Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
Data & databases
Analyzes Korean and U.S. government bond markets using official yield data, presenting curve changes, Korea–U.S. yield spreads, and confirmed government bond auction and monetary policy schedules in a consistent format. Use when asked for comparisons of Korean and U.S. government bond yields, recent changes, key schedules, or sourced reports. Does not cover real-time quotes, individual bond valuation, or trading recommendations.
Inspired by the event_study, event_impact_analysis, and CalendarAlignment structures in GS Quant, it summarizes key changes and market interpretations of scheduled announcements and irregular events using official materials, contemporaneous reports, and verified prices. It examines cross-asset transmission channels, presents event studies as supporting evidence, and explains comparable cases and upcoming catalysts in Korean. Use for named market-moving events. Not for live quotes, forecasts, or investment advice.
Run a validated Admin GraphQL operation against a specific store using Shopify CLI. Use this when the user wants an executable store workflow, not just the query or mutation text. If the answer should include `shopify store auth` and `shopify store execute`, choose this API. Choose this for 'my store', 'this store', a store domain, product reads on a merchant store, low-inventory lookups, product updates, and warehouse/location inventory changes. Examples: 'Show me the first 10 products on my store', 'Find products with low inventory on my store', 'Set inventory at the Toronto warehouse so SKU ABC-123 is 12'.
Execute approved PlanetScale changes end-to-end without per-step approval when the operator has explicitly acknowledged the risk. Defines the risk-acknowledgment contract, scoped autonomy levels, sensible execution ordering, continuous status reporting, halt conditions, and rollback discipline. Extremely safe, very enabling.
Analyzes sales data from PayPal and QuickBooks to find top performers and slow movers, layers in seasonality, and produces a prioritized 30-day content brief: what to push, what offers to run, what to hold. Strategic output only — no calendars or assets. Use when the user asks what to post, wants a content plan, asks what's selling, or what to promote this month.
Instrument an existing codebase with LaunchDarkly config tracking. Walks the four-tier ladder (managed runner → provider package → custom extractor + trackMetricsOf → raw manual) and picks the lowest-ceremony option that still captures duration, tokens, and success/error.
Build production-ready Bright Data integrations with best practices baked in. Reference documentation for developers using coding assistants (Claude Code, Cursor, etc.) to implement web scraping, search, browser automation, and structured data extraction. Covers Web Unlocker API, SERP API, Web Scraper API, and Browser API (Scraping Browser).
A template-driven skill for data visualization, PPT presentations, and full-page report generation. It can generate HTML charts strictly from the actual implementations in Lupi, Basics, Glance, Maps, and Interactive gallery; create HTML/PDF presentations with Presentation Mode; or generate full-page HTML reports from report templates. Mono is the fallback; it can automatically select built-in color presets based on data semantics and also supports user-provided custom palettes. Use maps only when explicitly requested, and do not mix color schemes within the same deliverable.
Use when the user wants to find patterns in what content works and what doesn’t. Also use when the user mentions “what’s working,” “content patterns,” “best topics,” “best format,” “best time to post,” “analyze my content,” “do more of,” “do less of,” or “what should I change.” For raw metrics, see performance-analyzer-sms. For audience-specific analysis, see audience-growth-tracker-sms. For actionable recommendations, see optimization-advisor-sms.
Chinese financial data access using AkShare library. Fetch real-time and historical data for A-shares, Hong Kong stocks, US stocks, futures, funds, and macroeconomic indicators. Use when user requests Chinese market data, stock prices, market analysis, or financial information from Chinese exchanges. Supports stock quotes, historical data, futures market data, fund information, macroeconomic indicators, and real-time market updates.
