Plan

m1-auth

v1.0.0

Über diesen Skill

Install Plan, an AI agent skill for AI agent workflows and automation. Explore features, use cases, limitations, and setup guidance.

Funktionen

Tier 1: Project Planning
High-level planning done once at project start. Defines goals, approach, architecture, and
Output: docs/plan/project.md
Produces: List of milestones with identifiers (e.g., m1-auth, m2-dashboard)
Tier 2: Milestone Planning

# Kernthemen

telepathykat telepathykat
[0]
[0]
Aktualisiert: 3/6/2026

Skill Overview

Start with fit, limitations, and setup before diving into the repository.

Install Plan, an AI agent skill for AI agent workflows and automation. Explore features, use cases, limitations, and setup guidance.

Warum diese Fähigkeit verwenden

Empfehlung: plan helps agents tier 1: project planning. Secure local dev environment for AI agent collaboration # Planning System This is a three-tier planning system for iterative project development.

Am besten geeignet für

Geeigneter Einsatz: tier 1: project planning.

Handlungsfähige Anwendungsfälle for Plan

Anwendungsfall: Tier 1: Project Planning
Anwendungsfall: High-level planning done once at project start. Defines goals, approach, architecture, and
Anwendungsfall: Output: docs/plan/project.md

! Sicherheit & Einschränkungen

  • Einschraenkung: "API rate limits are lower than documented, need to batch requests"
  • Einschraenkung: Requires repository-specific context from the skill documentation
  • Einschraenkung: Works best when the underlying tools and dependencies are already configured

About The Source

The section below is adapted from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Labs-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

FAQ und Installationsschritte

These questions and steps mirror the structured data on this page for better search understanding.

? Häufige Fragen

Was ist Plan?

Install Plan, an AI agent skill for AI agent workflows and automation. Explore features, use cases, limitations, and setup guidance.

Wie installiere ich Plan?

Führen Sie den Befehl aus: npx killer-skills add telepathykat/agent-sandbox. Er funktioniert mit Cursor, Windsurf, VS Code, Claude Code und mehr als 19 weiteren IDEs.

Wofür kann ich Plan verwenden?

Wichtige Einsatzbereiche sind: Anwendungsfall: Tier 1: Project Planning, Anwendungsfall: High-level planning done once at project start. Defines goals, approach, architecture, and, Anwendungsfall: Output: docs/plan/project.md.

Welche IDEs sind mit Plan kompatibel?

Dieser Skill ist mit 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 kompatibel. Nutzen Sie die Killer-Skills CLI für eine einheitliche Installation.

Gibt es Einschränkungen bei Plan?

Einschraenkung: "API rate limits are lower than documented, need to batch requests". Einschraenkung: Requires repository-specific context from the skill documentation. Einschraenkung: Works best when the underlying tools and dependencies are already configured.

So installieren Sie den Skill

  1. 1. Terminal öffnen

    Öffnen Sie Ihr Terminal oder die Kommandozeile im Projektverzeichnis.

  2. 2. Installationsbefehl ausführen

    Führen Sie aus: npx killer-skills add telepathykat/agent-sandbox. Die CLI erkennt Ihre IDE oder Ihren Agenten automatisch und richtet den Skill ein.

  3. 3. Skill verwenden

    Der Skill ist jetzt aktiv. Ihr KI-Agent kann Plan sofort im aktuellen Projekt verwenden.

! Source Notes

This page is still useful for installation and source reference. Before using it, compare the fit, limitations, and upstream repository notes above.

Upstream Repository Material

The section below is adapted from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Upstream Source

Plan

Install Plan, an AI agent skill for AI agent workflows and automation. Explore features, use cases, limitations, and setup guidance.

SKILL.md
Readonly
Upstream Repository Material
The section below is adapted from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.
Upstream Source

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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