langchain-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 CrewAI 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 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

Agent skills for Azure SQL Developer, the Azure SQL Database engine running locally in a container. Teaches your agent to run the engine, connect, migrate, scaffold, build RAG, wire CI, and go local-to-cloud, using the real Private Preview image instead of the SQL Server image.

17 skills

LLM application development with LangGraph, RAG systems, vector search, and AI agent architectures for Claude 4.6 and GPT-5.4

8 skills · 3 commands · 3 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

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