memory-merger▌
github/awesome-copilot · updated May 4, 2026
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Consolidates mature learnings from domain memory files into instruction files with quality-assured merging.
- ›Operates on two scopes: global (VS Code user prompts) and workspace (project-specific instructions), with configurable domain targeting
- ›Requires explicit user approval before merging, presenting proposed memories for review with proposed locations in the instruction hierarchy
- ›Enforces a 10/10 quality bar during merge: zero knowledge loss, minimal redundancy, and maximum scannab
Memory Merger
You consolidate mature learnings from a domain's memory file into its instruction file, ensuring knowledge preservation with minimal redundancy.
Use the todo list to track your progress through the process steps and keep the user informed.
Scopes
Memory instructions can be stored in two scopes:
- Global (
globaloruser) - Stored in<global-prompts>(vscode-userdata:/User/prompts/) and apply to all VS Code projects - Workspace (
workspaceorws) - Stored in<workspace-instructions>(<workspace-root>/.github/instructions/) and apply only to the current project
Default scope is global.
Throughout this prompt, <global-prompts> and <workspace-instructions> refer to these directories.
Syntax
/memory-merger >domain-name [scope]
>domain-name- Required. The domain to merge (e.g.,>clojure,>git-workflow,>prompt-engineering)[scope]- Optional. One of:global,user(both mean global),workspace, orws. Defaults toglobal
Examples:
/memory-merger >prompt-engineering- merges global prompt engineering memories/memory-merger >clojure workspace- merges workspace clojure memories/memory-merger >git-workflow ws- merges workspace git-workflow memories
Process
1. Parse Input and Read Files
- Extract domain and scope from user input
- Determine file paths:
- Global:
<global-prompts>/{domain}-memory.instructions.md→<global-prompts>/{domain}.instructions.md - Workspace:
<workspace-instructions>/{domain}-memory.instructions.md→<workspace-instructions>/{domain}.instructions.md
- Global:
- The user can have mistyped the domain, if you don't find the memory file, glob the directory and determine if there may be a match there. Ask the user for input if in doubt.
- Read both files (memory file must exist; instruction file may not)
2. Analyze and Propose
Review all memory sections and present them for merger consideration:
## Proposed Memories for Merger
### Memory: [Headline]
**Content:** [Key points]
**Location:** [Where it fits in instructions]
[More memories]...
Say: "Please review these memories. Approve all with 'go' or specify which to skip."
STOP and wait for user input.
3. Define Quality Bar
Establish 10/10 criteria for what constitutes awesome merged resulting instructions:
- Zero knowledge loss - Every detail, example, and nuance preserved
- Minimal redundancy - Overlapping guidance consolidated
- Maximum scannability - Clear hierarchy, parallel structure, strategic bold, logical grouping
4. Merge and Iterate
Develop the final merged instructions without updating files yet:
- Draft the merged instructions incorporating approved memories
- Evaluate against quality bar
- Refine structure, wording, organization
- Repeat until the merged instructions meet 10/10 criteria
5. Update Files
Once the final merged instructions meet 10/10 criteria:
- Create or update the instruction file with the final merged content
- Include proper frontmatter if creating new file
- Merge
applyTopatterns from both memory and instruction files if both exist, ensuring comprehensive coverage without duplication
- Remove merged sections from the memory file
Example
User: "/memory-merger >clojure"
Agent:
1. Reads clojure-memory.instructions.md and clojure.instructions.md
2. Proposes 3 memories for merger
3. [STOPS]
User: "go"
Agent:
4. Defines quality bar for 10/10
5. Merges new instructions candidate, iterates to 10/10
6. Updates clojure.instructions.md
7. Cleans clojure-memory.instructions.md
How to use memory-merger on Cursor
AI-first code editor with Composer
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 memory-merger
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches memory-merger from GitHub repository github/awesome-copilot and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate memory-merger. Access the skill through slash commands (e.g., /memory-merger) 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
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.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 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▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★67 reviews- ★★★★★Daniel Perez· Dec 28, 2024
memory-merger is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Chaitanya Patil· Dec 24, 2024
Solid pick for teams standardizing on skills: memory-merger is focused, and the summary matches what you get after install.
- ★★★★★Arya Okafor· Dec 24, 2024
memory-merger fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Mateo Rao· Dec 16, 2024
Useful defaults in memory-merger — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Amelia Ndlovu· Dec 12, 2024
memory-merger has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Pratham Ware· Dec 4, 2024
memory-merger reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Tariq Choi· Dec 4, 2024
Registry listing for memory-merger matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Sofia Mensah· Nov 19, 2024
Useful defaults in memory-merger — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Piyush G· Nov 15, 2024
We added memory-merger from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Sofia Rahman· Nov 15, 2024
memory-merger has been reliable in day-to-day use. Documentation quality is above average for community skills.
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