claude

deepresearch

深度研究插件 - 基于图思维框架的多智能体深度研究系统。支持多领域深度调查、引用验证、知识合成和专业报告生成

5 on GitHubby lazygophersAGPL-3.0-or-laterupdated 3 days ago
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Plugin deepresearch from marketplace ccplugin-market in lazygophers/ccplugin. Commands read from the repo's manifest — 2 days ago.

What it installs

Skills (6)

  • deep-research

    This skill should be used when the user asks to "research X", "deep dive into X", "compare A vs B", "evaluate this project", or requests evidence-backed technical research, architecture review, or technology selection.

  • evidence-synthesizer

    This skill should be used when the user needs to synthesize research evidence into conclusions and recommendations. Typical triggers include summarizing evidence, reconciling conflicting sources, or deriving recommendations.

  • report-writer

    This skill should be used when the user needs a structured research report or formatted output. Typical triggers include writing executive summaries, technical reports, comparison tables, or checklists.

  • research-planner

    This skill should be used when the user needs to plan a research investigation or clarify research scope and questions. Typical triggers include creating a research plan, defining research questions, or structuring a study. Use when planning or scoping research tasks.

  • source-retriever

    This skill should be used when the user needs to retrieve sources for research or build a source list. Typical triggers include collecting sources, searching for documentation, or assembling references.

  • source-validator

    This skill should be used when the user needs to validate sources, verify claims, or rate evidence quality. Typical triggers include verifying citations, checking credibility, or rating sources.

Subagents (4)

  • architecture-advisor

    Use this agent when the user asks for architecture review, system design feedback, or refactoring strategy. Typical triggers include architecture assessment, design review, and migration or evolution planning. See "When to invoke" in the agent body for worked scenarios.

  • code-analyst

    Use this agent when the user asks for code quality review, technical debt analysis, or performance bottleneck investigation. Typical triggers include "code quality", "tech debt", or "performance issue" requests and audits of a codebase or module. See "When to invoke" in the agent body for worked sce

  • project-assessor

    Use this agent when the user asks to evaluate a project, assess dependency risks, or audit supply-chain security. Typical triggers include GitHub project assessment, dependency audit, or license and maintenance risk checks. See "When to invoke" in the agent body for worked scenarios.

  • research-strategist

    Use this agent when the user asks for technology selection, framework comparisons, or research planning. Typical triggers include comparing A vs B, evaluating options for a stack, and requesting a structured research approach. See "When to invoke" in the agent body for worked scenarios.

View source on GitHub

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