Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
Data & databases
Explore and diagnose a PostHog endpoint's execution logs — error messages, failed runs, cache misses, slow runs, or unexpected row counts during endpoint invocations. Use when the user says "my endpoint is failing", "show me the logs for endpoint X", "what error did endpoint Y produce", "why did endpoint Z return no rows", "is this endpoint hitting cache", or "check the last N runs". Focused on a single named endpoint's runtime log entries, not project-wide auditing or query performance profiling.
Analyzes flow cytometry data with FlowKit, including spillover compensation, logicle and biexponential transforms, hierarchical gating, GatingML strategies, and supported FlowJo 10 workspaces. Use for reproducible gate counts, population percentages, gated fluorescence summaries, or reproducing a FlowJo analysis in Python. For FCS metadata inspection or file-format repair alone, use FlowIO.
Use when the user asks to recognize invoices, bills, receipts, tickets, or other voucher files with Make Integration services. Also triggered by requests like "发票内容", "识别发票", "票据 OCR", "ocr 这张图片", or "验真发票". Does not manage Make resources (use makecli), design DSL schemas (makedsl), build UI (makeui), implement auth (make-app-auth), Service/API code (make-app-service), runtime packaging (make-app-runtime), or perform non-Make OCR outside makecli integration commands.
Use when authoring or debugging Mongo queries in Meteor 3. Triggers on Mongo.Collection, find/findOne, server async vs client Minimongo sync, oplog vs change streams, indexes, selectors, modifiers, and projections. Use this skill when the user asks about Mongo on the server or Minimongo on the client
Neon + Vercel serverless Postgres for edge and serverless environments. Use for Cloudflare Workers, Vercel Edge, Next.js apps with HTTP/WebSocket connections, database branching (git-like), Drizzle/Prisma ORM integration, migrations, PITR backups, or encountering connection pool exhausted errors, TCP connection issues, SSL config problems.
NocoBase 2 only; never use in a NocoBase 3 project. Query and analyze business data in NocoBase via MCP. Use when users want current counts, grouped breakdowns, owner/source distributions, or business summaries across collections, with main data source first and fallback discovery to other enabled data sources.
Discover, explore, and query Databricks data via Genie — the CLI equivalent of the Genie One MCP. MUST be invoked whenever the user asks to find or locate data ('what tables are in X', 'where does X live', 'which catalog/schema has Y'), answer a natural-language question about the data, or write a SQL query.
Construct and execute analytics queries against the OpenRouter API—full parameter reference for metrics, dimensions, filters, time ranges, ordering, and pagination. Use when building or debugging an analytics query, understanding the request/response shape, or handling query errors
Simulates lithium-ion battery charge, discharge and rest experiments with PyBaMM, records parameter-set provenance, checks mesh and solver sensitivity, and compares predicted voltage curves with measured cycling data. Use for SPM or DFN electrochemical battery modeling, C-rate protocols, voltage cutoffs, parameter studies and numerical validation of battery simulations.
Signals scout for PostHog web traffic. Watches per-channel session volume, attribution breakage, and landing-page health (bounce and 404 steps) against the site's own baseline. Per- page web vitals belong to `signals-scout-web-vitals`.
Detect and analyze trending market themes across sectors. Use when user asks about current market themes, trending sectors, sector rotation, thematic investing, what themes are hot or cold, or wants to identify bullish and bearish market narratives with lifecycle analysis.
Alibaba Cloud MaxCompute Project Management Skill. Use for creating, querying, and listing MaxCompute projects. Triggers: "maxcompute project", "odps project", "create maxcompute project", "manage maxcompute project", "list maxcompute project".
Runs Cantera homogeneous chemical reactors and evaluates ignition delay with mechanism provenance, conservation checks, and numerical refinement. Use for combustion kinetics, closed adiabatic ideal-gas constant-volume or constant-pressure ignition, temperature histories, or mechanism-specific ignition-delay comparisons.
Diagnose why a PostHog endpoint is slow or expensive and propose a concrete fix — bump the cache TTL, enable materialisation, restructure variables, or rewrite the query. Use when the user says “this endpoint is slow”, “my endpoint times out”, “we're hitting the cost cap on this one”, or asks “should I materialise this?”. Focuses on a single named endpoint, not a project-wide audit.
Runs diagnostics and a health check on a PostHog experiment whose results look wrong, biased, empty or stale. Covers 0 exposures, sample ratio mismatch, lost or uneven exposures, users in multiple variants, identity faults, significance traps (peeking, A/A, 'target reached', Bayesian vs Frequentist, sequential testing, CUPED), PostHog-vs-SQL or dashboard discrepancies, mid-run edits, pause and freeze, and qualitative follow-up via a survey. TRIGGER when: user asks 'is my experiment healthy / biased?' or 'why 0 exposures?', mentions the bias or mismatch warning, an uneven split, a variant that looks wrong, significance that flips, numbers that disagree with their SQL or insight, results that changed after an edit, or wants user feedback on an experiment. DO NOT TRIGGER when: creating an experiment (use creating-experiments), only configuring rollout (use configuring-experiment-rollout) or metrics (use configuring-experiment-analytics), or only asking lifecycle questions (use managing-experiment-lifecycle)
Bulk reads, multi-page iteration, and analytics over Dataverse data. Use when the user wants to read, list, filter, aggregate, group, join, or analyze records — including pandas DataFrame workflows and notebook exploration. Also covers ERP (Finance and Operations / F&O) business-data reads and runtime entity, schema, or action discovery; load dv-overview first, then this skill.
