confident-client

Skills for instrumenting AI applications with the confident-trace SDK, exporting raw OpenTelemetry traces to Confident AI, and migrating from Langfuse.

3 skills

Skills for getting an LLM app ready to evaluate on Confident AI: create and verify an AI connection over the Confident AI MCP server, connect an app with no endpoint through the Confident Agent's handler mode, and upload a dataset.

2 skills

Onboard to Confident AI from your coding agent: sign in through the browser, save the API key without exposing it, add tracing, run your app on a batch of inputs, and confirm the traces arrived.

1 skill

Security default for organizations: seated outermost, it keeps the organization's classic hooks, prompt content, settings, tool policy and pinned environment out of reach of the plugins a person installs, and adds no policy of its own; one managed option, allowManagedModsOnly, limits mods to the organization's.

AI-powered codebase understanding — analyze, visualize, and explain any project

9 skills · 10 agents · hooks

Scaffold, validate, and publish new Claude Code plugins with proper structure

3 skills · 1 command · 1 agent

AI memory system — mine projects and conversations into a searchable palace. 47 MCP tools, auto-save hooks, guided setup.

3 skills · 6 commands · 1 MCP server · hooks

Query Trackio projects, runs, and metrics using the `trackio` CLI. Use when the user needs to list projects/runs/metrics, get summaries, or retrieve metric values from local Trackio databases. Supports both human-readable and JSON output formats. Covers project discovery, run inspection, metric querying, and system metrics. Designed for LLM agents and automation scripts.

1 skill

Claude Code skill for creating and presenting Slidev slidedecks

1 skill