Enforce a spec-first SPEC to PLAN to EXECUTE to VERIFY to COMMIT protocol for software engineering tasks.
npx skills add https://github.com/BAIZ1D/macbookM1_rice --skill gsd-baiz1d
Please help me install this Agent Skill. Skill: gsd Source: https://github.com/BAIZ1D/macbookM1_rice/tree/main/agent/skills/gsd Command: npx skills add https://github.com/BAIZ1D/macbookM1_rice --skill gsd-baiz1d
This Skill addresses the inefficiency and inconsistent quality of unstructured "vibe coding" by enforcing a rigorous, spec-first methodology that ensures all software engineering work is well-planned, executable, and verifiable before any code is written.
.gsd/SPEC.md before implementation begins, eliminating scope creep and misalignment./ralph to accelerate repetitive tasks.Use the gsd skill to define a finalized spec and phased roadmap for your new user authentication feature before writing any implementation code.
High-intent search queries and answers about installing and using this skill.
To stop unstructured vibe coding, use a spec-first workflow that mandates finalized requirements before implementation. This approach enforces a structured SPEC, PLAN, EXECUTE, VERIFY, and COMMIT protocol, ensuring all software engineering tasks are well-planned and verifiable.
The best way to plan a phased roadmap for feature development is by defining a finalized spec first. This methodology breaks work into phased roadmaps and atomic commits, preventing scope creep and ensuring consistent, high-quality delivery.
To require empirical proof for code changes, implement a verification phase in your software engineering workflow. This mandates concrete proof like test runner output, API responses, or UI screenshots for every code change before committing.
Yes, you can automate repetitive tasks in a spec-first software engineering workflow. The structured execution pipeline supports autonomous execution loops to accelerate repetitive implementation tasks while maintaining spec adherence and verification.
A spec-first methodology works effectively for resolving critical bugs and launching greenfield projects. It applies structured planning and empirical verification to any software engineering task, ensuring consistent and auditable delivery.
LeeHusungConvert natural language requests into EARS-style requirements documents.
eng-vmessiahAutomate regression tests validating API response shapes and state integrity.
thanh-abaiiMerge pull requests, run CI/CD pipelines, and verify production health.
viethahongPlan sprints, roadmaps, and resources to deliver projects on time.