Teaonly

Teaonly / SKILL.make

Public

Specification and Tools for Makefile-formatted Agent Skills.

78
3
100% credibility
Found May 02, 2026 at 54 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Shell
AI Summary

SKILL.make provides a structured format inspired by build recipes for defining AI agent skills, making them more efficient, ordered, and reusable.

How It Works

1
🕵️ Discover SKILL.make

You stumble upon this handy tool on a coding sharing site that promises to make your AI helper instructions shorter and smarter.

2
📖 Explore the idea

You read simple examples showing how everyday tasks like code checks become neat lists of steps that AI follows perfectly without guessing.

3
✨ See the magic

You notice how this recipe-style format saves space, ensures steps happen in order, and lets skills mix and match easily.

4
📁 Gather your skills

You collect your own sets of instructions for AI helpers that you already use for things like testing or reviewing work.

5
🔄 Transform with ease

You use a quick helper script to automatically rewrite your instructions into this compact, reliable new style.

6
🔌 Put to work

You drop the improved instructions into your AI setups, watching them run smoother and faster.

🎉 Reap the rewards

Your AI helpers now use less space, cost less to run, skip no steps, and feel more professional and trustworthy.

Sign up to see the full architecture

5 more

Sign Up Free

Star Growth

See how this repo grew from 54 to 78 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is SKILL.make?

SKILL.make defines a Makefile-style format for agent skills, turning vague prose in skill files into declarative targets, dependencies, and recipes using Shell syntax. It solves the chaos of LLM-guessing workflows by enforcing a DAG for execution order, with support for variables, shell commands, tool calls, reasoning prompts, and conditionals. Developers get a token-efficient spec—up to 30% smaller context windows—that's compatible with agent harnesses and acts as a skill maker for structured AI tasks.

Why is it gaining traction?

Unlike prose-heavy SKILL.md files, it auto-resolves dependencies like a build system, ensuring agents never skip steps, while slashing file sizes by 15% on average (proven on real skill collections). Composability shines: mix targets across files for modular workflows, plus audit trails for git-tracked evolution. It's a fresh take on specification driven development, echoing patterns from OpenAPI or OpenTelemetry specs but tailored for agent skills.

Who should use this?

AI engineers crafting agent workflows for code reviews, git triage, or TDD cycles will love the enforced structure. Backend devs building composable skills for Claude or Anthropic harnesses, or those experimenting with specification pattern tools like ardalis specification on GitHub, get reliable ordering without LLM hallucinations. It's ideal for teams needing requirements specification tools that double as a skill maker claude integration.

Verdict

Proof-of-concept with just 43 stars and 1.0% credibility score—docs are solid but lacks tests or broad adoption, so prototype it for your agent setup before committing. Worth watching for specification kit fans pushing computer aided specification tools forward.

(178 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.