Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
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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.
Track crypto portfolio across 7 blockchains via EmblemAI. Aggregated balances with USD values, conditional trade P&L, and DeFi position tracking via Nansen. Use when the user wants to check their portfolio, see balances across chains, or review trade positions.
Optimize a B2B SaaS vendor's own listing on a third-party app marketplace - Salesforce AppExchange, HubSpot, Atlassian, Shopify, Slack or similar. Covers the view-to-install funnel, keyword placement, screenshot and demo-video order, category choice, compliant review velocity, badge pursuit and rank decay. Use whenever the user mentions an AppExchange listing, marketplace listing conversion, marketplace search rank, app installs or app reviews - even without saying "listing optimization". Do NOT use for the operator's own rulebook (use samber/developer-platform-skills@app-marketplace-listing-standards), AppExchange packaging or security review (samber/developer-platform-skills@salesforce-appexchange-playbook), or Slack app review (samber/developer-platform-skills@slack-app-directory-playbook).
Analyze Terraform plan JSON output for AzureRM Provider to distinguish between false-positive diffs (order-only changes in Set-type attributes) and actual resource changes. Use when reviewing terraform plan output for Azure resources like Application Gateway, Load Balancer, Firewall, Front Door, NSG, and other resources with Set-type attributes that cause spurious diffs due to internal ordering changes.
Use when building Python 3.11+ applications requiring type safety, async programming, or robust error handling. Generates type-annotated Python code, configures mypy in strict mode, writes pytest test suites with fixtures and mocking, and validates code with black and ruff. Invoke for type hints, async/await patterns, dataclasses, dependency injection, logging configuration, and structured error handling
Plan a SaaS vendor's presence as a source connector on third-party ETL/ELT platforms - demand validation before any build, platform selection from where customers' data stacks run, a build-path menu (platform-managed listing, vendor-maintained SDK connector, custom open-source tap) ranked by who absorbs the maintenance tax, an extraction-readiness audit of the product API, honest CDC scoping (API sources ship pseudo-CDC, never log-based), certification targets, and a funded maintenance plan. Use whenever the user mentions an ETL or ELT catalog listing, a source connector, data-pipeline integration, or adding CDC - even if they never say "connector strategy". Do NOT use for the vendor's own inbound marketplace - use samber/developer-platform-skills@connector-marketplace-strategy instead.
Create new Agent Skills for GitHub Copilot from prompts or by duplicating this template. Use when asked to "create a skill", "make a new skill", "scaffold a skill", or when building specialized AI capabilities with bundled resources. Generates SKILL.md files with proper frontmatter, directory structure, and optional scripts/references/assets folders.
Agent Platform Model Tuning. Use when you need to fine-tune open models or Gemini models using Agent Platform infrastructure. Don't use for model training outside Agent Platform, model deployment to endpoints (use `agent-platform-deploy`), or managing serving endpoints (use `agent-platform-endpoint-management`).
Design how a platform surfaces integration failures to the external developers and partners who built against it - per-integration request/event/delivery logs with replay, correlation IDs that survive from response header to support ticket, error-rate aggregation per API key or app split by 4xx/5xx/429, proactive partner notification with cooldowns against alert fatigue, and a provider-side fleet view of which integrations are breaking. Use whenever the user mentions a developer-facing error dashboard, exposing request logs to integrators, alerting partners about broken integrations, or cutting integration support tickets - even if they never say "observability". Do NOT use for platform-wide incident comms - use samber/developer-platform-skills@api-status-communication instead.
Build, modify, and ship Grafana dashboards as JSON via the HTTP API — panel types (timeseries / stat / gauge / table / heatmap / logs / traces / node-graph), `gridPos` 24-column layout, units, thresholds, template + datasource + chained variables, transformations (`organize` / `calculateField` / `filterByValue`), panel + dashboard links with `${__field.labels.x}` / `${__from}`, and Loki/Prometheus annotations. Use when scripting dashboard creation, writing the dashboard JSON for a new service, adding a `$job` dropdown variable, computing an "Error %" column with a transformation, overlaying deploys as annotations, or pushing a dashboard via `POST /api/dashboards/db` — even when the user says "create a dashboard for this metric", "add a service dropdown", "show errors as percentage", "overlay our deploys", or "export the dashboard JSON" without naming the API or schema. After every API push, verify with the returned `version` plus a GET on the dashboard UID.
