Skill Review

Skill Review is a Quality 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 Review

Copy Skill Review 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-review ~/.claude/skills/skill-review

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-review/SKILL.md in techygarg/lattice
Installs to: ~/.claude/skills/skill-review
Collection: One of 25 skills cataloged from this repository
Category: Quality — 1745 skills

What Skill Review does

Skill Review audits a Lattice skill for realistic behavioral gaps by comparing three personas and merging only high-confidence findings. Use it after creating or changing a skill to find missing scenarios, silent failures, and inconsistencies.

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

Documentation

README

Excerpt

Skill Review

Core responsibility: Find real behavioral gaps in a Lattice skill by reviewing it through three independent personas. Each persona sees the skill with different eyes, cares about different things, and may surface different gaps. The combined findings should be more practical and complete than any single review.

Input: One skill path or skill name.

Output: A unified findings report — only the high-confidence, practical gaps from all three personas, merged, deduplicated, pruned, and ordered by severity — with proposed fixes.

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

Frequently asked about Skill Review

What else does techygarg publish alongside Skill Review?
Skill Review 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 Review 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 Review compare to other Quality skills?
Skill Review ranks #1651 by stars among the 1745 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. 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 Review against them. Open each page to compare what they document and how they install.