When the user wants to set up, debug, or interpret app install attribution — including SKAdNetwork (SKAN), Apple's AdAttributionKit, Google Play Install Referrer, MMPs (AppsFlyer, Adjust, Singular, Branch, Kochava), deep links, deferred deep links, conversion values, postback windows, or privacy thresholds. Use when the user mentions "SKAdNetwork", "SKAN", "SKAN 4", "AdAttributionKit", "AAK", "MMP", "AppsFlyer", "Adjust", "Singular", "Branch", "attribution", "conversion value", "postback", "Install Referrer", "deferred deep link", "iOS 14.5", "ATT", "App Tracking Transparency", "IDFA", or "I can't measure my ad campaigns". For paid campaign strategy, see ua-campaign and apple-search-ads. For analytics events, see app-analytics.
Identifies Oracle-to-PostgreSQL migration risks by cross-referencing code against known behavioral differences (empty strings, refcursors, type coercion, sorting/collations, UNION ALL planner risks, materialized-view refresh requirements, timestamps, concurrent transactions, etc.). Use when planning a database migration, reviewing migration artifacts, or validating that integration tests cover Oracle/PostgreSQL differences.
Extract and interpret embedded file metadata with exiftool — EXIF GPS coordinates, camera make, model and serial, DateTimeOriginal and CreateDate timestamps, XMP and IPTC fields, and Office and PDF properties such as Author, Company, LastModifiedBy, template paths and revision counts. Use when reading EXIF from a photo, checking who really wrote a document, dating a file, fingerprinting a camera or phone, or investigating provenance in JPEG, HEIC, RAW, MP4, DOCX, XLSX or PDF. Applies to document-provenance disputes, insider-leak attribution, evidence handling, and pre-publication redaction checks. Reference at useosint.com/skills/secrets-in-file-metadata.
Generate user demand research reports from real user feedback. Scrape and analyze feature requests, complaints, and questions from Reddit, X, GitHub, YouTube, LinkedIn, and Amazon. Use when user wants to do demand research, find feature requests, analyze user demand, or run RequestHunt queries.
Migrates Oracle PL/SQL stored procedures to PostgreSQL PL/pgSQL. Translates Oracle-specific syntax, preserves method signatures and type-anchored parameters, leverages orafce where appropriate, and applies explicit collation mapping (`COLLATE "C"` only when appropriate, locale collations when required). Use when converting Oracle stored procedures or functions to PostgreSQL equivalents during a database migration.
Understand images and videos with Qwen vision models. Trigger when the user wants to analyze, describe, or extract information from images or videos, perform OCR text extraction, read charts or tables, do visual reasoning or multi-image comparison, understand screenshots or videos, or explicitly invokes this skill by name (e.g. use qwencloud-vision). Do not trigger when the user wants to generate or create images (use qwencloud-image-generation), generate videos (use qwencloud-video-generation), handle text-only tasks without visual input, or use non-Qwen vision tasks
Trace cryptocurrency addresses and transactions on public blockchains using block explorers including Etherscan, Blockchair, mempool.space and Blockscout. Covers common-input clustering, ENS resolution, exchange deposit addresses, mixers, CoinJoin, Tornado-style pools, cross-chain bridges, and OFAC sanctions screening. Use when following a Bitcoin or Ethereum wallet, investigating where a ransom or scam payment went, or checking an address against sanctions listings. Applies to ransomware incident response, AML and sanctions compliance, fraud recovery and asset tracing, and financial-crime investigation. Reference at useosint.com/skills/follow-the-crypto.
Diagnoses and improves Qdrant search relevance. Use when someone reports 'search results are bad', 'wrong results', 'low precision', 'low recall', 'irrelevant matches', 'missing expected results', or asks 'how to improve search quality?', 'which embedding model?', 'should I use hybrid search?', 'how to combine keyword and vector search / fusion / RRF / prefetch?', 'should I use reranking?', 'relevance feedback?', 'how to measure retrieval quality?', 'build a golden set', 'ground truth dataset', 'how to score recall@k?', 'is my improvement real / statistically significant?', or 'should I fine-tune my embedding model?'. Also use when search quality degrades after quantization, model change, or data growth.
