Skills
99,448 packaged capabilities and playbooks for agents. Install any of them with one command.
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Analyzes events through a legal lens using statutory interpretation, case law analysis, legal reasoning, constitutional principles, and multiple legal frameworks (common law, civil law, international law). Provides insights on legal rights, obligations, liabilities, remedies, and compliance requirements. Use when: legal disputes, contracts, regulations, compliance, rights analysis, liability assessment. Evaluates: legal obligations, rights, liabilities, remedies, precedent, statutory authority, constitutionality.
C++ and Rust memory model skill for concurrent programming. Use when understanding memory ordering, writing lock-free data structures, using std::atomic or Rust atomics, diagnosing data races, or selecting the correct memory order for atomic operations. Activates on queries about memory ordering, acquire-release, seq_cst, relaxed atomics, happens-before, memory barriers, std::atomic, or Rust atomic ordering.
Design and manage reference data systems — security master, client master, account master, identifier mapping, pricing data sources, golden source designation, and governance. Use when building or evaluating a security master database, mapping identifiers across systems (CUSIP to ISIN, SEDOL to FIGI), designing client master models for onboarding or KYC, defining account master attributes across custodians, designating golden sources and MDM patterns across systems, establishing a pricing vendor hierarchy with fallback order, establishing reference data governance and stewardship, handling identifier changes from corporate actions, or troubleshooting issues traced to missing or changed identifiers. Trigger on: security master, CUSIP, ISIN, SEDOL, FIGI, client master, account master, pricing data, reference data, golden source, MDM, master data, identifier mapping, data governance, vendor hierarchy.
SAP HANA Machine Learning Python Client (hana-ml) development skill. Use when: Building ML solutions with SAP HANA's in-database machine learning using the Python hana-ml library for PAL/APL algorithms, DataFrame operations, AutoML, model persistence, and visualization. Keywords: hana-ml, SAP HANA, machine learning, PAL, APL, predictive analytics, HANA DataFrame, ConnectionContext, classification, regression, clustering, time series, ARIMA, gradient boosting, AutoML, SHAP, model storage
Facilitates the final step of a proven ideal-customer (ICP) method: synthesizing the working files — strengths and weaknesses, honed keystones, deal-breakers, and inciting events — into CAROL.md, the crisp definition of the ideal customer. The definition leads the file, behavioral and attitudinal, never demographic unless genuinely determinative; every marker must clear the bar that Marketing can target it, Sales can qualify against it, and Product can build features to thrill it. Brief reference sections on keystones, deal-breakers, and inciting events follow, because positioning, marketing, and feature work consume them. When keystone segments diverge, the skill forces the choice of a primary rather than averaging. Load when the user has the working files and says 'define our Carol,' 'write our ideal customer profile,' or 'who is our ICP.' Do NOT load to produce the upstream files (observations through inciting events), or to write the positioning, ads, or feature plans that start FROM this definition.
Complete CLI harness for FreeCAD parametric 3D CAD modeler (258 commands). Covers ALL workbenches: Part (29 primitives + boolean + mirror + loft + sweep), Sketcher (26 cmds: geometry + constraints + editing), PartDesign (38 cmds: pad/pocket/groove/fillet/chamfer/patterns/hole/datum), Assembly (11 cmds), Mesh (16 cmds), TechDraw (15 cmds: views + dimensions + PDF/SVG), Draft (33 cmds: 2D shapes + arrays + transforms), FEM (12 cmds), CAM/CNC (10 cmds), Surface (6 cmds), Spreadsheet (7 cmds), Import (13 formats), Export (17 formats), Measure (12 cmds), Materials (21 presets). Headless FreeCAD export to STEP/IGES/STL/OBJ/DXF/PDF/glTF/3MF.
Design and optimize CRM systems and client lifecycle workflows for advisory firms, covering segmentation, household management, service tiers, and retention analytics. Use when the user asks about client segmentation models, building household structures, defining service tier SLAs, scheduling reviews, tracking lifecycle stages from prospect through estate, identifying at-risk clients, analyzing wallet share, consolidating held-away assets, or evaluating CRM platforms. Also trigger when users mention 'client segmentation', 'retention risk', 'at-risk clients', 'household linking', 'multi-generational', 'service tiers', 'Redtail', 'Wealthbox', 'Salesforce for advisors', 'referral tracking', or 'contact gap.'
