
ak-task
Create, assign, monitor, and review one Agent Kanban Task through Realmroot Toolbox. Use only when the user explicitly asks for an AK Task, Agent Kanban task delegation, or execution through an AK board.
- Installs
- 140
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/saltbo/agent-kanban --skill ak-task- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads ak-task automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
AK Task
Before creation
Use generic Toolbox reads to resolve the Board, Repository, and existing Tasks:
realmroot toolbox get agent-kanban/boards --json
realmroot toolbox get agent-kanban/repositories --json
realmroot toolbox get 'agent-kanban/tasks?boardId=<board-id>' --json
Find available Agents:
realmroot toolbox get 'agent-kanban/agents?schedulable=true' --json
Use the selected Agent's subject as assignedTo. If no suitable Agent
exists and provisioning is authorized, create one through
agent-kanban/agents.
Resolve material ambiguity and show the user the exact Task preview before creating it. The preview must include title, Board, Repository, assignee, description, dependencies, and acceptance checks.
Create and assign
Create an unassigned Task, then patch its assignedTo field.
realmroot toolbox post agent-kanban/tasks \
--content-type application/json \
@task.json --json
realmroot toolbox patch agent-kanban/tasks/<task-id> \
--content-type application/merge-patch+json \
'{"assignedTo":"<realmroot-agent-actor-id>"}' --json
Realmroot Toolbox generates the required idempotency key and
reuses it across transient retries of this invocation. Supply an explicit
Idempotency-Key only when recovering with the known key from an earlier
invocation whose outcome remained unknown.
The Task body uses lowerCamelCase resource fields such as boardId, title,
description, repositoryId, labels, dependsOn, createdFrom, and
scheduledAt. Omit scheduledAt when creating Tasks; delayed scheduling is
not supported. After an unknown PATCH outcome, reread the Task before
deciding whether another write is necessary; do not create another Task.
Monitor
Use bounded task wait calls and carry the returned cursor into the next call.
Do not build an unbounded polling loop.
realmroot toolbox agent-kanban task wait <task-id> in-review --wait-seconds 25 --json
Inspect the Task and Notes after each meaningful state change with generic GET operations. A cancelled Task is terminal.
Review
When the Task reaches in-review, verify the submitted work, then reread the
Task before making the review decision:
realmroot toolbox get agent-kanban/tasks/<task-id> --include --json
realmroot toolbox patch agent-kanban/tasks/<task-id> \
--content-type application/merge-patch+json \
'{"status":"in-progress","statusReason":"Describe the required correction"}' --json
realmroot toolbox patch agent-kanban/tasks/<task-id> \
--content-type application/merge-patch+json \
'{"status":"done"}' --json
Reject when acceptance evidence or implementation is insufficient, then wait
for a new in-review Task state. Complete only after the requested outcome is
proven. If the verified reviewer actor equals the Task's
assignedTo, do not attempt either decision; another authorized principal
must review.
Cancel a non-terminal Task through the same Task patch:
realmroot toolbox patch agent-kanban/tasks/<task-id> \
--content-type application/merge-patch+json \
'{"status":"cancelled"}' --json
FAQ
What does the ak-task skill do?
Create, assign, monitor, and review one Agent Kanban Task through Realmroot Toolbox. Use only when the user explicitly asks for an AK Task, Agent Kanban task delegation, or execution through an AK board.
How do I install ak-task?
Run npx skills add https://github.com/saltbo/agent-kanban --skill ak-task in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/ak-task/ (personal) or .claude/skills/ak-task/ (project).
Which AI agents can use ak-task?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is ak-task safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains ak-task?
It is published by saltbo in saltbo/agent-kanban. It has 140 recorded installs.
More from saltbo/agent-kanban
agent-kanban
saltbo/agent-kanban
Work on an assigned Agent Kanban v2 Task through Realmroot Toolbox. Use when an Agent running in an Agency Session needs to inspect, claim, update, or submit assigned work.
ak-plan
saltbo/agent-kanban
Open the skill to read its SKILL.md instructions.
Popular productivity & automation skills
agent-browser
vercel-labs/agent-browser
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.
lark-doc
open.feishu.cn
飞书云文档(Docx / Wiki)内容操作:读取、创建、编辑文档,插入或下载图片附件,以及操作思维笔记。用户提供文档 URL/token(包括 doubao.com 的 /docx/、/wiki/)时使用;按 URL 路径/token 而非域名路由;/page/ 是妙搭应用,非飞书云文档。文档内嵌资源按读取参考中的统一规则分流。独立评论操作走 lark-drive;随正文读取评论使用 docs +fetch。表格或 Base 内部数据操作不在本 skill。
lark-base
open.feishu.cn
飞书多维表格(Base)操作:建表、字段、记录、视图、统计、公式/lookup、表单、仪表盘、应用模式(BaseApp/AppMode 页面与组件)、Workspace 目录、workflow、角色权限、模板中心(多维表格模板分类/列表/搜索);遇到 Base/多维表格/bitable、BaseApp/AppMode、/base/ 或 /app/ 链接时使用。BaseApp 不走 lark-apps;文件导入/导出转 lark-drive,认证/授权转 lark-shared。
lark-drive
open.feishu.cn
飞书云空间(云盘/云存储):管理 Drive 文件和文件夹,包含上传/下载、创建文件夹、复制/移动/删除、查看元数据、查询权限设置、评论/权限/订阅、标题、版本、飞书文档密级标签(secure labels)和本地文件导入。用户需要整理云盘目录、处理云空间资源 URL/token、判断链接类型/真实 token/标题,或导入 Word/Markdown/Excel/CSV/PPTX/.base 为 docx/sheet/bitable/slides 时使用;doubao.com 云空间 URL/token 也按资源路径和 token 路由,不回退 WebFetch。不负责:文档内容编辑(走 lark-doc)、表格/Base 表内数据操作(走 lark-sheets/lark-base)、知识空间节点/成员管理(走 lark-wiki)、原生 Markdown 文件读写/patch/diff(走 lark-markdown)。
lark-shared
open.feishu.cn
Use for lark-cli setup/auth tasks: auth login/status/logout, user vs bot identity, business-domain permissions (--domain, including all/docs/drive), missing scopes, revoking authorization, or handling notice JSON.
lark-im
open.feishu.cn
飞书即时通讯:收发消息和管理群聊。发送和回复消息、搜索聊天记录、管理群聊成员、上传下载图片和文件、管理表情回复、发送应用内/短信/电话加急、发送和处理交互卡片(Interactive Card)、监听卡片按钮回调(card.action.trigger)。当用户需要发消息、查看或搜索聊天记录、下载聊天中的文件、查看群成员、搜索群、创建群聊或话题群、管理标记数据、管理 Feed 置顶(添加/移除/查询置顶会话)、管理标签数据、处理卡片回调时使用。