agent-deploy-openshift
claudeDeploy a scaffolded agent to OpenShift using a UBI 9 Python S2I multi-stage build. Works with any agent from the framework skills.
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).
Plugin google-adk-agent from marketplace agentops-redhatskills in eformat/agentops-redhatskills-com. Commands read from the repo's manifest — 1 month ago.
agent-deploy-openshiftagent-sandboxingagentops-create-contentautogen-agentcrewai-agentgoogle-adk-agentlangchain-agentllamaindex-agentmlflow-tracingDeploy 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 CrewAI 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
14 bundled product skills with 19 Python tools: product-skills fork-orchestrator with continuous-discovery loop (deterministic 16-lane router, Torres cadence tracker, OST linter, /cs-product + /cs-grill-product + /cs-product-loop), product manager toolkit (RICE, PRDs), product strategist, UX researcher, UI design system, competitive teardown, landing page generator, SaaS scaffolder, product analytics, experiment designer, product discovery, roadmap communicator, spec-to-repo, design-qa (UI finish gate: inert controls, missing states, rendered WCAG 2.2 checks). Companion standalone plugins: agile-product-owner, code-to-prd, apple-hig-expert, research-summarizer, design-qa.
14 skills · 3 commands · 1 agent · hooks
Comprehensive context engineering and harness engineering skills for production-grade AI agent systems: fundamentals, degradation patterns, compression, optimization, self-managed context (model-controlled live context editing), multi-agent coordination, long-horizon prompting (pseudo-formal task briefs for long-running and parallel agents), memory systems, tool design, filesystem context, hosted agents, evaluation, autonomous harnesses, self-improvement loops (RSI, meta-harnesses, evolutionary scaffold search), latent briefing (KV cache sharing between agents), project development, and cognitive architecture. Ships with a researcher operating system (rubrics, mechanism registry, claim provenance, run state machine, adversarial benchmarks, continuous loop).
19 skills
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