NLP
1693 skills in Data & AI > NLP
smart-routing
Intelligent request routing for /toh command. Analyzes user intent, assesses confidence, detects IDE environment, and routes to the appropriate agent(s). Memory-first approach ensures context awareness. Triggers: /toh command, natural language requests, ambiguous inputs.
notebooklm-slides
Generate pedagogically-aligned slide decks from educational content using NotebookLM. Use when creating chapter slide presentations with proficiency-calibrated prompts. NOT for static slides or non-educational presentations.
documentation-linking
Use when creating bidirectional links between code and documentation. Covers link patterns, documentation references, context preservation across artifacts, and maintaining synchronization between code and docs.
notetaker-fundamentals
Use when leaving structured notes, comments, and annotations in code. Covers AI note-taking patterns, TODO formats, context preservation, and development breadcrumbs for future AI assistants and human developers.
graphql-resolvers
Use when implementing GraphQL resolvers with resolver functions, context management, DataLoader batching, error handling, authentication, and testing strategies.
spring-ai-mcp-server-patterns
Model Context Protocol (MCP) server implementation patterns with Spring AI. Use when building MCP servers to extend AI capabilities with custom tools, resources, and prompt templates using Spring's official AI framework.
unit-test-bean-validation
Unit testing Jakarta Bean Validation (@Valid, @NotNull, @Min, @Max, etc.) with custom validators and constraint violations. Test validation logic without Spring context. Use when ensuring data integrity and validation rules are correct.
aws-sdk-java-v2-bedrock
Amazon Bedrock patterns using AWS SDK for Java 2.x. Use when working with foundation models (listing, invoking), text generation, image generation, embeddings, streaming responses, or integrating generative AI with Spring Boot applications.
Writing Plans
Create detailed implementation plans with bite-sized tasks for engineers with zero codebase context
writing-plans
Use when design is complete and you need detailed implementation tasks for engineers with zero codebase context - creates comprehensive guides with exact file paths, code examples, and verification steps; task granularity 2-5 minutes per step
mcp-inspector
Test Model Context Protocol (MCP) servers using the MCP Inspector CLI with correct syntax
swarm
Orchestrate parallel Claude Code worker swarms with protocol-based behavioral governance. Use for complex features, large refactors, or multi-step tasks. Supports behavioral constraints, parallel workers, and persistent state across context compactions.
content-analysis
Analyze text content using both traditional NLP and LLM-enhanced methods. Extract sentiment, topics, keywords, and insights from various content types including social media posts, articles, reviews, and video content. Use when working with text analysis, sentiment detection, topic modeling, or content optimization.
clarification-protocol
Generate targeted clarifying questions (2-3 max) that challenge vague requirements and extract missing context. Use after request-analyzer identifies clarification needs, before routing to specialist agents. Helps cto-orchestrator avoid delegating unclear requirements.
tool-dev
专门用于开发 FastGPT 系统工具和工具集的技能,包含 Zod 类型安全验证、共享配置管理和完整测试工作流。适用于创建新的 FastGPT 工具、开发包含子工具的工具集、或实现带有正确配置和测试的 API 集成。
mcaf-adr-writing
Create or update an ADR (Architecture Decision Record) under `docs/ADR/` using `docs/templates/ADR-Template.md`: context, decision, alternatives, consequences, rollout, and verification. Use when changing architecture, boundaries, dependencies, data model, or cross-cutting patterns; ensure it is self-contained, has a Mermaid diagram, and defines testable invariants.
gemini-tmux-orchestration
Use when delegating coding tasks to Gemini CLI agent, when you need parallel AI execution, or when tasks benefit from Gemini's 1M+ context window - orchestrates Gemini via tmux since headless mode cannot write files
browser-pilot
Chrome DevTools Protocol (CDP) browser automation, web scraping, crawling. 브라우저 자동화, 웹 스크래핑, 크롤링. Features/기능: screenshot with region control 영역지정스크린샷, viewport control 뷰포트제어, PDF generation PDF생성, web scraping 웹스크래핑, data extraction 데이터추출, form filling 폼작성, login automation 로그인자동화, click/input 클릭/입력, element finder 요소찾기, tab management 탭관리, cookie control 쿠키제어, JavaScript execution JS실행, page navigation 페이지이동, wait for element 요소대기, scroll 스크롤, accessibility tree 접근성트리, console messages 콘솔메시지, network idle 네트워크대기, back/forward 뒤로/앞으로, reload 새로고침, file upload 파일업로드, React compatibility React호환성, Smart Mode with Interaction Map 스마트모드. Selectors 셀렉터: CSS selectors (ID, class, attribute), XPath selectors with wildcard * (text-based, structural), XPath indexing (select N-th element with same text). Smart Mode: text-based element search with automatic selector generation. Bot detection bypass 봇감지우회 (navigator.webdriver=false). Auto Chrome connection 자동크롬연결. Headless/headed mode. Daemon-based architecture 데몬기반. Interaction Map System 인터랙션맵. React/framework compatibility React/프레임워크호환성.
sgrep
Use sgrep for semantic code search. Use when you need to find code by meaning rather than exact text matching. Perfect for finding concepts like "authentication logic", "error handling patterns", or "database connection pooling".
oracle
Consults GPT-5.2 with high reasoning for deep analysis. Triggers: "ask the oracle", "consult oracle", "get a second opinion", "ask GPT", "check with GPT", "what would GPT think", "cross-check my reasoning", "external AI". Use for complex debugging, architectural decisions, security audits, or code review requiring deep reasoning. Not for routine tasks.