Skill Enhance

Skill Enhance is an AI Engineering skill for Claude Code, published by techygarg in lattice.

185 stars13 forkson techygarg/latticeAdded 2026/09/06+1% in starsRepository updated 2026/09/04

agentagent-frameworkagent-skillsagenticagentic-aiclaude-code-pluginclaude-skillsclean-architecturecodexcodex-plugincodex-skillscontext-engineeringcursor-plugindddengineering-enablementgorkkimikimi-codelatticesdlc-workflow

Install in seconds

Install Skill Enhance

Copy Skill Enhance into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/techygarg/lattice/tree/main/dev-skills/skill-enhance ~/.claude/skills/skill-enhance

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/techygarg/lattice.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: dev-skills/skill-enhance/SKILL.md in techygarg/lattice
Installs to: ~/.claude/skills/skill-enhance
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 3278 skills

What Skill Enhance does

Skill Enhance rewrites an existing Lattice skill to modern-capable-model grade with grammar fixes, deduplication, behavior preservation checks, QA, and independent verification. Use it when you want to upgrade or modernize a skill end to end.

Skill Enhance is cataloged under AI Engineering on DirSkills. Skill Enhance comes from a repository tagged agent, agent-framework, agent-skills, agentic and agentic-ai.

Documentation

README

Excerpt

Skill Enhance

Core responsibility: Take one existing Lattice skill from current state to modern-capable-model grade through a fixed pipeline: baseline → dependency map (background agent) → precision rewrite with guaranteed behavior preservation → combined three-skill QA → independent verification. The skill being enhanced must end up smaller-or-equal in redundancy, fully grammatical, convention-complete, and provably non-regressive. Organizing objective: deterministic execution — every sentence has exactly one reading, every reachable state exactly one action, every cross-file reference literally true. Acceptance test: two different capable models reading any sentence would act identically on it.

Input: One skill path or name (any tier). Molecules are the primary case.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Skill Enhance

What else does techygarg publish alongside Skill Enhance?
Skill Enhance is one of 25 skills that DirSkills catalogs from techygarg/lattice, the repository it ships in. Its siblings there include Architecture, Architecture Compass and Architecture Refiner. Each one is a separate skill with its own page in this directory, installs the same way Skill Enhance does, and is maintained by techygarg in that same repository. The rest of the collection is listed on the techygarg/lattice page.
How does Skill Enhance compare to other AI Engineering skills?
Skill Enhance ranks #3024 by stars among the 3278 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Skill Enhance against them. Open each page to compare what they document and how they install.