Skills
97,725 packaged capabilities and playbooks for agents. Install any of them with one command.
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Guides developers and testers in writing, fixing, and structuring Locust load test scripts in Python. Use this skill whenever the user mentions Locust, locustfile, HttpUser, TaskSet, load testing with Python, virtual users, spawn rate, wait_time, catch_response, LoadTestShape, ramp-up stages, or wants to benchmark an API or service using Locust — even if they do not explicitly say "Locust" or "load test".
Convert PDF files to a single vertically concatenated PNG image using macOS native CoreGraphics. Each page is rendered at 2x scale and stitched top-to-bottom. ~20x faster than pdftoppm+ImageMagick, zero external dependencies on macOS. Trigger when the user mentions "pdf to png", "pdf转png", "PDF转图片", "pdf拼接", "pdf截图", "convert pdf to image", or wants to turn a multi-page PDF into one long PNG.
Polish and elevate MBA thesis / dissertation to national outstanding thesis quality (全国优秀论文). Performs comprehensive improvement: academic language, argument structure, logical rigor, innovation highlights, and formatting. Input: markdown thesis text. Output: polished full text. Also trigger when the user mentions "论文润色", "MBA论文", "优秀论文", "thesis polish", "dissertation improvement", "学术润色".
Luo Xiang's perspective: view legal issues, social justice and life philosophy through the thinking framework of a criminal law professor at China University of Political Science and Law and a legal science communicator. Sources: the Bilibili channel "Luo Xiang talks criminal law", his books ("Circle Justice", "Lectures on Criminal Law", etc.), media interviews and more. Core models: 5. Decision heuristics: 9. Trigger words: "Luo Xiang", "Teacher Luo Xiang", "in Luo Xiang's way", "from Luo Xiang's perspective", "what would Luo Xiang think". Limitations: this is not a legal consulting service and cannot replace a lawyer's case-by-case analysis. The material centers on criminal law/rule of law/life philosophy, with insufficient data on civil and commercial law/administrative law. Research date: April 2026.
Practical analysis and trade-execution skill for A-share "MACD bullish divergence + second golden cross below the zero line". Turns a user's market-feel description into executable three-tier decisions (watchlist / trial entry / must abandon), intraday checklists, and entry and risk-control rules. Applies when the user mentions "second golden cross", "underwater second golden cross", "bullish divergence", "first leg second leg", "pullback bottom confirmation", "MACD divergence", "bottom-fishing repair", "want to enter but fear a false signal", and similar scenarios.
Add concise, useful JSDoc where IDE hover help or a generated API reference needs a non-obvious contract. Use for exported JavaScript or TypeScript APIs, components, hooks, classes, complex types, or package publishing. Not for internal code, narrating comments, prose docs or behaviour changes
Conduct market research, competitive analysis, investor due diligence and industry intelligence, with source citations and decision-oriented summaries. Use this skill when the user needs market sizing, competitor comparisons, fund research, technology scans, or research to support business decisions.
When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when the user mentions "psychology," "mental models," "cognitive bias," "persuasion," "behavioral science," "why people buy," "decision-making," or "consumer behavior." This skill provides 70+ mental models organized for marketing application.
Applies Material Design 3 Expressive typography principles including variable fonts, type scales, and hierarchy. Use this when working on text styling, type hierarchy, readable interfaces, or when the user asks to apply Material Design 3 typography guidelines.
Use this skill to classify tabular data end-to-end in MATLAB — load a dataset, prepare and clean it, select promising classifiers, train them, and compare accuracies with cross-validation, holdout, or hyperparameter optimization plus statistical tests. TRIGGER when: user asks to classify tabular data, pick classifiers for a dataset, compare classifier accuracy, run cross-validation or a holdout evaluation, or find the best model with statistical uncertainty. DO NOT TRIGGER when: user has non-tabular inputs (images, sequences, time series), wants a regression model, is training a specific neural network architecture (use matlab-train-network), or wants cost-sensitive learning or an arbitrary class-prior vector (this skill only supports the built-in uniform-prior toggle for imbalanced data).