Analyzes pooled CRISPR screen FASTQ reads and guide-count matrices with MAGeCK, validates guide libraries and contrasts, measures replicate and library QC, and produces gene hit rankings with effect sizes and FDR. Use for new knockout, CRISPRi, or CRISPRa screen analysis, enrichment or depletion contrasts, and MAGeCK count/test workflows; existing public dependency-score lookup belongs to DepMap.
Processes calibrated one-dimensional complex NMR free-induction decays with nmrglue into phased spectra, peak candidates, and signed integration regions. Use for raw 1D NMR processing, ppm-axis verification, apodization, Fourier transformation, manual phasing, baseline correction, or reproducible spectral integration.
Discover the OpenRouter analytics schema, including available metrics, dimensions, filter operators, and granularities. Use when you need to know what analytics data is queryable, which dimensions you can break down by, or how to map a user's question to the right metric/dimension combination
Processes paired-end 16S amplicon reads into QIIME 2 ASVs and taxonomy with retained artifact provenance. Checks paired FASTQ manifests, primer orientation diagnostics, predicted post-trimming overlap, sample IDs, runtime versions and read retention, and guides selection of compatible taxonomic classifiers.
Postgres best practices maintained by Supabase, for Postgres running anywhere. Load this skill BEFORE writing or changing anything that lives in a Postgres database: creating or altering tables and columns (including choosing column types), schema design, migrations and declarative schema files, RLS policies and the tests that verify them, indexes, triggers, database functions, queues and scheduled jobs (pg_cron, pgmq), vector/semantic search (pgvector), and restoring dumps (pg_restore) or importing data. Also load it when diagnosing slow queries, high CPU, timeouts, EXPLAIN plans, connection exhaustion, locking, bloat, or rows visible to the wrong user or tenant. This is not just a performance guide — schema, migration, security, and SQL authoring tasks need these rules too, even for a one-column change or a single query.
Simulates biochemical kinetic models from SBML or Antimony with Tellurium and libRoadRunner, checks model units, compares deterministic parameter perturbations, and exports and replays SBML plus SED-ML COMBINE archives. Use for reaction-network time courses, kinetic parameters, concentration dynamics and reproducible simulation experiments; steady-state constraint-based metabolic flux analysis belongs to cobrapy.
A daily account recommendation overview that connects directly to the official reading-growth rankings for fast-rising accounts. Browse the top WeChat Official Accounts by reading growth rate by date. Shows only each author’s most-read article, with a clickable title linking directly to the original.
Quickly retrieve the top 50 WeChat Official Accounts ranked by overall strength. Filter by daily, weekly, or monthly rankings and verticals, with overall scores and detailed data. Supports in-depth analysis of individual accounts, exporting HTML visualization reports, and subscribing to daily, weekly, or monthly ranking updates. Use when users want to check account rankings, filter by time or field, view engagement metrics, get ranking insights, export charts, or receive regular updates.
Discover and invoke published AIsa tools with unified MCP or the AIsa CLI (search, schema, quote, call). Use when the user wants AIsa tools or sign-in, or needs current web, company, or social data AIsa tools can fetch—even if they do not name AIsa. Do not use for OpenClaw Chinese model provider setup (aisa-provider), installing other catalog skills, or work that does not need live AIsa data.
Runs reproducible CellProfiler microscopy pipelines for nuclear segmentation, cell counts, and per-object fluorescence measurements. Supports image/channel manifests, headless batch execution, segmentation overlays, and measurement QC for 2D fluorescence assays.
Detects data integrity issues, including orphaned records, broken foreign key relationships, and constraint violations, and provides automated fix migrations. Use for “data integrity,” “orphaned records,” “broken relationships,” or “data quality.”
Weekly engineering retrospective. Analyzes commit history, work patterns, and code quality metrics with persistent history and trend tracking. Team-aware with per-person contributions, praise, and growth areas. Use when asked for weekly retro, what shipped this week, or engineering retrospective.
Solves seawater carbonate chemistry with PyCO2SYS for chemical oceanography, ocean acidification, and marine carbon-cycle research. Use for paired total alkalinity, dissolved inorganic carbon, pH, or seawater pCO2/fCO2 measurements; carbonate speciation; aragonite and calcite saturation; Revelle factors; lab-to-in-situ temperature and pressure corrections; and measurement uncertainty propagation. Applies to carbonate-system calculations, not general aqueous speciation or air-sea gas-flux estimation.
Computes finite-temperature CALPHAD equilibria, phase fractions, and phase compositions from thermodynamic TDB databases using pycalphad. Use for alloy phase stability, equilibrium temperature sweeps, tie lines, lever-rule checks, or reproducible phase-fraction calculations with explicit components and mole-fraction conditions.