Crypto market intelligence via EmblemAI. Trending tokens, on-chain analytics, derivatives data, and smart money tracking from CoinGecko, CoinGlass, Birdeye, and Nansen. Use when the user wants market data, trending tokens, derivatives analytics, or on-chain intelligence.
Manages and orchestrates prompts in Agent Platform. Use when you need to create, list, retrieve, version, or delete managed prompts in Agent Platform. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform prompts.
DEPRECATED - this skill is unmaintained. Use the official Angular skills at https://github.com/angular/skills instead. Implement signal-based reactive state management in Angular v20+. Use for creating reactive state with signal(), derived state with computed(), dependent state with linkedSignal(), and side effects with effect(). Triggers on state management questions, converting from BehaviorSubject/Observable patterns to signals, or implementing reactive data flows.
Use when the user wants a last30days-style pre-research pass in Deepline: discover the critical public, private, CRM, workflow, social, and web data sources for a research/enrichment job; compare provider coverage; estimate Deepline credit cost; recommend the source plan before building or running the workflow; or build custom language/messaging from buyer, competitor, community, and CRM evidence. Triggers: pre-research, source discovery, provider strategy, research data sources, ScrapeCreators, X/Twitter data, Reddit comments, public and private datasets, CRM data, workflow data, custom language, messaging language, pain language.
Analyze Azure resource groups and generate detailed Mermaid architecture diagrams showing the relationships between individual resources. Use this skill when the user asks for a diagram of their Azure resources or help understanding how the resources relate to each other.
Use the Notion CLI (`ntn`) to interact with the Notion API, manage workers, and upload files. Use when the user asks to "call the Notion API", "deploy a worker", "upload a file to Notion", "create a page", "query a database", or any task involving the `ntn` command.
Technology-agnostic prompt generator that creates customizable AI prompts for scanning codebases and identifying high-quality code exemplars. Supports multiple programming languages (.NET, Java, JavaScript, TypeScript, React, Angular, Python) with configurable analysis depth, categorization methods, and documentation formats to establish coding standards and maintain consistency across development teams.
Provides malware analysis and network traffic techniques for CTF challenges. Use when analyzing obfuscated scripts, malicious packages, custom crypto protocols, C2 traffic, PE/.NET binaries, RC4/AES encrypted communications, YARA rules, shellcode analysis, malware memory forensics (Volatility malfind, process injection detection), anti-analysis techniques (VM/sandbox detection, timing evasion, API hashing, process injection, environment checks), or extracting malware configurations and indicators of compromise.
Use this skill when the user wants to create a Model Context Protocol (MCP) server in Java or in a Spring Boot app. Also use it when the user wants AI agents, such as GitHub Copilot or Claude, to use Java code, an API, or a database. Use it even if the user does not say "MCP". The skill makes a Maven or Gradle project with the MCP Java SDK 2.x, tools, JUnit tests, and client configuration. Do not use it for Quarkus/Quarkiverse MCP servers (use the `quarkus-mcp-server-sse` instruction), for an MCP client or for a server in another language
Onchain transaction gateway across XLayer, Solana, Ethereum, Base, BSC, Arbitrum, Polygon and 20+ chains. Invoke to broadcast a pre-signed / raw / already-signed transaction, push a serialized tx on-chain, query current gas price, estimate gas limit, simulate or dry-run a transaction before sending, track a broadcast order, or check tx-confirmed / pending status by txHash or orderId.
Security checklist for Solidity AMM contracts, liquidity pools, and swap flows. Covers reentrancy, CEI ordering, donation or inflation attacks, oracle manipulation, slippage, admin controls, and integer math. Use when auditing or writing Solidity AMM, liquidity pool, or swap code.
