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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 11001 | git-city-3d-github-visualization | reason-machines/trending-skills |
Git City — 3D GitHub Profile Visualization Skill by ara.so — Daily 2026 Skills collection. Git City transforms GitHub profiles into a 3D pixel art city. Each user becomes a unique building: height from contributions, width from repos, window brightness from stars. Built with Next.js 16 (App Router), React Three Fiber, and Supabase. Quick Setup git clone https://github.com/srizzon/git-city.git cd git-city npm install Copy env template cp .env.example .env.local Linux/macOS copy .env.example .en...
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| 11002 | openviking-context-database | reason-machines/trending-skills |
OpenViking Context Database Skill by ara.so — Daily 2026 Skills collection. OpenViking is an open-source context database for AI Agents that replaces fragmented vector stores with a unified filesystem paradigm . It manages agent memory, resources, and skills in a tiered L0/L1/L2 structure, enabling hierarchical context delivery, observable retrieval trajectories, and self-evolving session memory. Installation Python Package pip install openviking --upgrade --force-reinstall Optional Rust CLI In...
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| 11003 | karpathy-jobs-bls-visualizer | reason-machines/trending-skills |
karpathy/jobs — BLS Job Market Visualizer Skill by ara.so — Daily 2026 Skills collection. A research tool for visually exploring Bureau of Labor Statistics Occupational Outlook Handbook data across 342 occupations. The interactive treemap colors rectangles by employment size (area) and any chosen metric (color): BLS growth outlook, median pay, education requirements, or LLM-scored AI exposure. The pipeline is fully forkable — write a new prompt, re-run scoring, get a new color layer. Live demo: ...
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| 11004 | json-render-generative-ui | reason-machines/trending-skills |
json-render Generative UI Framework Skill by ara.so — Daily 2026 Skills collection. json-render is a Generative UI framework that lets AI generate dynamic interfaces from natural language prompts, constrained to a predefined component catalog. AI outputs JSON; json-render renders it safely and predictably across any platform. Installation React (core) npm install @json-render/core @json-render/react React + shadcn/ui (36 pre-built components) npm install @json-render/shadcn React Native npm i...
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| 11005 | autoresearch-genealogy | reason-machines/trending-skills |
autoresearch-genealogy Skill by ara.so — Daily 2026 Skills collection. A structured system of autoresearch prompts, Obsidian vault templates, archive guides, and methodology references for AI-assisted genealogy research. Built for Claude Code's autonomous research loops, adaptable to any AI tool or manual workflow. What This Project Does Provides 12 Claude Code /autoresearch prompts that autonomously search the web, update your vault, and self-verify results Supplies a complete 19-file Obsidian ...
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| 11006 | modly-image-to-3d | reason-machines/trending-skills |
Modly Image-to-3D Skill Skill by ara.so — Daily 2026 Skills collection. Modly is a local, open-source desktop application (Windows/Linux) that converts photos into 3D mesh models using AI models running entirely on your GPU — no cloud, no API keys required. Architecture Overview modly/ ├── src/ Electron + TypeScript frontend │ ├── main/ Electron main process │ ├── renderer/ React UI (renderer process) │ └── preload/ IPC bridge ├── a...
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| 11007 | toon-format | reason-machines/trending-skills |
Token-Oriented Object Notation (TOON) Skill by ara.so — Daily 2026 Skills collection. TOON is a compact, human-readable encoding of the JSON data model that minimizes tokens for LLM input. It combines YAML-style indentation for nested objects with CSV-style tabular layout for uniform arrays, achieving ~40% token reduction while maintaining or improving LLM comprehension accuracy. Installation npm npm install @toon-format/toon pnpm pnpm add @toon-format/toon yarn yarn add @toon-format/toon CLI...
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| 11008 | translate-book-parallel | reason-machines/trending-skills |
Translate Book (Parallel Subagents) Skill by ara.so — Daily 2026 Skills collection. A Claude Code skill that translates entire books (PDF/DOCX/EPUB) into any language using parallel subagents. Each chunk gets an isolated context window — preventing truncation and context accumulation that plague single-session translation. Pipeline Overview Input (PDF/DOCX/EPUB) │ ▼ Calibre ebook-convert → HTMLZ → HTML → Markdown │ ▼ Split into chunks (~6000 chars each) │ manifest.json tracks SHA-256 hashes ▼ P...
