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 Coding agents.

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

Evo

Most recent maintenance signal among this shortlist.

SignalNanoResearch

🦞+🔬 NanoResearch: The Autonomous AI Research Assistant

Planning With Files

Persistent file-based planning for AI coding agents and long-running agentic tasks. Crash-proof markdown plans that survive context loss and /clear, plus a deterministic completion gate and multi-agent shared state on disk. Manus-style. Works with Claude Code, Codex CLI, Cursor, Kiro, OpenCode and 60+ agents via the SKILL.md standard.

Awesome AITools

Collection of AI-related utilities. Welcome to submit pull requests /收藏AI相关的实用工具,欢迎提交pull requests

Evo

turns your codebase into an autoresearch loop — discovers what to measure, instruments the benchmark, then runs tree search with parallel subagents.

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.

Adoption1.5K stars
0 installs
23K stars
0 installs
6.0K stars
0 installs
1.2K stars
0 installs
FreshnessMay 26, 2026Jun 13, 2026Jun 13, 2026Jun 18, 2026
Use-case fit
Stack fit
Platform hintsPython, AI Agents, Claude CodePython, AI Agents, Claude Code, OpenAI Agents, CursorPython, AI Agents, Claude Code, OpenAI AgentsPython, AI Agents, Claude Code, OpenAI Agents
WarningsNo major risk signals from current metadataNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsGitHub automation 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 engagement1 views
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Install
$ npx skills add OpenRaiser/NanoResearch
$ npx skills add OthmanAdi/planning-with-files
$ npx skills add ikaijua/Awesome-AITools
$ npx skills add evo-hq/evo