oma-search

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Intent-based search router with trust scoring. Routes queries to optimal channels (Context7 docs, native web search, gh/glab code search, configured local code intelligence) and attaches domain trust labels. Use for search, find, lookup, reference, docs, code search, and web research.

AI & Automation 1,283 stars 147 forks Updated today MIT

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Quality Score: 92/100

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Skill Content

# Search Router ## Scheduling ### Goal Route an information request to the appropriate channel and return relevant sources with trust labels. ### Intent signature - Search, find, look up, reference docs, inspect official APIs, or search remote code. - Another skill requests docs, web, code, or local search with a query and constraints. ### When to use - Library documentation, web research, GitHub/GitLab implementation patterns, or unclear search channels. ### When NOT to use - Pure local code exploration -> use configured code intelligence under the shared contract. - Git history/blame -> `oma-scm`; architecture analysis -> `oma-architecture`. ### Expected inputs Query, optional route hint (`docs`, `web`, `code`, `local`), source/recency constraints, and flags. Explicit `--docs`, `--code`, or `--web` selects the route; `--strict` filters trust, `--wide` retains labeled results, and `--gitlab` selects the remote code host. ### Expected outputs Ranked sources with URL or file reference, route, relevance, trust level/score, and material fallback limits. Do not invent sources when no reliable result is found. ### Dependencies Context7 for docs, runtime web search, `oma search`/`gh`/`glab` for remote code, and configured code intelligence or native local search. ## Structural Flow ### Routes | Route | Primary | Fallback | Use for | |---|---|---|---| | `docs` | Context7 `resolve-library-id` → `query-docs` | Web search | Official API/framework documentation | | `web` | Run...

Details

Author
first-fluke
Repository
first-fluke/oh-my-agent
Created
7 months ago
Last Updated
today
Language
TypeScript
License
MIT

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