AI & ML

alwaysmeticulous Skill

Fix the visual diffs that have been reviewed and rejected on a Meticulous test run, following their review comments if given. Use when a user has reviewed the results of a test run and is handing off to an agent to implement the fixes.

buildgreatproducts-builder-os Skill

Use when building features with **Cursor** in any codebase and the work should go through a disciplined build → review → test → fix loop. Triggers on "run the build loop", "build the next task", "continue the plan", "build this feature properly", or any request to implement work from a plan file or a direct feature prompt. Builds from the plan (or the prompt if no plan exists), runs Cursor's `/review` and fixes every issue found, tests and verifies the feature end to end, fixes anything testing surfaces, and reports back once complete. Repeats until all plan tasks are checked off.

dalestudy Skill

mcp 서버 연결 문제를 분석하고 최신 specification 기준으로 구현을 검증한다. tools/list 또는 tools/call 오류, stdio sse http transport 이슈, resources prompts 라우팅 문제, inspector 기반 재현 테스트가 필요할 때 사용한다.

modular Bundle

Measures the task accuracy of text models served by MAX using standard benchmarks such as GSM8K, MMLU, HellaSwag, ARC, AIME, GPQA, TruthfulQA, WinoGrande, and BABILong. Use when benchmarking a served model, comparing it with model-card or reference scores, verifying that a new MAX model produces correct answers, or running repeatable dataset evaluations against a MAX OpenAI-compatible endpoint.

modular Bundle

Serve a model with MAX's `max serve` command: set up the environment (pixi or uv with the max-nightly conda channel / nightly wheel index), point the server at a Hugging Face repo or local checkpoint, target a custom architecture with `--custom-architectures`, and pick the right serve flags for the model. Use this whenever the user wants to run, launch, start, or host a model on MAX, bring up an OpenAI-compatible endpoint, serve a custom/ported architecture, debug a `max serve` startup failure, or figure out which serve flags (devices, quantization-encoding, max-length, task, trust-remote-code) a given model needs, even if they don't say "max serve" by name.

modular Bundle

Use when importing a new model architecture into MAX from a Hugging Face model ID. Triggers on: "import a model into MAX", "add model to MAX", "bring up <HF model> in MAX". Workflow: inspect Hugging Face config and modeling code, scaffold from a similar MAX architecture, implement each graph layer to match HF, serve, then verify against the Hugging Face reference. When the server runs but output is wrong (gibberish, greedy mismatch, coherent-then-diverges), load debug-model for the divergence hunt instead of scalar-tap iteration.

modular Bundle

Profile a model running on MAX to find where it spends time and whether the GPU is saturated. Use when the user asks to "profile my model," "where is my model spending time," "why is inference slow," "is my GPU being utilized," "how much GPU am I using," "get a kernel breakdown," "capture an nsys/rocprof/ncu trace of max serve," or wants to measure MAX inference performance. Works for any model MAX can run — built-in architectures and custom ones loaded with --custom-architectures — from a pip or pixi install (max generate, max serve, or a Python script) on NVIDIA or AMD GPUs. Decide cheapest-first: a GPU utilization check, then a kernel breakdown, then a single-kernel deep dive only when one kernel dominates.

modular Bundle

Benchmark a model served on MAX with the `max benchmark` command: measure throughput (tokens/sec), latency (TTFT, TPOT, inter-token latency), and GPU utilization by driving load against a running `max serve` endpoint. Use this whenever the user wants to benchmark, load-test, or measure the performance of a MAX model, get tokens-per-second / TTFT / TPOT numbers, run a concurrency or request-rate sweep, compare latency vs throughput, size a deployment, or produce benchmark JSON, even if they don't say "benchmark" by name. Also use when a `max benchmark` run fails to connect or reports zero/garbage numbers.

