Skill comparison
Compare agent skills before installing.
Comparing 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Deer Flow is the strongest overall pick here because it has a 100/100 readiness score and fits Research 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
Agent Orchestrator
Most recent maintenance signal among this shortlist.
| Signal | Helmor Open-source local workbench for multi-agent software development. | Herdr agent multiplexer that lives in your terminal. | Agent Orchestrator Agentic orchestrator for parallel coding agents — plans tasks, spawns agents, and autonomously handles CI fixes, merge conflicts, and code reviews. | 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. |
|---|---|---|---|---|
| Quality | 96/100 Excellent | 97/100 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. |
| Adoption | 1.2K stars Verified outcomes are shown on each skill page | 18K stars Verified outcomes are shown on each skill page | 9.1K stars Verified outcomes are shown on each skill page | 71K stars Verified outcomes are shown on each skill page |
| Freshness | Jun 14, 2026 | Jul 19, 2026 | Aug 10, 2026 | Jun 14, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | TypeScript, Multi-Agent, Claude Code, OpenAI Agents | Rust, AI Agents, Claude Code, OpenAI Agents | TypeScript, Multi-Agent, Claude Code, OpenAI Agents | Python, Multi-Agent, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | Research agents workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add dohooo/helmor | $ npx skills add ogulcancelik/herdr | $ npx skills add AgentWrapper/agent-orchestrator | $ npx skills add bytedance/deer-flow |