数据与研究 Skills - 数据与研究 Agent Skills推荐与安装 - 第4页 - AI导哈

data-visualizationanthropics/know…-pluginsCreate effective data visualizations with Python (matplotlib, seaborn, plotly). Use when building charts, choosing the right chart type for a dataset, creating publication-quality figures, or applying design principles like accessibility and color theory.1.4万 tavily-dynamic-searchtavily-ai/skillsProgrammatic Tavily search with context isolation. Use when web search or extraction will return large results that need filtering, deduplication, or multi-step triage before they enter the model context. Use tavily-search for ordinary lookups and tavily-research for end-to-end cited synthesis.1.4万 reddapilignertys/reddi…h-skillsThe original reddapi.dev Reddit search skill (vector search, semantic search, trends, subreddit discovery), no Reddit OAuth or app registration needed. This is the same engine now packaged as reddit-research with added market-research playbooks and a fuller pitch on semantic vs keyword search; reddapi is kept live under its original name for existing installs and works standalone. Use when the user says 'reddapi' by name, or wants a minimal drop-in Reddit search skill without the extra research-workflow guidance. For the expanded research-oriented version with query playbooks, see reddit-research. For B2B lead scoring, see reddit-leads. For a bare API reference, see reddit-search-api.1.4万 parallel-data-enrichmentparallel-web/pa…t-skillsBulk data enrichment. Adds web-sourced fields (CEO names, funding, contact info) to lists of companies, people, or products. Use for enriching CSV files or inline data. Supports multi-turn: pass --previous-interaction-id from a prior research task to carry context forward.1.4万 statusparallel-web/pa…t-skillsCheck running research task status by run ID1.4万 resultparallel-web/pa…t-skillsGet completed research task result by run ID1.3万 llm-evaluationwshobson/agentsImplement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.1.3万 reverse-engineer-anythingmorluto/reaReverse engineer native, managed, Electron/JavaScript, packaged, firmware, and browser targets with REA, and build agent environments (AgentEnv bundles) of web applications from a live instance or a capture. Use shipped-artifact or requested runtime evidence to explain features, compare versions, decompile code, or guide a reconstruction. Skip REA for ordinary source-repository architecture analysis.1.3万 bmad-agent-analystbmad-code-org/b…d-methodBusiness analyst for market research, competitive analysis, and requirements. Use when the user asks to talk to Mary or requests the business analyst1.3万 china-stock-analysissugarforever/01…t-skillsA股价值投资分析工具，提供股票筛选、个股深度分析、行业对比和估值计算功能。基于价值投资理论，使用akshare获取公开财务数据，适合低频交易的普通投资者。1.3万 parallel-findallparallel-web/pa…t-skillsDiscover 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.1.2万 bmad-advanced-elicitationbmad-code-org/b…d-methodPush the LLM to reconsider, refine, and improve its recent output. Use when user asks for deeper critique or mentions a known deeper critique method, e.g. socratic, first principles, pre-mortem, red team1.2万 researchwriteyuan1z0825/nature-skillsCompose, revise, or audit research proposals, opening reports, and research plans from supporting evidence. Use for 研究计划、开题报告、科研项目申请书. Invoked as researchwrite for compatibility; use nature-writing for general manuscript sections.1.2万 helm-chart-scaffoldingwshobson/agentsDesign, organize, and manage Helm charts for templating and packaging Kubernetes applications with reusable configurations. Use when creating Helm charts, packaging Kubernetes applications, or implementing templated deployments.1.2万 bmad-deep-reconbmad-code-org/b…d-methodDecision-grade research on a topic or this repository. Use when the user says "deep recon", "research this", "draft a research prompt", "process this research report", "market research", "domain research", "technical research", "competitor research", "what users say about X", "literature review", "help me choose between", "research the codebase", "research how X works here" or "why is X built this way". Not for a quick code question answered in chat.1.2万 stock-analysisgracefullight/s…-checkerAnalyze stocks and cryptocurrencies using Yahoo Finance data. Supports portfolio management (create, add, remove assets), crypto analysis (Top 20 by market cap), and periodic performance reports (daily/weekly/monthly/quarterly/yearly). 8 analysis dimensions for stocks, 3 for crypto. Use for stock analysis, portfolio tracking, earnings reactions, or crypto monitoring.1.2万 grimoire-polymarketfranalgaba/grimoireQueries Polymarket market data and CLOB state, and manages CLOB orders via the Grimoire venue CLI wrapper backed by the official Polymarket CLI.1.2万 market-sizing-analysiswshobson/agentsCalculate TAM/SAM/SOM for market opportunities using top-down, bottom-up, and value theory methodologies. Use this skill when sizing markets, estimating addressable revenue, validating market opportunity for a new venture, or building investor-ready market analysis for a startup pitch or business plan.1.2万 devrel-radarsamber/develope…s-skillsBuilds a personalised, time-budgeted watch list of developer-relations information sources - DevRel podcasts, newsletters, practice hubs, peer communities, conference calendars, ecosystem data reports and practitioners worth following - plus the routine that keeps it verified and fresh. Use whenever a developer advocate, community manager, DevRel lead or OSS maintainer asks for a DevRel radar, how to stay current on developer relations, which DevRel podcasts, newsletters or Slack communities deserve their time, which developer conferences to attend or speak at, who to follow in DevRel, or to refresh a radar built earlier - even if they only say they