AI Agent Skills

Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific…

Reliable browser automation and testing engine for web agent tasks.

Structures git workflow practices. Use when making any code change. Use when committing, branching, resolving conflicts, opening or reviewing a pull request (PR), pushin…

Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes,…

When the user wants to figure out which marketing actually drives conversions and revenue, choose or interpret an attribution model, or reconcile conflicting numbers acr…

Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experimen…

Run the Omnigent load test and produce a results file explaining the latencies. Load when the user wants to load-test / stress-test / benchmark Omnigent under concurrenc…

Production-grade engineering skills and quality gates for AI coding agents.

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you nee…

AI-agent Skill for generating polished HTML slide decks: editorial magazine and Swiss layouts, image prompts, social covers, and a WebGL/low-power presentation runtime.

Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.

Learn what AI writes, not just accept it. A Claude Code skill that turns AI-generated code into educational deep dives.

An action which adds reviewers to the pull request when the pull request is opened.

React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.

Automate a real browser from the terminal for navigation, form filling, snapshots, screenshots, extraction, and UI-flow debugging.

Repository analysis, pull request review, issue triage, and release workflow automation.