plan — community local-life-manager, community, ide skills, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Perfect for Task Management Agents needing structured project planning and workflow optimization. A customizable life management framework for Claude Code - skills, agents, and workflows for personal productivity

TaylorHuston TaylorHuston
[0]
[0]
Updated: 3/5/2026

Agent Capability Analysis

The plan skill by TaylorHuston is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance.

Ideal Agent Persona

Perfect for Task Management Agents needing structured project planning and workflow optimization.

Core Value

Empowers agents to create customizable life management frameworks with phase-based breakdowns for tasks, spikes, and bugs, utilizing Markdown files like PLAN.md and integrating with command-line interfaces like Gemini CLI for peer review and second opinions.

Capabilities Granted for plan

Automating project planning with issue type detection
Generating exploration plans for spikes
Creating peer review workflows with second opinions

! Prerequisites & Limits

  • Requires command-line interface access
  • Limited to Markdown file creation
  • Project detection relies on auto-detection or explicit project specification
Labs Demo

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Boot Container Sandbox

plan

Install plan, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
Readonly

/plan

Create PLAN.md with phase-based breakdown for tasks, spikes, and bugs.

Usage

bash
1/plan 001 # Create plan for issue 001 (auto-detect project) 2/plan 001 --project coordinatr # Explicit project 3/plan SPIKE-003 # Plan for a spike (creates exploration plans) 4/plan 003 --second-opinion # Get peer review from Gemini CLI before finalizing

Issue Type Detection

Issue TypePlan StructureFile Created
Task (TASK.md)Sequential phases with checkpointsPLAN.md
Bug (BUG.md)Investigation → Fix phasesPLAN.md
Spike (SPIKE.md)Exploration phases per approachPLAN-1.md, PLAN-2.md, ...

Execution Flow

For Task/Bug

  1. Load Context:

    bash
    1Read: ideas/[project]/issues/###-*/TASK.md (or BUG.md) 2Read: spaces/[project]/docs/specs/*.md (if implements: field exists) 3Glob: spaces/[project]/docs/adrs/ADR-*.md 4Glob: resources/research/*.md

    If the issue has an implements: field, load that specific spec section:

    bash
    1Read: spaces/[project]/docs/specs/required-features.md # Extract relevant section
  2. Cross-Project Pattern Search:

    bash
    1# Search other projects for similar implementations 2Grep: spaces/*/src/ for relevant patterns

    Include relevant references in plan:

    markdown
    1## Related Implementations 2 3Found similar patterns in other projects: 4- `spaces/yourbench/src/auth/clerk.ts` - Clerk auth setup 5- `spaces/coordinatr/src/lib/session.ts` - Session handling
  3. Library Documentation (automatic for integrations):

    MANDATORY when task involves:

    • Installing/configuring external libraries or SDKs
    • Framework integrations (auth providers, databases, APIs)
    • Third-party services (Clerk, Stripe, AWS services, etc.)

    Process:

    bash
    1# 1. Resolve library ID 2mcp__context7__resolve-library-id: {libraryName} 3 4# 2. Fetch current documentation 5mcp__context7__query-docs: {context7CompatibleLibraryID} 6 7# 3. Search for recent patterns/best practices 8WebSearch: "{library} {framework} integration 2026"

    Document findings:

    markdown
    1## Library Documentation Validation 2 3**{Library Name}** (validated YYYY-MM-DD): 4- Current version: X.Y.Z 5- Key integration patterns: [summary] 6- Recommended approach: [based on current docs]
  4. Generate Plan:

    • Break work into logical phases
    • Each phase has clear deliverables
    • Include checkpoints between phases
    • Add "Done When" criteria
  5. Write PLAN.md:

    • Present phases, estimated effort, dependencies
    • Include "Library Documentation Validation" section (if applicable)
    • Include "Second Opinion Analysis" section (if requested)
  6. Commit Suggestion:

    • Ask: "Commit PLAN.md to ideas repo? (yes/no)"

For Spike (Exploration)

  1. Load Context: Read SPIKE.md (questions, success criteria, time box)

  2. Gather Approaches:

    • Ask: "How many approaches to explore?" → N
    • For each: "Describe approach N?"
  3. Generate: Create PLAN-N.md for each approach

  4. Commit Suggestion: Ask to commit all plan files

Task Plan Example

markdown
1# Implementation Plan: 001 Research Auth Patterns 2 3## Overview 4Research authentication patterns for Coordinatr's multi-tenant architecture. 5 6## Phase 1: Survey Existing Solutions 7 8### 1.1 - Research Auth Libraries 9- [ ] Review Better Auth documentation 10- [ ] Compare with Auth.js and Lucia 11- [ ] Document trade-offs 12 13### 1.2 - Multi-Tenant Patterns 14- [ ] Research team-based auth patterns 15- [ ] Review how Slack, Linear handle it 16- [ ] [CHECKPOINT] Summary document complete 17 18## Phase 2: Architecture Proposal 19 20### 2.1 - Draft Architecture 21- [ ] Create architecture diagram 22- [ ] Document token strategy 23- [ ] Define permission model 24 25### 2.2 - Review 26- [ ] Self-critique against requirements 27- [ ] [CHECKPOINT] Architecture doc complete 28 29## Done When 30- [ ] Auth library recommendation documented 31- [ ] Architecture proposal in ideas/coordinatr/docs/ 32- [ ] Trade-offs and risks identified

Second Opinion Feature

What: Optional peer review from Gemini CLI before finalizing plans.

Usage: Pass --second-opinion flag to trigger Gemini review with Context7 validation.

Process:

  1. Send plan to Gemini CLI for review
  2. Validate each recommendation against Context7 docs
  3. Claude makes final decision on each:
    • ACCEPT: Recommendation validated AND improves plan
    • ⚠️ MODIFY: Good idea but needs adjustment
    • REJECT: Invalid or not applicable
  4. Document all decisions in "Second Opinion Analysis" section

Requirements:

  • Gemini CLI installed and functional
  • --second-opinion flag explicitly passed

Graceful degradation: If Gemini unavailable, proceeds with Claude-only plan.

Workflow

/spec → /issue → /plan {ID} → (work phases) → /complete {ID}
                    ↓
          Load spec section from implements: field

Creates:

  • Task/Bug: ideas/{project}/issues/###-*/PLAN.md
  • Spike: ideas/{project}/issues/###-*/PLAN-1.md, PLAN-2.md, etc.

FAQ & Installation Steps

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

? Frequently Asked Questions

What is plan?

Perfect for Task Management Agents needing structured project planning and workflow optimization. A customizable life management framework for Claude Code - skills, agents, and workflows for personal productivity

How do I install plan?

Run the command: npx killer-skills add TaylorHuston/local-life-manager. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for plan?

Key use cases include: Automating project planning with issue type detection, Generating exploration plans for spikes, Creating peer review workflows with second opinions.

Which IDEs are compatible with plan?

This skill is compatible with 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. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for plan?

Requires command-line interface access. Limited to Markdown file creation. Project detection relies on auto-detection or explicit project specification.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add TaylorHuston/local-life-manager. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use plan immediately in the current project.

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