Agent Project Board Sync logo

Agent Project Board Sync

CommunityPopular
ruvnet
agent-project-board-sync

Agent skill for project-board-sync - invoke with $agent-project-board-sync

Overview

Publisherruvnet
Repositoryruflo
Skill nameagent-project-board-sync
Stars
73.6K
Forks
8.7K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by ruvnet on GitHub. Read the source before you install it.

Installation

Install the Agent Project Board Sync AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-project-board-sync
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ruvnet/ruflo.git /tmp/ruflo
mkdir -p .claude/skills
cp -r /tmp/ruflo/.agents/skills/agent-project-board-sync .claude/skills/agent-project-board-sync
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent Project Board Sync in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Agent Project Board Sync on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Agent Project Board Sync is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.


name: project-board-sync description: Synchronize AI swarms with GitHub Projects for visual task management, progress tracking, and team coordination type: coordination color: "#A8E6CF" tools:

  • Bash
  • Read
  • Write
  • Edit
  • Glob
  • Grep
  • LS
  • TodoWrite
  • mcp__claude-flow__swarm_init
  • mcp__claude-flow__agent_spawn
  • mcp__claude-flow__task_orchestrate
  • mcp__claude-flow__swarm_status
  • mcp__claude-flow__memory_usage
  • mcp__claude-flow__github_repo_analyze
  • mcp__claude-flow__github_pr_manage
  • mcp__claude-flow__github_issue_track
  • mcp__claude-flow__github_metrics
  • mcp__claude-flow__workflow_create
  • mcp__claude-flow__workflow_execute hooks: pre:
    • "gh auth status || (echo 'GitHub CLI not authenticated' && exit 1)"
    • "gh project list --owner @me --limit 1 >$dev$null || echo 'No projects accessible'"
    • "git status --porcelain || echo 'Not in git repository'"
    • "gh api user | jq -r '.login' || echo 'API access check'" post:
    • "gh project list --owner @me --limit 3 | head -5"
    • "gh issue list --limit 3 --json number,title,state"
    • "git branch --show-current || echo 'Not on a branch'"
    • "gh repo view --json name,description"

Project Board Sync - GitHub Projects Integration

Overview

Synchronize AI swarms with GitHub Projects for visual task management, progress tracking, and team coordination.

Core Features

1. Board Initialization

bash
# Connect swarm to GitHub Project using gh CLI
# Get project details
PROJECT_ID=$(gh project list --owner @me --format json | \
  jq -r '.projects[] | select(.title == "Development Board") | .id')

# Initialize swarm with project
npx ruv-swarm github board-init \
  --project-id "$PROJECT_ID" \
  --sync-mode "bidirectional" \
  --create-views "swarm-status,agent-workload,priority"

# Create project fields for swarm tracking
gh project field-create $PROJECT_ID --owner @me \
  --name "Swarm Status" \
  --data-type "SINGLE_SELECT" \
  --single-select-options "pending,in_progress,completed"

2. Task Synchronization

bash
# Sync swarm tasks with project cards
npx ruv-swarm github board-sync \
  --map-status '{
    "todo": "To Do",
    "in_progress": "In Progress",
    "review": "Review",
    "done": "Done"
  }' \
  --auto-move-cards \
  --update-metadata

3. Real-time Updates

bash
# Enable real-time board updates
npx ruv-swarm github board-realtime \
  --webhook-endpoint "https:/$api.example.com$github-sync" \
  --update-frequency "immediate" \
  --batch-updates false

Configuration

Board Mapping Configuration

yaml
# .github$board-sync.yml
version: 1
project:
  name: "AI Development Board"
  number: 1
  
mapping:
  # Map swarm task status to board columns
  status:
    pending: "Backlog"
    assigned: "Ready"
    in_progress: "In Progress"
    review: "Review"
    completed: "Done"
    blocked: "Blocked"
    
  # Map agent types to labels
  agents:
    coder: "🔧 Development"
    tester: "🧪 Testing"
    analyst: "📊 Analysis"
    designer: "🎨 Design"
    architect: "🏗️ Architecture"
    
  # Map priority to project fields
  priority:
    critical: "🔴 Critical"
    high: "🟡 High"
    medium: "🟢 Medium"
    low: "⚪ Low"
    
  # Custom fields
  fields:
    - name: "Agent Count"
      type: number
      source: task.agents.length
    - name: "Complexity"
      type: select
      source: task.complexity
    - name: "ETA"
      type: date
      source: task.estimatedCompletion

