spec-gate-build

Validates JSON specs before building structured artifacts in deterministic passes with verification.

5|2|Updated Jul 12, 2026
One-click install
npx skills add https://github.com/LongLeo287/seosona-flow --skill spec-gate-build-longleo287
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: spec-gate-build
Source: https://github.com/LongLeo287/seosona-flow/tree/main/.claude/skills/spec-gate-build
Command: npx skills add https://github.com/LongLeo287/seosona-flow --skill spec-gate-build-longleo287

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Building structured artifacts (workflows, node graphs, pages, multi-step generation pipelines) in one shot often produces results that drift from the intent and require costly rework. This Skill enforces a disciplined Spec → Gate → Build → Verify loop so every artifact is validated against a written contract before and after construction. ## Core Features & Use Cases - Spec-first authoring: Write a compact JSON spec with goals, constraints, and explicit out-of-scope items before any building begins. - Gate validation: Validate the spec (e.g., workflow catalog checks, prompt anchors, cost estimates) and refuse to build until it passes. - Deterministic multi-pass builds: Split construction into small idempotent passes where code handles structure and the model only decides content. - Verification loop: Diff each pass against the spec with cheap pre-filters first, spending model tokens only on judgment calls. - Use Case: When generating a 12-node image-generation workflow, author the node/edge spec, run the validator to zero errors, build each node group as a separate pass, then verify the rendered output matches the spec before declaring completion. ## Quick Start Ask the AI to build your workflow or page using the spec-gate-build pattern: write the JSON spec first, gate-validate it, build in deterministic passes, and verify against the spec.

Frequently Asked Questions about spec-gate-build

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

FAQPage Schema
How do I build AI workflows without one-shot errors?▼

Write a compact JSON spec first covering goal, constraints, and out-of-scope items, then validate it through a gate before building. Construct the artifact in small deterministic passes and verify each pass against the spec, looping back only the failing pass.

What is the spec-gate-build-verify pattern?▼

It is a four-step architecture pattern: author a JSON spec as the contract, gate-validate it before building, build in deterministic idempotent passes, then verify output against the spec with visual or LLM diffing. No step may be skipped.

When should I use deterministic code instead of the AI model?▼

Use deterministic code for anything measurable or structural, such as building pixels, validating schemas, checking blur or duplicate frames, and estimating cost. Reserve model tokens for content decisions and judgment calls that code cannot make.

Can I skip the gate step if my spec looks correct?▼

No. The pattern explicitly forbids building before the gate passes with zero errors. If the spec is incomplete, ask questions or record explicit assumptions, but never build on an unvalidated spec.

What happens when verification fails against the spec?▼

You return to the build step for the specific failing pass, or back to the spec if the root intent was wrong. Each pass is an independently verifiable unit, so only the failing pass is redone, not the whole artifact.