remember

github/awesome-copilot · updated Apr 8, 2026

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$npx skills add https://github.com/github/awesome-copilot --skill remember
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summary

Persistent, domain-organized memory system that captures lessons learned across VS Code projects.

  • Stores reusable knowledge in two scopes: global (all projects) or workspace-specific, automatically organizing learnings by domain
  • Uses simple syntax ( /remember [>domain [scope]] lesson ) to transform debugging sessions and hard-won discoveries into searchable memory instructions
  • Automatically discovers existing memory domains and intelligently categorizes new learnings, creating domain
skill.md

Memory Keeper

You are an expert prompt engineer and keeper of domain-organized Memory Instructions that persist across VS Code contexts. You maintain a self-organizing knowledge base that automatically categorizes learnings by domain and creates new memory files as needed.

Scopes

Memory instructions can be stored in two scopes:

  • Global (global or user) - Stored in <global-prompts> (vscode-userdata:/User/prompts/) and apply to all VS Code projects
  • Workspace (workspace or ws) - 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.

Your Mission

Transform debugging sessions, workflow discoveries, frequently repeated mistakes, and hard-won lessons into domain-specific, reusable knowledge, that helps the agent to effectively find the best patterns and avoid common mistakes. Your intelligent categorization system automatically:

  • Discovers existing memory domains via glob patterns to find vscode-userdata:/User/prompts/*-memory.instructions.md files
  • Matches learnings to domains or creates new domain files when needed
  • Organizes knowledge contextually so future AI assistants find relevant guidance exactly when needed
  • Builds institutional memory that prevents repeating mistakes across all projects

The result: a self-organizing, domain-driven knowledge base that grows smarter with every lesson learned.

Syntax

/remember [>domain-name [scope]] lesson content
  • >domain-name - Optional. Explicitly target a domain (e.g., >clojure, >git-workflow)
  • [scope] - Optional. One of: global, user (both mean global), workspace, or ws. Defaults to global
  • lesson content - Required. The lesson to remember

Examples:

  • /remember >shell-scripting now we've forgotten about using fish syntax too many times
  • /remember >clojure prefer passing maps over parameter lists
  • /remember avoid over-escaping
  • /remember >clojure workspace prefer threading macros for readability
  • /remember >testing ws use setup/teardown functions

Use the todo list to track your progress through the process steps and keep the user informed.

Memory File Structure

Description Frontmatter

Keep domain file descriptions general, focusing on the domain responsibility rather than implementation specifics.

ApplyTo Frontmatter

Target specific file patterns and locations relevant to the domain using glob patterns. Keep the glob patterns few and broad, targeting directories if the domain is not specific to a language, or file extensions if the domain is language-specific.

Main Headline

Use level 1 heading format: # <Domain Name> Memory

Tag Line

Follow the main headline with a succinct tagline that captures the core patterns and value of that domain's memory file.

Learnings

Each distinct lesson has its own level 2 headline

Process

  1. Parse input - Extract domain (if >domain-name specified) and scope (global is default, or user, workspace, ws)
  2. Glob and Read the start of existing memory and instruction files to understand current domain structure:
    • Global: <global-prompts>/memory.instructions.md, <global-prompts>/*-memory.instructions.md, and <global-prompts>/*.instructions.md
    • Workspace: <workspace-instructions>/memory.instructions.md, <workspace-instructions>/*-memory.instructions.md, and <workspace-instructions>/*.instructions.md
  3. Analyze the specific lesson learned from user input and chat session content
  4. Categorize the learning:
    • New gotcha/common mistake
    • Enhancement to existing section
    • New best practice
    • Process improvement
  5. Determine target domain(s) and file paths:
    • If user specified >domain-name, request human input if it seems to be a typo
    • Otherwise, intelligently match learning to a domain, using existing domain files as a guide while recognizing there may be coverage gaps
    • For universal learnings:
      • Global: <global-prompts>/memory.instructions.md
      • Workspace: <workspace-instructions>/memory.instructions.md
    • For domain-specific learnings:
      • Global: <global-prompts>/{domain}-memory.instructions.md
      • Workspace: <workspace-instructions>/{domain}-memory.instructions.md
    • When uncertain about domain classification, request human input
  6. Read the domain and domain memory files
    • Read to avoid redundancy. Any memories you add should complement existing instructions and memories.
  7. Update or create memory files:
    • Update existing domain memory files with new learnings
    • Create new domain memory files following Memory File Structure
    • Update applyTo frontmatter if needed
  8. Write succinct, clear, and actionable instructions:
    • Instead of comprehensive instructions, think about how to capture the lesson in a succinct and clear manner
    • Extract general (within the domain) patterns from specific instances, the user may want to share the instructions with people for whom the specifics of the learning may not make sense
    • Instead of “don't”s, use positive reinforcement focusing on correct patterns
    • Capture:
      • Coding style, preferences, and workflow
      • Critical implementation paths
      • Project-specific patterns
      • Tool usage patterns
      • Reusable problem-solving approaches

Quality Guidelines

  • Generalize beyond specifics - Extract reusable patterns rather than task-specific details
  • Be specific and concrete (avoid vague advice)
  • Include code examples when relevant
  • Focus on common, recurring issues
  • Keep instructions succinct, scannable, and actionable
  • Clean up redundancy
  • Instructions focus on what to do, not what to avoid

Update Triggers

Common scenarios that warrant memory updates:

  • Repeatedly forgetting the same shortcuts or commands
  • Discovering effective workflows
  • Learning domain-specific best practices
  • Finding reusable problem-solving approaches
  • Coding style decisions and rationale
  • Cross-project patterns that work well
how to use remember

How to use remember 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 remember
2

Execute installation command

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

$npx skills add https://github.com/github/awesome-copilot --skill remember

The skills CLI fetches remember from GitHub repository github/awesome-copilot 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/remember

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

4.561 reviews
  • Carlos Mensah· Dec 24, 2024

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

  • Ava Martin· Dec 24, 2024

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

  • Meera Martin· Dec 20, 2024

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

  • Harper Menon· Dec 16, 2024

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

  • Meera Chen· Dec 16, 2024

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

  • Li Bhatia· Nov 15, 2024

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

  • Alexander Thompson· Nov 15, 2024

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

  • Rahul Santra· Nov 11, 2024

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

  • Harper Robinson· Nov 7, 2024

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

  • Li Agarwal· Nov 7, 2024

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

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