Skills
96,770 packaged capabilities and playbooks for agents. Install any of them with one command.
Development
Design a SaaS product's MCP server as a product surface AI agents operate - sizing the build investment, curating a 5-15 workflow-tool agent surface instead of mirroring API endpoints, MCP Apps interactive UI, named write-tool safety patterns (scoped credentials, read-only lockdown, human-in-the-loop approval, risk-tiered server-side gates, dry-run preflight, idempotency and spend caps), remote hosting with OAuth 2.1, versioning the tool surface, MCP registry discoverability, and measuring agent adoption. Use whenever the user mentions MCP, Model Context Protocol, an agent-facing tool surface, exposing a product to AI agents or coding assistants, or MCP write-tool safety - even if they never say "MCP server". Design layer only - code-generation MCP builder skills scaffold what this specifies.
Decide a public API's language-SDK portfolio - which languages get official SDKs and in what order, generated vs handwritten build model, official and community support tiers with a promotion gate, SDK deprecation and end-of-life, and decoupling SDK SemVer from API versioning and release cadence. Use whenever the user mentions client libraries, SDKs, which languages to support first, an SDK generator (Stainless, Fern, OpenAPI Generator), community SDKs, or sunsetting an SDK - even if they never say "SDK portfolio". Portfolio strategy only, not single-SDK ergonomics or registry publishing. Do NOT use for whether to offer SDKs as a surface at all - use samber/developer-platform-skills@api-integration-surface-strategy instead.
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".
Prevent silent decimal mismatch bugs across EVM chains. Covers runtime decimal lookup, chain-aware caching, bridged-token precision drift, and safe normalization for bots, dashboards, and DeFi tools. Use when handling token amounts across EVM chains, or when a balance, price, or transfer amount is off by orders of magnitude.
Design the rate-limit policy a public API publishes to its consumers - the metering model per paradigm (REST request counting vs GraphQL cost points), tier and quota-vs-burst numbers, multi-tenant fairness, rate-limit headers (legacy X-RateLimit-* vs IETF RateLimit fields), 429 and Retry-After behavior, enterprise and partner overrides, and change-notice rules. Use whenever the user mentions rate limits, quotas, throttling tiers, 429 responses, noisy neighbors, or limit-increase requests - even if they never say "rate-limit policy". Policy layer only, not gateway configuration. Do NOT use for the 429 error envelope - use samber/developer-platform-skills@api-error-design instead.
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.
Iterative frontend development loop using Meticulous for per-step visual validation. Use when implementing a multi-step frontend change and wanting to catch visual regressions and unintended side effects at each step, before the final cloud test run
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 generative AI applications on Amazon Bedrock. Covers model invocation (Converse API, InvokeModel), RAG with Knowledge Bases, Bedrock Agents, Guardrails, and AgentCore (including the Harness managed agent loop). Applies when invoking models, setting up Knowledge Bases, deploying to AgentCore, migrating/porting/converting a Bedrock Agent (including inline agents) to an AgentCore Harness, troubleshooting Bedrock errors (ThrottlingException, AccessDeniedException), or choosing Bedrock models (Claude, Llama, Nova, Titan). Also for KB migration to Managed, prompt caching, quota and throttling diagnosis, cost tracking, migrating between Claude model generations, chunking strategies, and Bedrock model selection. Covers AgentCore Payments (x402, microtransactions, Payment Manager, Connector, Instrument, Coinbase CDP, Stripe Privy, paid endpoints, agent payments). NOT for custom model training, Rekognition, or Comprehend. For SageMaker model discovery, customization, or endpoints, use aws-ai-ml.
Develop a Base44 app remotely inside Base44's cloud sandbox using your own agent — no local checkout and no deploy/push commands. The implementation is remote: writing a resource file into the sandbox is what ships it (backend functions, realtime actors, entities, and agents all auto-sync from the file you write), and OAuth connectors are set up against the remote app via MCP tools or the projectless `base44 connectors` CLI. This skill is the place for learning what you can author in the sandbox, how backend functions, actors, entities, and agents are structured, and how to connect a connector without a local filesystem. Triggers on 'develop my Base44 app remotely', 'no local files', 'cloud sandbox', 'create an entity/agent remotely', 'add realtime/multiplayer/presence remotely', 'connect a connector remotely', 'bring my own agent', or any work editing a Base44 app inside a sandbox.
