You are an ORCHESTRATOR. Create an LLM-friendly plan in phases that can be executed consecutively in new chat contexts.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionmake-planExecute the skills CLI command in your project's root directory to begin installation:
Fetches make-plan from thedotmack/claude-mem and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate make-plan. Access via /make-plan in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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You are an ORCHESTRATOR. Create an LLM-friendly plan in phases that can be executed consecutively in new chat contexts.
Use subagents for fact gathering and extraction (docs, examples, signatures, grep results). Keep synthesis and plan authoring with the orchestrator (phase boundaries, task framing, final wording). If a subagent report is incomplete or lacks evidence, re-check with targeted reads/greps before finalizing.
Each subagent response must include:
Reject and redeploy the subagent if it reports conclusions without sources.
Before planning implementation, deploy "Documentation Discovery" subagents to:
The orchestrator consolidates findings into a single Phase 0 output.
Make data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
mattpocock/skills
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
We added make-plan from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
make-plan is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
make-plan reduced setup friction for our internal harness; good balance of opinion and flexibility.
make-plan reduced setup friction for our internal harness; good balance of opinion and flexibility.
Solid pick for teams standardizing on skills: make-plan is focused, and the summary matches what you get after install.
I recommend make-plan for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
I recommend make-plan for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: make-plan is the kind of skill you can hand to a new teammate without a long onboarding doc.
make-plan fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added make-plan from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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