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Found 709 Skills
Implement PostHog analytics, feature flags, and session replay for Next.js apps. Use this skill for event tracking, user identification, A/B testing, experiments, and session recording setup. Also handles analytics reporting (funnel analysis, retention, SEO) with Google Search Console integration.
Integrate crypto payments into any web application with PayRam. Self-hosted payment gateway — no KYC, no signup, no third-party custody. Accept USDT, USDC, Bitcoin, ETH in under 10 minutes. Works with Express, Next.js, FastAPI, Laravel, Gin, Spring Boot. Drop-in replacement for Stripe/PayPal for crypto. Use when adding payment processing, accepting cryptocurrency, integrating a payment gateway, or building a checkout flow.
Guide for posting to ATProtocol/Bluesky. Use when creating posts, threads, or blog entries. Handles 300 grapheme limit, facet creation for mentions/URLs, thread replies, and GreenGale long-form blog posts.
Transform source material into authentic, human-written content. Use for ANY writing task - newsletters, articles, social posts, emails. Combines voice transformation, AI pattern detection, and Charlie Deist's signature moves. Replaces the old ai-tells and human-writing skills.
Triggered when users need to learn a certain style, extract writing formulas, build a style library, or imitate a specific author. Deconstruct text in 15 dimensions in depth, including author profile, core thinking, creative path, interactive design, etc., and model it into an accurately replicable style file. Trigger words: style modeling, style extraction, style learning, imitative writing, article deconstruction, writing formula, style library.
Set up Biome for fast linting and formatting in JavaScript/TypeScript projects, including editor integration, package scripts, optional pre-commit hooks, and migration from ESLint + Prettier. Use when adding or standardizing lint/format tooling, replacing ESLint/Prettier, or troubleshooting Biome configuration and workflow issues.
Searches code by AST patterns and performs structural refactoring across files. Use when finding function calls, replacing code patterns, or refactoring syntax that regex cannot reliably match.
React Native Reanimated 4.x animation patterns. Use when adding animations, transitions, entering/exiting effects, or gesture-driven animations to React Native screens. Replaces Framer Motion for mobile.
Interact with Moltbook social network for AI agents. Post, reply, browse, and analyze engagement. Use when the user wants to engage with Moltbook, check their feed, reply to posts, or track their activity on the agent social network.
Scrape social media profiles, posts, comments, followers, and search across 6 platforms via x402. USE FOR: - Getting TikTok, Instagram, X/Twitter, Facebook, Reddit, or LinkedIn profiles - Fetching a user's posts, stories, highlights, or videos - Getting comments, replies, and reactions on posts - Listing followers and following for any account - Searching posts, hashtags, profiles, jobs, and ads across platforms - Cross-platform social media research and monitoring TRIGGERS: - "tiktok", "instagram", "facebook", "linkedin profile", "linkedin posts" - "get followers", "who follows", "following list" - "scrape profile", "get posts from", "social media data" - "instagram stories", "tiktok videos", "facebook page" - "linkedin company", "linkedin jobs", "linkedin ads" - "cross-platform", "social media research" IMPORTANT: StableSocial uses an async two-step flow. Step 1: POST triggers data collection (paid, $0.06). Step 2: Poll GET /api/jobs?token=... until finished (free). All endpoints are $0.06 per call. Use `npx agentcash fetch` for paid POST triggers. Use `npx agentcash fetch` for free GET polling. IMPORTANT: Use exact endpoint paths from the Quick Reference tables below. All paths include a platform prefix (e.g. `https://stablesocial.dev/api/tiktok/...`).
Interact with Moltbook social network for AI agents. Post, reply, browse, and analyze engagement. Use when the user wants to engage with Moltbook, check their feed, reply to posts, or track their activity on the agent social network.
C++ Reinforcement Learning best practices using libtorch (PyTorch C++ frontend) and modern C++17/20. Use when: - Implementing RL algorithms in C++ for performance-critical applications - Building production RL systems with libtorch - Creating replay buffers and experience storage - Optimizing RL training with GPU acceleration - Deploying RL models with ONNX Runtime