Skills
97,725 packaged capabilities and playbooks for agents. Install any of them with one command.
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AWS CLI v2 quick reference for experienced developers. Covers compute (Lambda, ECS, EKS), storage (S3, DynamoDB, Aurora), networking (VPC, SSM tunneling), security (IAM, Secrets Manager), and GitHub Actions CI/CD. Use when asked to “write aws commands,” “debug aws access,” “set up cross-account roles,” “configure aws cli,” “assume role,” “S3 bucket operations,” or “deploy to ECS.”
Schedules work in Convex: cron jobs in convex/crons.ts, one-off scheduled functions with runAfter and runAt, batching large jobs, and cancelling or inspecting the queue. Use when something needs to run on a timer, later, or in the background, or when a cron is not firing
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.
When the user wants to design, test, or improve their app icon to increase tap-through rate and conversions in App Store search and browse. Use when the user mentions "app icon", "icon design", "icon A/B test", "icon variants", "tap-through rate", "icon conversion", "icon refresh", or wants to know what makes a good app icon. For screenshot optimization, see screenshot-optimization. For full listing A/B tests, see ab-test-store-listing.
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.
Brand-aware social media video creator. Reads brand-identity.md, ICP.md, and messaging.md to write a post/storyboard, craft an optimized Seedance 2.0 Director prompt, generate reference frames with the best available image model, and produce platform-ready video.
Use this skill instead of WebSearch for ANY question requiring web research. Trigger on queries like "what is X", "explain X", "compare X and Y", "research X", or before content generation tasks. Provides systematic multi-angle research methodology instead of single superficial searches. Use this proactively when the user's question needs online information
Inspired by GS Quant’s approach to structuring Instrument/Data, organizes Korean bonds into standard Bond Instrument fields and searches and compares issuance terms, outstanding balance, CALL/PUT, and CB/EB/BW by security name, issuer, or ISIN, with sources. Use for Korean bond lookup or comparison. Not for live quotes, YTM, credit opinions, or investment advice.
Draft a professional customer-facing response tailored to the situation and relationship. Use when answering a product question, responding to an escalation or outage, delivering bad news like a delay or won't-fix, declining a feature request, or replying to a billing issue
Investigate a Grafana Cloud k6 test — describe the script, list run history, identify pass/fail status, pull raw metric time-series and log lines for one or more runs, and (if asked) safely edit the test script. Use when the user asks about a specific k6 cloud test or run, gives a `/a/k6-app/tests/<id>` or `/a/k6-app/runs/<id>` URL, asks "is this test passing", "why are my k6 tests failing", "show me metrics for run X", "show me logs for run X", or wants to add thresholds / fix a failing test. Trigger this skill even when the user doesn't explicitly say "investigate" — pasted `/a/k6-app/...` URLs, "why did run X fail", "what happened with my test", "is my test healthy", "the latest run looks weird", "checks are failing but the run says passed", or any request to diagnose a Grafana Cloud k6 run all qualify.
CRITICAL: Use for ALL Rust questions including errors, design, and coding. HIGHEST PRIORITY for: 比较, 对比, compare, vs, versus, 区别, difference, 最佳实践, best practice, tokio vs, async-std vs, 比较 tokio, 比较 async, Triggers on: Rust, cargo, rustc, crate, Cargo.toml, 意图分析, 问题分析, 语义分析, analyze intent, question analysis, compile error, borrow error, lifetime error, ownership error, type error, trait error, value moved, cannot borrow, does not live long enough, mismatched types, not satisfied, E0382, E0597, E0277, E0308, E0499, E0502, E0596, async, await, Send, Sync, tokio, concurrency, error handling, 编译错误, compile error, 所有权, ownership, 借用, borrow, 生命周期, lifetime, 类型错误, type error, 异步, async, 并发, concurrency, 错误处理, error handling, 问题, problem, question, 怎么用, how to use, 如何, how to, 为什么, why, 什么是, what is, 帮我写, help me write, 实现, implement, 解释, explain
Salesforce Connected Apps and External Client Apps OAuth configuration with 120-point scoring. Use this skill to configure OAuth flows, JWT bearer auth, Connected Apps, and External Client Apps in Salesforce. TRIGGER when: user configures OAuth flows, JWT bearer auth, Connected Apps, ECAs, or touches .connectedApp-meta.xml / .eca-meta.xml files. DO NOT TRIGGER when: configuring Named Credentials for callouts (use building-sf-integrations), reviewing permission policies (use deploying-metadata), or writing Apex token-handling code (use generating-apex).
