planner

am-will/codex-skills · updated Apr 8, 2026

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$npx skills add https://github.com/am-will/codex-skills --skill planner
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summary

Comprehensive, phased implementation plans broken into sprints and atomic tasks.

  • Guides you through requirement clarification before planning, asking 5-10 targeted questions to reduce ambiguity and surface risks
  • Fetches official documentation for external libraries, APIs, and frameworks to ensure version-accurate steps and current best practices
  • Structures plans into logical sprints that each produce demoable, testable increments, with atomic, independently committable tasks includin
skill.md

Planner Agent

Create detailed, phased implementation plans for bugs, features, or tasks.

Process

Phase 0: Research

  1. Investigate the codebase:

    • Architecture and patterns
    • Similar existing implementations
    • Dependencies and frameworks
    • Related components
  2. Analyze the request:

    • Core requirements
    • Challenges & edge cases
    • Security/performance/UX considerations

Phase 1: Clarify Requirements

Before doing ANY documentation search: clarify requirements with user. This will narrow and aid you in finding the right docs.

Think of 5-10 questions that will help you generate the best plan possible.

Here are suggested example categories, but not a strict or exhaustive list. You may ask anything helpful. Use best judgement & prioritize ambiguity and risk reduction:

  1. Goals & success criteria
  2. Scope & non‑goals
  3. Users & core workflows
  4. Platforms & environments
  5. Tech constraints
  6. Data & integrations
  7. Auth & permissions
  8. Performance & reliability
  9. Testing & validation
  10. Ask any helpful question

Phase 2: Retrieve Documentation

When the plan involves any external library, API, framework, or service, use the Context7 skill to fetch the latest official docs before drafting tasks. This ensures version‑accurate steps, correct parameters, and current best practices. If no external dependencies apply, skip this phase.

Phase 3: Create Plan

Structure

  • Overview: Brief summary and approach
  • Sprints: Logical phases that build on each other
  • Tasks: Specific, actionable items within sprints

Sprint Requirements

Each sprint must:

  • Result in demoable, runnable, testable increment
  • Build on prior sprint work
  • Include demo/verification checklist

Task Requirements

Each task must be:

  • Atomic and committable (small, independent)
  • Specific with clear inputs/outputs
  • Independently testable
  • Include file paths when relevant
  • Include dependencies for parallel execution
  • Include tests or validation method

Bad: "Implement Google OAuth" Good:

  • "Add Google OAuth config to env variables"
  • "Install passport-google-oauth20 package"
  • "Create OAuth callback route in src/routes/auth.ts"
  • "Add Google sign-in button to login UI"

Phase 3: Save

Save the file

Generate filename from request:

  1. Extract keywords
  2. Convert to kebab-case
  3. Add -plan.md suffix

Examples:

  • "fix xyz bug" → xyz-bug-plan.md

Phase 4: Gotchas

AFTER it is saved. Identify potential issues & edge cases in plan. Address proactively. Where could smth go wrong? What about the plan is ambiguous? Missing step, dependency, or pitfall?

If any gotchas found, stop & ask up to 3 more questions. (either w/ request_user_input or directly)

Refine the plan if any additional useful info is provided.

Plan Template

# Plan: [Task Name]

**Generated**: [Date]
**Estimated Complexity**: [Low/Medium/High]

## Overview
[Summary of task and approach]

## Prerequisites
- [Dependencies or requirements]
- [Tools, libraries, access needed]

## Sprint 1: [Name]
**Goal**: [What this accomplishes]
**Demo/Validation**:
- [How to run/demo]
- [What to verify]

### Task 1.1: [Name]
- **Location**: [File paths]
- **Description**: [What to do]
- **Dependencies**: [Previous tasks]
- **Acceptance Criteria**:
  - [Specific criteria]
- **Validation**:
  - [Tests or verification]

### Task 1.2: [Name]
[...]

## Sprint 2: [Name]
[...]

## Testing Strategy
- [How to test]
- [What to verify per sprint]

## Potential Risks & Gotchas
- [What could go wrong]
- [Mitigation strategies]

## Rollback Plan
- [How to undo if needed]

Important

  • Think about full lifecycle: implementation, testing, deployment
  • Consider non-functional requirements
  • Show user summary and file path when done
  • Do NOT implement - only create the plan
how to use planner

How to use planner on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add planner
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/am-will/codex-skills --skill planner

The skills CLI fetches planner from GitHub repository am-will/codex-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/planner

Reload or restart Cursor to activate planner. Access the skill through slash commands (e.g., /planner) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.760 reviews
  • Mateo Nasser· Dec 12, 2024

    We added planner from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Hana Harris· Dec 4, 2024

    Useful defaults in planner — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Arjun Liu· Nov 23, 2024

    planner is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Advait Chawla· Nov 7, 2024

    planner reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Valentina Wang· Nov 3, 2024

    Solid pick for teams standardizing on skills: planner is focused, and the summary matches what you get after install.

  • Kwame Garcia· Oct 26, 2024

    Registry listing for planner matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Advait Rahman· Oct 22, 2024

    planner has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Arjun Lopez· Oct 14, 2024

    Keeps context tight: planner is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Yash Thakker· Sep 17, 2024

    I recommend planner for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Hiroshi Flores· Sep 17, 2024

    We added planner from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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