Individual skill

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.

agent-army/SKILL.md

Read pinned source

Source commit b2267d9171af4f56848d82992381b20b89b44056

What was checked

Matches the observed repository HEAD: Yes
Scanner rules are current: Yes
Repository scan complete: No
Skill scan complete: No
Observed behavior: Instructions only
Last checked: Nov 10, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings): 422
Repository last updated: Oct 20, 2026
License: MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

agent-skills Repository topic
ai-agents Repository topic
anthropic Repository topic
claude Repository topic
claude-code Repository topic
claude-skills Repository topic
developer-tools Repository topic
llm Repository topic
prompt-engineering Repository topic
sales-automation Repository topic
engineering Derived category

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files

SKILL.mdcore · 15,895 bytes

Read excerpt


# Agent Army

A 2-layer parallel execution framework. The Commander is the top-tier model — Fable by default, or Opus if that's the session model — and does the thinking: recon, composition, briefing, verification. It orchestrates swarms of subordinate models whose tiers the user picks at deploy time (see Power Level). Each Layer 1 agent has its own full context window (not a slice). Each spawns Layer 2 sub-agents under it. The result is many independent brains running at once — not one brain divided.

```
Commander (you — Fable or Opus, the session model)
 |
 |-- Layer 1: Team (3 to 50+, each = own 1M context, L1 tier from power level)
 |    |-- Agent A (1M) -- Sub-agent A1, A2, ...  (L2 tier)
 |    |-- Agent B (1M) -- Sub-agent B1, B2, ...  (L2 tier)
 |    |-- Agent C (1M) -- Sub-agent C1, C2, ...  (L2 tier)
 |    |-- ... (no cap)
```