Run applicable prioritization frameworks (RICE, ICE, MoSCoW, Weighted Scoring, Kano) against a list of features or initiatives. Produces a comparison table showing where rankings agree and diverge across frameworks, and an executive summary with recommendation. Framework applicability is filtered by data availability; Kano requires customer research. Refuses to fabricate scores; produces an estimation scaffold when input data is missing.
FreeRTOS skill for embedded RTOS development. Use when creating tasks, managing priorities, using queues and mutexes, detecting stack overflows, configuring FreeRTOS via FreeRTOSConfig.h, or debugging FreeRTOS applications with OpenOCD and GDB. Activates on queries about FreeRTOS tasks, queues, semaphores, mutexes, configASSERT, stack overflow, vTaskDelay, or FreeRTOS-aware debugging.
Coordinates multi-session, delegated, or long-running work with persistent state, recovery checks, and explicit status transitions. Use when a task spans multiple turns, multiple agents, background jobs, or scheduled loops, or when interrupted work must be resumed reliably.
Guide post-trade compliance monitoring and trade surveillance system design. Use when building alert logic to detect churning, front-running, cherry-picking, layering, spoofing, wash trading, or marking the close, implementing post-trade best execution review, evaluating allocation fairness with pro-rata verification or dispersion analysis, designing exception-based monitoring workflows with escalation paths, correlating trading with MNPI events for insider trading detection, building personal trading surveillance for preclearance and blackout enforcement, determining SAR or blue sheet or CAT reporting triggers, or tuning surveillance thresholds to reduce false positives. Also covers turnover ratios, cost-to-equity ratios, and investigation case management.
Develops data processing pipelines, integrations, and machine learning scenarios in SAP Data Intelligence Cloud. Use when building graphs/pipelines with operators, integrating ABAP/S4HANA systems, creating replication flows, developing ML scenarios with JupyterLab, or using Data Transformation Language functions. Covers Gen1/Gen2 operators, subengines (Python, Node.js, C++), structured data operators, and repository objects.
Use when comparing Scenario models on the same brief through MCP: a bake-off with shared prompts and inputs, cost, generation time and quality measured side by side, choosing a default model, testing a new release against the incumbent, or finding which model handles a style, edit, or reference image best. Keywords: model comparison, benchmark, bake-off, A/B test, contact sheet, cost per asset, latency.
Use when producing UGC-style creator videos with Scenario: a talking-head ad or testimonial from a portrait and a script, a founder clip, a product demo or unboxing, a reaction or before-and-after cut, a faceless voiceover over b-roll, or vertical social video for TikTok, Reels, or Shorts that should feel filmed on a phone rather than produced. Keywords: UGC, creator ad, talking head, testimonial, avatar, lipsync, founder video, social proof, faceless voiceover, organic, vertical video
Search, install, and manage Agent Skills locally and from GitHub, then help decide whether the task really needs a skill or another customization primitive. Use when looking for skills, installing skills, managing a skill collection, or choosing between a skill, prompt, instruction, or agent.
Create forensically sound bit-for-bit disk images with dd or dcfldd on a Linux forensic workstation, preserving evidence integrity through hash verification (MD5/SHA) during acquisition. Use when imaging a suspect drive, USB device, or memory card for investigation, preserving volatile disk evidence during incident response, or producing a verified copy for legal or law-enforcement proceedings before any destructive analysis.
Design, build, and optimize dashboards for RIA practice management with AUM tracking, revenue analytics, and KPI frameworks. Use when the user asks about tracking firm-level metrics, monitoring advisor productivity, measuring organic growth rate, analyzing client retention and attrition, building executive or branch manager views, setting up exception alerts for NIGO and operational items, benchmarking against industry peers, or designing role-based dashboard access. Also trigger when users mention 'how is the practice doing', 'revenue per advisor', 'client attrition', 'net new assets', 'effective fee rate', 'practice benchmarking', 'AUM growth decomposition', or 'advisor capacity'.
