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GitHub Discovery Setup

This document tracks the repository-facing discovery setup for Intent Specification Layer. It is not a marketing plan; it records the concrete GitHub surfaces that help developers and AI-agent users find the project.

Repository Metadata

Repository:

https://github.com/philo-kim/intent-spec-layer

Description:

Spec layer for AI coding agents: turn intent into EARS requirements and verification obligations

Homepage:

https://philo-kim.github.io/intent-spec-layer/

Topics:

ai-agents
ai-assisted-coding
ai-coding
coding-agents
developer-tools
documentation
ears
llm
requirements
requirements-engineering
sdd
software-engineering
spec-driven-development
testing
verification
vibe-coding

Awesome List Candidates

Prioritize lists where the project is conceptually aligned, recently updated, and likely to accept developer-tool or workflow entries.

Priority Repository Fit Suggested section
1 filipecalegario/awesome-vibe-coding Strong fit for AI-assisted coding workflows and documentation for AI coding Documentation for AI Coding
2 ai-for-developers/awesome-ai-coding-tools Strong fit for AI coding tooling and testing/verification workflows Testing and QA or Documentation
3 eltociear/awesome-AI-driven-development Strong fit for AI-driven development workflows Development Workflows & Agents or Testing & Security
4 sorrycc/awesome-code-agents Good fit for code-agent process/tooling, but the list focuses more on agents and platforms Specialized Tools

Suggested entry text:

- **[Intent Specification Layer](https://github.com/philo-kim/intent-spec-layer)** – Repository-native spec layer for AI coding agents that turns product intent into EARS requirements, REQ/S statement IDs, and verification obligations so generated stubs are not mistaken for real tests.

Shorter variant:

- [Intent Specification Layer](https://github.com/philo-kim/intent-spec-layer) - Spec layer for AI coding agents that turns intent into EARS requirements and verification obligations.

PR Order

  1. Open one PR first, preferably to filipecalegario/awesome-vibe-coding.
  2. Wait for maintainer feedback before sending the same project to multiple awesome lists.
  3. Adjust wording based on feedback.
  4. Submit to ai-for-developers/awesome-ai-coding-tools.
  5. Submit to the remaining lists only after the README and Korean/English launch posts have public feedback.

This avoids looking like bulk self-promotion and gives maintainers a clearer reason to include the project.

Submitted PRs

Repository PR Status
filipecalegario/awesome-vibe-coding filipecalegario/awesome-vibe-coding#184 Opened