任务看板
taskboard-cli
by ckouder
Lightweight task management CLI for multi-agent workflows. SQLite backend, no external dependencies or credentials. Status-change hooks emit agent instructions (message, session) but do not auto-execute. Use when managing tasks across agents, tracking work status, assigning tasks, generating board summaries, or orchestrating cross-agent handoffs. Triggers on \"create task\", \"task board\", \"taskboard\", \"list tasks\", \"assign task\", \"board summary\", \"project tasks\".
安装
claude skill add --url github.com/openclaw/skills/tree/main/skills/ckouder/taskboard-cli文档
Taskboard CLI
SQLite-backed task management for multi-agent projects. No network calls, no credentials, no environment variables.
Quick Start
# Create tasks
python3 scripts/taskboard.py create "Build auth" --assign code-engineer --priority high
python3 scripts/taskboard.py create "Design UI" --assign designer --criteria "Responsive, mobile-first"
# Manage tasks
python3 scripts/taskboard.py update 1 --status in_progress --author code-engineer
python3 scripts/taskboard.py comment 1 "PR #42 ready" --author code-engineer
python3 scripts/taskboard.py update 1 --status done --author code-engineer --note "Merged to main"
# View board
python3 scripts/taskboard.py list --status in_progress
python3 scripts/taskboard.py show 1
python3 scripts/taskboard.py show 1 --json
python3 scripts/taskboard.py summary
# Subtasks
python3 scripts/taskboard.py create "Write tests" --parent 1 --assign code-engineer
# Thread linking
python3 scripts/taskboard.py set-thread 1 1484268803994026085
python3 scripts/taskboard.py get-thread 1
# Change history
python3 scripts/taskboard.py history 1
Custom Database Path
By default the database lives at scripts/taskboard.db. Override with --db:
python3 scripts/taskboard.py --db /path/to/my.db list
Task Statuses
todo → in_progress → done
Also: blocked, rejected
No "review" status — use hooks to create follow-up tasks or notify agents.
Hooks (Cross-Agent Orchestration)
Hooks fire when task status changes. They print instructions to stdout for the calling agent to execute — no auto-execution, no network calls.
# When task is started (ack'd), print a notification instruction
python3 scripts/taskboard.py create "Build auth" \
--on-ack "message:CHANNEL_ID:🔨 {task.title} started by {task.assigned_to}"
# When done, instruct the agent to create a review task
python3 scripts/taskboard.py create "Design UI" \
--on-done "session:tech-lead:Review {task.title} and create QA task"
# Add/update hooks on existing task
python3 scripts/taskboard.py update 1 --on-done "message:CHANNEL_ID:Done!"
Hook output format:
🔔 ON_ACK: message:CHANNEL_ID:🔨 Build auth started
🔔 ON_DONE: session:tech-lead:Review Build auth and create QA task
The agent reads these lines and decides how to act (send a message, spawn a session, create a task, etc.).
Data Model
- tasks — id, title, description, acceptance_criteria, status, priority, assigned_to, created_by, parent_id, thread_id, on_ack, on_done, timestamps
- task_comments — per-task comment history
- task_updates — audit log of all field changes
Schema auto-initializes on first run. Upgrades from v1 (missing on_ack/on_done columns) are handled automatically.
Reference
references/webhook-integration.md— How to add Discord/webhook notifications on top of taskboardreferences/github-backend.md— Syncing tasks with GitHub Issuesreferences/taskboard-setup.md— Task lifecycle, cross-agent handoff protocol, cron integration
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