This is meta-tooling for building AI agent skills with token efficiency as the first principle. It enforces a three-level loading system where you front-load critical info, defer details to references folders, and design for context windows between 4k and 32k tokens. The approach is opinionated: imperative compression, progressive disclosure, lazy references. If you're writing skills that agents keep running out of context on, or you're annoyed at verbose prompt engineering practices, this gives you a strict framework. It's marked P0 critical, which feels a bit self-important for what's essentially a set of authoring guidelines, but the token economy angle is legitimately useful if you're shipping skills at scale.

GitHub stars
538
last updated
Aug 21, 2026

Install

$ npx -y skills add hoangnguyen0403/agent-skills-standard --skill 'Skill Creator' --agent claude-code

Installs into .claude/skills of the current project.

Files

Repository Skill Maintenance Standard

Priority: P1 (HIGH)

Project-local maintenance procedures for contributing to agent-skills-standard.

Generic Skill Authoring: Follow the canonical common-skill-creator standard; this local skill covers repository maintenance only.

Repository Contribution Workflow

Sponsors

Details

Repository
github.com/hoangnguyen0403/agent-skills-standard
Category
AI & Agent Building
License
Apache-2.0
First seen
Jun 3, 2026

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