novotnyllc Bundle

Detects .NET intent for any C#, ASP.NET Core, EF Core, Blazor, MAUI, Uno Platform, WPF, WinUI, SignalR, gRPC, xUnit, NuGet, or MSBuild request from prompt keywords and repository signals (.sln, .csproj, global.json, .cs files). First skill to invoke for all .NET work — loads version-specific coding standards and routes to domain skills via `dotnet-advisor` before any planning or implementation. Do not use for clearly non-.NET tasks (Python, JavaScript, Go, Rust, Java).

novotnyllc Bundle

Routes .NET/C# requests to the correct domain skill and loads coding standards as baseline for all code paths. Determines whether the task needs API, UI, testing, devops, tooling, or debugging guidance based on prompt analysis and project signals, then invokes skills in the right order. Always invoked after `using-dotnet` detects .NET intent. Do not use for deep API, UI, testing, devops, tooling, or debugging implementation guidance.

therealharpaljadeja Skill

Set of skills for developing/building apps on Monad. Always start with this skill, this skill helps the agent/llm maneuver and choose the right skills for the task assigned to the agent, from the whole set of monskills.

petekp Skill

Give the human a fast, plain-English catch-up on what changed in the project: what the agents did, why, and what decisions need their input. Use this whenever the user asks to "catch me up", "what changed", "where are we", "recap", "brief me", "give me the rundown", "what did you do", "summarize the session", "fill me in", or otherwise signals they have been away and want to get back up to speed quickly. Built for someone steering several agent-driven projects at once who does not read the code closely but needs to grasp the core ideas, the choices made, and the open decisions well enough to steer. Trigger even if they do not use these exact words: any request to get oriented on recent progress should use this skill.

petekp Bundle

Turn the prompt supplied with this skill into a concise, auditable Codex Goal or explain why a Goal is not the right fit. Use when the user asks to draft, formulate, rewrite, tighten, or create a `/goal` from a plain-language task, especially for multi-step work that needs a durable objective, evidence-based completion, constraints, iteration policy, and a default adversarial review loop.

petekp Bundle

Perform evidence-driven, multi-subsystem audits of real codebases to find correctness bugs, race conditions, security gaps, stale documentation, dead code, and production-readiness risks. Use when asked to audit a system end-to-end, verify agent-written code before shipping, analyze a subsystem for correctness across multiple modules, or produce a structured risk report for a real implementation. Prefer other skills for a single isolated bug, a proposal or document review, or a dedicated dead-code cleanup.

streamlit Skill

Uploads agent-generated artifacts (specs, plans, learnings) to the streamlit.wiki for sharing via PR comments. Use when you have agent artifacts to share with reviewers.

streamlit Skill

Assesses whether branch or PR changes are high-risk for externally hosted or embedded Streamlit usage and recommends whether external e2e coverage with `@pytest.mark.external_test` is needed. Use during code review, PR triage, or test planning when changes touch routing, auth, websocket/session behavior, embedding, assets, cross-origin behavior, SiS/Snowflake runtime, storage, or security headers.

teneoprotocolai Skill

Use this skill when the user needs to discover which Teneo Protocol agent can handle token swaps, social media scraping, crypto data, product search, or related tasks via the bundled Teneo CLI.

teneoprotocolai Skill

The Amazon Agent is a high-performance tool designed to turn massive e-commerce datasets into structured, usable intelligence. Use this skill when the user needs Amazon via the bundled Teneo CLI and you need the live commands, arguments, or pricing before execution.

teneoprotocolai Skill

The TikTok Agent allows users to extract data from TikTok, including video metrics, creator profiles, and hashtag velocity, to bypass the limitations of. Use this skill when the user needs Tiktok via the bundled Teneo CLI and you need the live commands, arguments, or pricing before execution.

teneoprotocolai Skill

AI agent for Youtube via Teneo Protocol. Use this skill when the user needs Youtube via the bundled Teneo CLI and you need the live commands, arguments, or pricing before execution.

