By jwilger
Portable guardrails for building, evaluating, and delivering LLM and agentic systems.
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.
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Sign in to claimnpx claudepluginhub jwilger/ai-plugins --plugin agentic-systems-engineeringBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
A multi-harness marketplace of AI coding-assistant plugins for Claude Code, Codex, and other harnesses that adopt plugin or marketplace concepts.
Most plugins ship both a .claude-plugin/ and a .codex-plugin/ manifest and
are registered in both marketplace manifests. Codex-only plugins are registered
only in .agents/plugins/marketplace.json
and intentionally omitted from the Claude Code marketplace. Provider-backed
promptfoo evals exercise the relevant marketplace surface for each harness.
| Plugin | Description | Version |
|---|---|---|
| worktrees | Goal-driven worktree setup plus a guard that blocks commits from the main checkout. | 0.1.0 |
| babysit-pr | Forge-agnostic PR/MR babysitting across GitHub, Forgejo, and GitLab. | 0.1.0 |
| engineering-standards | A stack-agnostic, portfolio-grade engineering regime: a guardrail skill and a scaffold skill. | 0.2.0 |
| agentic-systems-engineering | Portable guardrails for building, evaluating, and delivering LLM and agentic systems. | 0.1.2 |
| eval-case-reporter | Capture sanitized eval cases from bad or borderline AI-assistant behavior and submit them to this marketplace. | 0.1.0 |
| development-discipline | Personal workflow skills for TDD, verification, debugging, review handling, and skill authoring. | 0.1.0 |
| Plugin | Description | Version |
|---|---|---|
| worktrees | Goal-driven worktree setup plus a guard that blocks commits from the main checkout. | 0.1.0 |
| babysit-pr | Forge-agnostic PR/MR babysitting across GitHub, Forgejo, and GitLab. | 0.1.0 |
| engineering-standards | A stack-agnostic, portfolio-grade engineering regime: a guardrail skill and a scaffold skill. | 0.2.0 |
| agentic-systems-engineering | Portable guardrails for building, evaluating, and delivering LLM and agentic systems. | 0.1.2 |
| eval-case-reporter | Capture sanitized eval cases from bad or borderline AI-assistant behavior and submit them to this marketplace. | 0.1.0 |
| advisor | Read-only planning advisor for fuzzy tradeoffs, scope shaping, specs, and ticket plans. | 0.1.0 |
| development-discipline | Personal workflow skills for TDD, verification, debugging, review handling, and skill authoring. | 0.1.0 |
When a plugin is added under
plugins/, add catalog rows only for the harness marketplaces that list it. Codex-only plugins must not be added to the Claude Code table.
Add this repository as a marketplace, then install a plugin from it:
# From inside Claude Code:
/plugin marketplace add jwilger/ai-plugins # GitHub owner/repo shorthand
# ...or a local checkout:
/plugin marketplace add ./ai-plugins
/plugin install <plugin-name>@ai-plugins
The marketplace is referenced by its name (ai-plugins) in install
commands, regardless of the URL you added it from. List and manage with
/plugin list, /plugin marketplace update ai-plugins, and
/plugin marketplace remove ai-plugins.
Complete SDLC workflow with TDD, Event Modeling, architecture decisions, and GitHub integration
Intelligent Nix devshell bootstrapper for any language or framework
John's standard engineering regime as a reusable, stack-agnostic starting point for any serious project.
Babysit a pull/merge request to completion — watch CI, respond to review feedback, and merge — across GitHub, Forgejo, and GitLab.
John's personal development workflow discipline: test-first implementation, scoped verification, debugging, review handling, and skill authoring.
Memory compression system for Claude Code - persist context across sessions
Standalone image generation plugin using Nano Banana MCP server. Generates and edits images, icons, diagrams, patterns, and visual assets via Gemini image models. No Gemini CLI dependency required.
Streamline people operations — recruiting, onboarding, performance reviews, compensation analysis, and policy guidance. Maintain compliance and keep your team running smoothly.
Create content, plan campaigns, and analyze performance across marketing channels. Maintain brand voice consistency, track competitors, and report on what's working.
Write feature specs, plan roadmaps, and synthesize user research faster. Keep stakeholders updated and stay ahead of the competitive landscape.
Unified capability management center for Skills, Agents, and Commands.