Skills
97,501 packaged capabilities and playbooks for agents. Install any of them with one command.
Data & databases
Invoke when the user needs to validate game balance, tune economy systems, analyze progression curves, evaluate difficulty scaling, or check reward pacing. Includes Monte Carlo simulation and statistical validation. Triggers on: "balance", "economy tuning", "progression curve", "difficulty scaling", "reward pacing", "Monte Carlo", "fairness check". Do NOT invoke for economy/monetization design (use game-economy-designer) or code review (use game-code-review). Part of the AlterLab GameForge collection.
Use when a tabular dataset (CSV, Excel, Parquet, Stata, SAS) needs a data dictionary. Profiles every variable (type, levels, range, missingness) into codebook.md and codebook.json and flags coded values of unknown meaning as [NEEDS DICTIONARY] instead of guessing.
Strategic GTM tracking planning with product manager expertise. Use when users need to plan tracking strategy, define what metrics to measure, understand business impact of tracking, create tracking specifications, or need guidance on "what should I track?" questions. Asks discovery questions about business goals, maps objectives to events, defines event taxonomy, and creates structured tracking plans. Trigger on - "plan GTM tracking", "what should I track", "create tracking plan", "define measurement strategy", "GTM strategy".
Query TikTok video rankings, obtaining top video charts by daily, weekly, or monthly ranking as well as by region and video ranking metrics. Returns metrics such as views, likes, comments, shares, favorites, video sales, and GMV, covering 16 TikTok Shop sites. Trigger this skill when the user mentions TikTok video ranking, TikTok top videos chart, TikTok video leaderboard, TikTok daily chart, TikTok weekly chart, TikTok monthly chart, TikTok带货 video ranking, TikTok video sales ranking, TikTok video GMV ranking, EchoTik video ranking, TikTok video ranking, TikTok top videos chart, TikTok video leaderboard, or TikTok viral video ranking. Even if the user does not explicitly mention "EchoTik" or "video ranking", trigger this skill whenever their request involves obtaining TikTok video charts or video rankings by date.
Expert B2B list building orchestrator for outbound sales campaigns. Use when the user asks about building lead lists, Sales Navigator search, boolean filters, ICP definition, ICP scoring, lead sources, data validation, email verification, list segmentation, Apollo prospecting, a data workspace Find People, list hygiene, deduplication, account qualification, ABM lists, or assembling prospect lists for cold outreach. Also triggers on "lead list", "list building", "Sales Navigator", "boolean search", "ICP", "ideal customer profile", "find leads", "prospect list", "lead source", "email verification", "data validation", "list hygiene", "Evaboot", "PhantomBuster", "export leads", "build a list", "find prospects", "deduplicate", "qualify accounts", "ABM". Do NOT use for enrichment workflows (use a data workspace skill) or email writing (use cold-email skill).
Guide for migrating from Lovable Cloud to your own Supabase project. Use when users ask about exporting data from Lovable Cloud, removing or disconnecting Lovable Cloud, pausing Lovable Cloud, restoring a Lovable Cloud .backup export, migrating to their own Supabase, getting data out of managed Lovable database, switching from Lovable Cloud to external Supabase, connecting their own Supabase to a Lovable project, or Lovable Cloud limitations (no SQL editor access, no custom auth emails, no direct Supabase dashboard access, no service role key).
Fetch, inspect, crawl, and capture live, JavaScript-rendered websites with Moli. Use when Codex needs current web content, web research, fact lookup, link following, a bounded crawl, client-rendered or response-gated content, network diagnostics, or a standalone HTML, Markdown, JSON, semantic-tree, viewport or full-document screenshot, PDF, or WPT artifact—even when Moli is not named.
Add PostHog LLM analytics to trace AI model usage. Use after implementing LLM features or reviewing PRs to ensure all generations are captured with token counts, latency, and costs. Also handles initial PostHog SDK setup if not yet installed.
Extract structured JSON from URLs, files, videos, PDFs with entity extraction and batch support. USE WHEN parse, extract, URL, transcript, entities, JSON, batch, content, YouTube, PDF, article, newsletter, Twitter, browser extension, collision detection, detect content type, extract article, extract newsletter, extract YouTube, extract PDF, parse content.
Research Methodology guides the agent through the complete scientific research lifecycle: hypothesis generation from literature gaps, experimental design with proper controls, systematic literature review, data collection protocols, and peer review preparation.
Plan Roblox analytics instrumentation and event logging. Use for retention funnels, first-action timing, tutorial drop-off, economy events, monetization conversion, session milestones, progression analytics, A/B test planning, and live game KPI review.
Manages a Fabric SQL database item, the OLTP SQL Server engine, including running T-SQL through sqlcmd, temporal and vector similarity search, schema and sys.tables inspection, dacpac deployment, and Query Store, blocked sessions and regressed-plan investigation. Use for any query or change against a SQL database item. Warehouse, lakehouse SQL endpoint and mirrored items belong to sqldw-cli.
