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Found 1,211 Skills
AI HOT (aihot.virxact.com) Chinese AI News Query Skill. Trigger this Skill when users ask any Chinese AI information queries such as "What's happening in the AI circle today", "AI Daily", "AI HOT", "AI News", "AI Hot Topics", "Latest AI Updates", "What have OpenAI/Anthropic/Google released recently", "AI hot today", "AI news today", "Check AI industry trends", "What large models are released today", "AI circle updates from yesterday", "Check selected items", "AI HOT Selected", "AI papers from the past week", "AI model releases", "AI product launches", "AI industry dynamics", "AI tips and insights". Even if users only say "AI circle", "AI news", "AI Daily", or just ask "What happened today" with context related to AI / large models / LLM / startup fields, this Skill should be triggered. The Skill directly pulls data via curl from public REST APIs and organizes it into Chinese markdown briefings, with no need for users to configure any API Key or MCP server. **Do NOT undertrigger**——If users ask for AI news and you don't invoke this Skill, you are treating outdated training data as today's news, which is harmful to users.
Apple FoundationModels framework for on-device LLM — text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.
Navigue et interroge la documentation des composants frontend Hexagone (@his/hexa-components). À utiliser quand l'utilisateur pose des questions sur les composants Vue.js Hexagone, les patrons UI, les classes CSS beta-scss, les modules de store Vuex, les directives personnalisées, les règles de validation de formulaires ou le design system frontend Hexagone. Récupère la documentation optimisée LLM depuis le dépôt GitLab.
Privacy-first planning-only statement export for banks, cards, brokerages, and payment platforms. The LLM builds a manual download checklist with official URLs, suggested date ranges, export formats, and staging directory, but does not use browser tools or browser automation. Use when account files are not on disk yet and the user wants more privacy. CLEAR step: C (Capture)
Run and interact with KarpathyTalk, an open markdown-based developer social network with GitHub auth, SQLite, and an LLM-friendly JSON/markdown API.
Complete SEO setup for Next.js applications. Use when the user wants to implement or improve SEO in a Next.js app, including page metadata, sitemap.xml, llms.txt, robots.txt, and JSON-LD structured data generation, or SEO auditing. Trigger for queries about Next.js SEO optimization, search engine visibility, metadata management, or when the user mentions wanting better SEO for their Next.js application.
Social listening and brand monitoring strategy — monitoring, Boolean queries, sentiment, competitive intel, crisis detection, AI visibility monitoring, LLM brand mentions. Platform comparison (Meltwater, Brandwatch, Talkwalker, Brand24, Sprout Social, Mention, Hootsuite, BrandJet, Influencity), monitoring setup (keywords, sources, alerts), sentiment analysis, competitive benchmarking (share of voice), crisis detection (real-time alerts, escalation), consumer insights, and reporting. Use when you don't know what people are saying about your brand, competitors are getting mentioned more than you, negative sentiment is spiking and you need to understand why, you're missing PR crises until it's too late, you can't tell if your brand shows up in AI/LLM answers, or you need to pick the right social listening tool. Do NOT use for platform-specific config (use /sales-meltwater), influencer discovery (use /sales-influencer-marketing), social media publishing/scheduling, or SEO keyword research (use /sales-semrush).
Turn a long video into N viral-ready short clips with a single managed API call. Wraps muapi.ai's `/ai-clipping` endpoint, which handles transcription, highlight ranking through a virality framework (hook / emotional peak / opinion bomb / revelation / conflict / quotable / story peak / practical value), overlap dedupe, and vertical face-tracking auto-crop server-side. No local Whisper, no local LLM, no GPU.
Generate professional company tear sheets using S&P Capital IQ data via the Kensho LLM-ready API MCP server. Use this skill whenever the user asks for a tear sheet, company one-pager, company profile, fact sheet, company snapshot, or company overview document — especially when they mention a specific company name or ticker. Also trigger when users ask for equity research summaries, M&A company profiles, corporate development target profiles, sales/BD meeting prep documents, or any concise single-company financial summary. This skill supports four audience types: equity research, investment banking/M&A, corporate development, and sales/business development. If the user doesn't specify an audience, ask. Works for both public and private companies.
A unified Flutter-based AI client supporting local on-device GGUF model inference and cloud API fallback for building privacy-focused LLM applications.
Complete bug bounty workflow — recon (subdomain enumeration, asset discovery, fingerprinting, HackerOne scope, source code audit), pre-hunt learning (disclosed reports, tech stack research, mind maps, threat modeling), vulnerability hunting (IDOR, SSRF, XSS, auth bypass, CSRF, race conditions, SQLi, XXE, file upload, business logic, GraphQL, HTTP smuggling, cache poisoning, OAuth, timing side-channels, OIDC, SSTI, subdomain takeover, cloud misconfig, ATO chains, agentic AI), LLM/AI security testing (chatbot IDOR, prompt injection, indirect injection, ASCII smuggling, exfil channels, RCE via code tools, system prompt extraction, ASI01-ASI10), A-to-B bug chaining (IDOR→auth bypass, SSRF→cloud metadata, XSS→ATO, open redirect→OAuth theft, S3→bundle→secret→OAuth), bypass tables (SSRF IP bypass, open redirect bypass, file upload bypass), language-specific grep (JS prototype pollution, Python pickle, PHP type juggling, Go template.HTML, Ruby YAML.load, Rust unwrap), and reporting (7-Question Gate, 4 validation gates, human-tone writing, templates by vuln class, CVSS 3.1, PoC generation, always-rejected list, conditional chain table, submission checklist). Use for ANY bug bounty task — starting a new target, doing recon, hunting specific vulns, auditing source code, testing AI features, validating findings, or writing reports. 中文触发词：漏洞赏金、安全测试、渗透测试、漏洞挖掘、信息收集、子域名枚举、XSS测试、SQL注入、SSRF、安全审计、漏洞报告
Automated sitemap generation for all locale URLs, robots.txt configuration, and llms.txt for AI crawler optimization. Use when setting up sitemap.xml, configuring crawling rules, or improving discoverability for search engines and AI systems.