Creates integration test cases targeting Oracle for .NET data access artifacts. Tests capture Oracle expected behavior as the authoritative baseline; they are written once and later ported to PostgreSQL by migrating the test project in Phase 6. Use only during Phase 3, before any PostgreSQL migration work has begun. Do not invoke during Phase 6 or against a project that has already been migrated.
Use this when the page-import pipeline needs to fetch a source webpage and prepare it for import/migration to AEM Edge Delivery Services. Covers scraping content, extracting metadata, downloading images, and returning analysis JSON with paths, metadata, cleaned HTML, and local images. Do not invoke directly — called by page-import as a pipeline step.
Closes the books and turns them into a decision as a three-link chain — month-end-prep reconciles the ledger against every connected payment processor and writes the P&L narrative, cash-flow-snapshot then refreshes the 30/60/90-day forecast off the newly closed numbers rather than raw ones, and report-builder publishes and distributes the close packet. Requires a ledger (MYOB, NetSuite, QuickBooks, Xero, or Zoho Books) and uses Gusto, PayPal, Ramp, Shopify, Square, and Stripe when connected, falling back to statement or CSV uploads. Trigger on “close the month,” “month-end,” “close the books,” “reconcile,” “send the close packet to my accountant,” or when the owner asks why revenue or margin moved last month. An owner who wants only the reconciliation and its flags, with no forecast refresh and no packet distribution, routes to month-end-prep directly.
Discovers all projects in a .NET solution, classifies each for Oracle-to-PostgreSQL migration eligibility, and produces a persistent master migration plan. Use when starting a multi-project Oracle-to-PostgreSQL migration, creating a migration inventory, or assessing which .NET projects contain Oracle dependencies
Discover and evaluate scientific datasets, models, methodology posts, and Spaces through the Hugging Science catalog. Use when selecting scientific ML resources in biology, chemistry, genomics, materials, climate, physics, astronomy, medicine, mathematics, protein design, single-cell analysis, or PDE modeling, and when checking their actual datasets, Transformers, native-runtime, Inference Providers, or Gradio interfaces
World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, or implementing data governance.
Produces a one-page cross-functional business snapshot for SMB owners — cash position (the ledger: MYOB, NetSuite, QuickBooks, Xero, or Zoho Books), sales trend (PayPal/Square/Stripe), pipeline movement (HubSpot), this week's commitments (Calendar), urgent watch-list items (Gmail or M365, Slack), and the single most important thing needing attention today. Proactively tries every available connector and gracefully scopes to whatever is connected — one connector gives a partial pulse; the full stack gives the full picture. Trigger when the user asks how the business is doing, wants a snapshot, a daily brief, a Friday recap, or says anything like “what am I missing” or “catch me up on the business.” A start-of-week briefing routes to /monday-brief, which runs this skill as its first link.
Design experiment plans with progressive stages—initial implementation, baseline tuning, creative research, and ablation studies. Plan baselines, datasets, hyperparameter sweeps, and evaluation metrics. Use when planning experiments for a research paper
Creates structured bug reports for defects found during Oracle-to-PostgreSQL migration. Use when documenting behavioral differences between Oracle and PostgreSQL as actionable bug reports with severity, root cause, and remediation steps.
Databricks CLI operations and the parent/entry-point skill for Databricks CLI use: authentication, profile selection, and bundles. Load this first for CLI, auth, profile, and bundle tasks, then load the matching product skill. For finding or exploring data, answering questions about the data, or generating SQL, load the databricks-data-discovery skill (it routes to Genie One). Contains up-to-date guidelines for Databricks-related CLI tasks.
Comprehensive PostgreSQL database engineering skill covering indexing strategies, query optimization, performance tuning, partitioning, replication, backup and recovery, high availability, and production database management. Master advanced PostgreSQL features including MVCC, VACUUM operations, connection pooling, monitoring, and scalability patterns.
