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

Deer Flow is the strongest overall pick here because it has a 100/100 readiness score and fits Coding agents.

Strongest overall

Deer Flow

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

Fastest prototype

Deer Flow

Best first install candidate based on install readiness and adoption.

Freshest repo

Alook

Most recent maintenance signal among this shortlist.

SignalAlook

The collaboration layer for your AI workforce. Run a team of AI agents that coordinate over email, share memory, and get better with every task.

Deer Flow

An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.

Adk Python

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Agency Agents Zh

🎭 211 个即插即用的 AI 专家角色 — 支持 Hermes Agent/Claude Code/Cursor/Copilot 等 16 种工具,覆盖工程/设计/营销/金融等 18 个部门。含 46 个中国市场原创智能体(小红书/抖音/微信/飞书/钉钉等)

Quality
84/100
Strong
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
95/100
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.

Adoption518 stars
0 installs
71K stars
0 installs
20K stars
0 installs
15K stars
0 installs
FreshnessJul 2, 2026Jun 14, 2026Jun 13, 2026Jun 12, 2026
Use-case fit
Stack fit
Platform hintsTypeScript, Multi-Agent, Claude CodePython, Multi-Agent, Claude CodePython, Multi-Agent, Claude CodeShell, Multi-Agent, Claude Code, Cursor
WarningsNo OpenAgentSkill engagement data yetNo major risk signals from current metadataNo OpenAgentSkill engagement data yetNo major risk signals from current metadata
Best forWorkflow automation workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents 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
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1 install copies
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Install
$ npx skills add alookai/alook
$ npx skills add bytedance/deer-flow
$ npx skills add google/adk-python
$ npx skills add jnMetaCode/agency-agents-zh