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vibe-kanban振动看板

Agent Skill

vibe-kanban 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,060

周安装

85

GitHub Stars

11

下载量

673
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:vibe-kanban(振动看板)
来源仓库:https://github.com/akillness/oh-my-skills
仓库路径:skills/vibe-kanban
安装命令:
npx skills add https://github.com/akillness/oh-my-skills --skill vibe-kanban
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/akillness/oh-my-skills --skill vibe-kanban

简介

用于协调代码任务在可视化看板上的流转,支持隔离工作空间、人工审核和 PR 交接。

  • 适合需要显式管理开发边界、控制评审节奏和重试机制的场景,如复杂功能联调。
  • 使用时需结合环境变量配置和模式文档,明确任务边界和非代码事项的跟踪方式。
  • 安装命令:npx skills add https://github.com/akillness/oh-my-skills --skill vibe-kanban
  • 涉及 GitHub 仓库操作时,需确认 API 权限和网络连通性,避免触发未授权访问。

SKILL.md

Vibe Kanban

vibe-kanban is the coding-board / workspace / review control-plane skill.

Use it when the hard part is coordinating bounded coding tasks through a visible board, isolated workspaces, human review, retries, and PR handoff.

Read these support docs before you pick the workflow shape:

When to use this skill

Use vibe-kanban when one or more of these are true:

  • The user needs a visual board or workspace queue for coding tasks.
  • The workflow requires parallel workspaces/worktrees instead of one long agent session.
  • A human must review diffs, retries, or PR handoff across several coding cards.
  • The operator wants one control plane for branch isolation, agent assignment, review, and cleanup.
  • The board should stay linked to an existing tracker without replacing it as the PM source of truth.
  • The request mentions kanban board, review queue, worktree board, coding tracker sync, parallel coding agents, or vibe-kanban.

When not to use this skill

  • Planning, decomposition, or sign-off comes before any coding board → use task-planning, survey, jeo, or plannotator
  • The task is a single-agent coding run with no board/review/workspace need → use the relevant coding/orchestration skill directly
  • The real requirement is browser review or authenticated browser reuse → use agentation, agent-browser, or playwriter
  • The work is mostly PM / ops coordination without coding workspaces, diffs, or PRs → use PM workflow skills such as task-planning, standup-meeting, or sprint-retrospective
  • The work is mainly marketing/content operations → use marketing-automation or adjacent GTM/content skills
  • The work is game-production planning without coding-board execution → use bmad-gds or other game-production skills

Quick routing rule

If the job needs...Use
A board for bounded coding tasks with worktrees, review, retries, and PR handoffvibe-kanban
Plan review or artifact approval before coding beginsplannotator
One agent task with no board/workspace control planedirect coding/orchestration skill
Exact rendered-UI review or browser-state reuseagentation / playwriter / agent-browser
Non-code work coordination (PM, marketing, game ops)the matching domain workflow skill

Instructions

Step 1: Confirm that the board is the real need

Normalize the request before opening a board or configuring MCP.

vibe_kanban_mode:
  board_need: coding-board | tracker-sync | review-queue | compare-agents | unknown
  task_shape: single-bounded-task | several-independent-tasks | epic-needs-splitting | unknown
  review_surface: board-review | PR-review | board-then-PR | unknown
  repo_scope: one-repo | several-repos | no-repo | unknown
  agent_mix: claude | codex | gemini | opencode | mixed | unknown
  cleanup_need: low | medium | high | unknown

Choose vibe-kanban only if the workflow truly needs a coding board. If the task is still a vague epic, split it before the board becomes noise.

Step 2: Keep one bounded coding task per card

Good cards have one reviewable outcome:

  • one API endpoint
  • one failing test cluster
  • one isolated UI component
  • one comparison between two agents on one task

Bad cards are giant epics such as “finish the migration” or mixed non-code/coding workflows.

