“knowledge base”的搜索结果

分析项目代码、配置、文档和基础设施文件，生成可交互探索的结构与依赖关系图。支持日语说明、文件排除，以及根据变更更新已有分析结果。

• 了解首次接触的项目结构
• 检查组成部分之间的依赖
• 用日语生成设计说明

从源代码或文档中提取类、函数及依赖关系，作为知识图谱存入AgentDB，用于了解代码整体结构、调查模块依赖及评估修改影响。

• 了解代码整体结构
• 调查模块之间的依赖关系
• 评估代码修改的影响

Combine tools for research, reference management, notes, document creation, and publishing. Agents check available software and credentials, then choose suitable tools based on output requirements, costs, and offline needs to build a complete workflow.

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• Review literature and organize references
• Research, write, and publish a blog post
• Turn competitor research into a presentation

Manage SiYuan notebooks, documents, and blocks, the individual pieces of note content, from the terminal. Search your knowledge base, create or update notes, inspect document structure, and export documents as Markdown through its local API.

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• Organizing SiYuan notebooks and document structures
• Creating documents from Markdown content
• Finding notes with full-text search or SQL

Plan a central board for internal announcements, with fields for authors, audiences, publication dates, expiry dates, and acknowledgements. On request, generate empty templates in CSV, SQL, JSON Schema, or a Notion property mapping.

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• Organizing company news that gets lost in chat
• Preparing an announcement board template
• Defining publication, acknowledgement, and expiry steps

Set up and manage DeepTutor from the command line, a text interface for running commands. Run learning tasks, build searchable document collections, manage sessions and notebooks, diagnose installation issues, and launch the server or Web app.

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• Set up DeepTutor and diagnose installation issues
• Build and search a knowledge base from PDFs
• Generate practice questions from learning materials

Build LlamaIndex applications that retrieve relevant material before generating answers, a method called RAG. Connect documents, websites, and databases to support document questions, conversational search, structured summaries, and checks of answer relevance and source consistency.

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• Building question answering over internal documents
• Creating a chatbot that remembers the conversation
• Searching information across files, websites, and databases

Review all changes in a pull request or branch against its base branch. Use a knowledge graph, a map of code relationships, to report affected files and functions, test coverage, API compatibility issues, and recommended actions.

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• Reviewing all commits in a pull request
• Checking a branch's changes against its base
• Finding callers missed by public API changes

Delete stored context-mode data for one session or an entire project after confirming the scope. Remove an unwanted session while preserving others, or clear project knowledge, session records, and statistics for a fresh start.

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• Remove data from one unwanted session
• Clear a project database containing outdated information
• Reset all stored project data for a fresh start

Help Claude interpret workplace shorthand by storing people, acronyms, project names, and preferences in local files. Keep frequent references in CLAUDE.md and detailed context in memory/, so requests can be understood using recorded workplace knowledge.

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• Recording internal acronyms and terminology
• Linking nicknames to people and roles
• Looking up project codenames and background

Turn a plain-language data request into SQL tailored to your database. Build queries that combine tables, filter records, and calculate summaries, with explanations of each step, performance considerations, and suggestions for adjusting dates or other conditions.

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• Create SQL for order counts by status
• Analyze retention by signup month
• Query large tables with date-based partitions

Prepare a deployment checklist covering tests, approvals, database changes, release steps, and monitoring. Tailor it to the release and document rollback triggers, the conditions for reverting a change, before production deployment begins.

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• Prepare checks for an upcoming production release
• Review a release with database migrations
• Verify feature flags and CI status before deployment

Audit a gbrain knowledge base for outdated pages, broken or missing links, inconsistent tags, and missing citations. Get issue counts and specific repair actions, with additional checks for search quality and maintenance status.

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• Audit knowledge base quality
• Find isolated pages and broken links
• Review citations and inconsistent tags

Look up people, companies, and topics in an existing knowledge base before answering. Save authorized information with source references, update related pages and timelines, and maintain links that connect each record to its context.

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• Recall past discussions about a company
• Save new facts with source references
• Review changes across records and timelines

Explore code structure and history using an index of code relationships and meaning-based search. Trace calls, assess change impact, find likely bug locations, generate architecture reports, and review pull requests for risk and conflicts.

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• Tracing function calls and change impact
• Investigating code locations related to a GitHub issue
• Generating architecture reports and class diagrams

Organize Confluence documentation with clear page hierarchies, reusable templates, and access plans. Create and update pages, embed Jira reports, and audit existing content to identify outdated material and establish review responsibilities.

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• Restructure a team's Confluence space
• Standardize meeting notes and decision logs
• Embed Jira issues and charts in documentation

Audit saved project learnings against the current codebase to find outdated explanations, overlapping documents, and contradictions. Maintain the documentation with evidence-based updates, consolidation, replacement, or deletion, and deliver a per-document report with committed changes when applicable.

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• Checking saved learnings against current code
• Consolidating overlapping knowledge documents
• Correcting outdated paths and links

Design an enterprise search system that answers questions using retrieved company content, an approach called RAG. Gather requirements and produce architecture diagrams, deployment guidance, and validation plans using GKE, AlloyDB, and open models.

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• Designing conversational search for internal documents
• Planning RAG with a vector-enabled SQL database
• Hosting open models on GKE

Manage LangBot bots and processing workflows through MCP, a standard for connecting agents to tools. Configure authenticated access, inspect resources, update supported settings, and investigate execution histories, logs, and model request diagnostics.

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• Connect an MCP client to LangBot
• Create or update bots and processing workflows
• Investigate execution logs and errors

Add business knowledge missing from a Wren project's database definitions. Compare source documents with existing context, then add explanations, rules, SQL examples, and proposed metrics through guided questions or an automatic mode with an audit report.

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• Documenting status codes, units, and NULL meanings
• Adding business knowledge from handbooks and glossaries
• Defining aggregation metrics such as ARR or DAU

Navigate a smart contract security knowledge base in a suggested reading order. Find guides covering audit preparation, vulnerability patterns, code searches, reproduction tests, reporting, case studies, and AI tools without losing track of the next topic.

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• Finding a starting point for learning smart contract auditing
• Following guides from preparation through reporting
• Locating audit case studies

Set up a new Obsidian vault, a folder for linked notes, or adopt an existing one. Select the working vault and route requests to the appropriate skills for importing sources, answering questions, saving results, or maintenance.

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• Set up a new Obsidian knowledge vault
• Adopt an existing vault
• Configure vault selection across projects

Convert PDF, Word, and Excel documents into structured Markdown for search and knowledge bases. The skill tries three parsers in sequence when needed and returns metadata, a confidence score, and the parser used.

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• Prepare documents for retrieval-augmented generation
• Structure documents for an internal knowledge base
• Extract structured text from contracts

Continue drafting research-based documents when web search or page reading tools fail. The workflow uses the agent’s existing knowledge, identifies information gaps, and flags claims that need external verification before completing the requested deliverable.

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• Drafting documents during web search outages
• Explaining established principles from existing knowledge
• Flagging claims that need current source verification