agent-swarm-issue
Agent skill for swarm-issue - invoke with $agent-swarm-issue
Install with Tessl CLI
npx tessl i github:ruvnet/claude-flow --skill agent-swarm-issue45
Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillEvaluation — 97%
↑ 2.93xAgent success when using this skill
Validation for skill structure
Evaluation results
100%
47%GitHub Swarm Automation Infrastructure
Issue swarm infrastructure setup
Workflow issue triggers
70%
100%
Swarm-ready conditional
20%
100%
Template topology dropdown
100%
100%
All four topology options
70%
100%
Required agents field
25%
100%
Task breakdown field
28%
100%
Label rules array structure
70%
100%
Bug keyword mapping
60%
100%
Feature keyword mapping
60%
100%
Performance keyword mapping
50%
100%
Agent type assignments
0%
100%
Without context: $0.9869 · 3m 47s · 29 turns · 729 in / 8,829 out tokens
With context: $0.6585 · 2m 4s · 26 turns · 284 in / 7,257 out tokens
100%
72%Issue Lifecycle Automation Scripts
Issue decomposition and progress tracking
Decompose command used
0%
100%
max-subtasks flag
0%
100%
assign-priorities flag
0%
100%
Checkbox format
100%
100%
High-priority child issues
100%
100%
Parent issue back-reference
100%
100%
Subtask label
0%
100%
update-checklist command
0%
100%
Progress comment header
0%
100%
Emoji task sections
0%
100%
Automated update footer
0%
100%
Completion label swap
30%
100%
Without context: $0.4954 · 2m 8s · 29 turns · 34 in / 7,282 out tokens
With context: $0.4319 · 1m 26s · 20 turns · 434 in / 4,412 out tokens
92%
72%Swarm Coordination Hook Implementation
Multi-agent swarm initialization and memory
swarm_init call
50%
100%
Bug uses hierarchical
0%
100%
Feature uses mesh
0%
100%
Docs uses ring
0%
100%
Bug agent roster
50%
100%
Feature agent roster
50%
0%
Docs agent roster
50%
100%
memory_usage store context
50%
100%
Memory key format
0%
100%
task_orchestrate call
0%
100%
adaptive strategy
0%
100%
Completion metrics stored
0%
100%
Without context: $1.6021 · 6m 35s · 62 turns · 58 in / 16,601 out tokens
With context: $0.2638 · 1m · 11 turns · 171 in / 3,418 out tokens
- Evaluated
- Agent
- Claude Code
- Model
- Unknown
Table of Contents
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