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Skills في هذا المستودع
جمع SkillsMP عدد ١٬٥٦٦ من skills من yanacuti1121/Yana-AI. افتح أي skill لمراجعة مصدره وتفاصيله.
yanacuti1121/Yana-AIعرض ٤٠ من أصل ١٬٥٦٦ skills مجمعة.
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…
لغة النص الأصلي: الإنجليزية
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…
لغة النص الأصلي: الإنجليزية
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",…
لغة النص الأصلي: الإنجليزية
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…
لغة النص الأصلي: الإنجليزية
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…
لغة النص الأصلي: الإنجليزية
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…
لغة النص الأصلي: الإنجليزية
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…
لغة النص الأصلي: الإنجليزية
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.
لغة النص الأصلي: الإنجليزية
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…
لغة النص الأصلي: الإنجليزية
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.…
لغة النص الأصلي: الإنجليزية
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",…
لغة النص الأصلي: الإنجليزية
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",…
لغة النص الأصلي: الإنجليزية
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…
لغة النص الأصلي: الإنجليزية
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",…
لغة النص الأصلي: الإنجليزية
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…
لغة النص الأصلي: الإنجليزية
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.
لغة النص الأصلي: الإنجليزية
REST API design — versioning, pagination, error responses, idempotency, rate limiting, OpenAPI spec
لغة النص الأصلي: الإنجليزية
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.
لغة النص الأصلي: الإنجليزية
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…
لغة النص الأصلي: الإنجليزية
Systematic code review checklist — correctness, security, performance, maintainability, AI-specific anti-patterns
لغة النص الأصلي: الإنجليزية
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.
لغة النص الأصلي: الإنجليزية
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.
لغة النص الأصلي: الإنجليزية
DeepEval — LLM evaluation framework, RAG metrics, hallucination detection, red-teaming, CI/CD integration
لغة النص الأصلي: الإنجليزية
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.
لغة النص الأصلي: الإنجليزية
Production error handling — typed errors, Result type, error boundaries, structured logging, retry strategies
لغة النص الأصلي: الإنجليزية
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.
لغة النص الأصلي: الإنجليزية
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…
لغة النص الأصلي: لغات متعددة
LLM observability with Langfuse — tracing, evals, prompt management, cost tracking
لغة النص الأصلي: الإنجليزية
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…
لغة النص الأصلي: الإنجليزية
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…
لغة النص الأصلي: الإنجليزية
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'.
لغة النص الأصلي: لغات متعددة
Production logging — structlog, structured JSON logs, correlation IDs, log levels, OpenTelemetry traces, no print()
لغة النص الأصلي: الإنجليزية
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.
لغة النص الأصلي: الإنجليزية
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.
لغة النص الأصلي: الإنجليزية
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',…
لغة النص الأصلي: لغات متعددة
Outlines — structured generation with guaranteed JSON/regex output from local LLMs
لغة النص الأصلي: الإنجليزية
Profile and optimize Python/Node.js — cProfile, py-spy, clinic.js, memory profiling, async bottlenecks, DB query analysis
لغة النص الأصلي: الإنجليزية
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…
لغة النص الأصلي: الفيتنامية
Portkey AI gateway — unified LLM API, load balancing, fallbacks, caching, guardrails, observability
لغة النص الأصلي: الإنجليزية
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.
لغة النص الأصلي: الإنجليزية