Next.js renderer for json-render that turns JSON specs into full Next.js applications with routes, layouts, SSR, and metadata. Use when working with @json-render/next, building Next.js apps from JSON specs, or creating AI-generated multi-page applications.
Create, edit, replicate, import, and export draw.io diagrams with an offline YAML-first workflow: architecture, network topologies, flowcharts, UML/ER, org charts, Mermaid/CSV conversion, existing .drawio bundles, style presets, themes, and non-publication formula diagrams. For publication figures (paper, thesis, IEEE, camera-ready) use drawio-academic-skills instead.
Generates Spring Boot 3.x configurations, creates REST controllers, implements Spring Security 6 authentication flows, sets up Spring Data JPA repositories, and configures reactive WebFlux endpoints. Use when building Spring Boot 3.x applications, microservices, or reactive Java applications; invoke for Spring Data JPA, Spring Security 6, WebFlux, Spring Cloud integration, Java REST API design, or Microservices Java architecture.
Migrates Next.js projects to vinext (Vite-based Next.js reimplementation). Load when asked to migrate, convert, or switch from Next.js to vinext. Handles compatibility scanning, package replacement, Vite config generation, ESM conversion, and deployment setup (Cloudflare Workers natively, other platforms via Nitro).
Searches current documentation, release notes, API references and public repository issues for libraries, frameworks, SDKs, APIs and CLI tools with `firecrawl developer`. Use before answering when the user names a version, is upgrading, pastes an error from a library or tool, or asks how to use, configure or migrate a specific library or API. Model knowledge stops at a training cutoff and misses new releases, renamed APIs, changed defaults and recent fixes, so when a version, option, error or API is unfamiliar or may have changed, look it up instead of guessing. Also checks whether a bug was fixed and in which release. Not for general programming concepts, code that uses no specific library, or refactoring code the user supplied.
Audit an existing or proposed public REST API surface as a checklist-driven design review: resource and URI naming, HTTP method and status-code correctness, field-naming consistency, pagination pattern choice, filtering/sorting/field-selection conventions, a consistent error envelope, and Hyrum's Law backward-compatibility risk. Bucket each finding as Must-change or Improvement against a cited rule, and cover the standing review program (audience, lifecycle triggers, reviewer authority, linting, federation). Use whenever the user mentions an API design review, REST API consistency, endpoint naming, pagination style, or API design governance—even if they never say “design review.” Do NOT use for GraphQL schemas; use samber/developer-platform-skills@public-graphql-api-design instead.
Design the error surface of a public API so integrators self-serve fixes - a machine-readable error-code taxonomy (flat catalog, code/subcode, Google-style domain/reason), the RFC 9457 problem-details envelope with extension members, actionable error messages, retryability signaling (retryable flag, Retry-After), and per-endpoint error documentation with request-ID tracking. Use whenever the user mentions API error codes, an error taxonomy, RFC 9457, application/problem+json, 4xx/5xx response bodies, or confusing API error messages - even if they never say "error design". Do NOT use for client-side retry mechanics - use samber/developer-platform-skills@api-idempotency-retry - nor for incident and status-page communication - use samber/developer-platform-skills@api-status-communication instead.
Design a public gRPC surface for external developers - the when-gRPC-at-all gate (most platforms keep gRPC internal and publish REST or transcoded JSON), AIP proto package and versioning conventions, buf breaking-change gates and their google.api.http blind spot, unary-by-default streaming decisions, the google.rpc.Status error model with its HTTP-mapping traps, transcoding and gateway architecture (Connect-RPC, grpc-gateway, Envoy), and external auth and TLS. Use whenever the user mentions gRPC, protobuf or .proto files, buf, Connect-RPC, grpc-gateway, or gRPC-JSON transcoding at a public edge - even if they never say "gRPC API design". Design layer only, not language-specific server implementation.