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| 11009 | clui-cc-claude-overlay | reason-machines/trending-skills |
Clui CC — Claude Code Desktop Overlay Skill by ara.so — Daily 2026 Skills collection. Clui CC wraps the Claude Code CLI in a transparent, floating macOS overlay with multi-tab sessions, a permission approval UI (PreToolUse HTTP hooks), voice input via Whisper, conversation history, and a skills marketplace. It requires an authenticated claude CLI and runs entirely local — no telemetry or cloud dependency. Prerequisites Requirement Minimum Notes macOS 13+ Overlay is macOS-only Node.js 18+ LTS 20 ...
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| 11010 | trump-code-market-signals | reason-machines/trending-skills |
Trump Code — Market Signal Analysis Skill by ara.so — Daily 2026 Skills collection. Trump Code is an open-source system that applies brute-force computation to find statistically significant patterns between Trump's Truth Social/X posting behavior and S&P 500 movements. It has tested 31.5M model combinations, maintains 551 surviving rules, and has a verified 61.3% hit rate across 566 predictions (z=5.39, p<0.05). Installation git clone https://github.com/sstklen/trump-code.git cd trump-code pip ...
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| 11011 | memory-lancedb-pro-openclaw | reason-machines/trending-skills |
memory-lancedb-pro OpenClaw Plugin Skill by ara.so — Daily 2026 Skills collection. memory-lancedb-pro is a production-grade long-term memory plugin for OpenClaw agents. It stores preferences, decisions, and project context in a local LanceDB vector database and automatically recalls relevant memories before each agent reply. Key features: hybrid retrieval (vector + BM25 full-text), cross-encoder reranking, LLM-powered smart extraction (6 categories), Weibull decay-based forgetting, multi-scope i...
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| 11012 | openclaw-rl-training | reason-machines/trending-skills |
OpenClaw-RL Training Skill by ara.so — Daily 2026 Skills collection. OpenClaw-RL is a fully asynchronous reinforcement learning framework that converts live multi-turn conversations into training signals for personalized AI agents. It wraps a self-hosted model as an OpenAI-compatible API via OpenClaw , intercepts conversations, and continuously optimizes the policy in the background without interrupting usage. It also supports scalable RL for terminal, GUI, SWE, and tool-call agents. Architectur...
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| 11013 | slug-font-rendering | reason-machines/trending-skills |
Slug Font Rendering Algorithm Skill by ara.so — Daily 2026 Skills collection. Slug is a reference implementation of the Slug font rendering algorithm — a GPU-accelerated technique for rendering vector fonts and glyphs at arbitrary scales with high quality anti-aliasing. It works by encoding glyph outlines as lists of quadratic Bézier curves and line segments, then resolving coverage directly in fragment shaders without pre-rasterized textures. Paper: JCGT 2017 — Slug Algorithm Blog (updates): A ...
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| 11014 | zeroboot-vm-sandbox | reason-machines/trending-skills |
Zeroboot VM Sandbox Skill by ara.so — Daily 2026 Skills collection. Zeroboot provides sub-millisecond KVM virtual machine sandboxes for AI agents using copy-on-write forking. Each sandbox is a real hardware-isolated VM (via Firecracker + KVM), not a container. A template VM is snapshotted once, then forked in ~0.8ms per execution using mmap(MAP_PRIVATE) CoW semantics. How It Works Firecracker snapshot ──► mmap(MAP_PRIVATE) ──► KVM VM + restored CPU state (copy-on-write) (~0.8ms) Templat...
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| 11015 | taiwan-md-knowledge-base | reason-machines/trending-skills |
Taiwan.md Knowledge Base Skill by ara.so — Daily 2026 Skills collection. Taiwan.md is an open-source, AI-native knowledge base about Taiwan built with Astro v5. It uses a Single Source of Truth (SSOT) architecture where all content lives in the knowledge/ directory as Markdown files, and the website is a build-time projection. Features include bilingual support (Traditional Chinese as default + English), an interactive D3.js knowledge graph, and 96+ curated articles across 12 categories. Install...
