Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Send short status descriptions in chat for long-running tasks. Use when you need to provide periodic updates during multi-step operations, confirm task completion, or notify of failures. Includes automated periodic monitoring that sends updates every 5 seconds, status message templates, and a helper function for consistent status reporting.
Send short status descriptions in chat for long-running tasks. Use when you need to provide periodic updates during multi-step operations, confirm task completion, or notify of failures. Includes automated periodic monitoring that sends updates every 5 seconds, status message templates, and a helper function for consistent status reporting.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
python scripts/send_status.py "Starting data fetch..." "progress" "step1" python scripts/send_status.py "Processing complete" "success" "final" python scripts/send_status.py "Error: Missing API key" "error" "auth"
# Start monitoring a long-running task python scripts/monitor_task.py start "My Long Task" "processing" # Monitor will send "Still working..." updates every 5 seconds # When task completes, report final status python scripts/monitor_task.py stop "My Long Task" "success" "Completed successfully!"
progress: Ongoing work (shows 🔄 or ->) success: Task complete (shows ✅ or OK) error: Failed task (shows ❌ or !) warning: Issue but continuing (shows ⚠️ or ?)
The monitor_task.py script provides automatic updates:
python scripts/monitor_task.py start "<task_name>" "<status_type>" [--interval <seconds>] Automatically sends "Still working..." updates every 5 seconds Runs in background until stopped Can be customized with different intervals
python scripts/monitor_task.py stop "<task_name>" "<final_status>" "<final_message>"
# Start monitoring python scripts/monitor_task.py start "video_processing" "progress" # ... long processing happens here ... # Stop with final status python scripts/monitor_task.py stop "video_processing" "success" "Processing complete!"
For single status updates without monitoring: python scripts/send_status.py "Still fetching data..." "progress" "fetch" python scripts/send_status.py "Processing records: 250/1000" "progress" "process" python scripts/send_status.py "Complete! 3 files ready" "success" "final" python scripts/send_status.py "Error: Connection timeout" "error" "api"
Task is short (under 30 seconds) You want control over when updates are sent Task has discrete, meaningful milestones
Task is long-running (over 1 minute) You want consistent "heartbeat" updates every 5 seconds Task has long periods of quiet work You want to reassure user that work is ongoing
Keep status messages under 140 characters. Examples: Progress: "Still fetching data..." or "Processing records: 250/1000" Success: "Complete! 3 files ready" or "Task finished successfully" Error: "Error: Connection timeout" or "Failed: Missing API key" Warning: "Continuing despite timeout" or "Partial success: 5/10 files"
python scripts/send_status.py "Uploading..." "progress" "upload" --details "File: report.pdf (2.4MB)"
python scripts/monitor_task.py start "data_sync" "progress" --interval 10
from send_status import send_status def long_task(): send_status("Starting...", "progress", "step1") # ... work send_status("Step complete", "success", "step1")
For scheduled tasks, use Clawdbot's cron feature: # In a script or session from cron import add # Every 5 seconds, check status job = { "text": "Check status update", "interval": "5s", "enabled": True } add(job) This allows status updates even when you're not actively watching.
To use this skill, copy the task-status folder into your Clawdbot skills directory: C:\Users\Luffy\AppData\Roaming\npm\node_modules\clawdbot\skills\task-status Or add it to your workspace and reference it from AGENTS.md or TOOLS.md. Once installed, the skill will be available for any task where you need periodic status updates.
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
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