para-memory-files

Persistent, file-based memory organized by Tiago Forte's PARA method. Three layers: a knowledge graph, daily notes, and tacit knowledge. All paths are relative to $AGENT_HOME.

paperclipai/paperclipUpdated Apr 8, 2026

Works with

Claude CodeCursorClineWindsurfCodexGooseGitHub CopilotZed

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Install Skill

Run in your terminal

$npx skills add https://github.com/paperclipai/paperclip --skill para-memory-files

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Installation Guide

How to use para-memory-files 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 machine
  • Node.js 16+ with npm — verify with node --version
  • Active project directory where you want to add para-memory-files
2

Run the install command

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

$npx skills add https://github.com/paperclipai/paperclip --skill para-memory-files

Fetches para-memory-files from paperclipai/paperclip and configures it for Cursor.

3

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ────────────────
│ · Cline · Codex · Goose · Windsurf
│ ●Cursor(selected)
│ · Cursor · Aider · Continue
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/para-memory-files

Restart Cursor to activate para-memory-files. Access via /para-memory-files in your agent's command palette.

Security 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 environment. Always review source, verify the publisher, and test in isolation before production.

Documentation

PARA Memory Files

Persistent, file-based memory organized by Tiago Forte's PARA method. Three layers: a knowledge graph, daily notes, and tacit knowledge. All paths are relative to $AGENT_HOME.

Three Memory Layers

Layer 1: Knowledge Graph ($AGENT_HOME/life/ -- PARA)

Entity-based storage. Each entity gets a folder with two tiers:

  1. summary.md -- quick context, load first.
  2. items.yaml -- atomic facts, load on demand.
$AGENT_HOME/life/
  projects/          # Active work with clear goals/deadlines
    <name>/
      summary.md
      items.yaml
  areas/             # Ongoing responsibilities, no end date
    people/<name>/
    companies/<name>/
  resources/         # Reference material, topics of interest
    <topic>/
  archives/          # Inactive items from the other three
  index.md

PARA rules:

  • Projects -- active work with a goal or deadline. Move to archives when complete.
  • Areas -- ongoing (people, companies, responsibilities). No end date.
  • Resources -- reference material, topics of interest.
  • Archives -- inactive items from any category.

Fact rules:

  • Save durable facts immediately to items.yaml.
  • Weekly: rewrite summary.md from active facts.
  • Never delete facts. Supersede instead (status: superseded, add superseded_by).
  • When an entity goes inactive, move its folder to $AGENT_HOME/life/archives/.

When to create an entity:

  • Mentioned 3+ times, OR
  • Direct relationship to the user (family, coworker, partner, client), OR
  • Significant project or company in the user's life.
  • Otherwise, note it in daily notes.

For the atomic fact YAML schema and memory decay rules, see references/schemas.md.

Layer 2: Daily Notes ($AGENT_HOME/memory/YYYY-MM-DD.md)

Raw timeline of events -- the "when" layer.

  • Write continuously during conversations.
  • Extract durable facts to Layer 1 during heartbeats.

Layer 3: Tacit Knowledge ($AGENT_HOME/MEMORY.md)

How the user operates -- patterns, preferences, lessons learned.

  • Not facts about the world; facts about the user.
  • Update whenever you learn new operating patterns.

Write It Down -- No Mental Notes

Memory does not survive session restarts. Files do.

  • Want to remember something -> WRITE IT TO A FILE.
  • "Remember this" -> update $AGENT_HOME/memory/YYYY-MM-DD.md or the relevant entity file.
  • Learn a lesson -> update AGENTS.md, TOOLS.md, or the relevant skill file.
  • Make a mistake -> document it so future-you does not repeat it.
  • On-disk text files are always better than holding it in temporary context.

Memory Recall -- Use qmd

Use qmd rather than grepping files:

qmd query "what happened at Christmas"   # Semantic search with reranking
qmd search "specific phrase"              # BM25 keyword search
qmd vsearch "conceptual question"         # Pure vector similarity

Index your personal folder: qmd index $AGENT_HOME

Vectors + BM25 + reranking finds things even when the wording differs.

Planning

Keep plans in timestamped files in plans/ at the project root (outside personal memory so other agents can access them). Use qmd to search plans. Plans go stale -- if a newer plan exists, do not confuse yourself with an older version. If you notice staleness, update the file to note what it is supersededBy.

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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

Steps

  1. 1Install product management skill
  2. 2Start with user story generation for known feature
  3. 3Progress to competitive analysis: research 2-3 competitors
  4. 4Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5Draft stakeholder communications and refine based on feedback
  6. 6Build template library for recurring PM tasks
  7. 7Share 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

Related Skills

Reviews

4.641 reviews
  • M
    Meera DesaiDec 28, 2024

    para-memory-files is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • K
    Kofi TandonDec 8, 2024

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

  • S
    Sophia BrownNov 27, 2024

    Registry listing for para-memory-files matched our evaluation — installs cleanly and behaves as described in the markdown.

  • S
    Sophia ChenNov 23, 2024

    We added para-memory-files from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • A
    Amina MensahNov 19, 2024

    para-memory-files reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • E
    Evelyn SanchezOct 18, 2024

    para-memory-files reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • N
    Nia GuptaOct 14, 2024

    para-memory-files fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Y
    Yusuf AgarwalOct 10, 2024

    Registry listing for para-memory-files matched our evaluation — installs cleanly and behaves as described in the markdown.

  • O
    OshnikdeepSep 25, 2024

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

  • A
    Amelia VermaSep 13, 2024

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

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