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| 11016 | grimmory-self-hosted-library | reason-machines/trending-skills |
No SKILL.md available for this skill. View on GitHub Installs 1.3K Repository reason-machines…g-skills GitHub Stars 78 First Seen Mar 18, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Warn
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| 11017 | witr-process-inspector | reason-machines/trending-skills |
witr — Why Is This Running? Skill by ara.so — Daily 2026 Skills collection. witr is a Go CLI/TUI tool that answers "why is this running?" for any process, service, or port. Instead of leaving you to correlate ps , lsof , ss , systemctl , and docker ps manually, witr makes the causality chain explicit — showing where a running thing came from, how it was started, and what chain of supervisors/containers/shells is responsible. Installation Quickest (Unix) curl -fsSL https://raw.githubusercontent.c...
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| 11018 | pytest | bobmatnyc/claude-mpm-skills |
pytest - Professional Python Testing Overview pytest is the industry-standard Python testing framework, offering powerful features like fixtures, parametrization, markers, plugins, and seamless integration with FastAPI, Django, and Flask. It provides a simple, scalable approach to testing from unit tests to complex integration scenarios. Key Features: Fixture system for dependency injection Parametrization for data-driven tests Rich assertion introspection (no need for self.assertEqual) Plugi...
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| 11019 | conversion-optimization | kostja94/marketing-skills |
Strategies: Conversion Optimization Guides conversion rate optimization (CRO): increasing the percentage of visitors who complete desired actions. Higher conversion rates mean increased revenue, reduced CAC, and better ROI. Use this skill when optimizing funnels, running experiments, or reducing friction on high-traffic pages. When invoking : On first use , if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when th...
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| 11020 | context-engineering | neolabhq/context-engineering-kit |
Context Engineering Overview Feed agents the right information at the right time. Context is the single biggest lever for agent output quality — too little and the agent hallucinates, too much and it loses focus. Context engineering is the practice of deliberately curating what the agent sees, when it sees it, and how it's structured. When to Use Starting a new coding session Agent output quality is declining (wrong patterns, hallucinated APIs, ignoring conventions) Switching between different p...
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| 11021 | github-release | jezweb/claude-skills |
GitHub Release Sanitize and release projects to GitHub. Two-phase workflow: safety checks first, then tag and publish. Prerequisites gh CLI installed and authenticated ( gh auth status ) gitleaks installed for secrets scanning ( brew install gitleaks or download from GitHub) Git repository with a remote configured Workflow Phase 1: Sanitize Run these checks before any public release. Stop on blockers. 1. Scan for Secrets (BLOCKER) gitleaks detect --no-git --source = . --verbose If secrets found:...
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| 11022 | markdown-documentation | aj-geddes/useful-ai-prompts |
Markdown Documentation Overview Master markdown syntax and best practices for creating well-formatted, readable documentation using standard Markdown and GitHub Flavored Markdown (GFM). When to Use README files Documentation pages GitHub/GitLab wikis Blog posts Technical writing Project documentation Comment formatting Markdown Syntax Reference Headers H1 Header H2 Header H3 Header H4 Header H5 Header H6 Header Alternative H1 ============== Alternative H2 -------------- Text Formattin...
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| 11023 | design-game | playableintelligence/game-creator |
Performance Notes Take your time to do this thoroughly Quality is more important than speed Do not skip validation steps Design Game Run a UI/UX design pass on an existing game to improve visuals, atmosphere, and game feel. No design experience needed — this command analyzes your game and applies proven visual patterns. Instructions Analyze the game at $ARGUMENTS (or the current directory if no path given). First, load the game-designer skill to get the full design vocabulary and patterns. Step ...
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| 11024 | pentest-ai-agents | reason-machines/security-skills |
pentest-ai-agents Skill by ara.so — Security Skills collection. pentest-ai-agents transforms Claude Code into an offensive security research assistant through 35 specialized subagents. Each agent carries deep domain knowledge in specific areas: recon, web testing, Active Directory, cloud security, mobile/wireless pentesting, social engineering, payload crafting, reverse engineering, exploit chaining, detection engineering, and forensics. The agents route automatically based on task description—n...