feel out of the loop. Not for tracking a rival vendor - use samber/developer-relations-skills@devrel-competitor-analysis.1.2万 devrel-metricssamber/develope…s-skillsBuilds a developer relations measurement framework - a handful of metrics tiered from reach to product and business impact, each with a written attribution rule, a baseline-derived target, an owner and an action, and vanity metrics cut. Use whenever someone asks how to measure DevRel, which devrel KPIs matter, how to prove devrel value or ROI to an exec, what belongs in a devrel scorecard or quarterly report, why their numbers look good but leadership stays unconvinced, or reports only stars, impressions and event counts - even if they never say "metrics". Do NOT use for tracking instrumentation and dashboards - use samber/developer-relations-skills@devrel-analytics. Not community-only health metrics, not a single event's ROI.1.2万 devrel-competitor-analysissamber/develope…s-skillsBenchmarks a competitor's developer relations motion from publicly observable signals - documentation and quickstart quality, open-source repository health, community size and responsiveness, Q&A tag activity, content cadence by format, event presence, hiring signals - and returns a gap plan with a close, ignore or counter verdict per row. Use whenever the user asks for a devrel competitive benchmark, a developer experience comparison, "how do we compare to <competitor> for developers", "what is <competitor> doing in devrel", a community size or content cadence comparison, or a docs comparison against rivals - even if they only say "why do they get more developers". Not for measuring your own program alone - use samber/developer-relations-skills@devrel-metrics.1.2万 devrel-analyticssamber/develope…s-skillsBuilds the tracking plan that instruments developer-relations surfaces - docs, blog, repositories, package registries, community venues, and off-web appearances - with an event taxonomy, an identity spine, link-tagging discipline, source-confidence labelling, and funnel views. Use when the user says "devrel tracking plan", "docs analytics", "utm discipline", "event taxonomy for our docs", "our GitHub numbers don't match analytics", "how do we instrument the developer funnel", "join docs traffic to signups", or wants to know why devrel numbers disagree between tools. Instrumentation layer only - which KPIs deserve a target belongs to samber/developer-relations-skills@devrel-metrics.1.2万 shopify-custom-datashopify/shopify…-toolkitMUST be used first when prompts mention Metafields or Metaobjects. Use Metafields and Metaobjects to model and store custom data for your app. Metafields extend built-in Shopify data types like products or customers, Metaobjects are custom data types that can be used to store bespoke data structures. Metafield and Metaobject definitions provide a schema and configuration for values to follow.1.2万 developer-keyword-researchsamber/develope…s-skillsBuilds a prioritized keyword list for technical search queries (error strings, "how to X in Y" tasks, integration intents, comparisons, migrations) mined from docs search logs, support tickets, issue trackers and first-party query data rather than keyword-tool volume. Use whenever the user asks what developers actually search for, wants keywords for a developer tool, API, SDK or docs site, an error-message keyword list, demand sizing for a technical topic, or which docs pages to create from search demand - even if they never say "keyword". Does not write the pages. Do NOT use for on-page or docs-site SEO - use samber/developer-relations-skills@docs-seo.1.2万 coinglassstarchild-ai-agent/official-skillsCrypto derivatives data: funding rates, open interest, liquidations, long/short ratios. Use when researching perp markets or comparing ETF flows (e.g. BTC funding, ETH OI). NOTE: platform API key is Startup tier — liquidation heatmap, coins-markets detail, liquidation order book and Hyperliquid positions require higher plans (see Plan Tiers).1.1万 data-quality-frameworkswshobson/agentsImplement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.1.1万 firecrawl-browserfirecrawl/cliDEPRECATED — use scrape + interact instead. Interact lets you scrape a page and then click, fill forms, and navigate without managing sessions manually. Use this skill when the user needs to interact with a webpage, log into a site, click buttons, fill forms, navigate multi-step flows, handle pagination, or when regular scraping fails because content requires JavaScript interaction. Triggers on "click", "fill out the form", "log in to", "paginated", "infinite scroll", "interact with the page", or "scrape failed".1.1万 competitive-landscapewshobson/agentsAnalyze competition, identify differentiation opportunities, and develop winning market positioning strategies using Porter's Five Forces, Blue Ocean Strategy, and positioning maps. Use this skill when evaluating competitors, assessing market positioning, identifying sustainable competitive advantages, or preparing competitive strategy analysis for a startup or investor pitch.1.1万 okx-defiokx/onchainos-skillsDiscover and manage OKX-aggregated DeFi products and positions across protocols and chains. Use for generic or venue-agnostic yield, APY, or TVL discovery and history; DeFi deposits, staking, liquidity, withdrawals, rewards, lending, CLMM analysis; and DeFi portfolio or position views. Requests targeting a named protocol belong to DApp discovery. Triggers include earn yield, best APY, DeFi product, APY/TVL history, deposit, stake, withdraw, redeem, provide or remove liquidity, claim rewards, borrow or repay, CLMM, V3 liquidity charts, DeFi portfolio, and DeFi holdings.1.1万 dbt-transformation-patternswshobson/agentsMaster dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.1.1万