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Found 6,664 Skills
Retrieve full historical end-of-day price data for market indices using Octagon MCP. Use when analyzing index performance over time, tracking market trends, calculating returns, and understanding market context for individual stock analysis.
Retrieve the latest stock grades and ratings from top analysts and financial institutions using Octagon MCP. Use when tracking analyst upgrades, downgrades, rating changes, and institutional sentiment over time.
Google Workspace administration via the gws CLI. Install, authenticate, and automate Gmail, Drive, Sheets, Calendar, Docs, Chat, and Tasks. Run security audits, execute 43 built-in recipes, and use 10 persona bundles. Use for Google Workspace admin, gws CLI setup, Gmail automation, Drive management, or Calendar scheduling.
Query the QuickGO and Evidence & Conclusion Ontology (ECO) REST API. Use this when you need to map genes to biological processes, molecular functions, or cellular components, find genes associated with a specific pathway/GO term, or explore the Gene Ontology hierarchy. Do not use for querying drug targets (use OpenTargets) or mechanistic signaling pathway diagrams (use KEGG).
Use this skill when the user asks about Goldsky Edge — the managed RPC endpoint service for EVM chains. Triggers on: 'Edge RPC', 'Goldsky RPC endpoint', 'edge.goldsky.com', 'eth_getLogs is slow', 'RPC rate limit', 'hedged requests', 'flashblocks', 'HyperEVM system transactions', 'x402 pay-per-request RPC', 'Goldsky Edge pricing', 'Edge dashboard', 'gs_edge_ API key', 'rpc-edge'. Also use this skill when the user wants a resilient, low-latency JSON-RPC endpoint for EVM chains (Ethereum, Base, Arbitrum, Optimism, Polygon zkEVM, BSC, Avalanche, Berachain, HyperEVM, Monad, Sei, Sonic, Unichain, zkSync, etc.), is debugging RPC errors like -32005/-32012/-32014/-32015/-32016, or is comparing providers (Alchemy, Infura, QuickNode, Ankr) against Edge. For questions about self-hosting eRPC or custom eRPC configuration beyond what Edge exposes, point them at https://docs.erpc.cloud/llms.txt. Do NOT trigger on Goldsky Mirror, Turbo, or Subgraph pipeline questions — those belong to their respective skills.
Use this skill when the user asks about a Goldsky Compose field, flag, type, or API shape — lookup reference for compose.yaml fields, every `goldsky compose` CLI flag, the TaskContext API (env, fetch, callTask, logEvent, evm, collection), wallet APIs (smart wallet, BYO EOA), gas sponsorship, contract codegen, dashboard URL, and pricing. Triggers on: 'compose.yaml fields', 'cron syntax for compose', 'http trigger auth', 'onchain_event format', 'TaskContext API', 'evm.wallet options', 'sponsorGas default', 'IWallet methods', 'Collection methods', 'compose codegen', 'compose pricing', 'compose status JSON output', 'goldsky compose flags'. Consult before suggesting a field, flag, or API shape — avoids hallucinating nonexistent options. For step-by-step building, use /compose. For debugging, use /compose-doctor. Do NOT trigger on Turbo, Mirror, Subgraphs, or Edge lookups — those belong to their own reference skills.
Use this skill when the user asks about Goldsky Compose — the offchain-to-onchain TypeScript framework for onchain oracles, keepers, circuit breakers, and cross-chain automation. Triggers on: 'goldsky compose', 'compose.yaml', 'compose deploy/init/dev', 'compose task', 'cron task onchain', 'sponsored gas', 'writeContract from TypeScript', 'build a price oracle', 'resolve prediction market', 'onchain event listener', 'HTTP-triggered task', 'smart wallet'. Also use when the user wants to run TypeScript against EVM chains with managed gas, schedule onchain writes via cron, react to onchain events, or deploy a serverless task with secrets and a smart wallet. For debugging a broken app, use /compose-doctor. For manifest/CLI/API lookups, use /compose-reference. Do NOT trigger on Goldsky Turbo, Mirror, Subgraphs, Edge, or Datasets — those belong to their respective skills.
Google Meet integration. Manage Meetings, Recordings. Use when the user wants to interact with Google Meet data.
When the user wants to identify or fix keyword cannibalization in Google Ads — where multiple campaigns or ad groups are competing against each other in the same auction. Triggers on 'keyword cannibalization', 'campaigns competing with each other', 'duplicate keywords', 'keyword overlap', 'internal competition', 'same keyword in multiple campaigns', 'cannibalization check', 'campaign conflict', 'which campaign wins the auction', 'overlapping match types', or 'cross-campaign negatives'. For general negative keyword strategy see google-ads-negative-keywords.
Patterns and anti-patterns for using OpenAI Codex Goals — the persistent objectives feature introduced in Codex 0.128.0. Use this skill whenever writing, reviewing, or debugging a `/goal` invocation, deciding whether a task should be a Goal at all, drafting a research Goal that needs an evidence ledger, or diagnosing a Goal that completed against the wrong surface. Triggers on `/goal`, "Codex Goal", "Codex goals", "persistent objective", "evidence-based completion", "iteration policy", "blocked stop condition", or any user message describing a multi-turn Codex task with a defined finish line. Trigger even if the user doesn't explicitly mention Goals — if they're typing "/goal" or asking Codex to "keep going until X", this skill applies.
Interactively discovers requirements for a specific cloud workload and generates design recommendations and architectural guidance to build a multi-product solution in Google Cloud. Use this skill for holistic, end-to-end design recommendations and architectural guidance for complex, multi-product workloads on Google Cloud for specific use cases. Don't use this skill when other specialized skills (e.g., product-specific or google-cloud-recipe-*) directly address the user's workload or use case.
Discovers requirements and generates guidance to design and deploy a governed, secure agentic-analytics solution for data that's distributed across Google Cloud, other cloud providers, or on-premises. Data that's outside Google Cloud (such as data from Databricks, Snowflake, Salesforce, SAP, or Oracle systems) is accessed through federation mechanisms such as Apache Iceberg, other "zero-copy ETL" methods, or remote query push-down. Use this skill when designing an architecture for efficient analytics across large volumes of structured and unstructured data that's located in multiple systems and environments, including other cloud providers and on-premises.