研究与知识
研究、检索、摘要和知识工作
Skills List

langfuse
Interact with Langfuse and access its documentation. Use when needing to (1) query or modify Langfuse data programmatically via the CLI — traces, prompts, datasets, scores, sessions, and any other API resource, (2) look up Langfuse documentation, concepts, integration guides, or SDK usage, or (3) understand how any Langfuse feature works. This skill covers CLI-based API access (via npx) and multiple documentation retrieval methods.
langfuse
research
Delegate noisy investigation to one or more subagents so the orchestrator's context stays clean, then work from the distilled answer. Use this skill whenever answering a question would require reading many files, long logs, large diffs, or wide codebase surveys — i.e. when producing the answer generates far more noise than the answer itself. Use it for "how does X work", "where is Y used", "what's the root cause of Z", "summarize this PR/log" style questions, and reach for it liberally before reading a pile of files inline.
warpdotdev
reproduce-bug-report
Launch Oz cloud agents with computer use to reproduce UI-focused bug reports, capture visual evidence, and report reproduction findings. Use when investigating a specific interactive or visual bug from an issue, ticket, support report, or prompt.
warpdotdev
update-skill
Create or update skills by generating, editing, or refining SKILL.md files in this repository. Use when authoring new skills or revising the structure, frontmatter, or guidance for existing ones.
warpdotdev
competitor-analysis
Use when the user asks to "analyze competitors" or "竞品分析"; benchmarks competitor keywords, content, backlinks, AI citations, and traffic share into strengths, weaknesses, and an action plan. Not for a pairwise topic-coverage gap map — use content-gap-analysis. 竞品分析/竞争对手
aaron-he-zhu
readme-i18n
Use when the user wants to translate a repository README, make a repo multilingual, localize docs, add a language switcher, internationalize the README, or update localized README variants in a GitHub-style repository.
xixu-me
self-improving-agent
A universal self-improving agent that learns from ALL skill experiences. Uses multi-memory architecture (semantic + episodic + working) to continuously evolve the codebase. Auto-triggers on skill completion/error with hooks-based self-correction.
charon-fan
mastra
Comprehensive Mastra framework guide for building agents, workflows, tools, memory, workspaces, and storage with current APIs. Use for documentation lookup, API verification, TypeScript setup, common errors, migrations, and `mastra api` CLI tasks: inspect or call resources on local, Mastra platform, or remote servers.
mastra-ai
parallel-deep-research
ONLY use when user explicitly says 'deep research', 'exhaustive', 'comprehensive report', or 'thorough investigation'. Slower and more expensive than parallel-web-search. For normal research/lookup requests, use parallel-web-search instead. Supports multi-turn: pass --previous-interaction-id from a prior research or enrichment to continue with context.
parallel-web
parallel-web-extract
URL content extraction. Use for fetching any URL - webpages, articles, PDFs, JavaScript-heavy sites. Token-efficient: runs in forked context. Prefer over built-in WebFetch.
parallel-web
status
Check running research task status by run ID
parallel-web
result
Get completed research task result by run ID
parallel-web
parallel-findall
Discover entities (companies, people, products, etc.) matching a natural-language description. Use when the user asks to 'find all X' or 'list every Y that…' — e.g., 'Find AI startups that raised Series A in 2026', 'List roofing companies in Charlotte NC', 'Show me YC W24 dev tools companies'. Different from web-search (which returns webpages) and deep-research (which returns a narrative report). Use this when the user wants a structured list of entities.
parallel-web
tailwind-4-docs
Comprehensive Tailwind CSS v4 documentation snapshot and workflow guidance. Use when answering Tailwind v4 questions, selecting utilities/variants, configuring Tailwind v4, or migrating projects from v3 to v4 with official docs and gotcha checks.
lombiq
firecrawl-deep-research
Produce an intensive, cited analytical report: executive summary, multi-angle findings, contrarian views, open questions, and full sources. Use only when the user needs rigorous synthesis of a complex topic (scientific, technical, policy, or market-analytical) that cannot be answered with a short search, and wants a formal written report, not a recommendation list. Do not use for product picks, top-N lists, quick lookups, or routine "find out about X" tasks. If the request does not clearly need this kind of report, do not use this skill.
