Guidelines for deep learning development with PyTorch, Transformers, Diffusers, and Gradio for LLM and diffusion model work.
Score 70/100
Guides architectural decisions for Deep Agents applications. Use when deciding between Deep Agents vs alternatives, choosing backend strategies, designing subagent systems, or…
Score 70/100
Reviews Deep Agents code for bugs, anti-patterns, and improvements. Use when reviewing code that uses create_deep_agent, backends, subagents, middleware, or human-in-the-loop…
Score 70/100
Use when discussing or working with DeepEval (the python AI evaluation framework)
Score 70/100
Configure Deepgram CI/CD integration for automated testing and deployment. Use when setting up continuous integration pipelines, automated testing, or deployment workflows for…
Score 70/100
Collect Deepgram debug evidence for support and troubleshooting. Use when preparing support tickets, investigating issues, or collecting diagnostic information for Deepgram…
Score 70/100
Deploy Deepgram integrations to production environments. Use when deploying to cloud platforms, configuring containers, or setting up Deepgram in Docker/Kubernetes/serverless.
Score 70/100
Execute Deepgram incident response procedures for production issues. Use when handling Deepgram outages, debugging production failures, or responding to service degradation.
Score 70/100
Configure Deepgram local development workflow with testing and mocks. Use when setting up development environment, configuring test fixtures, or establishing rapid iteration…
Score 70/100
Transcribes audio using the Deepgram Nova-2 API with diarization, punctuation, and smart formatting. Supports streaming via WebSocket and batch via REST with pre-recorded endpoint…
Score 70/100
Execute Deepgram production deployment checklist. Use when preparing for production launch, auditing production readiness, or verifying deployment configurations.
Score 70/100
Implement Deepgram rate limiting and backoff strategies. Use when handling API quotas, implementing request throttling, or dealing with 429 rate limit errors.
Score 70/100
Implement Deepgram reference architecture for scalable transcription systems. Use when designing transcription pipelines, building production architectures, or planning Deepgram…
Score 70/100
Essential procedural knowledge and constraints for writing, debugging, and understanding the `at` programming language.
Score 70/100
Development workflow for features, bugs, refactoring. Auto-activates for multi-file implementations.
Score 70/100
Development workflow for features, bugs, refactoring. Auto-activates for multi-file implementations.
Score 70/100
Production-grade defensive Bash scripting for server automation, monitoring, and DevOps tasks. Emphasizes safety, error handling, idempotency, and logging.
Score 70/100
Expert knowledge for DeFi/MEV bot development including critical pitfalls, backtesting realities, AMM mechanics, MEV extraction strategies, and production failure modes
Score 70/100
Manifest builder. Plan work, scope tasks, spec out requirements, break down complex tasks before implementation.
Score 70/100
Encode test, lint, build, and docs routines as named Python sessions so humans and agents run the same workflow every time.
Score 70/100
Use as the mandatory front door for ALL planning, brainstorming, design, and "let's build/add/change/plan X" work — including prompts that claim the problem statement is already…
Score 70/100
Defines standard TypeScript interfaces for Appwrite Collections. Use when creating new models for Tours, Users, or Bookings to ensure full type safety.
Score 70/100
Root-cause flaky or failing E2E tests from a specific CI run by downloading and analyzing the Playwright HTML report (traces, screenshots, errors).
Score 70/100
Automatically gather flaky E2E tests from recent CI runs on the main branch and from recent PRs by wwwillchen/keppo-bot/dyad-assistant, then deflake them.
Score 70/100
Delete a saved render profile by name. Use when the user says "delete the render profile", "remove my preset", or "clean up old render profiles".
Score 70/100
Test-Driven Development patterns for testing AI deliberation features. Use when adding new deliberation features, adapters, convergence detection, or decision graph components.
Score 70/100
Compare reply rates, bounce rates, and positive reply rates broken down by inbox type (SMTP / Gmail / Outlook) for a Smartlead account.
Score 70/100
Use when designing cloud infrastructure, CI/CD pipelines, or deployment strategies
Score 70/100
Expert delivery management for release planning, deployment coordination, incident response, change management, and SLA tracking across continuous delivery pipelines.
Score 70/100
Generate a detailed test plan covering scenarios, environments, data, and reporting for the release.
