crewai-agent

Deploy a scaffolded agent to OpenShift using a UBI 9 Python S2I multi-stage build. Works with any agent from the framework skills.

9 skills

Add a secure code sandbox to a scaffolded agent. Inserts the run_code tool into agent.py, starts the sandbox, runs verification tests, and optionally adds MLflow tracing. Works with LangGraph, CrewAI, AutoGen, LlamaIndex, and Google ADK agents.

9 skills

Scaffold a basic AutoGen agent with a tool, wired to any OpenAI-compatible endpoint (OpenAI, vLLM, Ollama, RHOAI Model-as-a-Service).

9 skills

Scaffold a basic Google ADK agent with a tool, wired to any OpenAI-compatible endpoint (OpenAI, vLLM, Ollama, RHOAI Model-as-a-Service).

9 skills

Scaffold a basic LangChain/LangGraph ReAct agent with a tool, wired to any OpenAI-compatible endpoint (OpenAI, vLLM, Ollama, RHOAI Model-as-a-Service).

9 skills

Scaffold a basic LlamaIndex ReAct agent with a tool, wired to any OpenAI-compatible endpoint (OpenAI, vLLM, Ollama, RHOAI Model-as-a-Service).

9 skills

MetaHarness integration — surfaces score/genome/mint/mcp-scan/threat-model via skills; pairs with @metaharness/router (ADR-148/149) for cost-optimal model routing; honors ADR-150 optional-augmentation constraint

13 skills · 1 command · 1 agent · hooks

Personalized AWS guidance built on patterns from 350,000+ startups. Get architecture, cost, and security recommendations matched to your stage, from day-one account setup to production-ready infrastructure. Migrate to AWS from Azure, GCP, or Heroku with resource discovery, cost estimates, and generated Terraform. Move OpenAI, Azure OpenAI, and Gemini code to Amazon Bedrock, and plan and prototype AI agents on AgentCore and other AWS runtimes. Includes AWS Activate credits eligibility, 60+ exclusive startup offers, and multi-account, multi-region support. Built by AWS Startup Solutions Architects.

13 skills · 1 command · 7 agents · 1 MCP server

Independent auditing for AI agents, open source. Claude discovers your setup, confirms the cost, and audits your agent against the one question other tools skip: is it doing the job it's supposed to do, given your business rules and org structure? Test any model (Anthropic, OpenAI, Gemini, Azure, Bedrock, …) graded by self, one independent judge, or a cross-vendor panel; each provider is billed to its own account via a key in your settings, never the command line. Results render as an interactive artifact (with a static-report fallback).

1 skill · hooks

REST and GraphQL API scaffolding, framework selection, backend architecture, and API generation

1 skill · 4 agents

AI agent skills for CopilotKit — search the current documentation and source, and drive the CopilotKit CLI

9 skills · 2 MCP servers

Build, launch, grade, and schedule Claude Managed Agents (CMA) in your own Anthropic account — a plugin re-implementation of Anthropic's launch-your-agent reference skill (Apache-2.0; independent, not a fork). Every session starts with a goal (./my-agent/goal.json, opt-in SessionStart hook, driven by /cs-goal); loop_compiler.py compiles it into a bounded grade->iterate loop (max_iterations 1..20), a recurring cron scheduled-deployment loop, or a single-pass interview->stage->launch workflow. 6 skills: orchestrator (context: fork goal router) + interview + stage-launch + grade-iterate + run-without-you + wrap-up. 18 stdlib-only deterministic scaffolders (no network/API calls; live launches emitted as BYOK curl that never prints the key), 4 agents, 8 commands, hooks, 5 references, 4 assets. Validators enforce CMA limits. Distinct from engineering/agent-harness (generic domain loop) and write-a-skill (authors Claude Code skills, not CMAs).

6 skills · 8 commands · 4 agents · hooks