delightful-ai
Official@delightful-ai
Offers specialized Rust linting and embedded firmware lifecycle management through atomic code-smell tracking and STM32CubeIDE integration.
Agent Skills by delightful-ai
Showing 4 vetted skills indexed across 1 GitHub repositories.
atomic-bead-filing
Create executable beads from code smell observations with file and line references.
writing-rust-lints
Create custom Rust lints with Dylint for AST and type-checked analysis.
execute-epic
Automates claiming, completing, and closing a single bead from an epic using the STM32CubeIDE toolchain.
beads-jj-workflow
Manage code changes with jj commits tied to beads in beads-rs projects.
Frequently Asked Questions About delightful-ai
FAQPage SchemaWhat specific tasks can be performed using these capabilities?▼
These capabilities enable the creation of custom Rust lints for AST analysis, the generation of executable beads from code-smell observations, and the management of firmware development cycles by linking commits directly to STM32CubeIDE project tasks.
Which engineering personas benefit from these technical skills?▼
These skills are designed for embedded systems engineers, Rust developers, and technical leads focused on maintaining high code quality standards and rigorous project tracking within complex firmware environments.
What are the primary dependencies for implementing these project management practices?▼
Implementation requires the Dylint framework for custom linting, the Jujutsu version control system for commit management, and the STM32CubeIDE environment for handling embedded firmware compilation and deployment tasks.