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Found 640 Skills
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/.
Symbolicate .NET runtime frames in Apple platform .ips crash logs (iOS, tvOS, Mac Catalyst, macOS). Extracts UUIDs and addresses from the native backtrace, locates dSYM debug symbols, and runs atos to produce function names with source file and line numbers. Automatically downloads .dwarf symbols from the Microsoft symbol server using Mach-O UUIDs. USE FOR triaging a .NET MAUI or Mono app crash from an .ips file on any Apple platform, resolving native backtrace frames in libcoreclr or libmonosgen-2.0 to .NET runtime source code, retrieving .ips crash logs from a connected iOS device or iPhone, or investigating EXC_CRASH, EXC_BAD_ACCESS, SIGABRT, or SIGSEGV originating from the .NET runtime. DO NOT USE FOR pure Swift/Objective-C crashes with no .NET components, or Android tombstone files. INVOKES Symbolicate-Crash.ps1 script, atos, dwarfdump, idevicecrashreport.
Performs runtime mobile security exploration of iOS applications using Objection, a Frida-powered toolkit that enables security testers to interact with app internals without jailbreaking. Use when assessing iOS app security posture, bypassing client-side protections, dumping keychain items, inspecting filesystem storage, and evaluating runtime behavior. Activates for requests involving iOS security testing, Objection runtime analysis, Frida-based iOS assessment, or mobile runtime exploration.
Adds tracing, telemetry, and observability to an assistant-ui backend. Use when wiring an AI SDK route handler (streamText/generateText, toUIMessageStreamResponse) to a tracing backend: Langfuse via OpenTelemetry (LangfuseSpanProcessor and NodeSDK in instrumentation.ts, experimental_telemetry isEnabled, propagateAttributes with traceName/userId/sessionId, langfuseSpanProcessor.forceFlush on serverless), LangSmith via wrapAISDK(ai) from langsmith/experimental/vercel (createLangSmithProviderOptions, awaitPendingTraceBatches), or Helicone via createOpenAI baseURL https://oai.helicone.ai/v1 with the Helicone-Auth header. Also covers rendering collected spans with @assistant-ui/react-o11y headless primitives (SpanResource, SpanPrimitive Root/Indent/CollapseToggle/StatusIndicator/TypeBadge/Name/Children, SpanByIndexProvider, SpanData/SpanState) mounted via useAui/AuiProvider from @assistant-ui/store. Use for missing or empty traces, edge vs nodejs runtime telemetry, serverless flush issues, or trace waterfalls.
Pick Jetson-compatible containers, vLLM runtime images, and Jetson AI Lab PyPI indexes; maps Orin SM 8.7 vs Thor SM 11.0 and JetPack-specific package choices.
Operate InstaCloud infrastructure with the `insta` CLI: create projects, add postgres/storage/compute services, deploy apps, create disposable branch environments (isolated DB + storage + compute per branch), wire `insta secrets` into `.env`, run multiple agents each in their own branch, handle governance approvals, check metrics/logs/usage, and promote branches to main. Use this skill when working in an InstaCloud-managed project (a `.insta/` dir or the `insta` CLI), when the user mentions InstaCloud or insta, AND when they ask to deploy an app, need a database/backend/object storage, want preview or per-agent sandbox environments, want branchable infrastructure, or mention agent setup or MCP — even if they don't say "InstaCloud" explicitly. Also covers the insta-cloud remote MCP server (insta_* tools) and the self-hosted insta-oss runtime (same CLI, local daemon).
Use when upgrading an existing TypeScript codebase from Inngest SDK v3 to v4, or when fixing mixed v3/v4 API usage. Covers detecting current SDK usage, moving triggers into createFunction options, replacing EventSchemas with eventType/staticSchema, moving serve options to the client, updating realtime imports, rewriting step.invoke string IDs, checkpointing/serverless runtime settings, Connect option changes, and verification.
Document and type a Sentry API endpoint. Write or fix @extend_schema decorators, specify response TypedDicts, type request parameters, correct type drift between the declared schema and the runtime response, and validate the generated spec. Use when asked to "document an endpoint", "add OpenAPI docs", "add/fix @extend_schema", "type an endpoint response", "fix the response type", "fix type drift", "reuse a response type", "split an overloaded endpoint", "specify the response schema", "add a TypedDict response", "migrate a legacy api-docs path", "fix a parameter type", or "make an endpoint public" / "promote an endpoint" (promotion is one section here).
Monitorar manifests e arquivos estruturais para criar ou atualizar .specsfy/STACK.md de forma aditiva. Use quando o monitor de contexto apontar stack pendente; quando framework, linguagem, runtime, pacote estrutural, ferramenta de teste ou persistência mudar; quando a documentação técnica estiver incompleta; ou após adicionar Laravel, Next.js, Astro ou dependências relevantes. Preserva conteúdo humano existente.
Use when building an internal admin-facing AI agent in a Medusa project. These agents are operated by merchants and store operators — not customers. Covers data models, module service, agent runtime (tools, system prompt, streamText), streaming API routes (NDJSON), and admin UI chat extensions. Load for any internal agent type: store operations assistant, product audit, cohort analysis, customer service tooling for support staff, etc. Do NOT use for customer-facing agents (storefront chatbots, buyer-side assistants).
Installing, configuring, and running @sasjs/server — the open-source NodeJS wrapper around the SAS binary that provides a REST API, filesystem (SASjs Drive), Stored Program execution, and web app streaming. Covers desktop vs server modes, runtime configuration (SAS/JS/Python/R), environment variables, auth (tokens, LDAP), and mock server types. Use when deploying, troubleshooting, or developing against sasjs/server.
Service metrics, RED metrics (Rate, Errors, Duration), and runtime-specific telemetry for .NET, Java, Node.js, Python, PHP, and Go applications.