claude

ultradeep

Multi-agent deep-research pipeline: adaptive parallel explorers + STORM-style questioning + adversarial red-team verification + tiered search (Exa/SearXNG/WebSearch) + optional wiki filing & knowledge-graph. Tunable via program.md.

3 on GitHubby justsimav1.0.0MITupdated 1 month ago
/

Plugin ultradeep from marketplace agentic-stack in justsima/agentic-stack. Commands read from the repo's manifest — 30 days ago.

What it installs

Slash commands (1)

  • /ultradeep:ultradeep

    Robust multi-agent deep research. Orchestrator-worker pattern with adaptive parallelism (1-10 explorers using Exa/HF/Context7/GitHub/zread as relevant), a scaled request-analysis stage with an adaptive AskUserQuestion clarification gate (asks only when a material assumption would otherwise be made),

Subagents (2)

  • deep-research-explorer

    Parallel research explorer. Receives one specific research angle with a 4-field task spec (objective, output format, tools/sources, boundaries). Runs deep search via Exa + WebFetch + HuggingFace papers + Context7 library docs + GitHub MCP + zread (as relevant to angle), fetches and reads primary sou

  • deep-research-redteam

    Adversarial verifier for deep research reports. Reads a draft report and its supporting scratch notes, then attacks the conclusions on 6 axes (unsupported claims, weak evidence, missing perspectives, logical gaps, over-confidence, recency rot). Used by /deep-research orchestrator in the final phase

View source on GitHub

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Generate natural, tailored job-application answers from YOUR own profile (a private, git-ignored profile.md you create from the included template).

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Find the best X on the market in any category across major retailers. Parallel research explorers + a DETERMINISTIC Python decision-matrix scoring engine + red-team verification + a ranked, segment-aware buying report.

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