context7)
"Why does V behave..." explore + librarian + git history

Output

Write to Obsidian via obsidian_append_content at: $OBSIDIAN_PATH/Searches/YYYY-MM-DD-query.md

Note: $OBSIDIAN_PATH must be a vault-relative path (e.g., Projects/myapp), set per-project via direnv. The obsidian_append_content tool expects paths relative to the vault root.

Document Structure

Use this template for the Obsidian document:

@~/.config/opencode/templates/search-results.md

Search Query

$ARGUMENTS