Score 70/100
Deno 2 development workflow including testing with permissions and JSR package management. Use when working with Deno projects, setting up new Deno applications, or when the user…
Score 70/100
Domain-Driven Design patterns and architecture for Deno TypeScript applications. Use when building complex business logic, implementing bounded contexts, or structuring…
Score 70/100
Guidelines for developing with Deno and TypeScript using modern runtime features, security model, and native tooling
Score 70/100
Check dependencies for known vulnerabilities using npm audit, pip-audit, etc. Use when package.json or requirements.txt changes, or before deployments.
Score 70/100
TRIGGER when: adding or upgrading any dependency — library, SDK, framework, API, IaC API version (K8s/Terraform/Helm), CRD, or container image. Use BEFORE writing the call.
Score 70/100
Review code for proper DI patterns using DryIoc. Ensures no static singletons, validates constructor injection and service lifetimes.
Score 70/100
Manage Python dependencies using uv package manager. Use when installing, adding, removing, or updating packages. Always prefer uv over pip.
Score 70/100
Master major dependency version upgrades, compatibility analysis, staged upgrade strategies, and comprehensive testing approaches.
Score 70/100
Upgrade dependencies for Java/Kotlin (Gradle/Maven) and TypeScript/Node projects with minimal risk: plan the bump, apply changes incrementally, run tests/builds, and document…
Score 70/100
Automated package dependency verification skill that validates npm and Python package versions from package.json and requirements.txt files.
Score 70/100
Bring up a self-hosted voice agent that answers, routes, or transfers live calls through Asterisk or FreePBX with a PBX-native workflow.
Score 70/100
Deploy Python agents to AWS Bedrock AgentCore. Use when deploying agents to AWS, setting up serverless agent hosting, configuring AgentCore components (Runtime, Gateway, Memory,…
Score 70/100
Use an agent-facing OpenClaw security guide to audit a live setup, surface conflicts, and apply a bounded hardening defense matrix with explicit approval gates and nightly checks.
Score 70/100
Manage multi-environment Kubernetes rollouts from a single project so you can diff, deploy, prune, and promote targets without hand-stitching every overlay.
Score 70/100
One-click deploy to production. User just says "deploy". Use when: user wants to publish their app. Triggers: "deploy", "publish", "go live", "опубликуй".
Score 70/100
Deploy containerized applications to AWS ECS/Fargate. Use when deploying containers to AWS, managing ECS services, or setting up Fargate tasks. Covers task definitions and ECR.
Score 70/100
Safe deployment of Polymarket trading bot with regression tests and active trade protection
Score 70/100
Pre-deployment verification for young-personal-site. Ensures build success, TypeScript, i18n sync, and functionality.
Score 70/100
CI/CD pipeline, GitHub Actions, automated deployment, release management, production shipping, and software delivery.
Score 70/100
Deploy to Cloudflare edge platform. Use when deploying static sites to Pages, serverless functions to Workers, or configuring CDN/DNS. Covers Wrangler CLI.
Score 70/100
Deploys a component (frontend, backend, or landing) using SST. Use when deploying to AWS, pushing to dev or prod environments.
Score 70/100
Validate the documentation build and prepare for GitHub Pages deployment. Runs the Eleventy build, validates output, checks component counts, and provides deployment instructions.
Score 70/100
EAT-SSU Android 앱 릴리즈 자동화. 버전 범프, 릴리즈 노트 작성, release 브랜치 생성, PR 생성까지 전체 배포 플로우를 실행한다. "배포", "릴리즈", "release", "deploy", "출시", "버전 올려" 등의 키워드에 반응.
Score 70/100
Deploy Frappe HRMS code changes to AWS production. Use when you need to deploy Python/API changes to the Frappe Docker container.
Score 70/100
Build and deploy a full-stack app (React frontend + Python/FastAPI backend) to Vercel as a serverless demo with seeded data
Score 70/100
Assist with deployment workflow to production. Run pre-deploy checks, verify migrations, and validate deployment readiness.
Score 70/100
Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI…
Score 70/100
SEMO npm 패키지 배포. Use when (1) "npm 배포", "패키지 배포해줘", (2) CLI/MCP 변경 후 배포, (3) "버전 올리고 배포".
Score 70/100
Deploy oo-chat to production — publish connectonion-ts to npm via GitHub Actions, update oo-chat dependency, commit, push, verify Vercel deploy
Score 70/100
Deploy the OpenTelemetry observability stack (Prometheus, Grafana, OTEL Collector) to a Kind cluster for testing toolhive telemetry.
Score 70/100