Verify implementation specs are complete and actionable before AI coding begins.
npx skills add https://github.com/Pyl-Tech/stream-coding --skill spec-gate
Please help me install this Agent Skill. Skill: spec-gate Source: https://github.com/Pyl-Tech/stream-coding/tree/main/.agents/skills/spec-gate Command: npx skills add https://github.com/Pyl-Tech/stream-coding --skill spec-gate
The Spec Gate prevents AI from starting implementation on incomplete or inconsistent documentation by forcing specs to meet deterministic and structural requirements first.
Use this when you are about to start the BUILD stage for any implementation spec and want a hard readiness signal that the documentation is AI-executable.
Run the Spec Gate pre-check for your spec file and use the JSON report to fix any structural failures before asking the AI to build.
High-intent search queries and answers about installing and using this skill.
To verify spec readiness, run a deterministic pre-check script to validate required sections, test matrices, and deep links, then enforce a gating checklist to ensure the spec is actionable and ambiguity-free before AI coding begins.
Documentation-first spec verification is a process that enforces structural completeness and internal consistency on implementation specs, preventing AI coding agents from starting builds with fabricated assumptions or incomplete requirements.
You can check DDL parity and contract coverage by running spec verification hooks during the BUILD transition, ensuring the documented architecture matches structural constraints and avoiding code that violates the contract.
Yes, spec verification runs entirely without external dependencies by executing a standalone deterministic pre-check script that produces a JSON baseline report to identify structural failures in your spec file.
AI coding agents fabricate assumptions when implementation specs lack prompt readiness or contain ambiguities; applying a hard spec readiness gate enforces document architecture and test error matrices to prevent silent guessing.
The best way to prepare a spec file is to run a structural pre-check to validate required sections and deep-link formatting, then resolve any JSON baseline failures to achieve a hard readiness signal for AI execution.
SilentFlowerDocument executable contracts and design decisions into .trellis/spec files.
fernando-bertholdoExtract user intent and generate a ready-to-paste prompt for a target AI tool.
nanorepublicaValidate code against centralized global tech stack standards.
brainbrewlabsReview implementation plans for completeness, feasibility, and quality.
