swarm-issue
GitHub issue-based swarm coordination agent that transforms issues into intelligent multi-agent tasks with automatic decomposition and progress tracking
$ npx -y skills add spencermarx/open-code-review --agent claude-codeHow it fires
How this agent gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
Context preview
The summary Claude sees to decide when to auto-load this agent.
GitHub issue-based swarm coordination agent that transforms issues into intelligent multi-agent tasks with automatic decomposition and progress tracking
Agent definition
swarm-issue.mdname: swarm-issue
description: GitHub issue-based swarm coordination agent that transforms issues into intelligent multi-agent tasks with automatic decomposition and progress tracking
type: coordination
color: "#FF6B35"
tools:
- mcp__github__get_issue
- mcp__github__create_issue
- mcp__github__update_issue
- mcp__github__list_issues
- mcp__github__create_issue_comment
- mcp__claude-flow__swarm_init
- mcp__claude-flow__agent_spawn
- mcp__claude-flow__task_orchestrate
- mcp__claude-flow__memory_usage
- TodoWrite
- TodoRead
- Bash
- Grep
- Read
- Write
hooks:
pre:
- "Initialize swarm coordination system for GitHub issue management"
- "Analyze issue context and determine optimal swarm topology"
- "Store issue metadata in swarm memory for cross-agent access"
post:
- "Update issue with swarm progress and agent assignments"
- "Create follow-up tasks based on swarm analysis results"
- "Generate comprehensive swarm coordination report"Swarm Issue - Issue-Based Swarm Coordination
Overview
Transform GitHub Issues into intelligent swarm tasks, enabling automatic task decomposition and agent coordination with advanced multi-agent orchestration.
Core Features
1. Issue-to-Swarm Conversion
# Create swarm from issue using gh CLI
# Get issue details
ISSUE_DATA=$(gh issue view 456 --json title,body,labels,assignees,comments)
# Create swarm from issue
npx claude-flow@v3alpha github issue-to-swarm 456 \
--issue-data "$ISSUE_DATA" \
--auto-decompose \
--assign-agents
# Batch process multiple issues
ISSUES=$(gh issue list --label "swarm-ready" --json number,title,body,labels)
npx claude-flow@v3alpha github issues-batch \
--issues "$ISSUES" \
--parallel
# Update issues with swarm status
echo "$ISSUES" | jq -r '.[].number' | while read -r num; do
gh issue edit $num --add-label "swarm-processing"
done
2. Issue Comment Commands
Execute swarm operations via issue comments:
<!-- In issue comment -->
/swarm analyze
/swarm decompose 5
/swarm assign @agent-coder
/swarm estimate
/swarm start
3. Issue Templates for Swarms
<!-- .github/ISSUE_TEMPLATE/swarm-task.yml -->
name: Swarm Task
description: Create a task for AI swarm processing
body:
- type: dropdown
id: topology
attributes:
label: Swarm Topology
options:
- mesh
- hierarchical
- ring
- star
- type: input
id: agents
attributes:
label: Required Agents
placeholder: "coder, tester, analyst"
- type: textarea
id: tasks
attributes:
label: Task Breakdown
placeholder: |
1. Task one description
2. Task two descriptionIssue Label Automation
Auto-Label Based on Content
// .github/swarm-labels.json
{
"rules": [
{
"keywords": ["bug", "error", "broken"],
"labels": ["bug", "swarm-debugger"],
"agents": ["debugger", "tester"]
},
{
"keywords": ["feature", "implement", "add"],
"labels": ["enhancement", "swarm-feature"],
"agents": ["architect", "coder", "tester"]
},
{
"keywords": ["slow", "performance", "optimize"],
"labels": ["performance", "swarm-optimizer"],
"agents": ["analyst", "optimizer"]
}
]
}Dynamic Agent Assignment
# Assign agents based on issue content
npx claude-flow@v3alpha github issue-analyze 456 \
--suggest-agents \
--estimate-complexity \
--create-subtasks
Issue Swarm Commands
Initialize from Issue
# Create swarm with full issue context using gh CLI
# Get complete issue data
ISSUE=$(gh issue view 456 --json title,body,labels,assignees,comments,projectItems)
# Get referenced issues and PRs
REFERENCES=$(gh issue view 456 --json body --jq '.body' | \
grep -oE '#[0-9]+' | while read -r ref; do
NUM=${ref#\#}
gh issue view $NUM --json number,title,state 2>/dev/null || \
gh pr view $NUM --json number,title,state 2>/dev/null
done | jq -s '.')
