Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
Data & databases
Comprehensive development guide for integrating the THScore Football API. Covers authentication, regional server selection, all football endpoints (Live Data, Stats, Odds, Live Animation, Historical DB), TypeScript types, rate limiting, caching, error handling, and iFrame/WebView embedding. Triggers on any task involving football livescores, schedules, standings, odds, events, lineups, team/player profiles, or live animation embeds.
Conduct an evidence-backed TikTok Shop business study with current KOLSprite product, creator, video, shop, and caption data. Use for opportunity evaluation, cold-start planning, winning-content research, creator selection, competitor comparison, growth diagnosis, and questions such as whether and how a direction is worth testing. Do not use for a single direct lookup or caption-only request.
Assigns a category and subcategory to a financial transaction by matching its raw description against a configurable taxonomy and rules table, falling back to LLM inference when no rule matches. Emits a normalized merchant name, category path, recurring flag, and confidence score, and proposes new rules from confirmed classifications. Use when categorizing bank, credit-card, or brokerage transactions, building or refining a category taxonomy, or when user mentions transaction categorization, merchant normalization, expense classification, or category rules.
Microsoft SQL Server T-SQL procedural language. Covers stored procedures, functions, triggers, error handling, and SQL Server-specific features. Use for SQL Server database server-side programming. USE WHEN: user mentions "tsql", "T-SQL", "SQL Server procedures", "SQL Server functions", "TRY...CATCH", "THROW", "sp_executesql", "SSMS" DO NOT USE FOR: basic SQL Server SQL - use `sqlserver` instead, PostgreSQL - use `plpgsql` instead, Oracle - use `plsql` instead
Configures and debugs Apache Solr search for TYPO3, including EXT:solr, configsets, indexing queues, Tika/file indexing, facets, suggest, routing, PSR-14 events, custom indexers, vector search, and frontend search UI. Use when the user mentions Solr, EXT:solr, indexing, facets, autocomplete, suggest, Tika, solrfal, search debugging, or vector search in TYPO3.
Use whenever a task needs something from the live web — search the web or the news, read a URL, map or crawl a site, pull structured fields from a page, or get data from a platform (X, LinkedIn, Reddit, TikTok, Instagram, YouTube, Xiaohongshu, Amazon, app stores, Google Maps, papers). Picks the right tool for the job, starts free, and lets treg fall back to the next vendor when one fails. No local scrapers, browsers or cookies.
Use when investigating or improving WordPress performance (backend-only agent): profiling and measurement (WP-CLI profile/doctor, Server-Timing, Query Monitor via REST headers), database/query optimization, autoloaded options, object caching, cron, HTTP API calls, and safe verification.
Xiaohongshu short-video operations and growth assistant for content creators, operators, brands, and e-commerce businesses. Use it when the user provides a Xiaohongshu note link to generate sentiment and public-opinion views, user personas and intent analysis, and optimization and conversion suggestions based on the input materials.
Manage Zilliz Cloud vector databases via zilliz-cli. Use when the user wants to: (1) set up zilliz-cli (install, login, configure), (2) manage clusters (create, list, describe, suspend, resume, delete, modify), (3) manage collections, indexes, partitions, databases, or aliases, (4) perform vector operations (search, query, insert, upsert, delete, hybrid search), (5) manage database users, roles, and RBAC privileges, or cloud-level access control (org/project roles, member and group grants), (6) handle backups, imports, billing, monitoring, projects, regions, or async jobs. Triggers on: zilliz, vector database, semantic search, RAG, embeddings, collection schema, vector index, similarity search, zilliz-cli.
Sync columns from a synced data warehouse table onto PostHog person or group properties, so warehouse data becomes usable anywhere person and group properties already work: feature flag targeting, cohorts, insight filters and breakdowns, surveys, session replay filters, workflows, and the person profile. Use when the user wants to "add a person property from my warehouse", "enrich people with Stripe/Postgres/Salesforce data", "put ARR or plan tier on my persons", "target a feature flag by a warehouse column", "sync warehouse columns onto groups or organizations", or wants to inspect, backfill, disable, or debug an existing warehouse-backed person or group property.
This skill should be used when the user asks about "qualitative coding", "thematic analysis", "grounded theory", "open coding", "axial coding", "selective coding", "codebook development", "NVivo", "ATLAS.ti", "Dedoose", "MAXQDA", "inter-coder reliability", "memo writing", "qualitative data analysis", "coding qualitative data", "act as a qualitative coder", "qualitative coder mode", "thematic coding", "Braun and Clarke", "inductive coding", "deductive coding", "code hierarchy", "theme development", "qualitative research analysis", "interview analysis", "focus group analysis", "content analysis", "narrative analysis", "phenomenological coding", "category development", "code frequency", "coding framework", or needs expertise in systematic qualitative data analysis and codebook construction. Part of the AlterLab FC Skills collection (Research Methods & Academic Writing department).
