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Found 1,311 Skills
Pre-ship audit checklist for Ethereum dApps built with Scaffold-ETH 2. Give this to a separate reviewer agent (or fresh context) AFTER the build is complete. Covers only the bugs AI agents actually ship — validated by baseline testing against stock LLMs.
Smart contract testing with Foundry — unit tests, fuzz testing, fork testing, invariant testing. What to test, what not to test, and what LLMs get wrong.
Senior Agile Facilitator & Delivery Architect for 2026. Specialized in AI-enhanced Scrum orchestration, automated ticket management, and high-velocity sprint coordination. Expert in utilizing LLMs to synthesize daily updates, detect blockers before they arise, and maintain a high-integrity backlog across GitHub Issues, Jira, and linear.
Use when integrating Foundation Models framework, implementing on-device AI with Apple Intelligence, building tool-calling AI features, working with guided generation schemas, converting models with Core ML and coremltools, or running open-source LLMs on Apple Silicon. Covers Foundation Models (LanguageModelSession, @Generable, @Guide, SystemLanguageModel, structured output, tool calling), Core ML (coremltools, model conversion, quantization, palettization, pruning, Neural Engine, MLTensor), MLX Swift (transformer inference, unified memory), and llama.cpp (GGUF, cross-platform LLM).
ML supply chain security scanner. Scans model files, scores risk (0-100), maps to 5 global compliance frameworks (ISM-2072, EU AI Act, OWASP LLM, MITRE ATLAS, NIST AI RMF), and provides remediation steps. Zero-config, auto-installs scanners. Use when the user asks to scan a model, check if a model is safe, audit ML security posture, check compliance, inspect pickle/safetensors/pytorch files, or mentions model supply chain security. Also trigger on ISM-2072, EU AI Act, OWASP LLM06, model risk score, "is this model safe", "scan my models", "check compliance".
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.
Corrects outdated LLM knowledge about the Vercel platform and introduces new products. Injected at session start.
Comprehensive SEO, discoverability, and AI crawler optimization for web projects. Use for technical SEO audits, llms.txt/robots.txt setup, schema markup, social launch strategies (Product Hunt, HN, Reddit), and Answer Engine Optimization (AEO). Activate on 'SEO', 'discoverability', 'llms.txt', 'robots.txt', 'Product Hunt', 'launch strategy', 'get traffic', 'be found', 'search ranking'. NOT for paid advertising, PPC campaigns, or social media content creation (use marketing skills).
Investigates distributed application performance using PostHog APM (OpenTelemetry span) data via MCP. Use when the user asks about service traces, slow HTTP/database spans, error spans, trace IDs, or span attributes — not LLM analytics traces or product logs. Uses posthog:query-apm-spans, posthog:apm-trace-get, posthog:apm-services-list, posthog:apm-attributes-list, and posthog:apm-attribute-values-list.
Select and configure evaluation metrics for an AI agent. Guides through metric selection using use-case recommendations, custom LLM-based metric creation with prompt engineering, and agent default attachment. Use when user says "set up metrics", "configure metrics", "create a metric", "what metrics should I use", "add evaluation criteria", or "customize scoring".
Read GitHub repos the RIGHT way - via gitmcp.io instead of raw scraping. Why this beats web search: (1) Semantic search across docs, not just keyword matching, (2) Smart code navigation with accurate file structure - zero hallucinations on repo layout, (3) Proper markdown output optimized for LLMs, not raw HTML/JSON garbage, (4) Aggregates README + /docs + code in one clean interface, (5) Respects rate limits and robots.txt. Stop pasting raw GitHub URLs - use this instead.
Configure a Mac mini as a reliable local LLM server with remote access, observability, and power-safe operation.