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Found 1,836 Skills
Go implementation guide for PMA-managed service and CLI projects. Covers project layout (cmd/internal), strict linting with golangci-lint v2, database access (sqlc + pgx or GORM), HTTP patterns (stdlib + Chi or Gin), layered config with koanf, structured logging with slog, OpenTelemetry observability, and CI quality gates.
Read, create, and manage Notion pages and databases through conversation. Search workspace content, create new pages, query databases, and update existing content. Use when the user asks about Notion, their notes, docs, wikis, project boards, or any Notion database.
Open Orbit briefing skill — selected by the Orbit pipeline when Notion is the user's only connected connector, or when the user explicitly scopes their daily digest to Notion. Pulls the past 24 hours of document edits, comments, mentions, and database row changes from the user's authenticated Notion connection and renders the digest as a native Notion page (callout / toggle / database table primitives). This skill should not be triggered manually — it is invoked by Orbit's daily-digest scheduler against live Notion data.
Every Fireflies meeting feature, plus offline search, cross-meeting intelligence, and a local database no other tool... Trigger phrases: `find stale action items from meetings`, `search my meeting transcripts for`, `who talked most in recent meetings`, `sync fireflies meetings`, `use fireflies-pp-cli`, `run fireflies`, `what did we discuss with`.
Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases.
Azure cloud resources including VMs, VMSS, SQL Database, Storage, AKS, App Service, Functions, VNet networking, load balancers, Event Hubs, Container Apps, and Key Vault. Monitor Azure infrastructure, analyze resource usage, audit security posture, and manage organizational hierarchy across subscriptions and resource groups.
Use this skill when the user asks about Goldsky Subgraphs — deploying, managing, or querying subgraphs. Triggers on: 'deploy a subgraph', 'migrate from The Graph', 'what is a subgraph', 'GraphQL endpoint', 'low-code or no-code subgraph', 'subgraph tags', 'subgraph webhooks', 'cross-chain subgraph', 'subgraph stalled', 'subgraph API key', 'init subgraph', 'scaffold subgraph', 'subgraph logs', 'pause subgraph', 'start subgraph', 'graft subgraph'. Also use this skill when the user wants to build a GraphQL API over onchain data, power a dApp frontend with indexed blockchain data, or reuse an existing TheGraph subgraph on Goldsky. For questions about streaming raw chain data directly to a database without GraphQL, use the turbo-builder or mirror skills instead.
Discover, choose, install, and learn iii workers from the worker registry. Use when the task needs a worker-backed capability such as harness, shell, sandbox, database, storage, MCP, ACP, image processing, or future workers published to workers.iii.dev.
Explore and query any dataset annotated with a Frictionless Data Package descriptor (datapackage.json). Use this skill whenever a user wants to discover what tables or resources a dataset contains, look up column names and descriptions, surface usage warnings embedded in metadata, or understand how to load data from Parquet files, DuckDB or SQLite databases, or CSV files described by a datapackage.json. Also use when the user has a datapackage.json and wants to know what's in it, how to query it efficiently, or how to connect its metadata to actual data files. Pairs well with dataset-specific skills (like `pudl`) that layer domain knowledge on top.
Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or generating content grounded in a RAG corpus. Do not use for standard database queries (use SQL/Spanner skills), Google Workspace RAG, or other RAG products like gRAG.
Use the Data Analysis Agent to perform natural language business analytics, auto-generate SQL queries, create visualizations, and produce business insights from Excel/CSV/databases
This skill should be used when the user wants to interact with their paper database — listing papers, searching content, showing paper details, adding papers, or exporting context. Matches queries like "search papers for X", "add this arXiv paper", "show equations from paper Y", "what papers do I have". Prefer CLI over MCP RAG tools for direct lookups.