gadaalabs/claude-code-on-steroids/legion
Claude Code and agent skill by gadaalabs/claude-code-on-steroids
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Checking that the SKILL.md file is still in the repository.
Select optimal subagent topology (hierarchical, mesh, ring, star) based on task structure; adds Ruflo-style swarm intelligence to Superpowers
Install
npx vskill@latest install gadaalabs/claude-code-on-steroids/legionSKILL.md
Swarm Coordination
Overview
LEGION — A legion is a large, coordinated force organized into precise, independent units. When invoked: selects the optimal agent topology for the task — parallel (independent tasks), pipeline (sequential stages), hierarchical (orchestrator + specialists), or mesh (peer review) — and coordinates execution across all agents.
Core principle: Match agent topology to task structure — the right coordination pattern prevents chaos and maximizes parallelism.
Announce at start: "Running LEGION to select agent topology and coordinate."
Topology Selection
Independent tasks, no coordination needed → STAR (see patterns/star.md) Sequential stages, each transforms previous output → RING (see patterns/ring.md) Exploration, multiple hypotheses, no clear structure → MESH (see patterns/mesh.md) Plan execution, coordinator + specialists → HIERARCHICAL (see patterns/hierarchical.md)
Load the matching pattern file for full prompt templates and examples.
Quick Reference
| Topology | Parallelism | Best For | |
|---|---|---|---|
| Hierarchical | Moderate | Plan execution, structured tasks | |
| Mesh | High | Exploration, research, bug investigation | |
| Ring | Low (sequential) | Data pipelines, multi-stage transforms | |
| Star | Very High | Independent parallel work, batch processing |
Swarm Size Guidelines
| Task Complexity | Swarm Size | Topology | |
|---|---|---|---|
| Single file edit | 1 agent | N/A (no swarm) | |
| 2-5 files | 2-3 agents | Hierarchical | |
| 5-10 files | 3-5 agents | Hierarchical or Star | |
| Multi-module | 5-7 agents | Hierarchical-Mesh | |
| System-wide | 7-15 agents | Adaptive with phases |
10 agents: coordination overhead exceeds parallelism benefit. >15 agents: decompose into separate projects.
Hybrid: Hierarchical-Mesh (Adaptive)
Complex projects with both exploration and execution:
Consensus for Disagreement Resolution
Majority: 3 agents agree A, 2 agree B → proceed with A, document dissent. Weighted: Security decision → security-architect vote 3x weight. Byzantine: f < n/3 faulty agents. With 4 agents: tolerate 1 faulty opinion. If no majority → escalate to human.
Swarm Auto-Triggering
Auto-trigger when ALL of:
- Task touches 3+ independent files
- No sequential dependency between changes
- Total estimated work > 20 minutes single-threaded
Auto-trigger announcement:
Do NOT auto-trigger for: bug fixes (investigate first), tasks < 3 files, shared state changes.
Integration with Existing Skills
| Skill | Integration | |
|---|---|---|
phantom | Hierarchical topology by default | |
architect | Mesh topology for exploration phase | |
hunter | Mesh topology for multi-angle investigation | |
blueprint | Plan should specify recommended topology | |
tribunal | Star topology for parallel file review |
Red Flags
Never:
- Use Ring when tasks are independent (waste of parallelism)
- Use Mesh for implementation (no coordination = chaos)
- Use Hierarchical for exploration (coordinator bottlenecks creativity)
- Use Star when subtasks have dependencies (integration fails)
- Deploy >10 agents without clear coordination plan
Final Rule
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/legion/SKILL.md
Popularity
- Repository stars
- 67
- Repository forks
- 10
- 7-day trend score
- 21
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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