Connects MATLAB to Databricks using JDBC drivers via Database Toolbox. Use when creating a JDBC connection to a Databricks cluster or SQL Warehouse, configuring Databricks authentication (PAT, OauthU2M, OauthM2M), selecting between Simba and OSS JDBC drivers, using databricks.JDBCConnection, StandaloneJDBCConnection, databricks.SQLWarehouse.connect(), or optimizing Databricks write performance.
Use when importing or exporting vehicle data from/to log files (MDF/MF4/DAT, BLF, ASC/TXT), decoding CAN/CAN FD/LIN messages to signals via DBC, ARXML, or LDF databases, writing timetable data to MDF or BLF files, or calling blfread, blfinfo, blfwrite, mdfRead, mdfWrite, mdfCreate, mdfInfo, canSignalImport, canMessageImport, canMessageTimetable, canFDMessageTimetable, canSignalTimetable, or linMessageTimetable.
Port MATLAB Data Acquisition Toolbox code from the discouraged (legacy) session-based interface (daq.createSession, addAnalogInputChannel, startBackground, DataAvailable listeners, queueOutputData, wait) to the recommended DataAcquisition interface (daq("ni"), addinput, start, ScansAvailableFcn, write, preload). Use when migrating legacy DAQ scripts, converting session-API calls, working with DataAcquisition objects, writing multi-feature DAQ scripts that combine triggers, callbacks, continuous acquisition, or analog output. Also use when a user says their DAQ script “used to work” or “errors on R20XX”, since modernizing legacy session-API code is a frequent fix for those failures. Trigger keywords: daq, DAQ, NI, session interface, addtrigger, addclock, ScansAvailableFcn, ScansRequiredFcn, daq.createSession, addAnalogInputChannel, startBackground, queueOutputData, DataAvailable, evt.Data, evt.TimeStamps, wait(d), preload, discouraged, legacy, modernize, R2020a.
Add speech-to-text voice input to .NET MAUI apps using CommunityToolkit.Maui. Covers speech recognition, microphone permissions, and hands-free text entry. Works with any UI pattern (XAML/MVVM, C# Markup, MauiReactor). USE FOR: "speech to text", "voice input", "speech recognition", "microphone input", "voice command", "dictation", "SpeechToText", "hands-free text", "transcribe speech". DO NOT USE FOR: text-to-speech output (different feature), media playback (use maui-media-picker), or general permissions (use maui-permissions).
Auto-generate MEDDIC-structured call prep scripts from prospect context. Pulls HubSpot deal + contact data, Apollo enrichment, CRM activity history, and calendar context to build a complete demo/discovery brief in 60 seconds. Use when: 'call prep', 'prep me for', 'demo prep', 'discovery prep', 'meddic brief', 'prep [company]', 'get me ready for [company]'.
Manage SSOT, memory, and cross-tool memory search. Guardian of decisions.md and patterns.md. Use when user mentions memory, SSOT, decisions.md, patterns.md, merging, migration, SSOT promotion, sync memory, save learnings, memory search, harness-mem, past decisions, or record this. Do NOT load for: implementation work, reviews, ad-hoc notes, or in-session logging.
Create maintainable Mermaid diagrams for software documentation, including flowcharts, sequence, class, ER, C4, architecture, state, git, gantt, chart, kanban, packet, venn, and ishikawa diagrams. Trigger when structure, relationships, sequencing, or architecture would be clearer visually, especially for persistent README, wiki, PR, or design-document diagrams. Verify the target renderer and Mermaid version before using version-sensitive or beta syntax.
Drive mex (`mex-agent`), persistent project memory and code graphs for AI coding agents. One command scaffolds a living wiki, builds a deterministic code graph, and installs a project anchor file (CLAUDE.md, root AGENTS.md, .cursorrules, .windsurfrules, copilot-instructions.md, or .opencode/opencode.json) that your agent auto-loads as a standing rule document. Use when the user wants to `mex setup` a new project, build a symbol-grounded wiki, keep knowledge connected to implementation, route relevant context to agents, or run drift detection (`mex check`, `mex sync`). Triggers on: "mex setup", "project memory", "code graphs", "codebase documentation", "drift detection", "agent memory", "structured scaffolds", "architectural context", "living wiki", "project anchor file".