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| 11025 | pentest-agents-bug-bounty-framework | reason-machines/security-skills |
Pentest Agents Bug Bounty Framework Skill by ara.so — Security Skills collection. Autonomous bug-bounty framework for Claude Code, Codex, Gemini, Cursor, Windsurf, Copilot, and OpenClaw. Ships 50 agents, 26 commands, 19 CLI tools, 11 skills, and 2 MCP servers (bounty platforms + writeup search). Includes 2,500 lines of concrete payloads, 7-Question Gate validation, autonomous hunt loops, A→B exploit chain building, persistent brain with endpoint tracking, and cross-IDE installer. Installation Fo...
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| 11026 | fusion-research | equinor/fusion-skills |
Fusion Research When to use Use this skill when a user needs a source-backed answer about the Fusion ecosystem. Show more
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| 11027 | audio-transcription | postplusai/postplus-skills |
Audio Transcription Use When The input is audio and the main job is speech-to-text, subtitle-ready timing, rough speech search, multilingual transcription, or durable transcript artifacts. Use video-transcription for video inputs and video-analysis for semantic video understanding. Do Not Use When The task belongs to ideation, QA, or another released skill listed in the handoff section. Required inputs are missing and guessing would change the result. Show more Installs 786 Repository postplusai...
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| 11028 | nextjs-typescript-tailwindcss-supabase | mindrally/skills |
Next.js TypeScript TailwindCSS Supabase You are an expert full-stack web developer focused on producing clear, readable Next.js code. You always use the latest stable versions of Next.js 14, Supabase, TailwindCSS, and TypeScript, and you are familiar with the latest features and best practices. You carefully provide accurate, factual, thoughtful answers, and are a genius at reasoning. Technical Preferences Employ kebab-case naming convention for components (example: my-component.tsx) Prioritiz...
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| 11029 | index-knowledge | tursodatabase/turso |
index-knowledge Generate hierarchical AGENTS.md files. Root + complexity-scored subdirectories. Usage --create-new Read existing → remove all → regenerate from scratch --max-depth=2 Limit directory depth (default: 5) Default: Update mode (modify existing + create new where warranted) Workflow (High-Level) Discovery + Analysis (concurrent) Launch parallel explore agents (multiple Task calls in one message) Main session: bash structure + LSP codemap + read existing AGENTS.md Score & Decide - ...
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| 11030 | react-expert | reactjs/react.dev |
React Expert Senior React specialist with deep expertise in React 19, Server Components, and production-grade application architecture. When to Use This Skill Building new React components or features Implementing state management (local, Context, Redux, Zustand) Optimizing React performance Setting up React project architecture Working with React 19 Server Components Implementing forms with React 19 actions Data fetching patterns with TanStack Query or use() Core Workflow Analyze requirements -...
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| 11031 | thought-based-reasoning | neolabhq/context-engineering-kit |
Thought-Based Reasoning Techniques for LLMs Overview Chain-of-Thought (CoT) prompting and its variants encourage LLMs to generate intermediate reasoning steps before arriving at a final answer, significantly improving performance on complex reasoning tasks. These techniques transform how models approach problems by making implicit reasoning explicit. Quick Reference Technique When to Use Complexity Accuracy Gain Zero-shot CoT Quick reasoning, no examples available Low +20-60% Few-shot CoT Have...
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| 11032 | python-patterns | sickn33/agentic-awesome-skills |
Python Development Patterns Idiomatic Python patterns and best practices for building robust, efficient, and maintainable applications. When to Activate Writing new Python code Reviewing Python code Refactoring existing Python code Designing Python packages/modules Core Principles 1. Readability Counts Python prioritizes readability. Code should be obvious and easy to understand. Show more Installs 1.8K Repository affaan-m/ecc GitHub Stars 239.2K First Seen May 19, 2026 Security Audits Gen Agent...
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| 11033 | loops-email-sending-best-practices | loops-so/skills |
Email Sending Best Practices This skill helps review and plan healthy email programs. It is generic by default, but it is intentionally skewed toward Loops guidance for SaaS, lifecycle, and transactional email. When To Use Use this skill when the task is about email quality, risk, or strategy rather than low-level API implementation. Typical use cases: diagnose poor inbox placement or sender reputation review consent flows, double opt-in, list hygiene, or unsubscribe behavior improve subject lin...
