name: project-clickup description: ClickUp project management integration for incident tracking and task management allowed-tools: - Bash(python *)
ClickUp Project Management
Query and manage tasks in ClickUp for incident tracking and project management.
Authentication
This skill uses credentials managed by the credential-proxy service. In production, credentials are injected automatically via JWT authentication.
For local development, set:
CLICKUP_API_TOKEN- Your ClickUp API token (Personal Access Token)CLICKUP_TEAM_ID- Your workspace/team ID (optional, auto-detected if not set)
Available Scripts
list_spaces.py - Discover Workspace Structure
List all spaces, folders, and lists in the workspace:
# List spaces
python list_spaces.py
# Include lists and folders
python list_spaces.py --include-lists
# JSON output
python list_spaces.py --json
search_tasks.py - Search for Tasks
Search across all tasks in the workspace:
# Search by query
python search_tasks.py --query "payment error"
# Filter by status
python search_tasks.py --query "incident" --status "investigating"
# Recently updated
python search_tasks.py --updated-since 24h
# Combined filters
python search_tasks.py --query "api" --status "open" --updated-since 7d --json
Options:
--query, -q- Search text (matches name and description)--status, -s- Filter by status (can repeat for multiple)--assignee, -a- Filter by assignee ID--list-id- Filter by list ID--space-id- Filter by space ID--updated-since- Tasks updated since (e.g., "1h", "24h", "7d")--created-since- Tasks created since--include-closed- Include closed tasks--limit- Maximum results (default: 50)--json- Output as JSON
get_task.py - Get Task Details
Retrieve full details for a specific task:
# Basic details
python get_task.py abc123
# Include comments
python get_task.py abc123 --include-comments
# Include subtasks
python get_task.py abc123 --include-subtasks
# Full details as JSON
python get_task.py abc123 --include-comments --include-subtasks --json
Options:
--include-comments, -c- Include task comments--include-subtasks, -s- Include subtasks--json- Output as JSON
add_comment.py - Add Task Comment
Add investigation findings to a task:
# Simple comment
python add_comment.py abc123 --message "Found root cause in logs"
# Markdown comment
python add_comment.py abc123 -m "## Investigation Summary\n- Error in payment service\n- Caused by config change"
Options:
--message, -m- Comment text (supports markdown)--json- Output as JSON
ClickUp Hierarchy
Understanding ClickUp's structure helps with navigation:
Workspace (Team)
└── Space
├── Folder (optional)
│ └── List
│ └── Task
│ └── Subtask
└── List (folderless)
└── Task
Investigation Workflow
1. Discover Structure
First, find where incidents are tracked:
python list_spaces.py --include-lists
Look for spaces/lists like "Incidents", "SRE", "On-Call", etc.
2. Search for Related Incidents
Search for incidents related to your investigation:
python search_tasks.py --query "payment" --status "investigating"
3. Get Incident Details
Review the full incident context:
python get_task.py abc123 --include-comments
4. Document Findings
Add your investigation findings:
python add_comment.py abc123 --message "Root cause: Database connection pool exhausted"
Task Properties
Status
Tasks have configurable statuses. Common incident statuses:
to do/open- New incidentinvestigating- Active investigationin progress- Remediation underwayresolved/complete- Incident resolvedclosed- Post-mortem complete
Priority
- 1 = Urgent
- 2 = High
- 3 = Normal
- 4 = Low
Custom Fields
Teams often use custom fields for:
- Severity (P0, P1, P2, etc.)
- Affected services
- Impact scope
- Customer impact
- Root cause category
Integration with Other Skills
ClickUp integrates with the investigation workflow:
- Start: Check ClickUp for existing incident tickets
- Investigate: Use observability skills to find root cause
- Document: Add findings to ClickUp task as comments
- Correlate: Link with git log and curl $GITHUB_BASE_URL for change analysis
Tips
- Use task IDs - Copy task IDs from ClickUp URLs (format:
abc123) - Search broadly first - Start with general queries, then filter
- Check comments - Previous investigation notes may have clues
- Document as you go - Add comments with findings for team visibility