Autonomously completes a confirmed milestone by reconciling existing work, coordinating work-item delivery and the configured milestone release, and closing the verified milestone. Use when the user runs /milestone-rush or asks to complete one exact, confirmed milestone, including selecting it after /roadmap-review.
Helps users run multiple concurrent mirrord sessions from a single mirrord-up.yaml (compose-style multi-service local debugging). Use when the user mentions mirrord up, mirrord-up.yaml, mirrord up init, debugging several related microservices together, or managing multiple mirrord sessions' lifecycle in one command.
Converts baseball and fantasy-baseball jargon into plain English for a user with zero baseball knowledge. Wraps every user-facing sentence produced by the MLB agent team (morning briefs, trade recommendations, waiver calls, chat summaries). Detects jargon terms, attaches an inline parenthetical plain-English gloss on first mention in a document, enforces the action-verb ladder (START / SIT / ADD / DROP / BID $X / ACCEPT / COUNTER / REJECT), and rejects assumed-knowledge phrases like "hot streak" or "positive matchup." Use when asked to translate for beginner, explain in plain English, translate this, write without jargon, make it beginner-friendly, or produce any user-facing MLB output for K L D'Souza's Fantasy Baseball 2K25 team.
Computes the weekly category state for a Yahoo H2H Categories matchup across all 10 scoring categories (R, HR, RBI, SB, OBP, K, ERA, WHIP, QS, SV). Pulls current totals from Yahoo, builds rest-of-week per-cat projections from roster + schedule, then DELEGATES matchup/per-cat win-probability math to `matchup-win-probability-sim`. Consumes the sim's `per_cat_win_probability` and `matchup_win_probability` to derive cat_position, cat_pressure, cat_reachability, and cat_punt_score, and emits a "push 6, punt N" plan that drives waiver, streaming, and lineup decisions. Use when user asks about "category state", "where am I winning", "should I punt", "matchup score", "cat pressure", weekly category planning, or which cats to push vs. concede.
Tracks the closer role and bullpen pecking order across all 30 MLB teams — who owns the ninth-inning job today, who is next in line if the current closer falters (the handcuff), and who carries DFA or demotion risk. Emits a per-reliever `save_role_certainty` signal (0-100) and flags speculation-worthy handcuffs for waiver bids. Use when the user mentions "closer", "save role", "handcuff", "ninth inning", "bullpen depth", lost save, blown save, committee, or when the waiver analyst needs to decide whether to spend FAAB on a backup reliever. This league uses SV as one of its five pitcher categories, but SV is also the most volatile and most punt-worthy cat, so tracking should always be paired with a punt-the-cat fallback recommendation.
Counts MLB games per team during the Yahoo fantasy playoff window (weeks 21, 22, 23 -- Aug 17 through Sep 6, 2026) and grades the quality of each team's opponents. Emits three signals per rostered player -- playoff_games (int, max ~21), playoff_matchup_quality (0-100), holding_value (0-100) -- that drive trade-deadline and playoff-lineup decisions. Use when the user mentions playoff weeks, weeks 21-23, playoff schedule, game count, holding value, or asks whether to keep/trade a player for the playoff run. Pre-July 1 this skill returns "insufficient signal -- too early"; from July 1 onward it fires weekly.
Enforces Mobbin MCP for real shipped-app design inspiration before UI/UX work. Use when designing, redesigning, or reviewing screens, flows, paywalls, onboarding, checkout, settings, empty states, marketing sections, or microcopy patterns; when the user says Mobbin, design inspiration, UI reference, pattern research, or benchmark against real apps. Requires Mobbin MCP search_screens, search_flows, and search_sections — do not invent UI from memory or substitute Dribbble/generic AI layouts.
Molten OS Core — create or audit high-converting landing pages (build → index.html + styles.css, or 22-point audit). Use for landing page, waitlist, sales page, or conversion review. Reads `molten-docs/brand/brand.md` and `molten-docs/design/design.md` when present. Routes to build or audit workflow by intent.
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.