Crypto market data from AiCoin Open API v3 — 200+ exchanges, real time. Use whenever the user asks about crypto prices, K-lines, funding rates, open interest, long/short ratios, whale/big orders, liquidation maps, order-book depth, news and newsflashes, Twitter/X posts, trending coins, airdrops and airdrop research, project analysis, exchange listings, crypto stocks, treasury and Grayscale holdings (BTC/ETH), fear & greed indices, market signals, or AI coin picks. Triggers: 'BTC price', '查行情', '看价格', '大饼多少钱', 'K线', '资金费率', '多空比', '持仓量', '鲸鱼单', '大单', '清算', 'liquidation map', '深度', '快讯', '推特', '热门币', 'trending', '空投', '空投研报', '项目分析', '上了哪些交易所', 'ETF', '监管', '灰度', '国库', '上市公司持币', '恐慌贪婪指数'. ALWAYS run the script for real data — NEVER invent prices or use web_search/web_fetch/browser for crypto data. Use aicoin-hyperliquid for HL whale/trader analytics, aicoin-trading for CEX orders, aicoin-freqtrade for bots, aicoin-onchain for DEX swaps.
Facilitates the fourth step of a proven ideal-customer (ICP) method: refining classified weaknesses into deal-breakers — the circumstances that disqualify the product outright, no matter how well everything else fits — and mapping the anti-market segments who therefore will never buy. Takes the weaknesses from a strengths chart (W1, W2, …) plus a keystones file (K1, K2, …), walks the weaknesses one at a time, records deal-breakers with their anti-market segments in DEALBREAKERS.md (D1, D2, …), then HONES the keystones: appending the qualifiers each deal-breaker forces ('…processing at least $5,000/mo'), editing KEYSTONES.md under its frozen numbers with a change log. Load when the user has keystones and weaknesses and asks who will never buy, what their anti-market is, or 'run the deal-breakers step.' Do NOT load to derive keystones from strengths (the previous step), to find inciting events (the next step), or to write the final ideal-customer definition.
Facilitates the fifth step of a proven ideal-customer (ICP) method: mapping inciting events — the specific trigger moments that move a perfect-fit customer from could-buy-someday to buying-today. Takes a keystones file (K1, K2, … with market segments) and, when available, customer-interview findings; walks the keystones one at a time, harvesting real trigger stories from interview evidence (marked observed) and working backward through brainstorm lenses — crises, seasonal cycles, strategic windows, personal life-changes — for the rest (marked hypothesized), recording each event with the keystone it couples to and how to find prospects in that condition, in INCITING-EVENTS.md (E1, E2, …). Load when the user has keystones and asks what makes customers buy now, what triggers a purchase, or 'run the inciting-events step.' Do NOT load to derive keystones or deal-breakers (previous steps), to write the final ideal-customer definition (next step), or to write the ads themselves.
Facilitates the third step of a proven ideal-customer (ICP) method: refining classified strengths into keystones — the specific characteristics, behaviors, or circumstances that make a customer NEED an extreme version of a strength, badly enough to drive the purchase alone. Takes a strengths chart (S1, S2, … — file or pasted), walks the strengths one at a time asking who requires an extreme version of each, gates every candidate on naming a real market segment that typifies it (no segment = table stakes, cut), and records survivors in KEYSTONES.md (K1, K2, … with [S] references and example segments). Delivers the strategic verdict when few or none survive: the product isn't compelling yet. Load when the user has classified strengths and asks who needs them, who their target market is, or 'turn our strengths into keystones.' Do NOT load to classify strengths and weaknesses (the previous step), to derive deal-breakers or the anti-market (the next step), or to write the final ideal-customer definition (later).
Facilitates the first step of a proven ideal-customer (ICP) method: gathering raw, honest, specific observations about what a company and product actually are — before any judgment about strengths or weaknesses. Walks the user through twelve unsparing question categories (what customers praise, the complaint with no defense, what separates your most profitable customers, and more) — or processes a team's write-storm notes one observation at a time — and records the results in OBSERVATIONS.md (numbered O1, O2, …), vivid and unevaluated. For a company operating online, it first scans public reviews and press into an External Research section that seeds it. Load when the user wants to figure out their ideal customer, take an honest look at their company, run a strengths-and-weaknesses exercise from scratch, or says 'who is our Carol' or 'what are we actually good at.' Do NOT load to classify observations into strengths and weaknesses (the next step), or for personal self-reflection unrelated to a company.
Provides comprehensive code review guidance for React 19, Vue 3, Angular 17+, Svelte 5, Rust, TypeScript, Java, PHP, Python, Django, Go, C#/.NET, Kotlin, NestJS, C/C++, and more. Helps catch bugs, improve code quality, and give constructive feedback. Use when: reviewing pull requests, conducting PR reviews, code review, reviewing code changes, establishing review standards, mentoring developers, architecture reviews, security audits, checking code quality, finding bugs, giving feedback on code.
