remember▌
alirezarezvani/claude-skills · updated Apr 8, 2026
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Writes an explicit entry to auto-memory when something is important enough that you don't want to rely on Claude noticing it automatically.
/si:remember — Save Knowledge Explicitly
Writes an explicit entry to auto-memory when something is important enough that you don't want to rely on Claude noticing it automatically.
Usage
/si:remember <what to remember>
/si:remember "This project's CI requires Node 20 LTS — v22 breaks the build"
/si:remember "The /api/auth endpoint uses a custom JWT library, not passport"
/si:remember "Reza prefers explicit error handling over try-catch-all patterns"
When to Use
| Situation | Example |
|---|---|
| Hard-won debugging insight | "CORS errors on /api/upload are caused by the CDN, not the backend" |
| Project convention not in CLAUDE.md | "We use barrel exports in src/components/" |
| Tool-specific gotcha | "Jest needs --forceExit flag or it hangs on DB tests" |
| Architecture decision | "We chose Drizzle over Prisma for type-safe SQL" |
| Preference you want Claude to learn | "Don't add comments explaining obvious code" |
Workflow
Step 1: Parse the knowledge
Extract from the user's input:
- What: The concrete fact or pattern
- Why it matters: Context (if provided)
- Scope: Project-specific or global?
Step 2: Check for duplicates
MEMORY_DIR="$HOME/.claude/projects/$(pwd | sed 's|/|%2F|g; s|%2F|/|; s|^/||')/memory"
grep -ni "<keywords>" "$MEMORY_DIR/MEMORY.md" 2>/dev/null
If a similar entry exists:
- Show it to the user
- Ask: "Update the existing entry or add a new one?"
Step 3: Write to MEMORY.md
Append to the end of MEMORY.md:
- {{concise fact or pattern}}
Keep entries concise — one line when possible. Auto-memory entries don't need timestamps, IDs, or metadata. They're notes, not database records.
If MEMORY.md is over 180 lines, warn the user:
⚠️ MEMORY.md is at {{n}}/200 lines. Consider running /si:review to free space.
Step 4: Suggest promotion
If the knowledge sounds like a rule (imperative, always/never, convention):
💡 This sounds like it could be a CLAUDE.md rule rather than a memory entry.
Rules are enforced with higher priority. Want to /si:promote it instead?
Step 5: Confirm
✅ Saved to auto-memory
"{{entry}}"
MEMORY.md: {{n}}/200 lines
Claude will see this at the start of every session in this project.
What NOT to use /si:remember for
- Temporary context: Use session memory or just tell Claude in conversation
- Enforced rules: Use
/si:promoteto write directly to CLAUDE.md - Cross-project knowledge: Use
~/.claude/CLAUDE.mdfor global rules - Sensitive data: Never store credentials, tokens, or secrets in memory files
Tips
- Be concise — one line beats a paragraph
- Include the concrete command or value, not just the concept
- ✅ "Build with
pnpm build, tests withpnpm test:e2e" - ❌ "The project uses pnpm for building and testing"
- ✅ "Build with
- If you're remembering the same thing twice, promote it to CLAUDE.md
How to use remember 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 remember
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches remember from GitHub repository alirezarezvani/claude-skills 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 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
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
4.6★★★★★70 reviews- ★★★★★Chen Thomas· Dec 24, 2024
Solid pick for teams standardizing on skills: remember is focused, and the summary matches what you get after install.
- ★★★★★Shikha Mishra· Dec 20, 2024
Solid pick for teams standardizing on skills: remember is focused, and the summary matches what you get after install.
- ★★★★★Sakura Dixit· Dec 16, 2024
Registry listing for remember matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Yusuf Sanchez· Dec 16, 2024
Keeps context tight: remember is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Charlotte Perez· Dec 8, 2024
remember is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Alexander Dixit· Nov 27, 2024
Useful defaults in remember — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Alexander Sanchez· Nov 23, 2024
remember reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Kaira Thompson· Nov 15, 2024
We added remember from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Rahul Santra· Nov 11, 2024
We added remember from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Fatima Patel· Nov 7, 2024
I recommend remember for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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