firecrawl
firecrawl-research-papers
Find and synthesize research papers, whitepapers, PDFs, technical reports, and academic sources with Firecrawl Research, using semantic paper search, related-paper expansion, and in-body verification. Use when the user wants a literature review, paper summary, research landscape, or sourced synthesis from PDFs and scholarly/industry publications.
firecrawl
firecrawl-market-research
Extract market, financial, earnings, industry, and company metrics with Firecrawl. Use when the user asks for market research, industry trends, public company data, financial comparisons, earnings research, or structured market reports.
firecrawl
firecrawl-knowledge-base
Build a knowledge base from web content with Firecrawl. Use for local reference docs, RAG-ready chunks, fine-tuning datasets, documentation mirrors, topic corpora, or LLM-ready markdown organized from web sources.
firecrawl
firecrawl-knowledge-ingest
Ingest public or authenticated knowledge bases and docs portals with Firecrawl browser. Use for JS-heavy docs, login-gated portals, paginated help centers, support knowledge bases, or structured JSON/markdown extraction from documentation sites.
firecrawl
firecrawl-research-index
Find the papers that answer a research query with Firecrawl Research, using semantic search, semantic and structural expansion, and in-body verification. Always use this skill for any literature-finding / paper-retrieval task — single-paper lookups or full multi-paper sets.
firecrawl
here-now
here.now lets agents publish websites and files to live URLs in seconds. Publish HTML, documents, images, PDFs, videos, and static files to live URLs at {slug}.here.now or custom domains. Use when asked to "publish this", "host this", "deploy this", "share this on the web", "make a website", "put this online", "create a webpage", "generate a URL", "build a chatbot", "password protect this site", "make this site private", or "share this site with only certain people". here.now also includes Drives, private cloud folders where agents can store files, share them with other agents, and continue across sessions and tools — use when asked to "save this to my Drive", "store this for later", "write this to cloud storage", or "share a folder with another agent".
heredotnow
nblm
Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Drastically reduced hallucinations through document-only responses.
magicseek
Nia
Index and search code repositories, documentation, research papers, HuggingFace datasets, local folders, Slack workspaces, Google Drive, X (Twitter), and packages with Nia AI. Includes auth bootstrapping, Oracle autonomous research, GitHub live search, Tracer agent, dependency analysis, context sharing, code advisor, document agent, data extraction, filesystem operations, and generic connectors.
nozomio-labs
cloudbase
Use this skill when you develop, design, build, deploy, debug, migrate, or troubleshoot CloudBase (腾讯云开发, 云开发, TCB, 微信云开发) projects. Covers Web apps (React, Vue, Vite, Next, Nuxt, dashboards, 管理后台), 微信小程序, 小程序, uni-app, native/mobile (iOS, Android, Flutter, React Native) via HTTP API. Includes UI (页面, 界面, 登录页, 表单, form, dashboard, prototype, 原型), auth (登录, 注册, OAuth, 微信登录, publishable key), databases (NoSQL 文档数据库, MySQL, PostgreSQL/CloudBase PG, app.rdb(), queryPgDatabase/managePgDatabase, CRUD, security rules), 云函数 (serverless, scf_bootstrap, HTTP Functions), CloudRun (云托管, Dockerfile), 云存储 (file upload, hosting, 静态托管). Built-in AI (内置大模型, streaming, 流式输出, image generation, 图片生成, generateText, streamText, createModel, generateImage, TokenHub, Hunyuan, hunyuan-exp, DeepSeek, GLM, Token Credits 资源包, 小程序成长计划), 第三方大模型, 大模型接入, 大模型调用, LLM API, chatbot, AI 助手, AI agent, 智能体, AG-UI, LangGraph, LangChain. Ops (巡检, 诊断, health check, 日志, troubleshooting). Spec workflow (需求文档, 技术方案, requirements, tasks.md).
tencentcloudbase