Develop a Base44 app remotely from your own coding agent (Claude Code, claude.ai, or any MCP client) by connecting it to the Base44 sandbox. Cloud agents connect over MCP; local agents can connect over MCP or drive the same sandbox with the `base44 sandbox` CLI subcommands (the CLI uses shorter names — e.g. read_file is `sandbox read`, list_directory is `sandbox ls`, run_command is `sandbox run`). Covers connecting/ authenticating, the available sandbox tools (run_command, read_file, write_file, edit_file, grep, list_directory, create_checkpoint, list_user_apps, and the connector tools list_connectors / initiate_connector_connection), the edit→preview→verify loop, how changes persist, builder/external-agent concurrency, the in-editor "Send to Coding Agent" button + onboarding README URLs, and tips like reading the Vite dev-server logs. Triggers on "develop my Base44 app remotely", "connect Claude Code to Base44", "bring my own agent", "edit a Base44 app over MCP", "Base44 sandbox MCP", or "Send to Coding Agent".
Connect to EmblemVault and manage wallet-aware workflows via EmblemAI with review-first, operator-controlled actions. Supports Solana, Ethereum, Base, BSC, Polygon, Hedera, and Bitcoin. Also use when the user needs Emblem's auth model explained: one browser auth flow can log a user in with wallets, email/password, or social sign-in, while agent mode can auto-provision a profile-scoped wallet with no manual setup.
Use this skill when someone wants to learn GitHub Copilot CLI from scratch. Offers interactive step-by-step tutorials with separate Developer and Non-Developer tracks, plus on-demand Q&A. Just say "start tutorial" or ask a question! Note: This skill targets GitHub Copilot CLI specifically and uses CLI-specific tools (ask_user, sql, fetch_copilot_cli_documentation).
Answer crypto market-data questions with BlackForge. Use this skill whenever the user asks about order-book or trade data for a coin on a spot venue — its latest stats on an exchange, order-book depth or resting/pulled liquidity for a pair, taker buy-vs-sell volume, order-ladder rungs, price-level lifetime, trade timing, outsized trades, or market-cap/attention enrichment; when they want to pull, chart or compare a metric over a time range; or when they ask which pairs a venue lists. Covers 9 spot exchanges (binance, bitget, bybit, coinbase, gate, kraken, kucoin, mexc, okx) and 14,000+ spot pairs — 169 measurement columns per pair per closed minute (1m on Ultra/PAYG, 5m/1h/1d rollups on every plan). Trigger even when BlackForge is not named but the question is about crypto market data on a venue. Drives the BlackForge MCP tools (blackforge_catalog / blackforge_symbols / blackforge_latest / blackforge_series / blackforge_usage) or the `blackforge` CLI; never reimplements the API. Every returned column is a measurement, not a trade call.
Curated prompt and usage examples for research, portfolio review, quote requests, approval-gated drafts, NFT discovery, prediction-market analysis, and assistant workflows. Emphasis is review-first, trust-boundary-aware use of external data, and explicit confirmation before any value-moving action. Use when the user wants example prompts, phrasing guidance, or sample requests for end-user EmblemAI tasks.
Suggest relevant GitHub Copilot Custom Agents files from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing custom agents in this repository, and identifying outdated agents that need updates.
React integration skill for EmblemAI's one-shot user management. Use when the user wants to add website authentication plus wallet-enabled users to a React app with EmblemAuthProvider, ConnectButton, social/email/wallet login, chat components, React auth hooks, React composition patterns, or Migrate.fun React hooks.
Manages GenAI tuning jobs in Agent Platform. Use this to list, get, or cancel ongoing model tuning jobs. Don't use for fine-tuning models (use `agent-platform-tuning`), deploying models to endpoints (use `agent-platform-deploy`), or managing serving endpoints (use `agent-platform-endpoint-management`).
Create and configure hookify rules — markdown files with YAML frontmatter that match bash, file, prompt, or stop events by regex or conditions and show warn/block messages to the agent. Use when creating a hookify rule, writing hook rule syntax, configuring hookify, or adding pattern guardrails such as blocking dangerous commands, .env edits, or debug code.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.