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specops

Compile Markdown specifications into machine-checkable JSON contracts.

4|Updated Dec 11, 2022
Search Tags:#markdown#specification#requirements#validation#json#contract-testing#artifact-planning
One-click install
npx skills add https://github.com/namuan/namuan --skill specops
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: specops
Source: https://github.com/namuan/namuan/tree/main/agents/skills/specops
Command: npx skills add https://github.com/namuan/namuan --skill specops

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Ambiguity in software requirements leads to wasted cycles and misaligned implementations. SpecOps provides a structured process to convert vague requests into a machine-checkable contract before coding.

Core Features & Use Cases

  • End-to-end Markdown-to-JSON spec compilation, ambiguity resolution, and artifact planning.
  • Create a compiled spec that can be validated against a schema.
  • Generate context-aware artifacts (tests, contracts) without writing production code until approved.
  • Use cases include clarifying features, producing failing contract tests, and planning artifacts for target repositories.

Quick Start

Provide a Markdown spec using the SpecOps template and trigger /specops to generate a compiled spec and a plan for context-aware artifacts.

Frequently Asked Questions about specops

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert vague markdown requirements into a validated JSON contract?▼

SpecOps compiles markdown specifications into machine-checkable JSON contracts by resolving ambiguity and validating against a schema. This ensures requirements are structurally sound before generating implementation artifacts.

What is the best way to resolve ambiguity in software specifications before coding?▼

Resolving specification ambiguity involves transforming natural language requests into a structured, machine-checkable contract. Using a markdown-to-JSON compilation workflow validates requirements against a schema and generates failing contract tests to enforce alignment.

Can I generate contract tests from a markdown specification without writing production code?▼

You can generate context-aware contract tests directly from a compiled markdown specification. This approval-driven process produces failing tests and planned artifacts for target repositories without writing production code until the spec is explicitly approved.

Does artifact planning for target repositories work with different tech stacks?▼

Artifact planning supports multiple tech stacks by using the compiled JSON specification to generate context-aware artifacts. The end-to-end workflow creates structured plans for tests and contracts that adapt to the target repository environment.

Why does natural language requirement validation fail without a compilable schema?▼

Natural language requirement validation fails without a compilable schema because vague requests cannot be programmatically checked for completeness or alignment. Transforming specifications into a JSON contract enables machine-checkable validation and prevents misaligned implementations.

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