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SkillsMP는 yanacuti1121/Yana-AI에서 1,566개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
yanacuti1121/Yana-AI수집된 skill 1,566개 중 40개를 표시합니다.
Fix accessibility issues hands-on — focus management, keyboard traps, missing ARIA labels, skip links, color contrast failures, interactive element sizing, and screen reader announcements. Use when asked to "fix accessibility issues", "keyboard navigation…
원문 언어: 영어
Fix animation jank and layout thrashing — compositor-only properties, will-change hints, avoiding layout-triggering CSS, GPU layer promotion, requestAnimationFrame usage, reduced-motion support, and auditing with DevTools Performance panel. Use when asked to…
원문 언어: 영어
Build streaming and generative UI with Vercel AI SDK — useChat, useCompletion, streamText, streamUI, tool calling in the UI layer, loading states for streaming, error boundaries, and AI-native component patterns. Use when asked about "Vercel AI SDK",…
원문 언어: 영어
Coordinate multiple AI agents using Git as the shared protocol — issues as task queues, branches as agent workspaces, PRs as deliverables, and commit messages as structured agent signals. Use when asked about "GNAP", "git native agent", "agents coordinating…
원문 언어: 영어
Eliminate generic-looking UI — anti-default checklist, custom hover states, precision typography, non-stock spacing, surface depth, and production-grade polish that separates professional from template. Use when asked to "make this look less generic", "UI…
원문 언어: 영어
Make interfaces feel responsive and alive — micro-interactions, spring physics, press states, optimistic updates, skeleton loaders, cursor feedback, sound design hints, and delight moments. Use when asked to "make this feel better", "interface feels…
원문 언어: 영어
Minimize token cost and latency with Anthropic prompt caching — cache breakpoints, static vs dynamic block separation, skills snapshot pre-computation, context invalidation strategy, and 90% cost reduction patterns for repeated system content. Use when asked…
원문 언어: 영어
Build cognitive security firewalls against prompt injection, jailbreak attacks, and Unicode homoglyph smuggling. Instruction-data segregation, jailbreak token filtering, LLM-as-a-Judge semantic guard, and system prompt reinforcement.
원문 언어: 영어
Diagnose and fix React component health issues — unnecessary re-renders, missing keys, stale closures, useEffect misuse, memory leaks, bundle size regressions, and dangerouslySetInnerHTML XSS risks. Use when asked to "React performance audit", "why does this…
원문 언어: 영어
Autonomous multi-source research agent group. Given an unknown bug or technology topic, research-team spawns parallel sub-agents to search StackOverflow, GitHub Issues, official docs, and changelogs. Synthesizes findings into a ranked solution report.…
원문 언어: 영어
Build and customize UI components with shadcn/ui — component installation, CSS variable theming, Radix UI primitive composition, variant patterns with cva(), dark mode wiring, and extending components without forking. Use when asked about "shadcn",…
원문 언어: 영어
Secure the software supply chain — SBOM generation, dependency provenance verification, package integrity (Sigstore/npm provenance), lockfile auditing, typosquatting detection, CI artifact signing, and dependency update policy. Use when asked about "SBOM",…
원문 언어: 영어
Multi-path reasoning before acting. Agent generates 3 candidate solutions, self-scores each on correctness/token-cost/safety, selects the best branch, and backtracks if it hits a dead end. Use before /deep-heal or any complex fix. Inspired by…
원문 언어: 영어
Apply zero-trust architecture to services — mTLS with SPIFFE/SPIRE, per-request authentication, short-lived credentials, least-privilege service accounts, network policy enforcement, and audit logging every access decision. Use when asked about "zero trust",…
원문 언어: 영어
Build production AI agents with Agno (formerly Phidata) — define Agent with model/tools/instructions/memory/knowledge, compose Agent Teams with coordinator routing, add Storage for persistence, and integrate RAG via built-in KnowledgeBase with PDF/URL/text…
원문 언어: 영어
Write production-safe code that survives maintenance — avoid the 15 patterns AI agents commonly generate that work on day 1 but break 3 months later; enforce error handling, logging, type safety, no magic values, and testable structure before writing any code.
원문 언어: 영어
REST API design — versioning, pagination, error responses, idempotency, rate limiting, OpenAPI spec
원문 언어: 영어
Build conversational multi-agent systems with AutoGen (AG2) — define AssistantAgent and UserProxyAgent, set up GroupChat with GroupChatManager for round-robin or auto routing, enable code execution, and compose nested chats or sequential pipelines.
