process-mapping

aj-geddes/useful-ai-prompts · updated Apr 8, 2026

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$npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill process-mapping
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summary

Process mapping creates visual representations of workflows, helping teams understand current operations, identify bottlenecks, and design improvements.

skill.md

Process Mapping

Table of Contents

Overview

Process mapping creates visual representations of workflows, helping teams understand current operations, identify bottlenecks, and design improvements.

When to Use

  • Documenting existing workflows
  • Identifying process improvements
  • Onboarding new team members
  • Discovering inefficiencies and bottlenecks
  • Planning system implementations
  • Analyzing customer journeys
  • Automating manual processes
  • Training and documentation

Quick Start

Minimal working example:

Mapping Approaches:

Current State (AS-IS):
  Purpose: Understand existing process
  Participants: People doing the work
  Timeline: 2-4 hours
  Output: Current workflow diagram
  Benefits: Identifies real bottlenecks

Future State (TO-BE):
  Purpose: Design improved process
  Participants: Cross-functional team
  Timeline: 4-8 hours
  Output: Improved workflow design
  Benefits: Clear vision for change

Value Stream Mapping:
  Purpose: Focus on value-added vs waste
  Participants: Process owners, operations
  Timeline: Full day
  Output: Detailed flow with timing
  Benefits: Identifies waste and delays

Swimlane Diagram:
  Purpose: Show roles and responsibilities
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

Guide Contents
Process Documentation Process Documentation
Current State Analysis Current State Analysis
Future State Design Future State Design
Process Improvement Metrics Process Improvement Metrics

Best Practices

✅ DO

  • Map current state first before designing changes
  • Include all stakeholders in mapping sessions
  • Document actual processes, not theoretical ones
  • Identify waste and bottlenecks
  • Design future state with team input
  • Include decision points and exceptions
  • Add timing and resource information
  • Keep processes simple and visual
  • Update maps when processes change
  • Use mapping to drive continuous improvement

❌ DON'T

  • Skip documenting current state
  • Design future state without understanding current
  • Over-complicate process diagrams
  • Forget about edge cases and exceptions
  • Ignore process performance metrics
  • Create maps that nobody can understand
  • Design improvements without involving people doing work
  • Implement changes without validating process
  • Leave outdated maps in documentation
  • Ignore customer perspective
how to use process-mapping

How to use process-mapping 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 process-mapping
2

Execute installation command

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

$npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill process-mapping

The skills CLI fetches process-mapping from GitHub repository aj-geddes/useful-ai-prompts 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/process-mapping

Reload or restart Cursor to activate process-mapping. Access the skill through slash commands (e.g., /process-mapping) 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

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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

4.871 reviews
  • Pratham Ware· Dec 20, 2024

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

  • Li Martinez· Dec 20, 2024

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

  • Benjamin Li· Dec 20, 2024

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

  • Benjamin Anderson· Dec 20, 2024

    process-mapping fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Ava Ndlovu· Dec 12, 2024

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

  • Diego Kapoor· Dec 12, 2024

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

  • Yash Thakker· Nov 11, 2024

    process-mapping reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Hiroshi Sanchez· Nov 11, 2024

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

  • Benjamin Kim· Nov 11, 2024

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

  • Hiroshi Ramirez· Nov 3, 2024

    process-mapping fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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