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Found 1,211 Skills
End-to-end SGLang SOTA performance workflow. Use when a user names an LLM model and wants SGLang to match or beat the best observed vLLM and TensorRT-LLM serving performance by searching each framework's best deployment command, benchmarking them fairly, profiling SGLang if it is slower, identifying kernel/overlap/fusion bottlenecks, patching SGLang code, and revalidating with real model runs.
Develop custom React + Vite webapps in Steedos packages (webapps/ directory). Build custom amis Renderer components via IIFE compilation, with JSX runtime shimming (amisRequire), CSS scope isolation (postcss-prefix-selector), ScopedContext registration, Express router for SPA access, Tailwind v4 workarounds, and multi-webapp management. Covers vite.amis.config.ts, amis-entry.ts, amis-jsx-shim.ts, client loader files (main/default/client/*.client.js with waitForThing/loadJs/loadCss), build scripts, and deployment to public/.
Convex reactive backend expert: schema design, TypeScript functions, real-time subscriptions, auth, file storage, scheduling, and deployment.
Use when building NEW Datex Studio reports from scratch. This is the entry point for all new report work — it orchestrates requirements gathering, schema exploration, datasource creation, layout prototyping, and deployment as a single workflow. Trigger for: "create a report", "build a report", "report from work item", "report from requirements". For modifying EXISTING reports, use `report-editor`.
Expert knowledge for Azure DevOps development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing Boards/work items, pipelines, repos, Analytics/OData/Power BI, or Azure DevOps Server deployments, and other Azure DevOps related development tasks. Not for Azure Boards (use azure-boards), Azure Pipelines (use azure-pipelines), Azure Repos (use azure-repos), Azure Test Plans (use azure-test-plans).
Terraform infrastructure-as-code agent skill and plugin for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. Covers module design patterns, state management strategies, provider configuration, security hardening, policy-as-code with Sentinel/OPA, and CI/CD plan/apply workflows. Use when: user wants to design Terraform modules, manage state backends, review Terraform security, implement multi-region deployments, or follow IaC best practices.
Set up and use Gonzo, the open-source terminal log analysis tool. Use when the user wants to tail, watch, stream, or analyze logs. Detects deployment platforms, generates pipe commands, and configures AI analysis.
Create an application-specific production parity skill by inspecting an app's docs, source, tests, CI, deployment, infrastructure, config, auth, and environment setup, then asking targeted harness questions only for source-unanswerable decisions. Use when local, CI, PR, preview, staging, or other non-production environments may drift from production behavior; when production-only auth, config, identity-provider groups, feature flags, infrastructure, backing services, or policy differences caused bugs; or when a team wants a reusable skill that detects, documents, tests, and helps fix parity drift for one specific application.
Integrates Clerk authentication into React Native Expo apps using @clerk/clerk-expo. Covers ClerkProvider setup, secure token caching (expo-secure-store), Expo Router/React Navigation auth guards, custom sign-in/sign-up flows (email/password + email codes), SSO/OAuth (useSSO), Sign in with Apple (useSignInWithApple), biometrics (useLocalCredentials), offline support, and production deployment allowlisting. Use when the user mentions Clerk + Expo, @clerk/clerk-expo, Expo Router auth, SSO/OAuth redirects, or deploying Clerk in a mobile app.
[BETA] Expert assistance for the Adobe I/O CLI plugin `@adobe/aio-cli-plugin-aem-rde` — the `aio aem rde` / `aio aem:rde` command tree used to deploy, inspect, log-tail, snapshot, and troubleshoot AEM Rapid Development Environments (RDEs). Activate ONLY when the user explicitly references RDE concepts: 'AEM RDE', 'Rapid Development Environment', `aio aem rde`, `aio aem:rde`, `aem-rde`, RDE snapshots, RDE deploy/install, `rde install`, `rde inspect`, `rde status`, `rde history`, `rde reset`, the `@adobe/aio-cli-plugin-aem-rde` package, or Cloud Manager program/environment configuration that is specifically for an RDE environment. Do NOT activate on generic AEMaaCS phrases like 'deploy to AEM Cloud', 'push my bundle', 'tail the publish log', 'cloud sandbox', or unqualified 'dispatcher-config / frontend / env-config deployments' — those belong to Cloud Manager pipelines, not RDE. This skill is in beta. Verify all outputs before applying them to production projects.
FastMCP Python framework for MCP servers with tools, resources, storage backends (memory/disk/Redis/DynamoDB). Use for Claude tool exposure, OAuth Proxy, cloud deployment, or encountering storage, lifespan, middleware, circular import, async errors.
Guides engineering of multi-agent systems—agent roles and specialization, orchestration topologies (supervisor, peer-to-peer, hierarchical, blackboard), task decomposition and routing, inter-agent messaging (A2A-style patterns), shared vs partitioned state, fan-out/fan-in and DAG workflows, synchronization and consensus, conflict resolution, fault tolerance and retries across agents, cost/latency/token budgets, cross-agent observability, testing multi-agent flows, and deployment (queues, durable workflows). Framework-agnostic; high-level LangGraph, Deep Agents, and agenthub—not single-agent loops (agentic-ai-developer), ML training (ai-engineer), strategy-only whiteboard (enterprise-strategist), or PM planning (technical-program-manager). Use for multi-agent system, multi-agent engineer, agent orchestration, supervisor agent, agent topology, fan-out fan-in, agent handoff protocol, multi-agent workflow, agent coordination, blackboard pattern, hierarchical agents, A2A, agent DAG, multi-agent architecture.