Skill comparison
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Strongest overall
agent-army
Prototype with this skill first; keep a fallback candidate ready.
Fastest prototype
agent-army
Best first install candidate based on install readiness and adoption.
Freshest repo
agent-army
Most recent maintenance signal among this shortlist.
| Signal | agent-army Deploy a 2-layer parallel agent hierarchy for large, parallelizable work — big refactors, multi-file migrations, codebase-wide audits, bulk generation. A top-tier commander (Fable or Opus) orchestrates the swarms; the user picks a power level (Max Power / Heavy / Balanced / Economy) that sets the Opus/Sonnet/Haiku model mix per layer. Layer 1 is 3-50+ specialist agents, each with its own full context window; Layer 2 is 2+ sub-agents per member. Includes git safety, tiered sizing, a pre-deploy gate, phantom-completion checks, and multi-wave follow-up. |
|---|---|
| Quality | 71/100 Strong |
| Decision verdict | 70/100 Prototype first Prototype with this skill first; keep a fallback candidate ready. |
| Adoption | 283 stars Verified outcomes are shown on each skill page |
| Freshness | Aug 11, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Claude Code |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for | GitHub automation workflows · Claude Code teams · builders willing to evaluate younger projects |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add OneWave-AI/claude-skills --skill agent-army |