View Configuration

javascript
// Custom board views
{
  "views": [
    {
      "name": "Swarm Overview",
      "type": "board",
      "groupBy": "status",
      "filters": ["is:open"],
      "sort": "priority:desc"
    },
    {
      "name": "Agent Workload",
      "type": "table",
      "groupBy": "assignedAgent",
      "columns": ["title", "status", "priority", "eta"],
      "sort": "eta:asc"
    },
    {
      "name": "Sprint Progress",
      "type": "roadmap",
      "dateField": "eta",
      "groupBy": "milestone"
    }
  ]
}

Automation Features

1. Auto-Assignment

bash
# Automatically assign cards to agents
npx ruv-swarm github board-auto-assign \
  --strategy "load-balanced" \
  --consider "expertise,workload,availability" \
  --update-cards

2. Progress Tracking

bash
# Track and visualize progress
npx ruv-swarm github board-progress \
  --show "burndown,velocity,cycle-time" \
  --time-period "sprint" \
  --export-metrics

3. Smart Card Movement

bash
# Intelligent card state transitions
npx ruv-swarm github board-smart-move \
  --rules '{
    "auto-progress": "when:all-subtasks-done",
    "auto-review": "when:tests-pass",
    "auto-done": "when:pr-merged"
  }'

Board Commands

Create Cards from Issues

bash
# Convert issues to project cards using gh CLI
# List issues with label
ISSUES=$(gh issue list --label "enhancement" --json number,title,body)

# Add issues to project
echo "$ISSUES" | jq -r '.[].number' | while read -r issue; do
  gh project item-add $PROJECT_ID --owner @me --url "https:/$github.com/$GITHUB_REPOSITORY$issues/$issue"
done

# Process with swarm
npx ruv-swarm github board-import-issues \
  --issues "$ISSUES" \
  --add-to-column "Backlog" \
  --parse-checklist \
  --assign-agents

Bulk Operations

bash
# Bulk card operations
npx ruv-swarm github board-bulk \
  --filter "status:blocked" \
  --action "add-label:needs-attention" \
  --notify-assignees

Card Templates

bash
# Create cards from templates
npx ruv-swarm github board-template \
  --template "feature-development" \
  --variables '{
    "feature": "User Authentication",
    "priority": "high",
    "agents": ["architect", "coder", "tester"]
  }' \
  --create-subtasks

Advanced Synchronization

1. Multi-Board Sync

bash
# Sync across multiple boards
npx ruv-swarm github multi-board-sync \
  --boards "Development,QA,Release" \
  --sync-rules '{
    "Development->QA": "when:ready-for-test",
    "QA->Release": "when:tests-pass"
  }'

2. Cross-Organization Sync

bash
# Sync boards across organizations
npx ruv-swarm github cross-org-sync \
  --source "org1/Project-A" \
  --target "org2/Project-B" \
  --field-mapping "custom" \
  --conflict-resolution "source-wins"

3. External Tool Integration

bash
# Sync with external tools
npx ruv-swarm github board-integrate \
  --tool "jira" \
  --mapping "bidirectional" \
  --sync-frequency "5m" \
  --transform-rules "custom"

Visualization & Reporting

Board Analytics

bash
# Generate board analytics using gh CLI data
# Fetch project data
PROJECT_DATA=$(gh project item-list $PROJECT_ID --owner @me --format json)

# Get issue metrics
ISSUE_METRICS=$(echo "$PROJECT_DATA" | jq -r '.items[] | select(.content.type == "Issue")' | \
  while read -r item; do
    ISSUE_NUM=$(echo "$item" | jq -r '.content.number')
    gh issue view $ISSUE_NUM --json createdAt,closedAt,labels,assignees
  done)

# Generate analytics with swarm
npx ruv-swarm github board-analytics \
  --project-data "$PROJECT_DATA" \
  --issue-metrics "$ISSUE_METRICS" \
  --metrics "throughput,cycle-time,wip" \
  --group-by "agent,priority,type" \
  --time-range "30d" \
  --export "dashboard"

Custom Dashboards

javascript
// Dashboard configuration
{
  "dashboard": {
    "widgets": [
      {
        "type": "chart",
        "title": "Task Completion Rate",
        "data": "completed-per-day",
        "visualization": "line"
      },
      {
        "type": "gauge",
        "title": "Sprint Progress",
        "data": "sprint-completion",
        "target": 100
      },
      {
        "type": "heatmap",
        "title": "Agent Activity",
        "data": "agent-tasks-per-day"
      }
    ]
  }
}

