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HoneyDew

该 Skill 指导 Agent 通过 HoneyDew 的本地 REST API 管理看板、列、卡片、标签和评论,支持卡片创建、更新、移动、跨看板移动、删除以及在用户与 Agent 之间转移,并可查询看板汇总、逾期与紧急任务,记录 Agent 完成元数据;未说明认证机制,API 不可达时提示用户启动服务。

smartify-dot-ai
smartify-dot-ai
热度 67.78
最近更新 2026-05-17 12:57:24
分类:协作依赖:代码执行 / 第三方 API应用场景:任务管理 / 工作流 / API 集成

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add honeydew
Metadata
name
Honeydew
description
Manage HoneyDew Kanban boards, cards, and labels via the REST API.
homepage
https://github.com/smartify-inc/Honeydew
metadata
{"openclaw":{"emoji":"📋"}}

HoneyDew

Use this skill when the user asks you to manage tasks, boards, cards, columns, or labels on their HoneyDew Kanban board.

When to use

  • Creating, updating, moving, or deleting cards (tasks)
  • Listing boards, columns, or cards
  • Transferring cards between user and agent profiles
  • Managing labels (create, assign, remove)
  • Checking board summaries, overdue cards, or urgent items
  • Moving cards across boards

Tracking tasks

The user can open the HoneyDew board in their browser (http://localhost:5173) to see all tasks, their status, and what work the agent has completed. Encourage the user to check the board regularly for updates.

Assigning work to the user

When you need something from the user — a review, approval, input, or any manual step — create a task (or transfer an existing one) to the user's profile. It will appear on their board so they know action is needed. Let the user know you have assigned them a task and they should check HoneyDew.

Connection

  • Base URL: http://localhost:8000 (override with env SMARTIFY_API_URL)
  • Docs URL: If optionally enabled by the user http://localhost:8001' (override with env SMARTIFY_DOCS_URL`)
  • Auth: None (local app, no API key required)
  • Health check: GET /health — returns {"status": "healthy"} when the backend is running

If the API is not reachable, ask the user to start HoneyDew (./start.sh in the project root).

API reference

All endpoints are prefixed with /api.

Method Endpoint Description
GET /api/boards List all boards
POST /api/boards Create a board (optional columns array)
GET /api/boards/{id} Get board with columns and cards
DELETE /api/boards/{id} Delete a board
POST /api/columns Create a column (board_id, name)
PATCH /api/columns/{id} Update column name or position
DELETE /api/columns/{id} Delete a column
GET /api/cards List cards (filters: board_id, column_id, priority, has_due_date)
POST /api/cards Create a card (column_id, title, priority, profile, optional description, due_date)
GET /api/cards/{id} Get card details
PATCH /api/cards/{id} Update card fields
DELETE /api/cards/{id} Delete a card
POST /api/cards/{id}/move Move card (column_id, position)
POST /api/cards/{id}/move-to-board Move card to another board (board_id, optional column_name)
POST /api/cards/{id}/transfer Transfer card to another profile (target_profile)
GET /api/labels List all labels
POST /api/labels Create a label (name, color)
POST /api/cards/{id}/labels/{label_id} Add label to card
DELETE /api/cards/{id}/labels/{label_id} Remove label from card
GET /api/cards/{id}/comments List comments on a card
POST /api/cards/{id}/comments Add a comment (body, optional profile)

Priority values: 1 = Low, 2 = Medium, 3 = High, 4 = Urgent.

Examples

Create a task

curl -X POST http://localhost:8000/api/cards \
  -H "Content-Type: application/json" \
  -d '{"column_id": 1, "title": "Write docs", "priority": 2, "profile": "jarvis"}'

Move a card to "In Progress"

First find the column ID:

curl http://localhost:8000/api/boards/1

Then move:

curl -X POST http://localhost:8000/api/cards/3/move \
  -H "Content-Type: application/json" \
  -d '{"column_id": 2, "position": 0}'

Transfer a card to the user

curl -X POST http://localhost:8000/api/cards/3/transfer \
  -H "Content-Type: application/json" \
  -d '{"target_profile": "tony"}'

Python tools (optional)

If the user has the HoneyDew repo, tools/kanban_tools.py provides a higher-level Python interface:

from kanban_tools import KanbanTools, Priority

kanban = KanbanTools()
card = kanban.create_task(title="Write docs", priority=Priority.HIGH)
kanban.move_card_to_column(card["id"], board_id=1, column_name="In Progress")
kanban.assign_to_user(card["id"])
kanban.mark_done(card["id"])

Key convenience methods: create_task, assign_to_user, assign_to_agent, move_card_to_column, move_card_to_board, mark_todo, mark_in_progress, mark_blocked, mark_done, get_board_summary, get_overdue_cards, get_urgent_cards.

Task comments

Both users and agents can add comments to any task. Comments are visible in the task detail view in the UI. Always add a comment when:

  • You are blocked: Explain specifically what you need from the user (e.g. "Need API credentials for the staging environment before I can proceed").
  • You complete a task: Leave a brief summary of what you did and any decisions you made (e.g. "Refactored auth module into middleware, added 12 unit tests, all passing").
  • You need review or input: Describe what to look at and any open questions.
  • You hand off work: Note the current state so the next person (user or agent) has context.
curl -X POST http://localhost:8000/api/cards/3/comments \
  -H "Content-Type: application/json" \
  -d '{"body": "Finished the first pass, needs review.", "profile": "jarvis"}'

Agent completion metadata

When you complete a task, you may report completion metadata via PATCH /api/cards/{id}. These optional fields are displayed in the HoneyDew UI on the task detail:

Field Type Description
agent_tokens_used int Tokens consumed
agent_model string Model name (e.g. gpt-4o)
agent_execution_time_seconds float Execution time in seconds
agent_started_at string ISO 8601 datetime when work started
agent_completed_at string ISO 8601 datetime when work finished

Example with Python tools:

kanban.mark_done(
    card["id"],
    agent_tokens_used=4200,
    agent_model="gpt-4o",
    agent_execution_time_seconds=12.8,
    agent_started_at="2026-02-22T10:30:00Z",
    agent_completed_at="2026-02-22T10:30:12Z",
)

Or via curl after moving to Done:

curl -X PATCH http://localhost:8000/api/cards/5 \
  -H "Content-Type: application/json" \
  -d '{"agent_tokens_used": 4200, "agent_model": "gpt-4o", "agent_execution_time_seconds": 12.8, "agent_started_at": "2026-02-22T10:30:00Z", "agent_completed_at": "2026-02-22T10:30:12Z"}'