Collaborative Judgment

Collaborative Judgment 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

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Install in seconds

Install Collaborative Judgment

Copy Collaborative Judgment 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/skills/collaborative-judgment ~/.claude/skills/collaborative-judgment

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: skills/collaborative-judgment/SKILL.md in techygarg/lattice
Installs to: ~/.claude/skills/collaborative-judgment
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 3278 skills

What Collaborative Judgment does

Collaborative Judgment defines when an AI should decide, when it should ask, and how to present genuine tradeoffs during code generation, design, and review. It is used when facts are missing, sources conflict, or multiple grounded approaches remain.

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

Documentation

README

Excerpt

Collaborative Judgment

When to Decide vs When to Ask

Most decisions are NOT ambiguous. The AI decides on its own when:

The rule is clear. An 80-line function doing 5 things violates SRP. A domain entity importing the database breaks the dependency rule. Fix it.
The project has a documented preference. The knowledge base, refiner docs, or context anchor specify the choice -- follow it. That is not ambiguity; it is documented intent.
The impact is low. Variable naming, import order, test data -- choose and move on.
Grounding is solid. You can point to a source: user instruction, inspected code/artifact, failing test/log, knowledge base, refiner doc, context anchor. Never take a repo-specific fact from memory alone.

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

Frequently asked about Collaborative Judgment

What else does techygarg publish alongside Collaborative Judgment?
Collaborative Judgment 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 Collaborative Judgment does, and is maintained by techygarg in that same repository. The rest of the collection is listed on the techygarg/lattice page.
How does Collaborative Judgment compare to other AI Engineering skills?
Collaborative Judgment ranks #3007 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 Collaborative Judgment against them. Open each page to compare what they document and how they install.