Design a public GraphQL API for third-party developers - the GraphQL-or-not gate, schema conventions (naming, nullability, Node interface, input/payload types), Relay cursor-connection pagination, union/interface error result types, depth and complexity ceilings as design decisions, the federation trust boundary (only the router is ever public), and a persisted-query policy that allowlists first-party traffic only. Use whenever the user mentions GraphQL, a public schema, Relay connections, query depth limits, persisted queries, federation, or GraphQL vs REST - even if they never say "GraphQL API design". Design layer only. Do NOT use for a REST surface review - use samber/developer-platform-skills@public-api-design-review instead.
Define an API's versioning and deprecation policy: choose a version scheme (URI path, header, date-based account-pinned, or deliberate no-versioning), write a breaking-change definition, set deprecation notice windows by audience, plan sunset communication (RFC 9745 Deprecation and RFC 8594 Sunset headers), decide enforcement at the sunset date (fall-forward vs. hard cutoff), and govern breaking changes. Treat REST versioning and sunset separately from GraphQL continuous schema evolution. Use whenever the user mentions API versioning, /v2, breaking changes, deprecation, sunset dates, or migration windows—even if they never say “versioning policy.” Client SDK versioning is plain SemVer and belongs to samber/developer-platform-skills@sdk-portfolio-strategy.
Windows App Development CLI (winapp) for building, packaging, signing, debugging, and UI-automating Windows applications. Use when asked to initialize Windows app projects, create MSIX packages, manage AppxManifest.xml or development certificates, run an app as packaged for debugging, automate Windows UI via Microsoft UI Automation, publish to the Microsoft Store, or access Windows SDK build tools. Covers commands like init, pack, run, unregister, manifest, cert, sign, store, ui, and tool. Supports .NET (csproj), C++, Electron, Rust, Tauri, Flutter, and other Windows frameworks.
CrewAI architecture decisions and project scaffolding. Use when starting a new crewAI project, choosing between LLM.call() vs Agent.kickoff() vs Crew.kickoff() vs Flow, scaffolding with 'crewai create flow', setting up YAML config (agents.yaml, tasks.yaml), wiring @CrewBase crew.py, writing Flow main.py with @start/@listen, building experimental conversational Flows with handle_turn()/chat(), or using {variable} interpolation.
Connects to and performs inference with Google Cloud Agent Platform GenAI models, including First-Party Gemini models and Third-Party OpenMaaS models (Llama, DeepSeek, Qwen, etc.). Use when asked to perform inference, ask a model a question, run a test prompt, execute chat completions, or generate code for calling Gemini or OpenMaaS models, authenticate with GenAI SDK, OpenAI SDK, or legacy Agent Platform SDK, configure base URLs and global/regional endpoints, or troubleshoot 429 Resource Exhausted (DSQ), 400 User Validation, or 404 Not Found errors. Don't use for deploying models to endpoints or for running model evaluations.
Expert guide for using n8n-mcp MCP tools effectively. Use when searching for nodes, validating configurations, accessing templates, managing workflows, organizing workflows into folders, managing credentials, auditing instance security, or using any n8n-mcp tool. Provides tool selection guidance, parameter formats, and common patterns. IMPORTANT — Always consult this skill before calling any n8n-mcp tool — it prevents common mistakes like wrong nodeType formats, incorrect parameter structures, and inefficient tool usage. If the user mentions n8n, workflows, nodes, or automation and you have n8n MCP tools available, use this skill first.
Design native iOS interfaces following Apple Human Interface Guidelines. Use when the user mentions "iPhone app", "iPad layout", "SwiftUI", "UIKit", "Dynamic Island", "safe areas", "HIG compliance", "SF Symbols", "haptic feedback", "iOS accessibility", "make my app feel native", or "follow Apple design guidelines". Also trigger when building tab bars, navigation stacks, sheets, or modals for iOS, implementing dark mode, or adapting layouts across screen sizes. Covers navigation patterns, accessibility, SF Symbols, and platform conventions. For general UI polish, see refactoring-ui. For affordance design, see design-everyday-things.
Orchestrate App Store releases with asc, including staging a version, uploading or building an artifact, publishing, and submitting for review. Use when the user wants to prepare or execute a release. Keep Game Center item preparation in this skill; route other readiness failures, stuck submissions, cancellation, and retry decisions to asc-submission-health.
