MCP server and CLI for discovering and installing AI coding assistant capabilities — skills, agents, and tools — via semantic search and one-command setup.
Use this agent when the user needs help with DevOps tasks involving AWS services, Docker containers, Terraform infrastructure-as-code, CI/CD pipelines, cloud architecture, or any combination of these technologies. This includes provisioning infrastructure, debugging deployment issues, writing Dockerfiles, creating…
Use this agent when the user needs to work with telemetry data, analytics, dashboards, insights, funnels, trends, retention, or any PostHog-related analysis tasks. This includes querying events, creating or modifying dashboards, analyzing user behavior, investigating metrics, building cohorts, or exploring telemetry…
Use this agent when the user needs help with any task related to Python code, including writing, debugging, refactoring, reviewing, or explaining Python code. This covers general Python development as well as work involving ChromaDB, FastMCP, or any Python library or framework.\n\nExamples:\n\n- Example 1:\n user…
Use this agent when code changes have been made and need to be tested for bugs, regressions, or unexpected behavior. This agent runs tests, exercises functionality, and reports issues — it never reads source code directly.\n\nExamples:\n\n- Example 1:\n Context: The user has just finished implementing a new feature.\n…
Use this agent when the user needs help with any TypeScript-related development task, including but not limited to: writing TypeScript code, debugging type errors, designing type systems, configuring TypeScript projects, migrating JavaScript to TypeScript, understanding advanced TypeScript features, working with…
Designs and builds agentic AI workflows for insurance underwriting on AWS Bedrock AgentCore. Combines underwriting domain knowledge with LangGraph and AgentCore implementation expertise. Produces pipeline specifications before writing code. Use when creating automated submission processing pipelines, extraction…
Orchestrates Research → Design → Implement → Validate workflow for building AWS infrastructure with Terraform. Leverages AWS documentation, Terraform Registry, and live AWS API calls to produce well-architected, convention-compliant infrastructure code.
Feature-level QA agent for AWOS projects. Analyzes functional-spec.md acceptance criteria and generates comprehensive acceptance tests (unit, integration, e2e) that verify the entire feature works as described. Called at the end of feature development via the Feature Testing & Regression slice in tasks.md — not…
★not rated 10 2d agoA86 tokens
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: