How does the research confidence assessment work?

It rates the research depth from 0.0 to 1.0 based on evidence coverage and historical context, allowing you to see exactly where evidence is weak or where further investigation is required.

Can this skill search external documentation?

Yes, the orchestrator can trigger a web-search-researcher agent when external context is needed to supplement local codebase information.

Does it support parallel processing?

Yes, the Discovery phase spawns multiple agents simultaneously to scan for files, documentation, and patterns concurrently to maximize efficiency.

What format is the research output delivered in?

It produces a comprehensive, structured Markdown document including a synopsis, detailed findings with code references, historical context, and actionable recommendations.

What makes this different from a standard codebase search?

Unlike basic searching, this skill uses a structured four-phase workflow to cross-reference findings, identify patterns, and synthesize documentation with evidence-based reasoning rather than just returning keyword matches.

Comprehensive Research Orchestrator

Name: Comprehensive Research Orchestrator
Author: v1truv1us

byv1truv1us

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開発者ツール

Orchestrates multi-phase research agents to conduct deep codebase analysis, documentation discovery, and knowledge synthesis.

概要

The Comprehensive Research skill provides a structured, multi-agent approach to technical investigation within Claude Code. It moves beyond simple file searches by orchestrating specialized agents through parallel discovery and sequential analysis phases, ensuring exhaustive coverage of codebases and documentation. By utilizing evidence-based analysis and a built-in confidence assessment, it helps developers understand complex architectural patterns, historical design decisions, and external technical context before making critical implementation choices.

主な機能

Conditional domain specialists for web search, security, and architecture
2 GitHub stars
Integrated Research Confidence Assessment (0.0 to 1.0) to identify gaps
Multi-phase orchestration (Discovery, Analysis, Synthesis, and Validation)
Evidence-based reporting with specific file and line-number references
Parallel agent execution for rapid codebase and documentation scanning

ユースケース

Synthesizing scattered documentation and historical context for authoritative reports
Performing deep analysis on unfamiliar or legacy codebases to identify patterns
Conducting impact analysis and requirement gathering before major refactors

概要

主な機能

Conditional domain specialists for web search, security, and architecture
2 GitHub stars
Integrated Research Confidence Assessment (0.0 to 1.0) to identify gaps
Multi-phase orchestration (Discovery, Analysis, Synthesis, and Validation)
Evidence-based reporting with specific file and line-number references
Parallel agent execution for rapid codebase and documentation scanning

ユースケース

Synthesizing scattered documentation and historical context for authoritative reports
Performing deep analysis on unfamiliar or legacy codebases to identify patterns
Conducting impact analysis and requirement gathering before major refactors