Drop-in inspector panel for any json-render app. Use when the user wants to debug a generative UI, inspect the spec tree, edit state at runtime, see dispatched actions, follow stream patches live, browse a catalog, or pick DOM elements to find their spec keys. Triggers include "add devtools", "debug json-render", "inspect the spec", "why is this element not rendering", "see the state at runtime", or requests to tap streams / capture action logs for `@json-render/devtools`.
Route and complete Composio work across Composio For You and Composio Platform. Use when the user mentions Composio; wants an agent to use apps such as Gmail, Slack, GitHub, Notion, Calendar, or Linear; needs first-time setup, an SDK or MCP integration, CLI operation, migration guidance, current documentation, or help diagnosing a connection or tool call.
Query the official CrewAI documentation for answers. Use when the user has a CrewAI question that isn't fully covered by the getting-started, design-agent, design-task skills — e.g., specific API details, configuration options, advanced features, troubleshooting errors, enterprise features, tool references, or anything where the latest docs are the best source of truth.
Operate GitHub through the gh-axi CLI - issues, pull requests, discussions, stacked PRs, workflow runs, workflows, releases, repositories, labels, gists, Projects (v2), Actions secrets and variables, search, and raw API access. Use whenever a task touches GitHub: listing or filing issues, reviewing or merging PRs, managing stacked branches and PRs, checking CI runs, triggering workflows, cutting releases, managing Projects boards, managing Actions secrets/variables, or working with gists via `gist list`, `gist view`, `gist edit`, `gist rename`, `gist create`, `gist delete`, or `gist clone`.
Find and fix game performance problems methodically — measure with the engine profiler first, reason about the frame-time budget, locate the CPU-vs-GPU bottleneck, then apply the right fix: object pooling, draw-call batching, fewer allocations/GC spikes, and asset budgets. Engine-neutral method that pairs with each engine's profiler. Use when the user mentions performance, optimize, low/dropping FPS, frame drops, stutter, lag, profiler, frame budget, draw calls, batching, garbage collection/GC spikes, object pooling, or "the game runs slow".
Manage Apifox project resources via the Apifox CLI. Trigger scenarios: run API automation tests / test suites; query, create, update, or delete project resources such as APIs, environments, schemas, mocks, and branches; import and export API documentation; view test reports; manage Runner, scheduled tasks, notifications, and other CI/CD configurations. CLI output is structured JSON and often contains agentHints.nextSteps; all commands support --help.
Design NPC and enemy decision-making with finite state machines, behavior trees, steering behaviors, and A* pathfinding — engine-neutral algorithms that pair with the detected engine's navigation API. Use when building enemy AI, an FSM or behavior tree, steering/flocking, or pathfinding, or when the user mentions state machine, behavior tree, blackboard, A*, navmesh, seek, or patrol/chase.
INVOKE FIRST for any LangChain / LangGraph / Deep Agents agent building project before consulting other skills or writing any agent code. Required starting point for up to date info on framework selection (LangChain vs LangGraph vs Deep Agents vs hybrid composition), agent patterns, install, environment setup, and which skill to load next.
Implement game audio practice — bus/mixer architecture and gain in decibels, ducking (sidechain), adaptive/dynamic music via layering and re-sequencing, SFX variation, and beat synchronization. Engine-neutral. Use when the user mentions audio mixing, audio buses, adaptive/dynamic music, ducking, SFX variation, music layers, or syncing gameplay to the beat.
Guides agents and users through migrating from Gemini API in Google AI Studio to Gemini Enterprise Agent Platform (formerly Vertex AI). Use this skill when moving applications to Google Cloud, to leverage Cloud credits, or to unify inferencing with other Cloud infrastructure (IAM, billing, telemetry).
Build game cameras that feel good — 2D follow with a deadzone, look-ahead, smoothing, and level-bounds clamping; 3D third-person orbit with collision and first-person look; plus multi-target framing and a shake hook. Engine-neutral techniques that pair with the engine's camera node and rigs like Unity Cinemachine or Godot Camera2D/PhantomCamera. Use when the user mentions camera follow, follow camera, deadzone, look-ahead, camera smoothing, camera bounds/limits, third-person camera, orbit camera, first-person look, Cinemachine, or camera jitter.
Creates interactive HTML playgrounds — self-contained single-file explorers that let users configure something visually through controls, see a live preview, and copy out a prompt. Use when the user asks to make a playground, explorer, or interactive tool for a topic.
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.