teneoprotocolai Skill

LinkedIn agent that helps you enrich LinkedIn profiles. You prodive a LinkedIn URL and it will return its data from LinkedIn, in a structured JSON format. Use this skill when the user needs LinkedIn via the bundled Teneo CLI and you need the live commands, arguments, or pricing before execution.

teneoprotocolai Skill

Cross-chain token bridge agent powered by LayerZero's Value Transfer API. Use this skill when the user needs LayerZero via the bundled Teneo CLI and you need the live commands, arguments, or pricing before execution.

teneoprotocolai Skill

The Google Maps Agent transforms geographical and local business data into structured, actionable intelligence. Use this skill when the user needs Google maps via the bundled Teneo CLI and you need the live commands, arguments, or pricing before execution.

teneoprotocolai Skill

AI agent for Squid Router via Teneo Protocol. Use this skill when the user needs Squid Router via the bundled Teneo CLI and you need the live commands, arguments, or pricing before execution.

teneoprotocolai Skill

AI agent for VC Attention via Teneo Protocol. Use this skill when the user needs VC Attention via the bundled Teneo CLI and you need the live commands, arguments, or pricing before execution.

teneoprotocolai Skill

Real-time multi-chain gas monitoring and spike detection. Use this skill when the user needs Gas War Sniper via the bundled Teneo CLI and you need the live commands, arguments, or pricing before execution.

teneoprotocolai Skill

The Instagram Agent allows users to extract data from Instagram, including posts, profiles, hashtags and comments, to bypass limitations of manual research. Use this skill when the user needs Instagram Agent via the bundled Teneo CLI and you need the live commands, arguments, or pricing before execution.

teneoprotocolai Skill

AI agent for Uniswap Monitor via Teneo Protocol. Use this skill when the user needs Uniswap Monitor via the bundled Teneo CLI and you need the live commands, arguments, or pricing before execution.

teneoprotocolai Skill

AI agent for X Platform Agent via Teneo Protocol. Use this skill when the user needs X Platform Agent via the bundled Teneo CLI and you need the live commands, arguments, or pricing before execution.

teneoprotocolai Skill

CoinMarketCap Agent The CoinMarketCap Agent provides comprehensive access to real-time and historical cryptocurrency market data through CoinMarketCap's. Use this skill when the user needs CoinMarketCap Agent via the bundled Teneo CLI and you need the live commands, arguments, or pricing before execution.

teneoprotocolai Skill

AI agent for Google Search Agent via Teneo Protocol. Use this skill when the user needs Google Search Agent via the bundled Teneo CLI and you need the live commands, arguments, or pricing before execution.

teneoprotocolai Skill

AI agent for CryptoQuant Pro 2.10 via Teneo Protocol. Use this skill when the user needs CryptoQuant Pro 2.10 via the bundled Teneo CLI and you need the live commands, arguments, or pricing before execution.

teneoprotocolai Skill

The Messari Tracker Agent serves as a direct bridge to Messari’s institutional-grade data sources, allowing users to extract BTC and ETH data without. Use this skill when the user needs Messari BTC & ETH Tracker via the bundled Teneo CLI and you need the live commands, arguments, or pricing before execution.

teneoprotocolai Skill

AI agent for Aave V3 Liquidation Watcher via Teneo Protocol. Use this skill when the user needs Aave V3 Liquidation Watcher via the bundled Teneo CLI and you need the live commands, arguments, or pricing before execution.

teneoprotocolai Skill

AI agent for Predexon Prediction Market Agent 1.5 via Teneo Protocol. Use this skill when the user needs Predexon Prediction Market Agent 1.5 via the bundled Teneo CLI and you need the live commands, arguments, or pricing before execution.

teneoprotocolai Skill

AI agent for Predexon Prediction Market Trading 1.5 via Teneo Protocol. Use this skill when the user needs Predexon Prediction Market Trading 1.5 via the bundled Teneo CLI and you need the live commands, arguments, or pricing before execution.