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Skill comparison

Compare agent skills before installing.

Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.

Comparing 1 skill

Use this as a shortlist, then open the skill detail page before adopting.

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Decision summary

Terragrunt Reference Architecture is the strongest overall pick here because it has a 42/100 readiness score and fits Coding agents.

Strongest overall

Terragrunt Reference Architecture

Do a manual repository review before adding this to an agent workflow.

Fastest prototype

Terragrunt Reference Architecture

Best first install candidate based on install readiness and adoption.

Freshest repo

Terragrunt Reference Architecture

Most recent maintenance signal among this shortlist.

SignalTerragrunt Reference Architecture

Terragrunt Reference Architecture (upd: May 2020)

Quality
52/100
Needs review
Decision verdict
42/100
Needs manual review

Do a manual repository review before adding this to an agent workflow.

Adoption380 stars
0 installs
FreshnessFeb 9, 2022
Use-case fit
Coding agentsRAG and knowledgeBrowser automation
Stack fit
Content growth agentCoding review agent
Platform hintsHCL, Terraform, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
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The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

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PrivacyBuilt for agent-native discovery
Best forCoding agents workflows · Claude Code teams · builders willing to evaluate younger projects
Not ideal forteams that require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add antonbabenko/terragrunt-reference-architecture