Skills
96,770 packaged capabilities and playbooks for agents. Install any of them with one command.
Data & databases
Free Google Search Console MCP server and CLI for AI agents. Reads your real Search Console, Google Analytics, Bing Webmaster Tools and Clicky data, plus DataForSEO and Ahrefs keyword research. Use it for any SEO question - why Google traffic or clicks dropped, organic traffic decline, quick wins, low CTR, striking distance keywords, content decay and declining pages, keyword cannibalization, indexing and URL inspection, one page's queries, Google update impact, the questions people ask AI that show in Search Console, competitor keywords, backlinks, technical SEO crawls, redirects, internal links and client SEO reports. Returns facts from your own data, never guesses
Audit an affiliate or partner commission payout run for accuracy before money is disbursed — per-line rate and tier recomputation, double-counted conversions, clawback and validation windows, period cutoff, currency, rounding, and tax-form status, delivered as an audit report with severities and recommended holds. Covers B2B SaaS recurring revenue-share and B2C ecommerce order-level CPA programs. Use whenever the user mentions an affiliate payout audit, commission accuracy, payout reconciliation, overpaid or underpaid affiliates, or a pre-disbursement review, even if they never say audit. Do NOT use for spotting fraudulent affiliates — use mbfinotti/partnerships-skills@affiliate-fraud-detection instead.
Define the metric set and layout for an affiliate performance dashboard, delivered as a dashboard specification document - metric definitions with explicit formulas, views per audience, refresh and review cadence, and alert thresholds for top affiliates, conversion by source, and program ROI. Covers B2B SaaS recurring revenue-share and B2C ecommerce order-level CPA programs. Use whenever the user mentions affiliate program reporting, affiliate KPIs, affiliate ROI, revenue concentration, or what to put on an affiliate dashboard, even if they never say dashboard. Specifies metrics, never builds them in a BI tool. Do NOT use for one creator campaign's measurement plan - use mbfinotti/partnerships-skills@influencer-measurement-framework instead.
Model the unit economics of one partner relationship - partner P&L, margin modeling, cost-to-serve, referral-fee and lifetime-value split, channel partner ROI, partner CAC vs direct CAC, ramp and payback - to decide whether to sign, scale, renegotiate, or exit that partner. Covers B2B channel and alliance partners plus B2C affiliate and creator economics. Use whenever the user mentions partnership unit economics, a single-partner business case, reseller, VAR, MSP, OEM or marketplace deal economics, revenue-share and margin-stack analysis, or asks whether a partner is worth pursuing, even if they never say economics. Do NOT use for ranking a portfolio of candidates - use mbfinotti/partnerships-skills@alliance-prioritization instead.
Measure and review the performance of individual partners in a B2B partner program - the per-partner scorecard (dimensions, weights, targets, red-flag thresholds, data sources), the review cadence and QBR structure, and the underperformance ladder from trigger through corrective action to de-tier or exit. Also covers the B2C affiliate and creator review contrast. Use whenever the user mentions a partner scorecard, partner reviews, a channel partner QBR, a partner health check, or an underperforming channel partner, even if they never say performance. One partner at a time. Do NOT use for designing the tier ladder itself - use mbfinotti/partnerships-skills@partner-tiering instead.
Design the pre-launch measurement plan for one influencer or creator campaign - KPIs matched to the objective (awareness, engagement, conversion, affiliate-linked, always-on ambassador), an attribution method and data source behind each KPI, reporting cadence per stakeholder, and declared blind spots. Delivered as a measurement plan document before launch, for B2B and B2C alike. Use whenever the user mentions influencer KPIs, creator campaign attribution, campaign reporting, or asks how to measure a creator partnership, even if they never say measurement. Do NOT use for an ongoing affiliate program dashboard - use mbfinotti/partnerships-skills@affiliate-performance-dashboard instead.
Universal SQL code review assistant that performs comprehensive security, maintainability, and code quality analysis across all SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). Focuses on SQL injection prevention, access control, code standards, and anti-pattern detection. Complements SQL optimization prompt for complete development coverage.
Create 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.
Programmatic 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.
CLI-backed URL extraction. Use when the user explicitly invokes this skill, needs CLI-only controls or saved JSON output, or no Parallel web_fetch MCP tool is available. When the bundled Parallel Search MCP is available, prefer its web_fetch tool for ordinary webpages, articles, PDFs, and JavaScript-heavy sites.
