Convert PLAN.md into a standardized SPEC.md with data contracts and validation rules.
npx skills add https://github.com/hoonzinope/skills --skill spec-writer-hoonzinope
Please help me install this Agent Skill. Skill: spec-writer Source: https://github.com/hoonzinope/skills/tree/main/spec-writer Command: npx skills add https://github.com/hoonzinope/skills --skill spec-writer-hoonzinope
Converts a planning document into a precise SPEC.md that captures inputs, outputs, data contracts, errors, and boundary conditions so engineering teams can implement with a clear contract.
Generate a SPEC.md from the existing plan in .documents/plan/PLAN.md.
High-intent search queries and answers about installing and using this skill.
To convert a project plan into a specification document, this Skill reads your PLAN.md and generates a SPEC.md that defines inputs, outputs, data models, validation rules, and edge cases for engineering teams.
A specification covering edge cases and data contracts must include explicit data models, validation rules, error handling, boundary conditions, and open questions to ensure developers and QA have a complete implementation contract.
You can generate a SPEC.md from a planning document by placing your PLAN.md inside the .documents/plan directory, which the Skill processes to produce a standardized specification with versioning and open questions.
Yes, you can define data models and validation rules automatically from a plan, as the Skill extracts your planning requirements and formalizes them into concrete data contracts and boundary case definitions.
You need a PLAN.md file located in the .documents/plan directory to create requirements and specifications for QA teams, serving as the input for generating the standardized SPEC.md output.
You should formalize a plan into a spec when engineering teams need explicit data contracts, validation rules, and boundary conditions to implement against, rather than relying on an informal planning document.
magdymohamed78Analyze spec.md, plan.md, and tasks.md for consistency and constitution adherence.
2lab-aiImplement code scenarios from trace.md until contract tests pass.
alo-expAnalyze SPEC.md acceptance criteria against PLAN.md tasks to surface coverage gaps.
LuohaothuConvert unstructured documents into validated JSON/CSV outputs with provenance tracking.