Iteratively improve a PR (GitHub), MR (GitLab), or shelved changelist (Perforce) until Greptile gives it a 5/5 confidence score with zero unresolved comments. Triggers the Greptile review, fixes all actionable comments, pushes/re-shelves, re-triggers the review, and repeats. Use when the user wants to fully optimize a PR/MR/CL against Greptile's code review standards.
Use this skill whenever the user wants speech to sound more human, companion-like, or emotionally expressive. Triggers include: any mention of 'say like', 'talk like', 'speak like', 'companion voice', 'comfort me', 'cheer me up', 'sound more human', 'good night voice', 'good morning voice', or requests to add fillers, emotion, or personality to generated speech. Also use when the user wants to mimic a specific character's voice, apply speaking style presets (goodnight, morning, comfort, celebration, chatting), tune emotional parameters like warmth or tenderness, or make TTS output feel like a real person talking. If the user asks for a 'voice message', 'companion audio', 'character voice', or wants speech that sighs, laughs, hesitates, or sounds genuinely warm, use this skill. Do NOT use for plain text-to-speech without personality, music generation, sound effects, or general coding tasks unrelated to expressive speech.
Building three.js scenes from React with React Three Fiber and drei: renderer setup, the scene graph as JSX, frame-loop, state and loading hooks, pointer events, and adaptive performance, on WebGL or with WebGPU and TSL. Use when writing React components that render three.js.
Generate a weekly performance summary from closed trader-memory-core theses — win rate, expectancy, profit factor, R-multiple, MAE/MFE, and win/loss pattern analysis by source skill, exit reason, thesis type, sector, and mechanism. No API required; pure local calculation.
Align a fine-tuned model with preference data using DPO, ORPO, KTO, or SimPO. Use when preference pairs or thumbs-up/down feedback exist, when choosing between preference-optimization methods, or when a DPO run needs hyperparameters or debugging.
Comprehensive security and correctness audit of a branch's changes. Use for thermo nuclear, thermonuclear, or deep review requests, or branch/PR diff audits focused on bugs, breaking changes, security issues, devex regressions, and feature-gate leaks.
Vitest API and config reference (Jest-compatible) — mocking with vi.*, spies, fake timers, coverage configuration, fixtures, snapshots, and test filtering. Use for Vitest API and configuration questions anywhere in the monorepo; for Studio-specific test strategy and component-test setup, start with studio-testing and studio-mock-api-tests.
AI-powered image generation for Salesforce visuals via Nano Banana Pro. Use this skill when the user needs rendered PNG/SVG output such as visual ERDs (Entity Relationship Diagrams), UI mockups, wireframes, or architecture illustrations. TRIGGER when: user asks for PNG/SVG output, UI mockups, wireframes, visual ERDs, or says "generate image" / "create mockup". DO NOT TRIGGER when: text-based Mermaid diagrams (use generating-mermaid-diagrams), or non-visual documentation tasks.
Diagnose what state one open PR is actually in — unfinished plan steps, missing review, unresolved conversations, red CI, base conflicts, missing QA evidence, merge-ready — then run the matching chain of om-* skills in order and publish a status report. Use for "finish PR 123", "what is left on PR 123", "drive PR 123 to the end".
Swiss-style user-research narrative template in warm-paper editorial aesthetics. Use when users ask for a premium research deck or story-first live artifact with minimalist typography, high-clarity layout, subtle motion, donut breakdowns, and keyboard/click navigation across slides in a single HTML file.
Use when building custom agent backends, implementing the AG-UI protocol, debugging streaming issues, or understanding how agents communicate with frontends. Covers event types, SSE transport, AbstractAgent/HttpAgent patterns, state synchronization, tool calls, and human-in-the-loop flows.
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.