Stock investment research execution engine that carries out an 8-stage due diligence process. Receives structured research instructions generated by stock-question-refiner, deploys multiple agents for parallel research, and produces a cited investment due diligence report. Covers company facts, industry cycles, business breakdown, financial quality, ownership and governance, market disagreements, valuation and competitive moat, and the comprehensive report. Use this skill when users need stock investment research, fundamental analysis, or investment due diligence
Analyze the bond futures basis by pricing futures, identifying the cheapest-to-deliver, and comparing with yield curves to assess delivery option value and basis trading opportunities. Use when analyzing bond futures, computing the basis, identifying CTD bonds, calculating implied repo rates, or evaluating basis trades.
Build professional financial services data packs from various sources, including CIMs, offering memorandums, SEC filings, web search, or MCP servers. Extract, normalize, and standardize financial data into investment committee-ready Excel workbooks with consistent structure, proper formatting, and documented assumptions. Use for M&A due diligence, private equity analysis, investment committee materials, and standardizing financial reporting across portfolio companies. Do not use for simple financial calculations or working with already-completed data packs
Runs standard or fixed-channel softmax finetuning of NV-Segment-CT VISTA3D on CT NIfTI image/label datasets, with optional MONAI-native MLflow tracking and checkpoint evidence. Uses softmax for predefined, mutually exclusive classes; keeps the standard workflow when point prompts or runtime-variable classes are needed. Not for clinical validation.
Build an entity-relationship link-analysis graph of an investigation — nodes, typed edges carrying source and confidence, aliases, and temporal validity — to expose shared infrastructure, bridging nodes and the real principal behind a frontman. Covers Maltego, Neo4j and Cypher, Gephi, centrality and community detection, and entity resolution. Use when an investigation has outgrown a list and needs a graph, or when asked how a set of people, companies and domains connect. Applies to fraud-ring and shell-network detection, AML and sanctions-evasion analysis, and complex corporate-structure work. Reference at useosint.com/skills/graph-the-network.
Creates, edits, analyzes, or converts Excel spreadsheets (.xlsx, .xlsm, .xltx) where the workbook file is the primary deliverable. Use for formulas, formatting, financial models, multi-sheet workbooks, and tabular cleanup exported to Excel. Also applies to .csv/.tsv when the user wants spreadsheet output. Do NOT use for Word documents, HTML reports, standalone Python scripts, database pipelines, or Google Sheets API work.
When the user wants to analyze how their social media posts are performing. Also use when the user mentions 'analytics,' 'performance,' 'how did my posts do,' 'engagement,' 'impressions,' 'what's working,' 'post metrics,' 'my best posts,' or 'why isn't this post performing.' Uses BlackTwist analytics when available, works from user-provided data otherwise. For audience growth specifically, see audience-growth-tracker-sms. For pattern detection, see content-pattern-analyzer-sms. For actionable next steps, see optimization-advisor-sms.
Use the PlanetScale CLI (pscale) from automated agents with --format json, auth check, pscale sql, and per-command --force. Run before other PlanetScale skills when driving pscale directly. Use when the user asks to automate pscale, run CLI commands headless, or verify pscale auth from an agent.
Creates an integration testing plan for .NET data access artifacts during Oracle-to-PostgreSQL database migrations. Analyzes a single project to identify repositories, DAOs, and service layers that interact with the database, then produces a structured testing plan. Use when planning integration test coverage for a migrated project, identifying which data access methods need tests, or preparing for Oracle-to-PostgreSQL migration validation.
Deep-dive a subject's social media presence — profile metadata, follower and mutual network, content analysis, and posting-time pattern of life across Instagram, Facebook, X/Twitter, TikTok, LinkedIn, Reddit, Telegram and Discord. Use when profiling a social account, mapping someone's associates, inferring a subject's timezone or routine from their posts, or archiving a profile before it is deleted. Applies to threat assessment and executive protection, insider-threat investigation, pre-litigation research, and personal exposure audits — with explicit limits on profiling uninvolved third parties. Reference at useosint.com/skills/pattern-of-life-from-socials.
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.