Audit and validate Flux CD GitOps repositories by scanning local repo files (not live clusters) — runs Kubernetes schema validation, detects deprecated Flux APIs, reviews RBAC/multi-tenancy/secrets management, and produces a prioritized GitOps report. Use when users ask to audit, analyze, validate, review, or security-check a GitOps repo.
Migrates an Ionic or Capacitor project off Ionic Appflow (access ends Dec 31, 2027). Use when the repo contains @capacitor/live-updates, cordova-plugin-ionic, a plugins.LiveUpdates block (appId, channel, autoUpdateMethod, maxVersions), LiveUpdates.sync()/reload() calls, ionic deploy or appflow CLI commands, .io-config.json, or Appflow build/store-deploy workflows, and the user wants Capgo live updates, Capgo Cloud Build or repo-owned CI builds, and repo-owned store publishing. Maps Appflow channels, update strategies, and API calls to @capgo/capacitor-updater. Do not use for Ionic Enterprise plugins such as Identity Vault, Auth Connect, or Secure Storage (ionic-enterprise-sdk-migration), Capawesome live updates (capawesome-live-update-migration), or a fresh Capgo setup with no Appflow history (capgo-live-updates)
Turn confirmed schedules, social slate decisions, and sponsor lists into attendee-facing programs with time-first wayfinding and publish-safe social copy—not posters, invitations, or slide decks. Use when the user asks for a conference program, festival booklet, gala run-of-show, performance playbill, or multi-day badgeholder agenda. Create event programs with AI-native design and the highest aesthetic standards, powered by the K2F format and engine. Purpose-built for AI agents, K2F lets them focus on semantic content and design intent while automatically handling layout, typography, and formatting complexity
Guide a first-time user through Pipefy AI toolkit setup (Cursor Marketplace plugin, hosted MCP, local install.sh, or Claude Code plugin). Use when the user asks to install Pipefy MCP, connect Claude/Cursor to Pipefy, run /pipefy:install, or set up mcp.pipefy.com. Do not use for day-to-day Pipefy workflows after MCP is already working.
Comprehensive SAP Business Technology Platform (BTP) reference for cloud development, deployment, and operations. Use when setting up BTP accounts, working with Cloud Foundry environment, deploying to Kyma (Kubernetes, serverless), developing in ABAP environment (RAP, CDS), managing entitlements and quotas, configuring identity providers (XSUAA), using btp CLI or CF CLI, deploying multi-target applications (MTA), setting up connectivity (destinations, Cloud Connector), implementing CI/CD pipelines, extending SAP solutions, or troubleshooting BTP services. Covers all three runtime environments.
Use when reference images, screenshots, moodboards, style frames, brand boards, cinematic stills, product interface shots, or a live site URL must become a production design system, design tokens, art direction, motion rules, or a YAML style specification. Covers reverse engineering visual references into a deterministic YAML contract with graded confidence, evidence boundaries, and typefaces drawn from the live Google Fonts catalog and ranked as rarely used. Not for generating images or for ordinary frontend work where no reference has to be decoded first.
Use when migrating users or authentication from another provider (Firebase, Cognito, Supabase, Clerk, or custom auth) to Auth0. Covers bulk user import, gradual migration strategies, and updating JWT validation — use even if the user says "switch our auth to Auth0" or "move our users to Auth0".
AWS Bedrock AgentCore comprehensive expert for deploying and managing AI agents at scale. Use when working with any AgentCore service including Gateway, Runtime, Memory, Identity, Code Interpreter, Browser, Observability, Agent Registry, or Evaluations. Covers agent deployment, MCP tool integration, credential management, agent discovery, governance workflows, and automated quality assessment. Essential when user mentions AgentCore, agent runtime, agent registry, agent evaluation, MCP gateway, deploy agent, register MCP server, discover agents, evaluate agent quality, agent credentials, or wants to build, deploy, catalog, or monitor AI agents on AWS.
Build or update a chronology from declared document sources and uploads — dated events extracted, de-duped, and tagged by significance per the matter theory. Use when the user asks to build a chronology or timeline from a production or matter file, says "chron from the production" or "what happened when", or needs a working, statement-of-facts, or witness-specific timeline.