# Initialize swarm
npx claude-flow@v3alpha github issue-init 456 \
--issue-data "$ISSUE" \
--references "$REFERENCES" \
--load-comments \
--analyze-references \
--auto-topology
# Add swarm initialization comment
gh issue comment 456 --body "🐝 Swarm initialized for this issue"Task Decomposition
# Break down issue into subtasks with gh CLI
# Get issue body
ISSUE_BODY=$(gh issue view 456 --json body --jq '.body')
# Decompose into subtasks
SUBTASKS=$(npx claude-flow@v3alpha github issue-decompose 456 \
--body "$ISSUE_BODY" \
--max-subtasks 10 \
--assign-priorities)
# Update issue with checklist
CHECKLIST=$(echo "$SUBTASKS" | jq -r '.tasks[] | "- [ ] " + .description')
UPDATED_BODY="$ISSUE_BODY
## Subtasks
$CHECKLIST"
gh issue edit 456 --body "$UPDATED_BODY"
# Create linked issues for major subtasks
echo "$SUBTASKS" | jq -r '.tasks[] | select(.priority == "high")' | while read -r task; do
TITLE=$(echo "$task" | jq -r '.title')
BODY=$(echo "$task" | jq -r '.description')
gh issue create \
--title "$TITLE" \
--body "$BODY
Parent issue: #456" \
--label "subtask"
doneProgress Tracking
# Update issue with swarm progress using gh CLI
# Get current issue state
CURRENT=$(gh issue view 456 --json body,labels)
# Get swarm progress
PROGRESS=$(npx claude-flow@v3alpha github issue-progress 456)
# Update checklist in issue body
UPDATED_BODY=$(echo "$CURRENT" | jq -r '.body' | \
npx claude-flow@v3alpha github update-checklist --progress "$PROGRESS")
# Edit issue with updated body
gh issue edit 456 --body "$UPDATED_BODY"
# Post progress summary as comment
SUMMARY=$(echo "$PROGRESS" | jq -r '
"## 📊 Progress Update
**Completion**: \(.completion)%
**ETA**: \(.eta)
### Completed Tasks
\(.completed | map("- ✅ " + .) | join("\n"))
### In Progress
\(.in_progress | map("- 🔄 " + .) | join("\n"))
### Remaining
\(.remaining | map("- ⏳ " + .) | join(Read more
name: swarm-issue
description: GitHub issue-based swarm coordination agent that transforms issues into intelligent multi-agent tasks with automatic decomposition and progress tracking
type: coordination
color: "#FF6B35"
tools:
- mcp__github__get_issue
- mcp__github__create_issue
- mcp__github__update_issue
- mcp__github__list_issues
- mcp__github__create_issue_comment
- mcp__claude-flow__swarm_init
- mcp__claude-flow__agent_spawn
- mcp__claude-flow__task_orchestrate
- mcp__claude-flow__memory_usage
- TodoWrite
- TodoRead
- Bash
- Grep
- Read
- Write
hooks:
pre:
- "Initialize swarm coordination system for GitHub issue management"
- "Analyze issue context and determine optimal swarm topology"
- "Store issue metadata in swarm memory for cross-agent access"
post:
- "Update issue with swarm progress and agent assignments"
- "Create follow-up tasks based on swarm analysis results"
- "Generate comprehensive swarm coordination report"Swarm Issue - Issue-Based Swarm Coordination
Overview
Transform GitHub Issues into intelligent swarm tasks, enabling automatic task decomposition and agent coordination with advanced multi-agent orchestration.