Looks up a Turkish academic's official YÖKSİS-backed profile, current affiliation, unvan (academic title), publications, research projects, and supervised theses on the YÖK Akademik portal (akademik.yok.gov.tr/AkademikArama/), a server-rendered JSP app with no public JSON API, by scraping its verified endpoints (AkademisyenArama POST search, viewAuthor.jsp profile, AkademisyenProjeBilgileri, AkademisyenYonTezBilgileri) keyed by an opaque authorId, with Turkish-character (Iı Şş Ğğ Çç Öö Üü) normalization for name matching. Use when the request is to verify a Turkish academic's current institution, find a researcher on YÖK Akademik, confirm affiliation for authorship or a recommendation letter, or list someone's supervised theses or projects. For admission statistics (kontenjan, taban puan) use alterlab-yokatlas; for the national thesis full-text archive use alterlab-yok-tez; for publication metadata enrichment use alterlab-openalex. Part of the AlterLab Academic Skills suite.
Perform spatial analysis using analysis objects, REST services for routing/geocoding/geoprocessing, and feature reduction with clustering/binning. Use when running viewshed, line-of-sight, buffer, or geoprocessing analysis, and when clustering or binning dense point data for visualization.
Adds and runs data quality checks (dbt-test style assertions) on a project's warehouse tables and saved-query views, and HogQL catalog metrics: not-null, uniqueness, accepted values, referential integrity, row-count bounds, freshness, and custom HogQL. Metrics support custom SQL checks only. Use when asked to test a model, validate a view, check for nulls or duplicates, add data quality checks, find out why a number looks wrong, or judge whether a warehouse table is trustworthy before using it in an analysis. To describe what data *means* (metrics, certifications, joins), see setting-up-data-catalog instead. Trigger terms: data quality, data test, dbt test, not null check, uniqueness check, freshness check, referential integrity, row count check, validate model, is this table trustworthy.
Unified Azure cost management: query historical costs, forecast future spending, and optimize to reduce waste. WHEN: "Azure costs", "Azure spending", "Azure bill", "cost breakdown", "cost by service", "cost by resource", "how much am I spending", "show my bill", "monthly cost summary", "cost trends", "top cost drivers", "actual cost", "amortized cost", "forecast spending", "projected costs", "estimate bill", "future costs", "budget forecast", "end of month costs", "how much will I spend", "optimize costs", "reduce spending", "find cost savings", "orphaned resources", "rightsize VMs", "cost analysis", "reduce waste", "unused resources", "optimize Redis costs", "cost by tag", "cost by resource group", "AKS cost analysis add-on", "namespace cost", "cost spike", "anomaly", "budget alert", "AKS cost visibility". DO NOT USE FOR: deploying resources, provisioning infrastructure, diagnostics, security audits, or estimating costs for new resources not yet deployed.
Azure FinOps reservation analysis, cost validation, waste discovery, and executive reporting. USE WHEN user says 'validate costs', 'check reservations', 'find waste', 'orphaned resources', 'reservation coverage', 'savings analysis', 'draft response for', 'cost analysis', 'are these reservations', 'reservation gaps', OR any Azure cost optimization request.
Backtest crypto and traditional trading strategies against historical data. Calculates performance metrics (Sharpe, Sortino, max drawdown), generates equity curves, and optimizes strategy parameters. Use when user wants to test a trading strategy, validate signals, or compare approaches. Trigger with phrases like "backtest strategy", "test trading strategy", "historical performance", "simulate trades", "optimize parameters", or "validate signals".
Business Analyst (/ba, alias: Anna, /anna) - Senior BA with 10+ years bridging business and technical teams. Use when conducting market research, competitive analysis, gathering/refining requirements with behavioral acceptance criteria, creating business process models, cost-benefit analysis, financial modeling, user research, or validating assumptions with data. Works closely with /po to shape requirements.
Writing and executing C# scripts and macros against Power BI semantic models using Tabular Editor 2/3. Automatically invoke when the user mentions "C# script", "Tabular Editor script", "TOM scripting", "MacroActions.json", "XMLA", or asks to "automate model changes", "bulk update measures", "create calculation groups", "write a macro", "format DAX expressions", "manage model metadata".
End-to-end ArcGIS Portal / AGOL → CARTO migration. Triggers when the user wants to migrate ArcGIS content to CARTO, plan a migration, asks "what's in my Portal", names a Portal/AGOL URL, or asks to migrate the datasets / web maps / simple apps. Runs three phases — discover (enumerate items + write MIGRATION_MANIFEST.md), migrate-data (Hosted Feature Layers / Tables → CARTO tables), migrate-maps (Web Maps + simple Dashboards / Web Experiences / Web Mapping Apps → CARTO Builder maps). Default mode is batch; migrated maps are always tagged `From ArcGIS` and created as private.
