ad-creative — When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text.
address-sanitizer — Builds and runs code under AddressSanitizer to catch buffer overflows, use-after-free, and other memory errors during fuzzing or tests.
ads — When the user wants help with paid advertising campaigns on Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X, or other ad platforms.
advanced-evaluation — This skill should be used for advanced LLM evaluation: LLM-as-judge systems, direct scoring, pairwise comparison, rubric calibration.
aflpp — Sets up and runs AFL++ for multi-core fuzzing of C/C++ projects built with afl-clang-fast or afl-gcc-fast.
agent-web-search-setup — Sets up working web search on an agent whose model backend cannot run it.
agentic-actions-auditor — Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex.
agents-build — Use to extend an existing agent project with memory, app integration, VPC, multi-agent, migration, model, browser, code interpreter, payments.
agents-connect — Use when connecting your agent to external APIs, tools, or services via Gateway, or restricting tool access with Cedar policies.
agents-debug — Use when your agent or environment is broken — wrong answers, errors, timeouts, tool failures, or CLI issues. Reads traces and logs to diagnose root causes.
agents-deploy — Use when deploying your agent to AWS, or when a deploy has failed.
agents-get-started — Use when a developer wants to create a new agent project or get started with AgentCore.
agents-harden — Use when preparing your agent for production — IAM scoping, inbound auth (JWT, SigV4), secrets management, cold start optimization, session lifecycle.
agents-optimize — Use when measuring or improving agent quality and performance — set up evaluators, online monitoring, CI/CD quality gates, observability, or cost optimization.
agents-pay — Use when THIS agent needs to pay for x402-protected content at runtime: hitting a paywall mid-task, settling it via AgentCore Payments.
agents-sdk — Build, debug, or review Cloudflare Agents SDK applications using the agents package.
ai-seo — When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers.
ai-services — Configure DigitalOcean Gradient AI serverless inference and Agent Development Kit.
algorand-vulnerability-scanner — Scans Algorand smart contracts for 11 common vulnerabilities including rekeying attacks, unchecked transaction fees, missing field validations.
algorithmic-art — js with seeded randomness and interactive parameter exploration.
amazon-aurora-mysql — Amazon Aurora MySQL — creates, modifies, and advises on Aurora MySQL clusters specifically (MySQL-compatible engine, Aurora serverless, parallel query).
amazon-aurora-postgresql — Amazon Aurora PostgreSQL — creates, modifies, and advises on Aurora PostgreSQL clusters specifically (PostgreSQL-compatible engine, Aurora serverless.
amazon-bedrock — Builds generative AI applications on Amazon Bedrock.
amazon-braket — Runs quantum computing workflows on AWS through Amazon Braket — discovering devices (QPUs and simulators) and their availability.
amazon-dynamodb — Designs, reviews, and debugs DynamoDB data layers from design axioms — enumerates access patterns, chooses partition/sort keys and GSIs.
amazon-ec2-image-builder — Creates and automates custom image builds with EC2 Image Builder - Linux, Windows, and macOS AMIs, and container images to ECR.
amazon-elasticache — Activate when developers have latent caching needs: slow API responses, database read bottlenecks, DynamoDB throttling or cost, RDS/Aurora scaling pressure.
app-platform-networking — Configure domains, routing, CORS, VPC, static IPs, and inter-service communication for DigitalOcean App Platform.
app-platform-router — Routes DigitalOcean App Platform tasks to specialized sub-skills.
app-platform-sandbox — Create and manage isolated container sandboxes for AI agent code execution.
app-platform-troubleshooting — Debug running App Platform applications by accessing containers, analyzing logs, running diagnostics, and applying fixes.
arc-region-switch — Answers questions about Amazon Application Recovery Controller (ARC) Region switch including architecture, plans, execution blocks, workflows, triggers.
archify — Create polished, validated architecture, workflow, sequence, data-flow, and lifecycle/state diagrams as explorable standalone HTML with inline SVG.
archify-review — Review Archify issues, PRs, or code through value, cost, and impact to support evidence-based maintenance decisions.
architecture-designer — Use when designing new high-level system architecture, reviewing existing designs, or making architectural decisions.
aso — When the user wants to audit or optimize an App Store or Google Play listing.
asr-transcribe-to-text — Transcribe audio/video to speaker-labeled text — who-said-what by default, plain-text opt-out; MLX-local on Apple Silicon or remote; local files, media URLs.
atheris — Sets up and runs Atheris, the coverage-guided Python fuzzer built on libFuzzer.
atlassian-mcp — Integrates with Atlassian products to manage project tracking and documentation via MCP protocol.