Ensure firms claiming GIPS compliance under the CFA Institute Global Investment Performance Standards satisfy requirements for composite construction, performance calculation, presentation, and verification. Use when the user asks about building composites, time-weighted return calculation under GIPS, GIPS Reports and pooled fund reports, error correction policies, wrap fee or SMA program performance under GIPS, GIPS verification, or GIPS advertising guidelines. Also trigger when users mention "claiming GIPS compliance", "composite membership rules", "terminated portfolio returns", "gross vs net of fees under GIPS", or "GIPS verification findings". (For SEC Marketing Rule and FINRA 2210 regulatory compliance of marketing materials, use advertising-compliance.)
Condense long articles into X platform posts (200-500 characters), preserving core viewpoints and personal style. Use when the user mentions "turn it into a Weibo post," "post to Xiaohongshu," "social media," or "shorten the article."
Production-grade Playwright testing toolkit. Use when the user mentions Playwright tests, end-to-end testing, browser automation, fixing flaky tests, test migration, CI/CD testing, or test suites. Generate tests, fix flaky failures, migrate from Cypress/Selenium, sync with TestRail, run on BrowserStack. 55 templates, 3 agents, smart reporting.
This archived skill provides legacy guidance for SAP BTP Intelligent Situation Automation data export, unsubscription, and configuration review. It should be used only when maintaining existing ISA tenants, exporting data before access is removed, or understanding historical situation automation setups. The skill covers Event Mesh integration, destination configuration, system onboarding, user management with role collections, automatic situation resolution, unsubscription, and troubleshooting for existing deployments. Keywords: SAP BTP, Intelligent Situation Automation, ISA, situation handling, SAP S/4HANA, SAP S/4HANA Cloud, Event Mesh, Business Event Handling, situation automation, situation dashboard, analyze situations, SAP_COM_0345, SAP_COM_0376, SAP_COM_0092, SituationAutomationKeyUser, SituationAutomationAdminUser, Cloud Connector, cf-eu10, CA-SIT-ATM, business situations, situation types, situation actions
Use when generating video with Vidu models on Scenario via MCP: text-to-video, image-to-video from a single still, start and end frame interpolation, reference-to-video keeping characters and props consistent from up to 7 reference images or reference videos, anime-style motion, movement amplitude control, or deciding between Q3, Q2, Q1, and 2.0 tiers. Keywords: Vidu Q3 Pro, Q2 Turbo, Shengshu Technology, T2V, I2V, R2V, Reference2V, start end frame, background music toggle
Comprehensive guide for implementing Syncfusion React popup components including Dialog, ToolTip. Use this when building modal/modeless dialogs, confirmation popups, forms in dialogs, draggable windows, popovers, tooltips, and overlaid content with custom positioning, animations, WCAG 2.2 accessibility, forms integration, and event handling in React applications.
Plans and executes turning an existing web app, PWA, or SPA into a store-ready Capacitor iOS and Android app. Use when the user wants to wrap a website or PWA as a mobile app, worries about Apple guideline 4.2 minimum functionality or thin-WebView rejection, needs a phased migration plan (static build, Capacitor shell, native UX, plugins, permissions, offline, account deletion, in-app purchase vs web billing, demo account, Play closed testing), or asks what still breaks after the first successful cap sync. Do not use for framework build configuration alone (framework-to-capacitor), Cordova apps (cordova-to-capacitor), final store submission mechanics (capacitor-app-store), or an Apple rejection audit (capacitor-apple-review-preflight).
Bring local CSV, TSV, TXT, JSON, JSONL (NDJSON), XLS, XLSX, and Parquet files — and Feishu sheet / Bitable (多维表格) URLs — into AE end-to-end: identify the source's business meaning, generate and confirm a tracking plan, transform rows into UE records, and upload. Also supports privacy-preserving local analysis and handing a small file to AE Agent. Use whenever a user wants to import offline/local data or a Feishu sheet / Bitable into AE, or analyze a file without uploading it. Trigger words: 本地数据导入 / 离线数据 / 数据文件 / 文件导入 / 文件上报 / CSV 导入 / Excel 导入 / TSV 导入 / JSON 导入 / Parquet 导入 / 飞书表格导入 / 在线表格导入 / 飞书多维表格导入 / 多维表格导入 / 在线多维表格导入 / 导入到 AE / 导入到 ThinkingAI / local data import / import local file / parquet import / import Feishu sheet / import Feishu Bitable.
Automate Adobe After Effects via ExtendScript. Use when the user asks to create, modify, or query anything in an After Effects project — layers, keyframes, expressions, effects, compositions, assets, rendering, batch operations. Generates and executes JSX ExtendScript via osascript on macOS.
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.