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| 11034 | xcodebuildmcp | getsentry/xcodebuildmcp |
XcodeBuildMCP Use XcodeBuildMCP tools instead of raw xcodebuild , xcrun , or simctl . Capabilities: Session defaults: Configure project, scheme, simulator, and device defaults to avoid repetitive parameters Project discovery: Find Xcode projects/workspaces, list schemes, inspect build settings Simulator workflows: Build, run, test, install, and launch apps on iOS simulators; manage simulator state (boot, erase, location, appearance) Device workflows: Build, test, install, and launch apps on phys...
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| 11035 | debugging | tursodatabase/turso |
Debugging When to use this skill Encountering runtime errors or exceptions Code produces unexpected output or behavior Performance degradation or memory issues Intermittent or hard-to-reproduce bugs Understanding unfamiliar error messages Post-incident analysis and prevention Instructions Step 1: Gather Information Collect all relevant context about the issue: Error details : Full error message and stack trace Error type (syntax, runtime, logic, etc.) When did it start occurring? Is it reproduci...
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| 11036 | antv-g2-chart | antvis/chart-visualization-skills |
G2 v5 Chart Code Generator You are an expert in AntV G2 v5 charting library. Generate accurate, runnable code following G2 v5 best practices. 1. Core Constraints / 核心约束 (MUST follow) container is mandatory : new Chart({ container: 'container', ... }) Use Spec Mode ONLY : chart.options({ type: 'interval', data, encode: {...} }) (V4 链式 API 见 Forbidden Patterns) chart.options() 只能调用一次 :多次调用会完整覆盖前一次配置,只有最后一次生效。多 mark 叠加必须用 type: 'view' + children 数组,而不是多次调用 chart.options() encode object : encode: { ...
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| 11037 | brand-visual-generator | kostja94/marketing-skills |
Components: Brand Visual Identity Guides visual identity for consistent brand presentation. Companies with consistent branding see up to 23-33% revenue lift; 94% of consumers say consistency influences buying decisions. When invoking : On first use , if helpful, open with 1-2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output. Initial Assessment Check for product marketing context f...
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| 11038 | reflect | neolabhq/context-engineering-kit |
Reflect Mine the current conversation for durable learnings, then route them into skill edits. When to invoke The user said "reflect" or "/reflect". A complex task (5+ tool calls) just landed cleanly and the recipe is worth keeping. The agent hit dead ends, found the working path, and the path generalizes. The user corrected the agent's approach mid-task. A non-trivial workflow emerged that isn't captured anywhere. Skip when the conversation is trivial, off-topic, or already covered by an existi...
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| 11039 | angular-best-practices | alfredoperez/angular-best-practices |
Modern Angular Best Practices A comprehensive set of 112 rules covering TypeScript strictness, signal-based reactivity, component architecture, template optimization, RxJS patterns, SSR hydration, bundle optimization, accessibility, routing, forms, testing, and styling — so every component, service, template, and route you build is fast, accessible, tested, and maintainable. Below are the key patterns organized by what you're working on. For edge cases or when you need specific code examples bey...
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| 11040 | cookie-policy-page-generator | kostja94/marketing-skills |
Pages: Cookie Policy Guides cookie policy page content for GDPR and transparency. Often separate from Privacy Policy. When invoking : On first use , if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output. Initial Assessment Identify: Cookie types : Essential, analytics, marketing, etc. Consent : Banner, preferences, management Jurisdiction : GDPR, ePrivacy, CCP...
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| 11041 | vulnerability-scanner | sickn33/agentic-awesome-skills |
Vulnerability Scanner Think like an attacker, defend like an expert. 2025 threat landscape awareness. 🔧 Runtime Scripts Execute for automated validation: Script Purpose Usage scripts/security_scan.py Validate security principles applied python scripts/security_scan.py <project_path> 📋 Reference Files File Purpose checklists.md OWASP Top 10, Auth, API, Data protection checklists Show more Installs 1.2K Repository sickn33/agentic…e-skills GitHub Stars 45.0K First Seen Jan 20, 2026 Security Audits ...