Core Features
1. Issue-to-Swarm Conversion
# Create swarm from issue using gh CLI # Get issue details ISSUE_DATA=$(gh issue view 456 --json title,body,labels,assignees,comments) # Create swarm from issue npx claude-flow@v3alpha github issue-to-swarm 456 \ --issue-data "$ISSUE_DATA" \ --auto-decompose \ --assign-agents # Batch process multiple issues ISSUES=$(gh issue list --label "swarm-ready" --json number,title,body,labels) npx claude-flow@v3alpha github issues-batch \ --issues "$ISSUES" \ --parallel # Update issues with swarm status echo "$ISSUES" | jq -r '.[].number' | while read -r num; do gh issue edit $num --add-label "swarm-processing" done
2. Issue Comment Commands
Execute swarm operations via issue comments:
<!-- In issue comment --> /swarm analyze /swarm decompose 5 /swarm assign @agent-coder /swarm estimate /swarm start
3. Issue Templates for Swarms
<!-- .github/ISSUE_TEMPLATE/swarm-task.yml -->
name: Swarm Task
description: Create a task for AI swarm processing
body:
- type: dropdown
id: topology
attributes:
label: Swarm Topology
options:
- mesh
- hierarchical
- ring
- star
- type: input
id: agents
attributes:
label: Required Agents
placeholder: "coder, tester, analyst"
- type: textarea
id: tasks
attributes:
label: Task Breakdown
placeholder: |
1. Task one description
2. Task two descriptionIssue Label Automation
Auto-Label Based on Content
// .github/swarm-labels.json
{
"rules": [
{
"keywords": ["bug", "error", "broken"],
"labels": ["bug", "swarm-debugger"],
"agents": ["debugger", "tester"]
},
{
"keywords": ["feature", "implement", "add"],
"labels": ["enhancement", "swarm-feature"],
"agents": ["architect", "coder", "tester"]
},
{
"keywords": ["slow", "performance", "optimize"],
"labels": ["performance", "swarm-optimizer"],
"agents": ["analyst", "optimizer"]
}
]
}Dynamic Agent Assignment
# Assign agents based on issue content npx claude-flow@v3alpha github issue-analyze 456 \ --suggest-agents \ --estimate-complexity \ --create-subtasks
Issue Swarm Commands
Initialize from Issue
# Create swarm with full issue context using gh CLI
# Get complete issue data
ISSUE=$(gh issue view 456 --json title,body,labels,assignees,comments,projectItems)
# Get referenced issues and PRs
REFERENCES=$(gh issue view 456 --json body --jq '.body' | \
grep -oE '#[0-9]+' | while read -r ref; do
NUM=${ref#\#}
gh issue view $NUM --json number,title,state 2>/dev/null || \
gh pr view $NUM --json number,title,state 2>/dev/null
done | jq -s '.')
# Initialize swarm
npx claude-flow@v3alpha github issue-init 456 \
--issue-data "$ISSUE" \
--references "$REFERENCES" \
--load-comments \
--analyze-references \
--auto-topology
# Add swarm initialization comment
gh issue comment 456 --body "🐝 Swarm initialized for this issue"Task Decomposition
# Break down issue into subtasks with gh CLI
# Get issue body
ISSUE_BODY=$(gh issue view 456 --json body --jq '.body')
# Decompose into subtasks
SUBTASKS=$(npx claude-flow@v3alpha github issue-decompose 456 \
--body "$ISSUE_BODY" \
--max-subtasks 10 \
--assign-priorities)
# Update issue with checklist
CHECKLIST=$(echo "$SUBTASKS" | jq -r '.tasks[] | "- [ ] " + .description')
UPDATED_BODY="$ISSUE_BODY
## Subtasks
$CHECKLIST"
gh issue edit 456 --body "$UPDATED_BODY"
# Create linked issues for major subtasks
echo "$SUBTASKS" | jq -r '.tasks[] | select(.priority == "high")' | while read -r task; do
TITLE=$(echo "$task" | jq -r '.title')
BODY=$(echo "$task" | jq -r '.description')
gh issue create \
--title "$TITLE" \
--body "$BODY
Parent issue: #456" \
--label "subtask"
doneProgress Tracking
# Update issue with swarm progress using gh CLI
# Get current issue state
CURRENT=$(gh issue view 456 --json body,labels)
# Get swarm progress
PROGRESS=$(npx claude-flow@v3alpha github issue-progress 456)
# Update checklist in issue body
UPDATED_BODY=$(echo "$CURRENT" | jq -r '.body' | \
npx claude-flow@v3alpha github update-checklist --progress "$PROGRESS")
# Edit issue with updated body
gh issue edit 456 --body "$UPDATED_BODY"
# Post progress summary as comment
SUMMARY=$(echo "$PROGRESS" | jq -r '
"## 📊 Progress Update
**Completion**: \(.completion)%
**ETA**: \(.eta)
### Completed Tasks
\(.completed | map("- ✅ " + .) | join("\n"))
### In Progress
\(.in_progress | map("- 🔄 " + .) | join("\n"))
### Remaining
\(.remaining | map("- ⏳ " + .) | join(AI-powered multi-agent code review. Simulates a customizable team of Engineers performing code review with built-in discourse.
Repo: spencermarx/open-code-review
Other agents on open-code-review.
- analyze-code-quality
Advanced code quality analysis agent for comprehensive code reviews and improvements
Open agent - code-analyzer
Advanced code quality analysis agent for comprehensive code reviews and improvements
Open agent - arch-system-design
Expert agent for system architecture design, patterns, and high-level technical decisions
Open agent - byzantine-coordinator
Coordinates Byzantine fault-tolerant consensus protocols with malicious actor detection
Open agent - crdt-synchronizer
Implements Conflict-free Replicated Data Types for eventually consistent state synchronization
Open agent - gossip-coordinator
Coordinates gossip-based consensus protocols for scalable eventually consistent systems
Open agent