Step 3: Pick the board packet and review surface

Use references/board-packets-and-surface-selection.md to choose among:

  • parallel coding cards
  • agent comparison
  • review queue
  • tracker sync

Default to board-then-PR when quick local iteration matters but the final review still belongs in GitHub.

Step 4: Treat each card as a workspace contract

Every card should capture:

  • exact goal and acceptance checks
  • repo + base branch
  • chosen agent
  • review surface
  • cleanup owner
  • tracker link if an external board remains canonical

Minimal card example:

Title: Fix signup validation regression
Goal: Restore server-side validation for missing email/phone on /signup
Acceptance: failing tests pass, new regression test added, PR ready for review
Agent: Claude Code
Review: board-then-PR

Step 5: Run the board loop

  1. Create or refine a bounded card
  2. Start one isolated workspace for that card
  3. Observe logs and diffs
  4. Review against the card contract
  5. Retry, split, approve, or hand off to PR review
  6. Clean up branches/worktrees/servers explicitly

Step 6: Keep review and cleanup honest

Use references/review-and-cleanup.md for the acceptance loop. The short rule:

  • compare output to the card contract, not just whether files changed
  • prefer retry or split over letting one workspace drift forever
  • do not treat board status as proof that the work is done
  • close stale cards and prune stale worktrees on purpose

Step 7: Use MCP only when shared board control helps

Start with the UI or local workflow first. Bring in MCP when another orchestrator needs to create cards, inspect state, or move work programmatically.

Step 8: Route out honestly

Keep vibe-kanban narrow enough to stay useful.

  • plan creation or approval → task-planning, survey, plannotator, jeo
  • code review without a board/workspace loop → code-review
  • browser review or QA evidence → agentation, agent-browser, playwriter
  • PM-only rituals or roadmap coordination → PM skills
  • marketing/content pipeline coordination without coding workspaces → marketing-automation
  • game-production planning without coding-board control → bmad-gds

High-value command patterns

# start local board on a safe port
PORT=3001 npx vibe-kanban --port 3001

# run MCP server for orchestrators
npx vibe-kanban --mcp

# inspect worktree cleanup state
git worktree list
git worktree prune

Examples

Example 1: Parallel coding board

  • Prompt: “Set up a board so Claude and Codex can each take one of these three independent bug fixes, and I can review diffs before opening PRs.”
  • Expected behavior: use vibe-kanban, create bounded cards, keep workspaces isolated, and choose a board-review → PR handoff loop.

Example 2: Agent comparison

  • Prompt: “Run two agents against the same API bug so I can compare their diffs and decide which PR to keep.”
  • Expected behavior: use vibe-kanban, preserve isolated attempts, and make the review decision explicit.

Example 3: Planning only

  • Prompt: “Help me break this migration into phases and get sign-off before any code is written.”
  • Expected behavior: route to task-planning or plannotator, because the board is premature.

Example 4: Marketing board

  • Prompt: “I need a board for content calendar approvals and launch copy revisions.”
  • Expected behavior: route to marketing-automation or PM/content workflow skills, because vibe-kanban is for coding workspaces, diffs, and PR handoff.

Example 5: Tracker-linked coding board

  • Prompt: “Keep GitHub Projects as the source of truth, but open a coding board for three worktree-isolated feature cards and hand each finished card to PR review.”
  • Expected behavior: keep the tracker canonical, use vibe-kanban for coding execution state, and preserve explicit cleanup/PR handoff.

Best practices

  1. Keep one bounded coding outcome per card.
  2. Treat GitHub Projects / Linear / Jira as external trackers, not proof that a coding board is unnecessary.
  3. Limit active cards to what one reviewer can realistically absorb.
  4. Preserve retry decisions and comments somewhere durable.
  5. Prefer board-then-PR for fast iteration on shared repos.
  6. Clean up worktrees, branches, and preview servers as part of the workflow.
  7. Route PM, marketing, and non-code game-production boards away early.

References

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.77%
按下载量换算234

Claude

28.66%
按下载量换算193

Cursor

19.73%
按下载量换算133

Gemini CLI

9.39%
按下载量换算63

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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