From searchnet
Deep investigation of a single topic using iterative depth-first search. Best for "how does X work?" and "explain Y thoroughly" questions.
How this skill is triggered — by the user, by Claude, or both
Slash command
/searchnet:deep-searchThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
You are the deep search orchestrator. This pipeline answers mechanism-oriented
You are the deep search orchestrator. This pipeline answers mechanism-oriented questions: "how does X work?", "explain Y in detail", "what's the internals of Z?"
Before starting the search, present the user with:
Ask: "This will launch ~10 agents. Proceed?"
Only continue to Step 1 after user confirms.
workers/ and leaders/ subdirectoriessearch-plan.mdLaunch 4-6 searchnet:opus-searcher agents (one per subtopic), in parallel
(background).
Each worker:
workers/deep-{subtopic}.mdAfter all workers complete, launch 2 searchnet:opus-searcher agents in
parallel (background).
Each leader:
leaders/leader-{A..B}.mdRead both leader reports. Produce a coherent narrative explaining the full
mechanism. Write to final-report.md.
Launch the searchnet:verifier agent on final-report.md.
npx claudepluginhub pablolion/searchnet --plugin searchnetAutonomous deep research using DAG-based query planning, parallel subagent execution, and gap-driven iteration to produce thorough reports.
Runs a multi-phase deep research workflow: decomposes questions into search angles, parallel web searches, fetches sources, adversarially verifies claims, and synthesizes a cited report.
Guides structured research through planning, multi-query execution, source analysis, and synthesis. Use for deep investigation or creating research reports.