Connect a ChatGPT or Claude account and sync its conversation history into the brain automatically. Cookie paste-in is the primary lane; sync is incremental (watermark + trailing-window gap-heal), and can run on a schedule via autopilot or host cron. Distinct from the export-file lane (that lives in conversation-archive) — this is the LIVE, account-connected, auto-scraping path.
Clarify how to visualize change over a time range before building a trend. Use whenever the user asks how much something changed, grew, dropped, improved, or regressed between two points or periods — "how much did X change from A to B", "before vs after", "start vs end", "week over week", "compare this month to last", "change over time" — or mentions a "slope chart" / "slopegraph". Two readings of "change" need different charts: the whole trend (a line, every interval) versus just the two endpoints (a slope, start vs end). Ask which they want, then render it. Not for choosing a saved insight ChartDisplayType in the insight editor.
Use when building data integration pipelines, querying industrial data, deploying data models, managing access control, or developing applications that connect to industrial assets, time series, events, and files. Reach for this skill when working with REST APIs, SDKs (Python/JavaScript), data modeling, extractors, transformations, or infrastructure-as-code deployments. Use for **Cognite Flows** custom web apps hosted in CDF (React, `@cognite/cli`, Aura design-system UI with `@cognite/aura`, app hosting, local dev with Vite, deploy, and certification). Core data modelling (CDM)—use when working with CogniteAsset, CogniteTimeSeries, CogniteFile—the CDM concepts for assets, time series, and files. Reach for this skill when building asset hierarchies, populating time series, creating and linking files, or when searching for "Asset" in the API reference (CDM assets are in the Instances API. The legacy /assets endpoint is deprecated as of 2026-10-15 and retires on December 31, 2027)
Copy a PostHog endpoint (a saved HogQL/insight query exposed as an API route) to another project in the same organization, or duplicate it under a new name in the same project. Use when the user wants to duplicate an endpoint, promote an endpoint from staging to production, replicate an endpoint's query/variables/freshness config in another workspace, or clone an endpoint to iterate on it. Unlike feature flags and experiments, endpoints have NO native cross-project copy tool — this skill covers the read-then-recreate flow (endpoint-get then endpoint-create), the active-project switching it requires, name-collision checks, and the safe defaults (land unmaterialised in the target, verify with endpoint-run). Does not cover editing endpoint versions (see managing-endpoint-versions) or authoring a brand-new endpoint from scratch (see creating-an-endpoint).
Creates product analytics or SQL-backed box plot insights in PostHog. Use when a user asks to create, build, or save a box plot, visualize a numeric distribution, compare quartiles or medians across dates or groups, or turn SQL results into a box plot. Chooses between a standard Trends box plot and a SQL insight, validates the distribution data, saves the insight, and verifies it.
Collect, analyze, and act on customer feedback to improve your product and business. Use when building feedback systems, running customer interviews, analyzing feature requests, measuring satisfaction (NPS, CSAT), or closing the feedback loop. Covers feedback collection methods, interview techniques, analysis frameworks, and how to decide what feedback to act on. Trigger on "customer feedback", "collect feedback", "user research", "customer interviews", "NPS", "feature requests", "feedback system".
When the user wants to build digital twins, simulate supply chain operations, or create virtual replicas for testing. Also use when the user mentions "digital twin," "simulation modeling," "discrete event simulation," "system simulation," "virtual supply chain," "what-if analysis," "scenario simulation," or "operational testing." For network optimization, see network-design. For forecasting, see demand-forecasting.
Compute Rayleigh and Love wave phase/group dispersion and sensitivity kernels for one-dimensional isotropic layered Earth models. Use when forward modelling velocity profiles, comparing layered models, or preparing numerical derivatives for a separately defined inversion. Does not extract observed dispersion from waveforms or perform tomography.
Starting point for exploring how a PostHog MCP server's tools are used — routes a broad question to the typed tool that answers it. Use when the user asks "how is my MCP doing?", "what should I look at?", "explore my tool calls", "who uses my MCP tools?", "what are agents doing with the MCP?", or pastes an MCP analytics URL without a specific question. Offers a menu of questions, each backed by a query tool, then hands off to the focused skill.
Expert guidance for the Fabric CLI (`fab`) and the Fabric and Power BI REST APIs: workspaces, items, lakehouses, notebooks, pipelines, semantic models, reports, capacities, OneLake, deployment and admin. Also estimates the capacity units (CU) an operation will consume and its impact on the capacity before running it. Automatically invoke whenever the user mentions Fabric, Power BI Service, a Fabric or Power BI workspace, a capacity or F SKU, OneLake, `fab`, or asks to create, run, refresh, schedule, deploy or delete anything in Fabric, including preview items such as Plan, Ontology, Graph or Copilot.
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.