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Plugins for Coding Agents

Install the official skills as plugins through the Claude Code, Cursor, and Codex marketplaces.

Overview

Confident AI's Agent Skills also ship as plugins — the packaging format Claude Code, Cursor, and Codex use to distribute skills through their plugin marketplaces. A plugin is a thin wrapper: a manifest that points at a skills/ folder, so installing the plugin installs all of its skills at once and your client keeps it updated through its marketplace.

If you already installed the skills individually (for example with npx skills add), you don't need the plugins too — they deliver the same SKILL.md files. Plugins are the better choice when you want one-command installs, team-wide distribution, or your client's built-in update flow.

Available Plugins

PluginRepositoryBundlesClaude CodeCursorCodex
confident-traceconfident-ai/confident-skillsconfident-tracing, confident-otel, confident-migrate-langfuseYesYesYes
confident-clientconfident-ai/confident-skillsconfident-clientYesYesYes
confident-eval-setupconfident-ai/confident-skillsconfident-eval-setup, confident-agent-handlerYesYesYes

The confident-skills repository doubles as a plugin marketplace for all three, so you add it as a marketplace source once, then install by plugin name.

Claude Code

Add the repo as a marketplace, install the plugin, and reload:

/plugin marketplace add confident-ai/confident-skills
/plugin install confident-trace@confident-skills
/reload-plugins

Run /plugins afterwards to confirm the plugin appears under your installed plugins.

Cursor

The repository carries a Cursor plugin manifest (.cursor-plugin/plugin.json) for each plugin. Install one by pasting the repository URL into the plugin search in Cursor's Customize panel, or from the chat with the same marketplace commands Claude Code uses:

/plugin marketplace add https://github.com/confident-ai/confident-skills

The marketplace holds all three plugins. Once installed, Cursor discovers every skill in the plugin's skills/ folder automatically — the agent activates them on matching prompts, or you can invoke one explicitly by typing / followed by the skill name.

Codex

The confident-skills repository ships a Codex marketplace file (.agents/plugins/marketplace.json) listing all three plugins:

codex plugin marketplace add confident-ai/confident-skills

Then run /plugins in Codex and install confident-trace, confident-eval-setup, or confident-client. You can also copy a skill folder directly into .agents/skills/:

git clone https://github.com/confident-ai/confident-skills
mkdir -p .agents/skills/
cp -r confident-skills/plugins/confident-trace/skills/confident-tracing .agents/skills/

FAQs

I already installed the skills — do I need the plugins too?

No. Plugins deliver the same SKILL.md files the Skills CLI does, so installing both just duplicates them. Pick plugins for one-command installs and marketplace updates; pick the Skills CLI for installing a single skill or for clients without a plugin system.

How do plugin updates work?

Your client tracks the repository as a marketplace source, so updates flow through its own mechanism — Claude Code and Cursor refresh from the marketplace, and Codex re-fetches with codex plugin marketplace upgrade. Skills installed by copy or CLI are static snapshots by comparison.

Is installing straight from a GitHub repo safe?

Installing from a repo URL means trusting that repo rather than a curated marketplace review. Here the repo is Confident AI's public, Apache-2.0 confident-skills repository, and every instruction the skills give your agent is readable in the repo before you install.

Next Steps

A plugin only delivers the skills — each skill still has its own prerequisites (the confident-trace or confident-ai package and the right API key, or the MCP server for confident-eval-setup). See the individual skill pages for what to set up and example prompts:

Agent Skills Overview

What each skill does, which API key it needs, and every install method side by side.

MCP Server

Pair the plugins with live access to your project's traces, datasets, and evals.

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