Oh-my-agent oma-search

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

install
source · Clone the upstream repo
git clone https://github.com/first-fluke/oh-my-agent
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/first-fluke/oh-my-agent "$T" && mkdir -p ~/.claude/skills && cp -r "$T/.agents/skills/oma-search" ~/.claude/skills/first-fluke-oh-my-agent-oma-search && rm -rf "$T"
manifest: .agents/skills/oma-search/SKILL.md
source content

Search Agent - Intent-Based Search Router

When to use

  • Finding official library/framework documentation
  • Web research for tutorials, examples, comparisons, and solutions
  • Searching GitHub/GitLab code for implementation patterns
  • Any query where the search channel is unclear (auto-routing)
  • Other skills needing search infrastructure (shared invocation)

When NOT to use

  • Local codebase exploration only -> use Serena MCP directly
  • Git history or blame analysis -> use SCM Agent
  • Full architecture research -> use Architecture Agent (may invoke this skill internally)

Core Rules

  1. Classify intent before searching: every query goes through IntentClassifier first
  2. One query, one best route: avoid redundant multi-route unless intent is ambiguous
  3. Trust score every result: all non-local results get domain trust labels from the registry
  4. Flags override classifier: user-provided flags (
    --docs
    ,
    --code
    ,
    --web
    ,
    --strict
    ,
    --wide
    ,
    --gitlab
    ) always take precedence
  5. Fail forward: if primary route fails, fall back gracefully (docs->web, web->
    oma search fetch
    strategies)
  6. No additional MCP required: Context7 for docs, runtime native for web, CLI for code, Serena for local
  7. Vendor-agnostic web search: use whatever the current runtime provides (WebSearch, Google, Bing)
  8. Domain-level trust only: do not attempt sub-path or page-level scoring

Routes

RoutePrimary ToolFallbackTrigger
docs
Context7 MCP (
resolve-library-id
query-docs
)
web
route
Official docs, API reference
web
Runtime native search
oma search fetch
(api/probe/impersonate/browser)
Tutorials, examples, solutions
code
gh search code
/
glab api
Implementation patterns, repos
local
Serena MCP (delegate)Current project files, symbols

Default Workflow

  1. Parse — Extract query, detect flags, classify intent
  2. Route — Dispatch to the appropriate search channel(s)
  3. Collect — Gather results from dispatched routes
  4. Score — Attach trust labels to each result domain
  5. Present — Format and rank results for the user

Invocation

Standalone

/oma-search "React Server Components streaming"
/oma-search --docs "Next.js middleware"
/oma-search --code "PKCE implementation"
/oma-search --strict "JWT refresh token rotation"

Shared Infrastructure (from other skills)

Other skills reference oma-search by specifying intent and query:

  1. State intent:
    docs
    |
    web
    |
    code
    |
    local
  2. Pass query string
  3. Use Trust Score in results to weigh source reliability

How to Execute

Follow

resources/execution-protocol.md
step by step. See
resources/examples.md
for input/output examples. Use
resources/intent-rules.md
for intent classification reference. Use
resources/trust-registry.md
for domain trust scoring reference. Before submitting, run
resources/checklist.md
.

Execution Protocol (CLI Mode)

Vendor-specific execution protocols are injected automatically by

oma agent:spawn
. Source files live under
../_shared/runtime/execution-protocols/{vendor}.md
.

References

  • Execution steps:
    resources/execution-protocol.md
  • Intent classification:
    resources/intent-rules.md
  • Trust registry:
    resources/trust-registry.md
  • Examples:
    resources/examples.md
  • Checklist:
    resources/checklist.md
  • Error recovery:
    resources/error-playbook.md
  • Context loading:
    ../_shared/core/context-loading.md
  • Context budget:
    ../_shared/core/context-budget.md
  • Lessons learned:
    ../_shared/core/lessons-learned.md