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awesome-human-distillation

Skill Development Usable

A curated catalog of human distillliation agent skills

584 starsFreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Human distillation agents compress expert knowledge into reusable skills, reducing training time and enabling junior engineers to execute complex tasks with senior-level consistency. Addresses capability scaling without proportional hiring.

Engineering teams standardizing knowledge transfer and onboarding processes for repetitive or high-risk development workflows.

Claude Code Claude Cowork Claude Chat

https://github.com/mliu98/awesome-human-distillation

By mliu98

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install mliu98/awesome-human-distillation

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars584Last updated2026-05-20Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-05-20 · scanner v1

Community Pulse Growing

Discussed on Reddit

9 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 584 GitHub stars; contributors unknown; last commit 0d ago; license no license.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
2/5
Versatility
4/5
Reliability
3/5
Security
3/5
Overall score2.90 / 5.00 UsableEvaluatedMay 2026
Scored from trust signals (evidence-eval-v1): 584 GitHub stars; contributors unknown; last commit 0d ago; license no license.

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