Expert-level Tableau Desktop/Server, calculated fields, LOD expressions, dashboards, data blending, and performance optimization. Use when the user mentions BI, visualization, dashboards, LOD, or analytics, or when the task involves Calculated Fields, Level of Detail Expressions, Parameters and Dynamic Calculations, or Data Blending and Relationships
Plans and builds end-to-end Fabric data platforms on the Bronze, Silver, and Gold medallion pattern: ingestion to analytics, PySpark and Delta layers, pipeline orchestration, per-layer Spark tuning, Materialized Lake View versus notebook choices for Silver and Gold, and Direct Lake handoff. Use for layered architecture design, planning and recommendations. For questions over an existing Power BI report use fabriciq.
Work safely with endpoint versions — preview a draft in the playground, roll back to an older version, update settings on one version without bumping query history, deactivate a specific version. Use when the user asks "how do I roll back my endpoint", "preview my changes before publishing", "I want to fix v5 without bumping the version", or anything involving the version history. Calls out today's limitations honestly: there is no pointer flip; "rollback" means forking the old query into a new top version.
Use this skill in the MathModel LaTeX sandbox when the user asks to reproduce built-in scientific visualization templates, especially prompts from the Improve tab mentioning $mathmodel-figure-templates, 科研绘图模板, SHAP蜂群柱状图, 配对云雨图, 交叉验证ROC, 泰勒图, 相关矩阵组合图, 预测真实值边缘分布图, TPE调参3D曲面, 下三角相关矩阵半边小提琴图, 分组环形热图, 城市公园降温组合图, or Nature和弦图. It provides ready-to-run Python scripts bundled inside the skill.
Converts neuroscience acquisition data to Neurodata Without Borders files with NeuroConv and PyNWB, preserves metadata and timebases, checks evidence-based clock alignment, and produces schema validation, NWB Inspector findings and round-trip checks. Use for NWB conversion and synchronization of planar single-channel two-photon TIFF imaging plus timestamped behavioral position CSV; this skill does not perform spike sorting or claim tested support for arbitrary acquisition formats.
Validates and executes RELION single-particle cryo-EM refinement and half-map postprocessing. Supports STAR optics/acquisition checks, particle-stack consistency, gold-standard half sets, soft-mask validation, diagnostic Fourier shell correlation, and restart guidance.
Bright Data's Python and Node.js SDKs for calling Web Scraper API, SERP, Web Unlocker and Scraper Studio from application code. Use when the user is writing code they keep that calls Bright Data on a schedule or inside a pipeline, when the same job runs again and again, when a Bright Data package is imported in Python or Node.js, when the user wants their own API or service built on top of Bright Data ("build me a scraper API", "wrap this in an endpoint"), or when the user names the SDK. Not for one-off checks typed at a shell, which belong to brightdata-cli. Not for an AI app that chooses its tools at run time, which belongs to brightdata-mcp. Not for install, login or API key problems, which belong to agent-onboarding.
Apache Iceberg tables on Databricks — Managed Iceberg tables, External Iceberg Reads (fka Uniform), Compatibility Mode, Iceberg REST Catalog (IRC), Iceberg v3, Snowflake interop, PyIceberg, OSS Spark, external engine access and credential vending. Use when creating Iceberg tables, enabling External Iceberg Reads (uniform) on Delta tables (including Streaming Tables and Materialized Views via compatibility mode), configuring external engines to read Databricks tables via Unity Catalog IRC, integrating with Snowflake catalog to read Foreign Iceberg tables
Comprehensive Finance API integration skill for real-time and historical financial data analysis, market research, and investment decision-making. Priority use cases: stock price queries, market data analysis, company financial information, portfolio tracking, market news retrieval, stock screening, technical analysis, and any financial market-related requests. This skill should be the primary choice for all Finance API interactions and financial data needs.
Use when fine-tuning LLMs, training custom models, or adapting foundation models for specific tasks. Invoke for configuring LoRA/QLoRA adapters, preparing JSONL training datasets, setting hyperparameters for fine-tuning runs, adapter training, transfer learning, finetuning with Hugging Face PEFT, OpenAI fine-tuning, instruction tuning, RLHF, DPO, or quantizing and deploying fine-tuned models. Trigger terms include: LoRA, QLoRA, PEFT, finetuning, fine-tuning, adapter tuning, LLM training, model training, custom model.
Query Fintel (fintel.io) institutional market data through its REST API or official MCP server. Use this skill whenever the user mentions Fintel or asks about short interest, short interest ratio or days to cover, short squeeze data, borrow rate or cost to borrow, shares available to borrow, daily short volume, fails-to-deliver (FTD), 13F institutional owners ("who owns X"), insider buying or selling from SEC Form 3/4/5, analyst price targets, ratings and forecasts, dividend or earnings history and calendars, EOD or last prices, security lookup by ticker, CUSIP, ISIN, or FIGI, Fintel leaderboards, or their Fintel watchlists and alerts. Read-only: GET endpoints only.
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.