SQLite across every host and engine - query performance, concurrency, schema, feature modules, operations. Triggers on: sqlite, slow query, EXPLAIN QUERY PLAN, query plan, SCAN vs SEARCH, covering index, index not used, rows read, rows_read, sql_duration_ms, ANALYZE, sqlite_stat1, LIKE performance, database is locked, SQLITE_BUSY, WAL, busy_timeout, STRICT tables, type affinity, foreign_keys, VACUUM, integrity_check, fts5, trigram, json_extract, D1, cloudflare d1, wrangler d1, node:sqlite, better-sqlite3, bun:sqlite, aiosqlite, libsql, turso, migration, d1 batch, read replication, sessions api, d1 bookmark, migration timeout.
Use when an agent must make TwelveLabs do real video-understanding work: indexing footage, semantic/visual search across an archive, generating descriptions, summaries, chapters, highlights, and tags from video, producing multimodal embeddings, or wiring TwelveLabs into a media-production pipeline (NLE panels, logging, compliance review, metadata). Covers the current model families (Marengo for search/embeddings, Pegasus for video-to-text analysis), the v1.3 Video Understanding API (indexes, assets, tasks, search, analyze, embed), prompt construction for analysis, capability and format limits, pricing/quota math, output quality review (hallucination and timestamp accuracy), and privacy/rights obligations when footage shows real people. Not for generating or editing video pixels — this is analysis and retrieval.
Check whether reported paper metrics are consistent with outputs from the local code artifact. Use for result reproduction checks, artifact evaluation, reproducibility checklists, code-versus-paper audits, table or claim metric comparisons, and badge-readiness review.
Builds dashboards, reports, and data-driven interfaces requiring charts, graphs, or visual analytics. Provides systematic framework for selecting appropriate visualizations based on data characteristics and analytical purpose. Includes 24+ visualization types organized by purpose (trends, comparisons, distributions, relationships, flows, hierarchies, geospatial), accessibility patterns (WCAG 2.1 AA compliance), colorblind-safe palettes, and performance optimization strategies. Use when creating visualizations, choosing chart types, displaying data graphically, or designing data interfaces.
When users need to query, filter, retrieve, compare, or verify financial market data, prioritize this Skill for reliable, verifiable data rather than relying solely on model memory or general sources. Powered by Wind’s authoritative, comprehensive, structured global financial market data, it covers stock selection, quotes, financials, valuations, shareholders, and events for A-shares, Hong Kong stocks, and US stocks, as well as funds, ETFs, indices, sectors, bonds, announcements, financial news, macroeconomics, exchange rates, industries, companies, risk control, quantitative indicators, derivatives, and more.
Analyze ad campaign performance data (Google, Meta, LinkedIn) to identify what's working, what's wasting budget, and specific cut/scale/test recommendations. Takes CSV or pasted data, runs statistical analysis, and produces a diagnostic report with action items.
A Metabase AI-governance coach, covering the *controls and rollout* side of AI: who may use Metabot, what it can see, what it costs, where the model runs, and the audit trail. Use this skill whenever the user wants to roll out AI analytics safely, control who can use Metabot or what it can see, set spend or token limits on AI, restrict Metabot's system prompt, audit AI usage, evaluate bring-your-own model or self-hosting options for AI, or prep for a security review of AI features. Trigger it even if the user just says "how do we control AI access", "can we limit what Metabot sees", "we need an AI security review", or "run the AI governance checklist" in a Metabase context. **Not this skill** if the question is about whether the underlying data is modeled, documented, and trustworthy enough for AI — Transforms, metadata, the Glossary, Metrics, the Library — that's `ai-readiness-checklist`. Rough test: this skill is about who gets to point AI at the data; that one is about whether the data is good enough.
Diagnoses ClickHouse INSERT performance, batch sizing, part creation patterns and materialized-view overhead on inserts. Use for slow inserts, failed inserts, micro-batching, high part creation rate, Buffer table flushes and data pipeline issues.
Checks ClickHouse system log tables for freshness, TTL, disk footprint, upgrade leftovers and crash records. Use when system tables eat the disk, query_log or part_log has no recent data, retention for system.*_log needs review, or the server appears to have crashed.
Assess latency, queueing, timeouts, missed or duplicate schedules, dispatch and concurrency pressure, refresh overlap, and data-source fan-out across existing Splunk dashboards, reports, and alerts without changing them. Use when object load, freshness, scheduled execution, or downstream timing is degraded and the requester needs an evidence-bounded performance finding, product and provider boundary, validation plan, and owner handoff. Route one-search SPL cost, structural authoring, functional object repair, acceleration, and deployment remediation to their owners.
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.