Bulk 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.
Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB Model Context Protocol (MCP) tools for automated database operations. Use when creating, configuring, or administering AlloyDB databases. Do NOT use for general PostgreSQL instances (e.g. Cloud SQL) or other GCP databases.
Drive a live marimo notebook as a workspace: run Python in the same kernel the user does, inspect live notebook state, and commit durable notebook changes. Use when the user wants to start a marimo notebook or pair on an active marimo session.
Build comprehensive 3-5 year financial models with revenue projections, cost structures, cash flow analysis, and scenario planning for early-stage startups. Use this skill when creating financial projections, calculating burn rate or runway, modeling fundraising scenarios, or preparing investor-ready financials for a seed or Series A raise.
PostgreSQL-specific code review assistant focusing on PostgreSQL best practices, anti-patterns, and unique quality standards. Covers JSONB operations, array usage, custom types, schema design, function optimization, and PostgreSQL-exclusive security features like Row Level Security (RLS).
A-share value investing analysis tool offering stock screening, in-depth individual stock analysis, industry comparisons, and valuation calculations. Based on value investing theory, it uses akshare to retrieve public financial data and is suitable for ordinary investors who trade infrequently.
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…”—for example, “Find AI startups that raised Series A in 2026,” “List roofing companies in Charlotte NC,” or “Show me YC W24 dev tools companies.” Unlike web-search, which returns webpages, and deep-research, which returns a narrative report, use this when the user wants a structured list of entities.
Audit or improve manuscript statistical reporting, including experimental units, replication, uncertainty, tests, and figure statistics. Use for 统计审查、统计方法小节、图注统计 and reviewer concerns; compute new analyses only when requested with data.
Safe, reversible database migration patterns: forward-only production changes, expand-contract zero-downtime renames, concurrent indexes, batched backfills, and per-tool workflows for PostgreSQL, Prisma, Drizzle, Kysely, Django, and golang-migrate. Use when writing a schema or data migration, adding a column or index to a large table, planning a rollback, or preparing a zero-downtime deploy.
Calculate 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.
Proven workflow architectural patterns from real n8n workflows. Use when building new workflows, designing workflow structure, choosing workflow patterns, planning workflow architecture, or asking about webhook processing, HTTP API integration, database operations, AI agent workflows, batch processing, or scheduled tasks. Always consult this skill when the user asks to create, build, or design an n8n workflow, automate a process, or connect services — even if they don't explicitly mention 'patterns'. Covers webhook, API, database, AI, batch processing, and scheduled automation architectures. Also use when optimizing a slow workflow or speeding up large-item-count processing (node count, batchSize, all-items vs per-item).
Analyze a user's Plannotator plan archive to extract denial patterns, feedback taxonomy, evolution over time, and actionable prompt improvements — then produce a polished HTML dashboard report. Falls back to Claude Code ExitPlanMode denial reasons when Plannotator data is unavailable.
MUST 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, while Metaobjects are custom data types that can store bespoke data structures. Metafield and Metaobject definitions provide a schema and configuration for values to follow
Use for any question about a codebase, its architecture, file relationships, or project content—especially when graphify-out/ exists, where the question should be treated as a graphify query first. Turns any input (code, docs, papers, images, videos) into a persistent knowledge graph with god nodes, community detection, and query/path/explain tools
Xiaohongshu (RedNote) content tool. Use cases: - Search Xiaohongshu posts and get details - Get the home page recommendations - Get post details (text, images, engagement data, comments) - Post comments / reply to comments - Get user profiles and post lists - Like and save posts - Publish image-and-text or video posts - Track trending topics and generate analysis reports - Export posts as long images. Example triggers: - “Search Xiaohongshu for XX” - “Track this Xiaohongshu trend about XX” - “Analyze the discussion about XX on Xiaohongshu” - “Xiaohongshu XX topic report” - “Generate a Xiaohongshu public opinion report about XX”
WeCom online spreadsheet document management: create online spreadsheets, import CSV/Excel as online spreadsheets, read spreadsheet information and data, modify spreadsheet contents, append rows, and manage sub-sheets. Trigger when the user mentions “spreadsheet,” “online spreadsheet,” or “Excel spreadsheet,” or shares a link like https://doc.weixin.qq.com/sheet/xxx. For general document operations, use wecomcli-doc-manage; for doc document operations, use wecomcli-doc; for smart spreadsheet CRUD, use wecomcli-smartsheet.