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| 11042 | platform-datamask-run | forcedotcom/sf-skills |
platform-datamask-run: Salesforce Data Mask End-to-End Operation Use this skill to operate the Salesforce Data Mask feature on a sandbox : configure a masking policy over PII fields, start a masking job, poll it to a terminal state, report which records were masked, and abort a run that is still in progress. Data Mask is sandbox-only — the run/abort REST endpoints return 403 on production (a runtime sandbox guard). Confirm the target org is a sandbox before starting. When This Skill Owns the Tas...
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| 11043 | frontend-developer | sickn33/agentic-awesome-skills |
You are a frontend development expert specializing in modern React applications, Next.js, and cutting-edge frontend architecture. Use this skill when Building React or Next.js UI components and pages Fixing frontend performance, accessibility, or state issues Designing client-side data fetching and interaction flows Do not use this skill when You only need backend API architecture You are building native apps outside the web stack You need pure visual design without implementation guidance Instr...
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| 11044 | react-email | vercel-labs/json-render |
React Email Build and send HTML emails using React components. A modern, component-based approach to email development that works across all major email clients. Installation npm i react-email Or scaffold a new project: npx create-email@latest cd react-email-starter npm install npm run dev Show more Installs 8.4K Repository resend/resend-skills GitHub Stars 169 First Seen Mar 30, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass
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| 11045 | langgraph | sickn33/agentic-awesome-skills |
LangGraph Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles and branches, persistence with checkpointers, human-in-the-loop patterns, and the ReAct agent pattern. Used in production at LinkedIn, Uber, and 400+ companies. This is LangChain's recommended approach for building agents. Role : LangGraph Agent Architect You are an expert in building production-grade AI agents with LangGraph. You ...
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| 11046 | wt-switch-create | max-sixty/worktrunk |
Arguments: $ARGUMENTS . Grammar: [<branch>] [<repo>] [-- <task>] . branch — optional; the branch name for the new worktree. When omitted, pick one (step 1 below). repo — optional path; create the worktree in this repo instead of the session's current one. task — optional; what to do inside the new worktree. No task means enter the worktree and wait. Tokens before the -- are the branch and/or repo: a path-shaped token (starting with / , ~ , ./ , or ../ ) is the repo; any other token is the branch...
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| 11047 | axiom-xcode-mcp | charleswiltgen/axiom |
Xcode MCP Router You MUST use this skill for ANY Xcode MCP interaction — setup, tool usage, workflow patterns, or troubleshooting. Xcode 26.3 ships an MCP server ( xcrun mcpbridge ) that exposes 20 IDE tools to external AI clients. This router directs you to the right specialized skill. When to Use Use this router when: Setting up Xcode MCP for the first time Configuring xcrun mcpbridge for any MCP client Using any Xcode MCP tool (file ops, build, test, preview) Building, testing, or previewing ...
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| 11048 | alpine-js | mindrally/skills |
Alpine.js Development You are an expert in Alpine.js for building lightweight, reactive web interfaces. Core Principles Write concise, technical responses with accurate Alpine.js examples Use Alpine.js for lightweight, declarative interactivity Prioritize performance optimization and minimal JavaScript Integrate seamlessly with Tailwind CSS and backend frameworks Alpine.js Fundamentals Directives x-data - Define reactive data for a component x-bind - Bind attributes to expressions x-on - Attac...
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| 11049 | rewardkit | harbor-framework/harbor |
Help the user write task verifiers with Reward Kit. Reward Kit is a lightweight Python package that turns a directory of criteria files into a reward score. Each criterion is a Python function call or a TOML judge file; folders become separate rewards. Setup in a Harbor task Put criteria alongside test.sh in the task's tests/ directory: tests/ ├── test.sh ├── checks.py programmatic criteria └── judge.toml optional LLM/agent judge Show more Installs 650 Repository harbor-framewor...
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| 11050 | ai-engineer | sickn33/agentic-awesome-skills |
You are an AI engineer specializing in production-grade LLM applications, generative AI systems, and intelligent agent architectures. Use this skill when Building or improving LLM features, RAG systems, or AI agents Designing production AI architectures and model integration Optimizing vector search, embeddings, or retrieval pipelines Implementing AI safety, monitoring, or cost controls Do not use this skill when The task is pure data science or traditional ML without LLMs You only need a quick ...
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