Loading...
Loading...
Found 2,684 Skills
Analyzes observability signals from customer GenAI applications with DQL. Reads OpenTelemetry GenAI spans and LLM evaluation bizevents. Use for: golden signals (traffic, errors, latency, saturation); LLM signals (model, provider, tokens); cost/token analytics, usage attribution, and prompt caching; agent signals (tool calls, steps, failures, loop detection, Smartscape topology); conversation/session analytics; guardrails (blocked/truncated responses); and evaluation signals (quality, pass/fail). Trigger: "LLM latency", "token usage by model", "cost by model and provider", "cost per conversation", "who is driving token spend", "do I have prompt caching", "failing agent tool calls", "find runaway agents", "responses truncated or blocked", "failed evaluations", "am I hitting rate limits", "token throughput / TPM", "provider throttling or 429s". Do NOT use for: Davis CoPilot/MCP telemetry (dt-platform), generic service metrics (dt-obs-services), logs (dt-obs-logs), or non-GenAI tracing (dt-obs-tracing).
Add Arcjet security protection to any code path — HTTP route handlers, API endpoints, AI agent tool calls, MCP servers, background jobs, and queue workers. Covers rate limiting, bot detection, email validation, prompt injection detection, sensitive information blocking, content moderation, and abuse prevention. Works with JavaScript/TypeScript, Python, and Go across Next.js, Express, Fastify, SvelteKit, Remix, Bun, Deno, NestJS, FastAPI, Flask, net/http, and non-HTTP contexts. Use this skill when the user wants to add security, rate limiting, bot protection, or abuse prevention to any part of their application — whether they say "protect my API," "rate limit tool calls," "block bots," "secure my endpoint," "add security to my MCP server," or "prevent abuse" without mentioning Arcjet specifically.
When you want to manage projects across your businesses using a kanban + Eisenhower methodology. One kanban per business (whatever portfolio of businesses, projects, or initiatives you run). Tool-agnostic — connects via API/MCP to whatever PM tool each business uses (Notion, GitHub Projects, Plane, Linear, Obsidian file-based, or manual mode). Async-first output. Six modes — setup (scaffold a new board for a business), triage (Eisenhower-sort the backlog), next (pick the next thing to work on, single board or across all), status (paste-ready async snapshot), unblock (diagnose Review/Blocked column), weekly (Friday pulse + week planning). Triggers on "/pm," "/pm setup," "/pm triage," "/pm next," "/pm status," "/pm unblock," "/pm weekly," "what should I work on next," "kanban status," "Eisenhower this," "triage my backlog," "what's blocked."
Intelligent loading performance analysis with automated workflows for TTFB investigation (DNS/connection/server breakdown), render-blocking detection, script performance deep dive (first vs third-party attribution), font optimization, and resource hints validation. Includes decision trees that automatically analyze TTFB sub-parts when slow, detect script loading anti-patterns (async/defer/preload conflicts), identify render-blocking resources, and validate resource hints usage. Features workflows for complete loading audit (6 phases), backend performance investigation, and priority optimization. Cross-skill integration with Core Web Vitals (LCP resource loading), Interaction (script execution blocking), and Media (lazy loading strategy). Use when the user asks about TTFB, FCP, render-blocking, slow loading, font performance, script optimization, or resource hints. Compatible with Chrome DevTools MCP.
Reference for AdKit (CLI or MCP). Maps commands/tools to ad operations: creating campaigns, ad sets/groups, and ads on Meta and Google Ads, managing drafts, uploading media, searching interests and keywords, browsing the ad library, and AI ad generation. Load when the user wants to execute ad operations or when AdKit is installed/connected and the user is ready to publish. Not for strategy, copywriting, creative advice, or learning about ads.
Dependency health report for .NET solutions: outdated NuGet packages, vulnerable versions, and commercial-license traps (MediatR, MassTransit, FluentAssertions, AutoMapper) — powered by the get_nuget_packages MCP tool. Invoke when: "outdated packages", "check dependencies", "stale packages", "package audit", "dependency health", "are my packages up to date", "license check", "vulnerable packages", "nuget audit".
Sweep current cross-platform hotspots and surface emerging keywords from the latest crawl batch. Use when the user asks 今日热点 / 今天有什么热点 / 今天热搜 / 各平台热搜 / 看一下当前热搜 / 现在在火什么 / 全网热点 / 全网在聊什么 / what's trending / what's trending now / multi-platform trend sweep / hotspot snapshot, or wants a quick snapshot of zhihu / weibo / douyin / bilibili / toutiao / baidu / thepaper / ifeng / tieba / cls-hot / wallstreetcn-hot at once via the trendradar MCP. Combines latest news with both preset-keyword extraction and emergent auto-extraction so the agent can flag 全网共振 (cross-platform resonance) and 新冒头 (newly emerging) terms in a single pass.
Comprehensive dimension analysis and reporting for CJA. Use this skill whenever the user wants to analyze one or more dimensions — including cardinality, distribution/skew, trends, anomalies, data quality errors, comparisons, and forecasting. Also trigger when someone asks "what are the top values for...", "dimension health", "explore this dimension", "dimension dashboard", "dimension statistics", "data quality check on a dimension", "dimension cardinality", "dimension trends", "dimension skew", "dimension anomalies", "compare dimensions", or any similar request to understand what's inside a CJA dimension. Produces an interactive HTML dashboard or a markdown report. Works with the CJA MCP server.
Use when the user invokes $nerd-memory (Codex) or /nerd-memory (Claude/Cursor), or when Nerd Smart auto-enables it to learn, recall, inspect, deny, refine, correct, split, or forget recurring goal, task, action, result, boundary, verification, or agent-skill-tool-MCP routing patterns across tasks.
Contract-first API design for REST, GraphQL, gRPC. Design, spec, review, version, compat, sdk. Use for API architecture and OpenAPI specs. NOT for MCP servers (mcp-creator) or frontend API calls.
Initialize projects with safe, preference-driven scaffolds, docs, AI instructions, quality gates, GitHub setup, and design baselines. Use when starting a repo or non-destructively adding conventions. NOT for product features, agents, MCP servers, cloud provisioning, or destructive migrations.
Maintain docs across Starlight, Docusaurus, MkDocs. Sync, health checks, migrations, ADRs, runbooks, README, and AGENTS.md. Use when docs change. NOT for backend code, skill definition edits (skill-creator), or MCP servers (mcp-creator).