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Found 1,444 Skills
Use this skill for reinforcement learning tasks including training RL agents (PPO, SAC, DQN, TD3, DDPG, A2C, etc.), creating custom Gym environments, implementing callbacks for monitoring and control, using vectorized environments for parallel training, and integrating with deep RL workflows. This skill should be used when users request RL algorithm implementation, agent training, environment design, or RL experimentation.
Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and OpenAI. Essential for debugging, monitoring, and improving LLM applications in production. Use when: langfuse, llm observability, llm tracing, prompt management, llm evaluation.
Time-series database implementation for metrics, IoT, financial data, and observability backends. Use when building dashboards, monitoring systems, IoT platforms, or financial applications. Covers TimescaleDB (PostgreSQL), InfluxDB, ClickHouse, QuestDB, continuous aggregates, downsampling (LTTB), and retention policies.
LLM observability platform for tracing, evaluation, prompt management, and cost tracking. Use when setting up Langfuse, monitoring LLM costs, tracking token usage, or implementing prompt versioning.
Competitive analysis for startups: identify and segment competitors (direct/indirect/substitutes/status quo), map markets, build sales battlecards, run win/loss + churn analyses, and refine positioning/differentiation. Use when asked to compare products vs competitors, define competitive alternatives, explain category structure, or set up competitive intelligence monitoring and update cadences.
Patterns for sharing code between macOS and iOS in SwiftUI apps. Covers project structure (70% shared / 15% macOS / 15% iOS), platform abstraction via protocols and #if os() conditional compilation, adaptive navigation (NavigationSplitView on Mac/iPad → NavigationStack on iPhone), shared components with platform styling, iOS-specific extensions (custom keyboard extension, interactive widgets, share extension, action extension, Control Center widget, lock screen widget), App Groups for data sharing with extensions, CloudKit sync monitoring, JSON export/import, schema versioning and migration, URL scheme deep linking, and the full macOS→iOS migration checklist. Use when building apps that target both macOS and iOS, when adding iOS support to a macOS app, when building widgets or keyboard extensions, or when setting up iCloud sync with SwiftData.
Complete command-line reference for managing the Temps deployment platform. Covers all 54+ CLI commands including projects, deployments, environments, services, domains, monitoring, backups, security scanning, error tracking, and platform administration. Use when the user wants to: (1) Find CLI command syntax, (2) Manage projects and deployments via CLI, (3) Configure services and infrastructure, (4) Set up monitoring and logging, (5) Automate deployments with CI/CD, (6) Manage domains and DNS, (7) Configure notifications and webhooks. Triggers: "temps cli", "temps command", "how to use temps", "@temps-sdk/cli", "bunx temps", "npx temps", "temps deploy", "temps projects", "temps services".
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/...`).
Use this skill when diagnosing, configuring, or monitoring NICs for AF_XDP / XDP workloads. Covers driver detection, hardware queue configuration, offload control (GSO/GRO/TSO/LRO), VLAN offloads, Flow Director (FDIR) rules, CPU core pinning and NUMA awareness, hardware queue and drop monitoring, BPF program inspection with bpftool, kernel tracing via ftrace, perf profiling and flamegraphs, IRQ-to-queue-to-core mapping, and a quick diagnostic checklist.
Delegate complex coding tasks to OpenCode agent. Use when building new features, reviewing code, or refactoring large codebases. Allows starting, resuming, and monitoring opencode sessions.
Produces Go/No-Go deployment checklists with SQL verification queries, rollback procedures, and monitoring plans. Use when PRs touch production data, migrations, or risky data changes.
Use this skill when you need to operate the Creem CLI for authentication checks, products, customers, checkouts, subscriptions, transactions, configuration, monitoring, or terminal automation workflows. Prefer it for agent-driven Creem tasks that should use real CLI commands and JSON output instead of dashboard clicks or guessed API calls.