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Found 1,038 Skills
A comprehensive starting point for AI agents to work with Capacitor. Covers core concepts, CLI, app creation, plugins, framework integration, best practices, storage, security, testing, troubleshooting, upgrading, and Capawesome Cloud (live updates, native builds, app store publishing). Pair with the other Capacitor skills in this collection for deeper topic-specific guidance.
Guidance for installing and using Fli correctly as a CLI and MCP server. Use when: setting up Fli with pipx, running `fli` flight searches, configuring Claude Desktop with `fli-mcp`, using the HTTP MCP server, or troubleshooting Fli command availability and common usage mistakes.
Set up and configure Google's release-please for automated versioning, changelog generation, and publishing via GitHub Actions. Covers pipeline creation, Conventional Commits formatting, pre-release workflows, monorepo configuration, and troubleshooting release pipelines. Use this skill whenever the user wants to automate releases, set up CI/CD for publishing, configure version bumping, write release-please-compatible commit messages, tag versions automatically, publish to npm/PyPI/crates.io/Maven/Docker, or troubleshoot why a release PR wasn't created. Activate even if the user doesn't mention "release-please" by name — phrases like "automate my npm releases", "set up GitHub Actions for publishing", "how do I tag versions automatically", "changelog generation", "semver automation", or "pre-release workflow" all indicate this skill. For commit message guidance specifically, this skill focuses on release-please-compatible conventions; for broader multi-repo git operations with submodules, defer to multi-repo-git-ops instead.
Expert knowledge for Microsoft Foundry (aka Azure AI Foundry) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Foundry agents with Azure OpenAI, vector search/RAG, Sora video, realtime audio, or MCP/LangChain APIs, and other Microsoft Foundry related development tasks. Not for Microsoft Foundry Classic (use microsoft-foundry-classic), Microsoft Foundry Local (use microsoft-foundry-local), Microsoft Foundry Tools (use microsoft-foundry-tools).
Embedded network debugging tool used for interface discovery, packet capture, pcap/pcapng analysis, connectivity testing, port scanning, and traffic statistics. It is automatically triggered when users mention network protocol debugging terms such as Wireshark, tshark, Npcap, packet capture, network joint debugging, port scanning, connectivity troubleshooting, pcap analysis, network interface, ping test, traceroute, traffic statistics, Modbus TCP, EtherNet/IP, etc. It also supports explicit invocation via /net. Even if users only say "capture a packet", "scan ports", "check network connectivity" or "analyze this pcap", this skill should be triggered as long as the context involves network communication debugging.
Use when generating a Dockerfile for deploying a project to Zeabur. Use when the user needs help writing a Dockerfile for Node.js, Python, Go, Rust, PHP, Ruby, Java, .NET, or Elixir projects. Use when troubleshooting Dockerfile build failures on Zeabur.
Inspect, operate, and troubleshoot ERDA runtimes through erda-cli-backed workflows. Use when users need help with runtime status, deployment behavior, logs, scaling, restarts, or environment-oriented ERDA troubleshooting.
Jiminny platform help — conversation intelligence, revenue intelligence, AI notetaker, sales coaching, and automatic CRM logging. Use when setting up Jiminny call recording or transcription, configuring Jiminny CRM sync to Salesforce or HubSpot, connecting Jiminny to a dialer like Aircall or Dialpad, troubleshooting calls not appearing in Jiminny or tagging delays, pulling activity data from the Jiminny API, comparing Jiminny vs Gong pricing or features, or evaluating Jiminny for pipeline visibility. Do NOT use for general coaching program design (use /sales-coaching) or comparing standalone AI note-takers (use /sales-note-taker).
Cleft Notes platform help — Apple-native AI voice-to-notes app with on-device transcription that turns spoken thoughts into organized markdown notes with auto-headings. Use when setting up Cleft Notes for capturing voice memos and converting rambling thoughts into structured notes, configuring Obsidian or Notion sync to route Cleft notes into an existing knowledge base, troubleshooting recordings that fail after a couple minutes or produce garbled transcription output, setting up Zapier automations to send Cleft notes to project management or CRM tools, choosing between Cleft free and Plus plans, deciding whether Cleft or Voicenotes or AudioPen fits your voice capture workflow, or evaluating Cleft for ADHD-friendly voice-first note-taking on Apple devices. Do NOT use for comparing AI meeting note-takers across platforms (use /sales-note-taker) or reviewing a sales call for coaching (use /sales-call-review).
Use when installing, configuring, or troubleshooting the official Neo4j MCP server (neo4j/mcp): connecting Claude Code, Claude Desktop, Cursor, Windsurf, VS Code, Kiro, or other MCP-compatible editors to a Neo4j database via stdio or HTTP transport. Covers the four MCP tools (get-schema, read-cypher, write-cypher, list-gds-procedures), read-only mode, and multi-database configuration. Does NOT cover writing Cypher queries via those tools — use neo4j-cypher-skill. Does NOT cover agent memory — use neo4j-agent-memory-skill. Does NOT cover Aura instance provisioning — use neo4j-aura-provisioning-skill.
Assists with CachyOS and Arch-based Linux tasks: running commands, writing scripts, system diagnosis, and troubleshooting. Use when the user asks about CachyOS, Arch Linux, pacman, kernel (BORE/EEVDF/BMQ), systemd, performance tuning, package management, shell scripts, or Linux administration.
Validate n8n expression syntax and fix common errors. Use when writing n8n expressions, using {{}} syntax, accessing $json/$node variables, troubleshooting expression errors, mapping data between nodes, or referencing webhook data in workflows. Use this skill whenever configuring node fields that reference data from previous nodes — expressions are how n8n passes data between nodes, and getting the syntax wrong is the most common source of workflow errors.