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SkillsMP a collecté 23 skills depuis aws-samples/sample-agent-greenhouse. Ouvrez un skill pour examiner sa source et ses détails.
Affichage de 23 skills collectés sur 23.
Build and deploy a small Slack Events API adapter for an Amazon Bedrock AgentCore Harness, with incremental responses delivered through Slack chat.startStream, chat.appendStream, and chat.stopStream. Use when a customer wants to create or reuse an AgentCore…
Langue du texte source : anglais
Guide developer teams through AIDLC Inception — structured requirements gathering, design, and artifact generation
Langue du texte source : anglais
Reviews agent code for security vulnerabilities, quality issues, and agent-specific best practices. Checks for prompt injection, credential exposure, unsafe execution, error handling, and testing.
Langue du texte source : anglais
Debugging specialist for AgentCore deployments: container failures, IAM permission errors, runtime exceptions, networking issues, and performance problems. Use when developers report errors, crashes, deployment failures, or need help troubleshooting their…
Langue du texte source : anglais
Generates deployment configurations for Amazon Bedrock AgentCore. Produces Dockerfiles, IAM policies, CDK stacks, buildspec files, runtime configs, and environment variable templates following AWS security best practices and least-privilege principles.
Langue du texte source : anglais
Reviews agent applications for platform deployment readiness. Checks containerization, secrets, config, health endpoints, statefulness, error handling, dependencies, and security.
Langue du texte source : anglais
Fleet operations specialist for agent restart, scaling, graceful draining, and capacity planning. Use when teams need to restart agents, scale the fleet up or down, drain agents for maintenance, or plan capacity.
Langue du texte source : anglais
Governance specialist for agent registration, Cedar policy management, message routing configuration, and platform compliance. Use when teams need to register agents, configure policies, set up routing patterns, or enforce governance standards.
Langue du texte source : anglais
Create structured GitHub issues from review and compliance findings
Langue du texte source : anglais
Platform knowledge base: readiness requirements (C1-C12), deployment patterns, agent architecture patterns, and troubleshooting guides. Use when developers ask about platform capabilities, best practices, requirements, how to deploy, what is needed, or need…
Langue du texte source : anglais
Production monitoring specialist for AgentCore deployments: CloudWatch metrics, alarms, dashboards, operational best practices. Use when developers need to set up monitoring, configure alerts, analyze metrics, troubleshoot performance issues, or build…
Langue du texte source : anglais
Observability specialist for agent fleet monitoring, policy violation tracking, audit log analysis, and compliance reporting. Use when teams need to check agent status, investigate violations, analyze audit logs, or generate operational reports.
Langue du texte source : anglais
Onboarding specialist for new team setup, CLAUDE.md generation, agent configuration, and platform standards compliance. Use when teams need to onboard to the platform, set up new agents, generate configuration files, or learn platform standards.
Langue du texte source : anglais
Review GitHub PRs for code quality and spec compliance
Langue du texte source : anglais
Generate project skeletons and boilerplate for agent projects
Langue du texte source : anglais
Verify codebase compliance against spec.md acceptance criteria
Langue du texte source : anglais
Generate structured test cases from spec.md acceptance criteria with 1:1 AC-to-TC traceability
Langue du texte source : anglais
Deep knowledge about AI agent architectures, AWS services, memory patterns, and best practices. Use as reference when answering technical questions.
Langue du texte source : anglais
Analyze and optimize costs for AI agent workloads on AWS — model selection, caching, memory pricing, scaling strategies. Use when the user asks about costs, pricing, or optimization.
Langue du texte source : anglais
Help teams migrate AI agents between frameworks and runtimes — Bedrock Agents to AgentCore, LangChain to Strands, monolith to multi-agent. Use when the user asks about migration, porting, or switching frameworks.
Langue du texte source : anglais
Compile enterprise policies into project-level CLAUDE.md files. Use when onboarding a new project (Phase 1) or when the user asks about policy requirements, compliance, or CLAUDE.md generation.
Langue du texte source : anglais
Review AI agent security — IAM policies, secret management, input validation, prompt injection defense, memory isolation. Use when the user asks about security, hardening, or threat modeling for agent systems.
Langue du texte source : anglais
Help design and implement test strategies for AI agents — unit tests, integration tests, agent evaluation, memory testing, tool mocking. Use when the user asks about testing agents.
Langue du texte source : anglais