308 skills · sorted by relevance
Vercel deployment platform — project configuration, serverless/edge functions, Routing Middleware, cron jobs, environment variables, monorepo setup
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SST (Ion) infrastructure-as-code — TypeScript-first serverless on AWS with Pulumi, resource linking, and live Lambda dev
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Netlify deployment platform — serverless functions, edge functions, redirects, forms, Blobs, build plugins
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Serverless PostgreSQL on Vercel with edge-compatible SDK
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Pinecone serverless vector database -- index management, vector operations, metadata filtering, namespaces, hybrid search, inference API
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Serverless Redis-compatible key-value store via Upstash REST API -- edge-compatible, automatic JSON serialization, TTL-based caching
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Serverless GPU compute platform for AI model deployment — web endpoints, GPU functions, model serving, and TypeScript client patterns
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Serverless PostgreSQL with branching, autoscaling, and edge-compatible driver
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Upstash serverless Redis -- REST-based client, auto-serialization, pipelines, rate limiting, QStash, edge compatibility, global replication
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Serverless MySQL platform with branching, deploy requests, and edge-compatible driver
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Exploit misconfigurations in AWS Cognito, specifically focusing on unauthorized identity pool access, user pool self-registration issues, and privilege escalation via custom attributes to access broader AWS infrastructure.
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Cloud security posture assessment for AWS, Azure, and GCP. Tests IAM privilege escalation paths, public storage exposure, serverless attack surface, database exposure, logging gaps, container registry security, and cloud-specific attacks. Both authenticated (with cloud credentials) and unauthenticated (external) modes. Uses nuclei cloud templates, Prowler, ScoutSuite, manual IMDS/metadata probing, and deep AWS/Azure/GCP CLI enumeration. Produces: cloud architecture diagram, attack path map, findings per category, compliance mapping (SOC 2, PCI DSS 4.0, HIPAA, CIS), PoCs for confirmed exploits. Chains into /gh-export for issue filing.
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Deploy and manage serverless applications on Volcengine veFaaS. Use when the user wants to deploy web apps, manage functions (pull code, upload and deploy), configure environment variables, inspect veFaaS projects, troubleshoot vefaas CLI/auth/framework issues, or work with veFaaS services.
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Deploy a local project directory or Git repository to Volcengine as a running, reachable cloud service. USE WHEN: deploy to Volcengine, deploy to 火山引擎/火山, deploy this repo/project, publish current code, launch the app, run it in the cloud, expose it as a service, deploy to ECS/VKE/veFaaS, run on ECS, push to VKE, deploy as serverless/FaaS, or the user wants the agent to choose a Volcengine hosting target. If the user only asks which Volcengine deployment target to choose, use `volcengine-prepare` skill first. Not for creating a single standalone resource — use `volcengine-cli` skill for that.
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Discovers requirements and generates architectural, design, and deployment guidance for dynamic hybrid search systems by combining semantic search and keyword search. Optimized for AlloyDB hybrid search use cases in Google Cloud. Use when users need vector search combined with structured SQL filtering, faceted attributes, semantic reranking, in-database AI validation, or serverless hosting across transactional relational databases, analytical data warehouses, or managed database engines. DON'T use this skill for simple keyword-only search, or when a standalone non-relational vector database is required.
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Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.
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Work with Runpod GPU infrastructure and documentation. Use when Codex needs to create, deploy, manage, debug, or review Runpod Pods, Serverless workers/endpoints, templates, network volumes, Public Endpoints, Flash apps, runpodctl commands, Runpod Python SDK usage, REST/GraphQL API usage, Runpod MCP setup, Docker images for Runpod, endpoint request payloads, logs, billing/cost checks, or Runpod deployment troubleshooting.
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Deep knowledge about deploying applications to Netlify (static sites, edge functions, serverless functions).
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Select and implement the right Azure compute platform for a workload. Decision tree guides choice based on workload characteristics, scaling needs, and operational maturity. Covers serverless, PaaS, containers, Kubernetes, and IaaS patterns.
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AWS CDK infrastructure builder using TypeScript with L2/L3 constructs and Well-Architected patterns. Activate on: AWS CDK, CDK construct, CDK stack, CDK pipeline, AWS infrastructure as code TypeScript, L2 construct, CDK patterns. NOT for: Terraform IaC (use terraform-module-builder), Kubernetes manifests (use kubernetes-manifest-generator), serverless framework (use devops-automator).
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Collection of AWS development skills covering CDK infrastructure as code, cost optimization, and serverless/event-driven architectures with integrated MCP servers.
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Generalize published Spectre and remote microarchitectural research into passive target prerequisites, defensive review, and approval-gated local validation. Use for shared runtimes, JavaScript isolates, edge workers, serverless platforms, browser sandboxes, remote timing, cache side channels, speculative type confusion, or Dynamic Process Isolation analysis.
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Actorization converts existing software into reusable serverless applications compatible with the Apify platform. Actors are programs packaged as Docker images that accept well-defined JSON input, perform an action, and optionally produce structured JSON output.
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Princípios de design de banco de dados e tomada de decisão. Design de schema, estratégia de indexação, seleção de ORM, bancos de dados serverless.
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