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Found 1,230 Skills
This skill should be used when the user asks to 'start a grid bot', 'create a grid bot', 'stop the grid bot', 'show my grid bots', 'grid bot status', 'grid bot P&L', 'create a DCA bot', 'start a DCA bot', 'dollar cost average into BTC', 'set up a martingale bot', 'show my DCA bots', 'stop the DCA bot', 'DCA P&L', or any request involving creating, stopping, querying, or monitoring grid or DCA (Dollar Cost Averaging / Martingale) bots on OKX CEX. Grid and DCA each cover both spot and contract variants. Requires API credentials. Do NOT use for regular spot/swap/futures orders (use okx-cex-trade), market data (use okx-cex-market), or account balance/portfolio (use okx-cex-portfolio).
Trains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs cloud GPUs. Covers COCO-format dataset preparation, Albumentations augmentation, mAP/mAR evaluation, accuracy metrics, SAM segmentation with bbox/point prompts, DiceCE loss, hardware selection, cost estimation, Trackio monitoring, and Hub persistence. Use when users mention training object detection, image classification, SAM, SAM2, segmentation, image matting, DETR, D-FINE, RT-DETR, ViT, timm, MobileNet, ResNet, bounding box models, or fine-tuning vision models on Hugging Face Jobs.
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.
Use when the user asks about grid trading, ETH/USDC bot, automated trading on Base, grid bot status, trade history, PnL report, or mentions running/stopping/monitoring the grid bot. Covers: grid tick execution, start/stop daemon, status/report/history, market analysis, deposit tracking, retry failed trades. Do NOT use for manual token swaps or DeFi lending — use strategy-auto-rebalance for yield optimization.
Expert in onboarding, adoption, and retention strategies. Specializes in turning users into advocates through structured success plans and proactive health monitoring. Use when designing onboarding flows, creating success plans, or improving customer retention.
Use this skill when implementing data validation, data quality monitoring, data lineage tracking, data contracts, or Great Expectations test suites. Triggers on schema validation, data profiling, freshness checks, row-count anomalies, column drift, expectation suites, contract testing between producers and consumers, lineage graphs, data observability, and any task requiring data integrity enforcement across pipelines.
Use this skill when optimizing email deliverability, sender reputation, or authentication. Triggers on SPF record setup, DKIM signing configuration, DMARC policy deployment, IP warm-up planning, bounce handling strategy, sender reputation monitoring, inbox placement troubleshooting, email infrastructure hardening, DNS TXT record configuration for email, and diagnosing why emails land in spam. Acts as a senior email infrastructure advisor for engineers and marketers managing transactional or marketing email.
Fetches web pages and converts them to clean markdown using a robust 3-tier chain (Firecrawl → Jina Reader → Scrapling stealth browser). Use this skill instead of WebFetch whenever the user provides a URL and needs the page's text content — especially for sites that block direct access: medium.com articles (paywalled/metered), WeChat public accounts (mp.weixin.qq.com, geo-restricted), documentation sites with bot protection, or any page where simple HTTP fetching might return a CAPTCHA or empty page. Triggers for: "read this URL", "summarize this article/page", "grab the content from", "extract text from", "what does this page say", "fetch this link", or any request to access and process a specific web page. Do NOT trigger for: building scrapers, checking HTTP status codes, parsing already-downloaded HTML files, answering conceptual questions about scraping tools, or monitoring page changes.
Use when user asks about blockchain data or building Web3 applications — token balances, NFT ownership, transaction history, ENS resolution, on-chain statistics, JSON-RPC calls, webhooks, real-time monitoring, or any Nodit API integration across EVM, Solana, Sui, Aptos, and other chains
Golang everyday observability — the always-on signals in production. Covers structured logging with slog, Prometheus metrics, OpenTelemetry distributed tracing, continuous profiling with pprof/Pyroscope, server-side RUM event tracking, alerting, and Grafana dashboards. Apply when instrumenting Go services for production monitoring, setting up metrics or alerting, adding OpenTelemetry tracing, correlating logs with traces, migrating legacy loggers (zap/logrus/zerolog) to slog, adding observability to new features, or implementing GDPR/CCPA-compliant tracking with Customer Data Platforms (CDP). Not for temporary deep-dive performance investigation (→ See golang-benchmark and golang-performance skills).
Interactive MCP visual output via @json-render/mcp. Upgrade plain JSON tool responses to interactive dashboards rendered in sandboxed iframes inside Claude, Cursor, and ChatGPT conversations. Covers createMcpApp(), registerJsonRenderTool(), CSP config, streaming, and dashboard component patterns. Use when building MCP servers that return visual output, upgrading existing MCP tools with interactive UI, or creating eval/monitoring dashboards.
Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 7 modes: full research, quick brief, paper review, lit-review, fact-check, Socratic guided research dialogue, and systematic review with optional meta-analysis. Covers research question formulation, Socratic mentoring, methodology design, systematic literature search, source verification, cross-source synthesis, risk of bias assessment, meta-analysis, APA 7.0 report compilation, editorial review, devil's advocate challenges, ethics review, and post-research literature monitoring. Triggers on: research, deep research, literature review, systematic review, meta-analysis, PRISMA, evidence synthesis, fact-check, guide my research, help me think through, 研究, 深度研究, 文獻回顧, 文獻探討, 系統性回顧, 後設分析, 事實查核, 引導我的研究, 幫我釐清, 幫我想想, 我不確定要研究什麼, 研究方向, 研究主題.