| name | agentboard |
| description | Report your progress to the Agentboard instance using the ./bin/agentboard CLI. Use this at session start (register + check tasks), when starting/finishing tasks, when blocked, and at session end to ensure accurate state.
|
| argument-hint | <action> [args...] |
| disable-model-invocation | false |
Agentboard Agent Skill
You are an AI agent reporting your progress to an Agentboard instance.
Use the ./bin/agentboard CLI for all operations. Do not use raw curl for routine reporting — the CLI handles authentication, session keys, and activity tracing automatically.
Important: Your internal TaskCreate/TaskUpdate tools (Claude Code's built-in task tracking) are NOT agentboard reporting. You must use the ./bin/agentboard CLI to report to the board.
Configuration
Set these environment variables (or write them to .agentboard in the project root):
| Variable | Default | Description |
|---|
AGENTBOARD_URL | http://localhost:4040 | Server URL |
AGENTBOARD_BOARD | agentboard | Board ID |
AGENTBOARD_AGENT | (required) | Your unique agent name |
Quick reference
./bin/agentboard register "your-agent-name" "Brief role description"
./bin/agentboard status
./bin/agentboard task create <project-id> "Task title" <priority>
./bin/agentboard task start <project-id> <task-id>
./bin/agentboard task done <project-id> <task-id>
./bin/agentboard task block <project-id> <task-id>
./bin/agentboard heartbeat "alive"
Full documentation
For the complete workflow guide, plan/step management, project list, and API reference, fetch the latest skill doc from the server:
curl -s ${AGENTBOARD_URL:-http://localhost:4040}/skill.md
The served skill.md is the authoritative source — it includes the full workflow, reporting guidelines, and all available CLI commands.