Reports

bash
# Generate reports
npx ruv-swarm github board-report \
  --type "sprint-summary" \
  --format "markdown" \
  --include "velocity,burndown,blockers" \
  --distribute "slack,email"

Workflow Integration

Sprint Management

bash
# Manage sprints with swarms
npx ruv-swarm github sprint-manage \
  --sprint "Sprint 23" \
  --auto-populate \
  --capacity-planning \
  --track-velocity

Milestone Tracking

bash
# Track milestone progress
npx ruv-swarm github milestone-track \
  --milestone "v2.0 Release" \
  --update-board \
  --show-dependencies \
  --predict-completion

Release Planning

bash
# Plan releases using board data
npx ruv-swarm github release-plan-board \
  --analyze-velocity \
  --estimate-completion \
  --identify-risks \
  --optimize-scope

Team Collaboration

Work Distribution

bash
# Distribute work among team
npx ruv-swarm github board-distribute \
  --strategy "skills-based" \
  --balance-workload \
  --respect-preferences \
  --notify-assignments

Standup Automation

bash
# Generate standup reports
npx ruv-swarm github standup-report \
  --team "frontend" \
  --include "yesterday,today,blockers" \
  --format "slack" \
  --schedule "daily-9am"

Review Coordination

bash
# Coordinate reviews via board
npx ruv-swarm github review-coordinate \
  --board "Code Review" \
  --assign-reviewers \
  --track-feedback \
  --ensure-coverage

Best Practices

1. Board Organization

  • Clear column definitions
  • Consistent labeling system
  • Regular board grooming
  • Automation rules

2. Data Integrity

  • Bidirectional sync validation
  • Conflict resolution strategies
  • Audit trails
  • Regular backups

3. Team Adoption

  • Training materials
  • Clear workflows
  • Regular reviews
  • Feedback loops

Troubleshooting

Sync Issues

bash
# Diagnose sync problems
npx ruv-swarm github board-diagnose \
  --check "permissions,webhooks,rate-limits" \
  --test-sync \
  --show-conflicts

Performance

bash
# Optimize board performance
npx ruv-swarm github board-optimize \
  --analyze-size \
  --archive-completed \
  --index-fields \
  --cache-views

Data Recovery

bash
# Recover board data
npx ruv-swarm github board-recover \
  --backup-id "2024-01-15" \
  --restore-cards \
  --preserve-current \
  --merge-conflicts

Examples

Agile Development Board

bash
# Setup agile board
npx ruv-swarm github agile-board \
  --methodology "scrum" \
  --sprint-length "2w" \
  --ceremonies "planning,review,retro" \
  --metrics "velocity,burndown"

Kanban Flow Board

bash
# Setup kanban board
npx ruv-swarm github kanban-board \
  --wip-limits '{
    "In Progress": 5,
    "Review": 3
  }' \
  --cycle-time-tracking \
  --continuous-flow

Research Project Board

bash
# Setup research board
npx ruv-swarm github research-board \
  --phases "ideation,research,experiment,analysis,publish" \
  --track-citations \
  --collaborate-external

Metrics & KPIs

Performance Metrics

bash
# Track board performance
npx ruv-swarm github board-kpis \
  --metrics '[
    "average-cycle-time",
    "throughput-per-sprint",
    "blocked-time-percentage",
    "first-time-pass-rate"
  ]' \
  --dashboard-url

Team Metrics

bash
# Track team performance
npx ruv-swarm github team-metrics \
  --board "Development" \
  --per-member \
  --include "velocity,quality,collaboration" \
  --anonymous-option

See also: swarm-issue.md, multi-repo-swarm.md

Frequently asked questions

What does the Agent Project Board Sync AI skill do?

Agent skill for project-board-sync - invoke with $agent-project-board-sync

Why use Agent Project Board Sync on TypingMind?

Because you install it once and use it with any model. Agent Project Board Sync is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Agent Project Board Sync in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-project-board-sync. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agent Project Board Sync?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Agent Project Board Sync?

As many as you like. As long as a model supports skills, you can use Agent Project Board Sync with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Agent Project Board Sync AI skill free?

Yes. It is published on GitHub by ruvnet under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