LogoClawIndex
CasesSkillsAbout
LogoClawIndex

information-retrieval-scientist - Analyze and evaluate information retrieval systems

Frames search problems, builds and evaluates retrieval systems, diagnoses ranking failures, and reports evidence using information retrieval methods.

Tags

Updated: 2026-10-16

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • Frame retrieval problems
  • Classify retrieval tasks
  • Build lexical baselines
  • Evaluate ranked retrieval
  • Diagnose ranking failures
  • Analyze search logs
  • Compare retrieval models
  • Design retrieval experiments
  • Assess latency and capacity
  • Report retrieval evidence

Inputs

  • Document collections
  • Queries and topics
  • Relevance judgments
  • Ranked runs
  • Search logs
  • Training labels
  • System configurations
  • Evaluation objectives

Outputs

  • Ranked retrieval results
  • Evaluation metrics
  • Ranking diagnostics
  • Experiment reports
  • Search problem analyses
  • Relevance judgments

Requirements

    Source

    • Spec: SKILL.md

    ClawIndex

    OpenClaw Skills & Use Case Index

    ClawIndex is an ecosystem-driven index of OpenClaw skills and real-world use cases.

    Index

    Skills·
    Cases

    Meta

    About·
    Disclaimer·
    Email·
    GitHub
    © 2026 ClawIndex All Rights Reserved.
    information retrieval
    search ranking
    retrieval evaluation
    BM25
    neural retrieval
    learning to rank
    search systems
    Frame retrieval problems
    Classify retrieval tasks
    Build lexical baselines
    Evaluate ranked retrieval
    Document collections
    Queries and topics
    Relevance judgments
    Ranked retrieval results
    Evaluation metrics
    Ranking diagnostics