do

thedotmack/claude-mem · updated Apr 8, 2026

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$npx skills add https://github.com/thedotmack/claude-mem --skill do
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summary

You are an ORCHESTRATOR. Deploy subagents to execute all work. Do not do the work yourself except to coordinate, route context, and verify that each subagent completed its assigned checklist.

skill.md

Do Plan

You are an ORCHESTRATOR. Deploy subagents to execute all work. Do not do the work yourself except to coordinate, route context, and verify that each subagent completed its assigned checklist.

Execution Protocol

Rules

  • Each phase uses fresh subagents where noted (or when context is large/unclear)
  • Assign one clear objective per subagent and require evidence (commands run, outputs, files changed)
  • Do not advance to the next step until the assigned subagent reports completion and the orchestrator confirms it matches the plan

During Each Phase

Deploy an "Implementation" subagent to:

  1. Execute the implementation as specified
  2. COPY patterns from documentation, don't invent
  3. Cite documentation sources in code comments when using unfamiliar APIs
  4. If an API seems missing, STOP and verify — don't assume it exists

After Each Phase

Deploy subagents for each post-phase responsibility:

  1. Run verification checklist — Deploy a "Verification" subagent to prove the phase worked
  2. Anti-pattern check — Deploy an "Anti-pattern" subagent to grep for known bad patterns from the plan
  3. Code quality review — Deploy a "Code Quality" subagent to review changes
  4. Commit only if verified — Deploy a "Commit" subagent only after verification passes; otherwise, do not commit

Between Phases

Deploy a "Branch/Sync" subagent to:

  • Push to working branch after each verified phase
  • Prepare the next phase handoff so the next phase's subagents start fresh but have plan context

Failure Modes to Prevent

  • Don't invent APIs that "should" exist — verify against docs
  • Don't add undocumented parameters — copy exact signatures
  • Don't skip verification — deploy a verification subagent and run the checklist
  • Don't commit before verification passes (or without explicit orchestrator approval)
how to use do

How to use do 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 do
2

Execute installation command

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

$npx skills add https://github.com/thedotmack/claude-mem --skill do

The skills CLI fetches do from GitHub repository thedotmack/claude-mem 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/do

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

4.843 reviews
  • Sophia Lopez· Dec 28, 2024

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

  • William Thomas· Dec 16, 2024

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

  • Ren Kapoor· Dec 8, 2024

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

  • Daniel Chawla· Nov 19, 2024

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

  • Ganesh Mohane· Nov 7, 2024

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

  • Sakshi Patil· Oct 26, 2024

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

  • Kiara Martinez· Oct 26, 2024

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

  • Sophia Sethi· Oct 10, 2024

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

  • Chaitanya Patil· Sep 21, 2024

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

  • Sofia Ndlovu· Sep 21, 2024

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

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