원문 언어: 영어
Use when an AI agent needs to control a browser, automate web tasks, scrape pages, fill forms, or click buttons autonomously. Triggers on: 'browser automation', 'web agent', 'browser-use', 'AI browse', 'tự động duyệt web', 'điều khiển trình duyệt', 'scrape…
원문 언어: 영어
Systematic code review checklist — correctness, security, performance, maintainability, AI-specific anti-patterns
원문 언어: 영어
Crawl and extract web content for AI with Crawl4AI — async browser-based crawling with clean Markdown output, CSS/XPath/LLM extraction strategies, chunking, screenshot capture, session reuse for SPAs, and Docker deployment.
원문 언어: 영어
Build multi-agent pipelines with CrewAI — define Agents with roles/goals/backstory, assemble them into a Crew, assign Tasks sequentially or in parallel, and wire LLM + tools per agent.
원문 언어: 영어
DeepEval — LLM evaluation framework, RAG metrics, hallucination detection, red-teaming, CI/CD integration
원문 언어: 영어
Program LM pipelines with DSPy — define Signatures (input/output fields), build Modules (ChainOfThought, ReAct, Predict), compose them into Programs, then optimize with Teleprompters (BootstrapFewShot, MIPRO, COPRO) to auto-improve prompts from examples.
원문 언어: 영어
Production error handling — typed errors, Result type, error boundaries, structured logging, retry strategies
원문 언어: 영어
Scrape and crawl websites for AI with Firecrawl — scrape single URLs to clean Markdown/HTML, crawl entire sites with depth/path filters, extract structured data with LLM schema, use map to discover all URLs, and batch scrape multiple pages in parallel.
원문 언어: 영어
Use when extracting structured data (JSON, typed objects) from LLM responses with validation and retries. Triggers on: 'instructor', 'structured output', 'extract JSON from LLM', 'pydantic llm', 'LLM return JSON', 'trích xuất dữ liệu từ LLM', 'LLM trả về…
원문 언어: 다국어 혼합
LLM observability with Langfuse — tracing, evals, prompt management, cost tracking
원문 언어: 영어
Use when building stateful multi-step agents, agent graphs, or workflows with LLMs. Triggers on: 'langgraph', 'state graph', 'stateful agent', 'agent workflow', 'agent loop', 'multi-step agent', 'persistent agent', 'human-in-the-loop agent', 'agent with…
원문 언어: 영어
Call 100+ LLMs through a single OpenAI-compatible interface with LiteLLM — use completion/acompletion/embedding with any provider (Anthropic, OpenAI, Google, Groq, Ollama, etc.), run a proxy server for team rate-limiting and cost tracking, load-balance across…
원문 언어: 영어
Use when fine-tuning, training, or doing LoRA/QLoRA on LLMs. Triggers on: 'fine-tune LLM', 'LoRA', 'QLoRA', 'llamafactory', 'llama factory', 'train model', 'SFT', 'RLHF', 'DPO', 'fine tuning', 'custom model', 'instruction tuning', 'finetuning'.
원문 언어: 다국어 혼합
Production logging — structlog, structured JSON logs, correlation IDs, log levels, OpenTelemetry traces, no print()
원문 언어: 영어
Add persistent, intelligent memory to AI agents with Mem0 — add/search/update/delete memories per user/agent/session, supports vector + graph + key-value storage, integrates with LangChain, CrewAI, OpenAI Assistants, and any LLM.
원문 언어: 영어
Deploy AI workloads to serverless GPU/CPU with Modal — define @app.function with GPU/memory specs, build custom container images, run batch jobs and web endpoints, schedule cron tasks, and use distributed volumes for model caching.
원문 언어: 영어
Use when setting up workflow automation, connecting APIs, building AI pipelines, or automating repetitive tasks with 400+ integrations. Triggers on: 'n8n', 'workflow automation', 'tự động hóa', 'kết nối API', 'no-code automation', 'zapier alternative',…
원문 언어: 다국어 혼합
Outlines — structured generation with guaranteed JSON/regex output from local LLMs
원문 언어: 영어
Profile and optimize Python/Node.js — cProfile, py-spy, clinic.js, memory profiling, async bottlenecks, DB query analysis
원문 언어: 영어
Use when asked to create or generate a video automatically from a topic, text, or idea. Triggers on: 'tạo video', 'generate video', 'make a video about', 'video từ chủ đề', 'short video', 'create reel', 'pixelle', 'video tự động', 'video AI'. Requires…
원문 언어: 베트남어
Portkey AI gateway — unified LLM API, load balancing, fallbacks, caching, guardrails, observability
원문 언어: 영어
Build type-safe AI agents with PydanticAI — define Agent with result_type, system_prompt, tools (function tools + structured tools), deps injection, and run sync/async with full Pydantic validation on inputs and outputs.
원문 언어: 영어