agentic-systems-engineering
v1.0.0agentic-systems-engineering is an open-source Codex plugin indexed from GitHub with 4 skills. Review its manifest and source before installing.
4 GitHub starsUpdated last month
Directory evidence
- Runtimes
- Codex
- Parsed components
- 4 skill or MCP entries
- Source updated
- Sep 2, 2026
- Manifest status
- Canonical path parsed
The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →
Install agentic-systems-engineering for Codex
codex plugin marketplace add IchenDEV/agent-plugin-mkt
codex plugin marketplace upgrade agent-plugin-marketplace
codex plugin add agentic-systems-engineering@agent-plugin-marketplacePaste and run these commands in a terminal with Codex. They add and refresh the PluginsMP catalog, then install this plugin.
The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.
Get the source manually
git clone https://github.com/jwilger/ai-pluginsClone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is plugins/development-system/components/agentic-systems-engineering/.
Plugin files
├── .codex-plugin/plugin.json├── skills/agentic-delivery/SKILL.md├── skills/agentic-systems-engineering/SKILL.md├── skills/evaluate-stochastic-systems/SKILL.md└── skills/scaffold-agentic-evals/SKILL.md
Included Skills4
Use when planning or delivering an LLM or agentic-system project, especially for experiment loops, walking skeletons, demos, data stories, scope control, and release-readiness evidence.
Use when designing, implementing, reviewing, or debugging LLM-backed or agentic systems, including prompts, structured outputs, tool use, RAG, agent loops, orchestration, observability, security, cost/provider routing, and AI delivery plans.
Use when evaluating prompts, LLM features, agents, RAG, judges, tool-use policies, or any stochastic behavior where one successful run is not reliable evidence.
Use when setting up a project-local eval harness for prompts, agents, judges, RAG, tools, or other LLM behavior, especially when the default should be free/OSS promptfoo with repo-owned artifacts.
Plugin manifests1
{
"name": "agentic-systems-engineering",
"version": "1.0.0"
}For maintainers
If you maintain this plugin, link to this source-backed listing from your README so users can review its manifest and indexed components.
[agentic-systems-engineering on Agent Plugins Marketplace](https://pluginsmp.com/plugins/agentic-systems-engineering)