A skill for operating WeCom Smart Docs (smartpage). Create documents, import .md files as documents, read and edit document content (rewrite entire pages, make local edits, add or remove subpages), upload attachments, and build data system pages with dashboards/charts and information collection forms. Use this skill when users mention documents, Smart Docs, or Smart Home; provide a https://doc.weixin.qq.com/smartpage/xxx or https://page.weixin.qq.com/smartpage/xxx link; ask to organize content into a document; or make requests such as “create a document” or “import md as a document” without specifying a document type
Track, calculate, and optimize key performance metrics for SaaS, marketplace, consumer, and B2B startups from seed through Series A, including unit economics, growth efficiency, and cash management. Use this skill when defining a metrics framework, calculating CAC/LTV/burn multiple, benchmarking business health, or preparing metrics dashboards for investors or board reporting.
Builds 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, with vanity metrics removed. 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 for community-only health metrics or a single event’s ROI.
Browser automation for AI agents via inference.sh. Navigate web pages, interact with elements using @e refs, take screenshots, record video. Capabilities: web scraping, form filling, clicking, typing, drag-drop, file upload, JavaScript execution. Use for: web automation, data extraction, testing, agent browsing, research. Triggers: browser, web automation, scrape, navigate, click, fill form, screenshot, browse web, playwright, headless browser, web agent, surf internet, record video
Builds 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.
DEPRECATED — 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".
Designs and runs a developer community health measurement framework: activity, responsiveness, contributor-funnel and sentiment metrics, honest instrumentation, baseline-derived thresholds, and a report that ends in decisions. Use whenever someone asks how to measure their developer community, which community health metrics to track, whether their Discord, Slack or forum is dying, why the community feels quiet, or wants a community health dashboard, contributor funnel, community KPI set or engagement report - even if they only say "is our community doing OK". Do NOT use for launching a community (samber/developer-relations-skills@developer-community-launch) or company-wide devrel KPIs (samber/developer-relations-skills@devrel-metrics).
Master 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.
Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh). Pre-installed: NumPy, Pandas, Matplotlib, requests, BeautifulSoup, Selenium, Playwright, MoviePy, Pillow, OpenCV, trimesh, and 100+ more libraries. Use for: data processing, web scraping, image manipulation, video creation, 3D model processing, PDF generation, API calls, automation scripts. Triggers: python, execute code, run script, web scraping, data analysis, image processing, video editing, 3D models, automation, pandas, matplotlib
How agentmemory is built, the iii engine primitives it runs on, its storage model, ports, and the viewer. Use when reasoning about how memory is stored or retrieved end to end, when extending the system, or when answering how agentmemory works under the hood.
Scrape web content as clean markdown/HTML/JSON via the Bright Data CLI (`bdata scrape`). Use when the user wants to fetch a page, extract content from a list of URLs, or crawl paginated listings. Hands off to `data-feeds` for supported platforms (Amazon, LinkedIn, TikTok, Instagram, YouTube, Reddit, etc.) and to `search` when URLs must be discovered first. Requires the Bright Data CLI; proactively guides install + login if missing.
Token holder chip analysis—deep analysis of holder structure, including chip distribution, entry cost, whale/dev/KOL behavior, risk wallets (rat traders, bundlers, snipers), related wallets, smart money signals, and an AI rating based purely on token structure. Use when the user asks about holder analysis, 筹码分析, 持仓分析, chip structure, who is holding, or whether a token is safe to buy based on its holder composition.
Decision framework for parsing structured text (quizzes, forms, invoices, receipts, tables) with a hybrid regex-first pipeline: regex extraction handles 95%+ cheaply, a confidence scorer flags low-confidence items, and an LLM validator fixes only the edge cases. Use when choosing between regex and LLM for text extraction, building a low-cost document parser, or optimizing extraction cost and accuracy.
PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading. Use when writing or reviewing PyTorch training loops, model architectures, or data loading, or when a run will not reproduce.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.