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Add engineering discipline to AI coding assistants across design, implementation, and review.
This skill appears to be prompt-only, open-source, and declares no secrets or remote endpoints, so the overall risk is low. No red flags are evident for data exfiltration, code execution, or excessive access, though the missing README limits audit depth.
The material explicitly states that no keys or environment variables are required; as a prompt-only skill, there is no evident path for token collection, storage, or abuse.
No remote endpoints are declared, and the objective check marks it as prompt-only; based on the provided facts, there is no sign of active networking or user data being sent to third parties.
As a skill marked prompt-only, the material does not indicate that it launches local processes, executes scripts, or requests additional system capabilities.
No file I/O, local data access, or external resource access is described; from the available material, there is no data permission request beyond the prompt content itself.
The source is an open-source GitHub repository under the MIT license, with moderate community signal (135 stars), which lowers supply-chain risk; however, the missing README and unknown maintenance status slightly limit audit visibility.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "lattice" yet — see the docs or source repo.
Using our team engineering standards, first produce a design plan, task breakdown, code constraints, and acceptance checklist before writing code for this feature: support email verification login during user registration.
A structured design and implementation plan first, followed by standards-compliant coding steps.
Review the following Python code for maintainability, test coverage, error handling, and team coding standards, then provide improvement suggestions and a refactored version.
A categorized review, concrete improvement suggestions, and a cleaner refactored code version.
Turn our development requirements into reusable AI collaboration rules covering requirement clarification, design review, coding steps, testing requirements, and pre-commit checks.
A reusable team-level AI development workflow and standards template.
Give AI coding agents design direction, UI code guidance, and critique.
Provide preset rules that standardize code quality and design for AI coding assistants.
Auto-detect tech stacks and generate consistent coding rules for AI assistants.
Compose personas, styles, and skills for AI coding agents.
Identify library version breakages for AI coding agents and suggest fixes.
Equip AI coding agents with production-ready engineering and delivery skills.