Agent skills for ChatGPT

Installs and configures ktx, the open-source context layer for data agents — runs ktx setup non-interactively with hidden CLI flags…

Design a Kubernetes cluster architecture — node pools, RBAC, networking, and workload config.

Kubeflow Pipelines skill for ML workflow orchestration, component management, and Kubernetes-native ML.

Tiltfile, Makefile, and Kustomize templates for K8s operators

Multi-cluster Kubernetes dashboard with AI-powered operations via MCP server and 10+ built-in agent skills

Classify curriculum content into Know, Understand, and Do categories to align teaching and assessment approaches.

Use when generating ConfigMaps and Secrets with Kustomize for Kubernetes configuration management.

Use when users want to create a new skill or improve an existing one, especially when they need help defining scope, choosing a skill…

Convert natural language queries to KWDB SQL for time series data, relational data and cross-model analysis.

Web search using Tavily AI-powered search API.

Prepare Korean interview follow-up questions and evidence-backed answer points from resume.md, JD analysis, cover letter text, and an…

Type-safe SQL query building in TypeScript using Kysely.

Automate L2s tasks via Rube MCP (Composio).

Place lab supply orders from member requests — route by request header to Amazon Business, the Pritzker Lab Google Form, or a direct…

Complete browser automation with Playwright.

Three.js textures - texture types, UV mapping, environment maps, texture settings.

Use when: (1) Your agent's LB score drops dramatically week-over-week without code changes, (2) You're tempted to add "meta-aware" bonuses…

Use when choosing between submission sequences rather than between single venues — "should I try the top journal first, or start one rung…

Use when the user wants to position a brand or product, write or diagnose a positioning statement, brief creative work, develop or review…

Slow down interpretation from observation to action.

Guides and best practices for working with Lakebase Postgres on Neon: connections, pooled vs direct, schema migrations, branching…