attribution — When the user wants to figure out which marketing actually drives conversions and revenue, choose or interpret an attribution model.
audit-context-building — Understand a codebase before looking for bugs in it - what each function assumes, what it guarantees, and what it depends on elsewhere.
audit-prep-assistant — Prepares codebases for security review using Trail of Bits' checklist.
aurora-dsql — Provisions and manages Aurora DSQL clusters, connects via psql or DSQL Connectors, manages schemas, runs queries, migrates from MySQL, diagnoses query plans.
auto-repo-setup — Diagnose, repair, and standardize repository setup and safe Git workflows for Claude Code or Codex.
aws-ai-ml — Selects, deploys, and customizes AI models on Amazon SageMaker.
aws-amplify — Build and deploy full-stack web and mobile apps with AWS Amplify Gen2 (TypeScript code-first).
aws-auth — Adds user authentication to web and mobile apps with Amazon Cognito (user pools and identity pools) and the AWS Amplify client auth libraries.
aws-billing-and-cost-management — Analyze AWS costs, find savings, manage budgets, evaluate Savings Plans and Reserved Instances, right-size EC2/Lambda/RDS/EBS with Compute Optimizer.
aws-blocks — Guides building full-stack applications with AWS Blocks — an Infrastructure-from-Code framework.
aws-cdk — Authors, deploys, and troubleshoots AWS infrastructure using CDK with TypeScript or Python. Covers best practices, stack architecture, and construct patterns.
aws-cleanrooms — Troubleshoots and debugs AWS Clean Rooms collaboration issues related to IAM roles, S3 bucket policies, KMS keys, Lake Formation permissions.
aws-cloudformation — Authors, validates, and troubleshoots AWS CloudFormation templates.
aws-compute — Provisions, scales, and operates Amazon EC2 virtual-machine workloads: instance-type selection (Graviton/Arm64, burstable T credits, GPU.
aws-containers — Builds and deploys containerized workloads on Elastic Kubernetes Service (EKS), Elastic Container Service (ECS), Fargate, and ECR (Elastic Container Registry).
aws-database — Routes any task involving AWS databases — choosing, comparing, recommending, getting started with.
aws-deployment — Configures CI/CD pipelines using AWS CodePipeline, CodeBuild, CodeDeploy, CodeConnections, and CodeArtifact.
aws-iam — Provides verified corrections for IAM behaviors that AI agents frequently get wrong — policy evaluation edge cases, trust policy gotchas, STS session limits.
aws-lambda-durable-functions — Builds resilient, long-running, multi-step applications with AWS Lambda durable functions with automatic state persistence, retry logic.
aws-lambda-managed-instances — Evaluates, configures, and migrates workloads to AWS Lambda Managed Instances (LMI).
aws-lambda-microvms — Builds, runs, debugs, and operates applications on AWS Lambda MicroVMs — Firecracker-isolated.
aws-sdk-python-usage — AWS SDK for Python (boto3/botocore) development patterns. You MUST use this skill when writing Python code that uses AWS services via boto3 or botocore.
aws-sdk-swift-usage — AWS SDK for Swift development patterns. Use when writing Swift code that uses AWS services via aws-sdk-swift package.
aws-secrets-manager — Secret safety for AWS Secrets Manager, secret management, credentials, API keys, tokens, and passwords.
aws-serverless — Builds, deploys, manages, debugs, configures, and optimizes serverless applications on AWS using Lambda, API Gateway, Step Functions, EventBridge, and SAM/CDK.
aws-sms-voice — Onboards RCS Business Messaging and Notify OTP via the pinpoint-sms-voice-v2 AWS CLI.
aws-social-messaging — Manages WhatsApp messaging through AWS End User Messaging Social.
aws-step-functions — Authors and edits AWS Step Functions state machines: writes Amazon States Language (ASL) in JSONata, and chooses and structures state types (Task, Choice, Map.
aws-storage — Selects, investigates, and compares AWS object, file, and block storage services, and answers cost, performance, configuration, security.
aws-transform — Performs code upgrades, migrations, and transformations using the AWS Transform (ATX) CLI.
bambu-labs — Dry-run, upload, and cautiously initiate local Bambu Lab print jobs from validated plain `.gcode`, using Bambu LAN FTPS/MQTT handoffs.
bdi-mental-states — This skill should be used when modeling agent mental states with BDI concepts: beliefs, desires, intentions, RDF-to-belief transformations.
beachhead-segment — Identify the first beachhead market segment for a product launch.
benchmark-due-diligence — Runs adversarial due-diligence on a benchmark the user envies — a founder, KOL, company.