Fredo AI
Official@FredoAi · Mexico
Fredo AI provides skills for Chakra UI v3 component engineering, Three.js 3D graphics, E2E testing, and telemetry-driven pipeline operations.
Agent Skills by Fredo AI
Showing 11 vetted skills indexed across 1 GitHub repositories.
spec-test-gen
Generates visual acceptance criteria from EARS requirements when specs lack an AC section.
chakra-ui-migrate
Migrates Chakra UI projects from v2 to v3 with codemods and manual rewrites.
fredo-cli-events
Injects mock agent events through the Fredo IPC socket for e2e UI testing.
dev-environment
Manages dev instance lifecycle and E2E testing for a Tauri desktop app.
pipeline-state
Drives a GitHub issue pipeline state machine via a single rust-script CLI.
chakra-ui-builder
Build responsive, accessible UI components and themes using Chakra UI v3.
telemetry-query
Query Fredo's telemetry SQLite database for spans, metrics, and logs via sqlite3.
retro-analysis
Computes guardrail effectiveness and detects recurring failure patterns from pipeline event logs.
chakra-ui-refactor
Reviews and converts UI code to idiomatic Chakra UI v3 components.
frontend-design
Creates distinctive Chakra UI v3 interfaces using Fredo's theme-aware semantic tokens.
threejs
Create interactive 3D scenes, animations, and WebGL visualizations using Three.js.
Frequently Asked Questions About Fredo AI
FAQPage SchemaWhat tasks can I accomplish using Fredo AI's skills?▼
You can build and refactor Chakra UI v3 interfaces, migrate v2 projects to v3, create Three.js 3D scenes and WebGL visualizations, generate EARS-based acceptance criteria, inject mock events for E2E testing, and query telemetry spans from fredo.db via sqlite3.
Who are Fredo AI's skills designed for?▼
The skills target frontend developers and UI/UX engineers working with Chakra UI v3 and Three.js, plus QA engineers and orchestrator roles (Self-Improver, UI/UX Architect) running E2E verification, retrospectives, and pipeline state management.
How do the testing and QA skills work in practice?▼
The spec-test-gen skill generates testable acceptance criteria from EARS requirements when a spec lacks an AC section, while fredo-cli-events injects mock events through the IPC socket to trigger specific UI states during end-to-end verification runs.
What prerequisites or dependencies do these skills require?▼
Chakra UI skills require a project using or migrating to Chakra UI v3 (with Next.js support). Telemetry queries need sqlite3 CLI access to fredo.db, event injection needs the Fredo IPC socket, and pipeline-state requires running pipeline-state.rs first.
How does Fredo AI handle Chakra UI v2 to v3 migration?▼
The chakra-ui-migrate skill covers package changes, codemods, provider setup, color mode, prop renaming, compound components, theming, recipes, and Next.js updates, addressing breaking changes like ColorModeScript, useColorModeValue, extendTheme, and framer-motion dependencies.