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Found 1,390 Skills
PostgreSQL best practices, query optimization, connection troubleshooting, and performance insights for PlanetScale Postgres. Load when working with PlanetScale PostgreSQL databases.
Development workflow, debugging, and troubleshooting for Electrobun desktop applications. This skill covers debugging the main process (Bun) and webview processes, Chrome DevTools integration, console logging strategies, error handling, performance profiling, memory leak detection, build error troubleshooting, common runtime errors, development environment setup, hot reload configuration, source maps, breakpoint debugging, network inspection, WebView debugging on different platforms, native module debugging, and systematic debugging approaches. Use when encountering build failures, runtime errors, crashes, performance issues, debugging RPC communication, inspecting webview DOM, profiling CPU/memory usage, troubleshooting platform-specific issues, or setting up development workflow. Triggers include "debug", "error", "crash", "troubleshoot", "DevTools", "inspect", "breakpoint", "profiling", "performance issue", "build error", "not working", or "logging".
Use this skill first whenever the user asks about SigNoz instrumentation, OpenTelemetry setup, querying, dashboards, alerts, troubleshooting, self-hosted deployment, API endpoints, auth headers, or where to find anything in SigNoz docs.
All-in-one Module Federation skill. Use when the user asks anything about MF — concepts, configuration, runtime API, shared dependencies, type errors, runtime error code troubleshooting, slow builds, Bridge integration, or adding MF to an existing project.
Coconote platform help — Quizlet's AI note-taker that records lectures and auto-generates study guides, flashcards, quizzes, and AI-narrated podcasts from recordings. Use when setting up Coconote for recording lectures and generating study materials, troubleshooting recordings that crash or fail to save on long lectures, figuring out why Coconote requires payment info before accessing the free plan, choosing between Coconote free and Pro subscription tiers, comparing Coconote to Voicenotes or AudioPen or Cleft Notes for voice capture, evaluating Coconote for student lecture note-taking across iOS and Android, or understanding why Coconote only generates one quiz and one flashcard set per note. Do NOT use for comparing AI meeting note-takers for sales teams (use /sales-note-taker) or reviewing a sales call for coaching (use /sales-call-review).
ESPHome + Home Assistant workflows for provisioning, adoption, entity naming, encryption keys (noise_psk / api encryption), OTA updates, and troubleshooting offline devices. Use when working with ESPHome Device Builder, the HA ESPHome integration, or when generating ESPHome YAML and validating entities in HA.
MCP server for read-only Linux system diagnostics and troubleshooting on RHEL-based systems via SSH
Build backend AI with Vercel AI SDK v6 stable. Covers Output API (replaces generateObject/streamObject), speech synthesis, transcription, embeddings, MCP tools with security guidance. Includes v4→v5 migration and 15 error solutions with workarounds. Use when: implementing AI SDK v5/v6, migrating versions, troubleshooting AI_APICallError, Workers startup issues, Output API errors, Gemini caching issues, Anthropic tool errors, MCP tools, or stream resumption failures.
Use when investigating errors, analyzing stack traces, or finding root causes of unexpected behavior. Invoke for error investigation, troubleshooting, log analysis, root cause analysis.
Unified CLI workflow for generating images and videos with Gemini, OpenAI, and Grok(xAI) via `ugen`. Use for tasks that require model discovery (`ugen models`), ordered multi-input composition (`--part text:...` and `--part image:...`), provider-specific option tuning (`--option`, `--options-json`), secure token handling (env or password prompt), and troubleshooting generation failures/timeouts.
AWS DynamoDB NoSQL database for scalable data storage. Use when designing table schemas, writing queries, configuring indexes, managing capacity, implementing single-table design, or troubleshooting performance issues.
Expert knowledge for Azure Databricks development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Unity Catalog, Lakeflow, Lakebase, Delta Sharing, Databricks SQL, or Model Serving workloads, and other Azure Databricks related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure HDInsight (use azure-hdinsight), Azure Machine Learning (use azure-machine-learning), Azure Data Factory (use azure-data-factory).