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 4 skills

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

Add more skills

Decision summary

Planning With Files is the strongest overall pick here because it has a 100/100 readiness score and fits Workflow automation.

Strongest overall

Planning With Files

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

Planning With Files

Best first install candidate based on install readiness and adoption.

Freshest repo

Airbyte

Most recent maintenance signal among this shortlist.

SignalUnilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Planning With Files

Persistent file-based planning for long-running agentic tasks. Crash-proof markdown plans, deterministic completion gate, multi-agent shared state on disk. Works with Claude Code, Codex CLI, Cursor, Hermes agent, Pi, Kiro, OpenCode and 60+ agents via the SKILL.md standard.

Awesome N8n Templates

280+ free n8n automation templates — ready-to-use workflows for Gmail, Telegram, Slack, Discord, WhatsApp, Google Drive, Notion, OpenAI, and more. AI agents, RAG chatbots, email automation, social media, DevOps, and document processing. The largest open-source n8n template collection.

Airbyte

Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.

Quality
100/100
Excellent
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
100/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Adoption22K stars
0 installs
23K stars
0 installs
23K stars
0 installs
21K stars
0 installs
FreshnessJan 23, 2026Jun 10, 2026Jun 1, 2026Jun 13, 2026
Use-case fit
Stack fit
Platform hintsPython, Document AI, Claude CodePython, AI Agents, Claude Code, OpenAI Agents, CursorAI Agents, Claude Code, OpenAI AgentsPython, Data Analysis, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo major risk signals from current metadataNo major risk signals from current metadataNo OpenAgentSkill engagement data yet
Best forWorkflow automation workflows · Claude Code teams · teams that value GitHub adoption signalsWorkflow automation workflows · Claude Code teams · teams that value GitHub adoption signalsWorkflow automation workflows · Claude Code teams · teams that value GitHub adoption signalsWorkflow automation workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement0 views
0 install copies
8 views
3 install copies
4 views
1 install copies
0 views
0 install copies
Install
$ npx skills add microsoft/unilm
$ npx skills add OthmanAdi/planning-with-files
$ npx skills add enescingoz/awesome-n8n-templates
$ npx skills add airbytehq/airbyte