plan — community agent-sandbox, community, ide skills, Claude Code, Cursor, Windsurf

v1.0.0

关于此技能

Secure local dev environment for AI agent collaboration

mattolson mattolson
[163]
[15]
更新于: 4/14/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 1/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Review Score
1/11
Quality Score
44
Canonical Locale
en
Detected Body Locale
en

Secure local dev environment for AI agent collaboration

核心价值

Secure local dev environment for AI agent collaboration

适用 Agent 类型

Suitable for operator workflows that need explicit guardrails before installation and execution.

赋予的主要能力 · plan

! 使用限制与门槛

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The page lacks a strong recommendation layer.
  • - The page lacks concrete use-case guidance.
  • - The page lacks explicit limitations or caution signals.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

实验室 Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

常见问题与安装步骤

以下问题与步骤与页面结构化数据保持一致,便于搜索引擎理解页面内容。

? FAQ

plan 是什么?

Secure local dev environment for AI agent collaboration

如何安装 plan?

运行命令:npx killer-skills add mattolson/agent-sandbox/plan。支持 Cursor、Windsurf、VS Code、Claude Code 等 19+ IDE/Agent。

plan 支持哪些 IDE 或 Agent?

该技能兼容 Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer。可使用 Killer-Skills CLI 一条命令通用安装。

安装步骤

  1. 1. 打开终端

    在你的项目目录中打开终端或命令行。

  2. 2. 执行安装命令

    运行:npx killer-skills add mattolson/agent-sandbox/plan。CLI 会自动识别 IDE 或 AI Agent 并完成配置。

  3. 3. 开始使用技能

    plan 已启用,可立即在当前项目中调用。

! 参考页模式

此页面仍可作为安装与查阅参考,但 Killer-Skills 不再把它视为主要可索引落地页。请优先阅读上方评审结论,再决定是否继续查看上游仓库说明。

Imported Repository Instructions

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

Supporting Evidence

plan

安装 plan,这是一款面向AI agent workflows and automation的 AI Agent Skill。支持 Claude Code、Cursor、Windsurf,一键安装。

SKILL.md
Readonly
Imported Repository Instructions
The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.
Supporting Evidence

Planning System

This is a three-tier planning system for iterative project development. Each tier produces artifacts that inform the next.

The Three Tiers

Tier 1: Project Planning

High-level planning done once at project start. Defines goals, approach, architecture, and milestones.

  • Output: docs/plan/project.md
  • Produces: List of milestones with identifiers (e.g., m1-auth, m2-dashboard)

Tier 2: Milestone Planning

Done at the start of each milestone. Breaks the milestone into discrete tasks.

  • Input: Project plan
  • Output: docs/plan/milestones/{milestone}/milestone.md
  • Produces: List of tasks with identifiers (e.g., m1.1-login-form, m1.2-signup-flow)

Tier 3: Task Planning

Done at the start of each task. Plans implementation, tracks execution, captures learnings.

  • Input: Milestone plan + accumulated learnings
  • Output: docs/plan/milestones/{milestone}/tasks/{task}/task.md
  • Also appends to: docs/plan/learnings.md

Naming Convention

  • Milestones: m{number}-{name} (e.g., m1-auth, m2-dashboard)
  • Tasks: m{milestone}.{task}-{name} (e.g., m1.1-login-form, m1.2-signup-flow)

File Structure

docs/plan/
├── project.md              # Tier 1 output - goals, architecture, milestones
├── learnings.md            # Accumulated learnings from all tasks
├── decisions/
│   ├── 001-switch-to-graphql.md
│   └── 002-defer-analytics.md
└── milestones/
    ├── m1-auth/
    │   ├── milestone.md    # Tier 2 output - milestone plan and task list
    │   ├── {milestone-level artifacts}
    │   └── tasks/
    │       ├── m1.1-login-form/
    │       │   ├── task.md
    │       │   └── {task artifacts}
    │       └── m1.2-signup-flow/
    │           └── task.md
    └── m2-dashboard/
        ├── milestone.md
        └── tasks/
            └── m2.1-user-profile/
                └── task.md

Learnings and Decisions

Planning is imperfect. As work progresses, we discover things we didn't anticipate and make decisions that change the plan.

Learnings

Lessons learned during execution that inform future planning. Captured in docs/plan/learnings.md. These may be technical or process-related.

Technical examples:

  • "API rate limits are lower than documented, need to batch requests"
  • "Integration tests take 5 minutes, run selectively during development"
  • "The auth library doesn't support refresh tokens out of the box"

Process examples:

  • "Breaking tasks into half-day chunks improved estimation accuracy"
  • "Spiking unfamiliar APIs before planning saved rework"
  • "Pairing on complex integrations caught issues earlier"

Learnings are reviewed at the start of each planning session.

Decisions

Significant changes to the plan, recorded as individual documents in docs/plan/decisions/.

When a decision changes the plan:

  1. Update the affected plan document (project.md, milestone.md) to reflect current state
  2. Create a decision record documenting the change and rationale

Decision document format:

markdown
1# {Number}: {Title} 2 3## Status 4 5{Proposed | Accepted | Superseded by XXX} 6 7## Context 8 9{What situation prompted this decision?} 10 11## Decision 12 13{What are we changing?} 14 15## Rationale 16 17{Why this approach over alternatives?} 18 19## Consequences 20 21{What changes as a result? What are the tradeoffs?}

Decisions are numbered sequentially: 001-switch-to-graphql.md, 002-defer-analytics.md.

Workflow

This is a conversational process. Describe your intent and I will:

  1. Identify which planning tier applies
  2. Look up relevant identifiers from existing plans
  3. Guide you through the appropriate planning process

Examples:

  • "Let's plan a new project" → Tier 1 project planning
  • "Let's start the auth milestone" → I look up the milestone in project.md, begin tier 2 planning
  • "Ready to work on login" → I find the task in the milestone plan, begin tier 3 planning

Learnings from each completed task feed into future task planning. When discoveries require plan changes, we update the plan and record a decision.

Getting Started

Describe what you want to work on:

  • Starting a new initiative? We'll do project planning.
  • Ready to begin a milestone? Tell me which one.
  • Ready to implement a task? Tell me what you're building.

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