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SKILL verified MIT Self-run

Memory

skill-carbeneai-forge-memory · by CarbeneAI

Persistent project knowledge and context management. USE WHEN learning new facts about projects, user preferences, or environment details OR when needing to recall previously learned information. Auto-captures learnings to prevent repetition.

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Install

$ agentstack add skill-carbeneai-forge-memory

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets Used
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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How agent discovery & health will work →
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About

Memory - Persistent Knowledge System

Purpose: Maintain persistent knowledge about projects, environments, and user preferences so you never have to repeat yourself.

Core Principle

If you tell me something once, I should remember it forever.

This skill captures and organizes:

  • Project-specific facts (hosting, domains, tech stack, integrations)
  • Environment details (API keys locations, deployment workflows)
  • User preferences (coding style, communication preferences)
  • Decisions and their rationale
  • Lessons learned from debugging sessions

Memory Structure

All memories stored in ${PAI_DIR}/memory/:

memory/
├── projects/           # Project-specific knowledge
│   ├── carbene-website.md
│   ├── carbene-homelab.md
│   ├── pai.md
│   └── cyberdefense-tactics.md
├── user/               # User preferences and personal info
│   └── preferences.md
└── global/             # Cross-project knowledge
    └── integrations.md

Workflows

1. Capture Learning (Proactive)

When to use: Automatically after learning something new about a project or user.

TRIGGER: Any of these situations:
- User corrects a mistake ("It's Vercel, not Cloudflare")
- User provides new information ("The domain is carbene.ai")
- Discovering project structure or integrations
- User states a preference
- Resolving a confusing issue

ACTION:
1. Identify the memory category (project/user/global)
2. Read existing memory file (if exists)
3. Append new fact with timestamp
4. Confirm capture to user (briefly)

2. Recall Context (On Session Start)

When to use: At the beginning of each session, based on working directory.

ACTION:
1. Detect current working directory
2. Map to project memory file
3. Load relevant memories into context
4. Silently apply (no need to announce)

3. Query Memory

When to use: When user asks "What do you know about X?"

ACTION:
1. Search memory files for relevant content
2. Return organized summary
3. Offer to update if anything is outdated

Memory Format

Each memory file uses this format:

# Project: [Name]

## Quick Facts
| Key | Value |
|-----|-------|
| Domain | example.com |
| Hosting | Vercel |
| Repo | github.com/user/repo |

## Tech Stack
- Framework: Next.js 16
- Package Manager: Bun
- Styling: Tailwind CSS

## Integrations
- **Google Sheets**: Contact form and assessment data
- **Apps Script**: Email automation at `docs/google-apps-script.js`

## Key Files
- `CLAUDE.md` - Project instructions
- `.env.local` - Environment variables
- `docs/google-apps-script.js` - Email automation code

## Decisions & Rationale
- [2026-01-20] Using Vercel instead of Cloudflare Pages for easier deployment
- [2026-01-20] Assessment tracks by index not value due to duplicate scores

## Lessons Learned
- [2026-01-20] Apps Script requires NEW deployment after changes (saving isn't enough)
- [2026-01-20] carbene.ai is production, yourdomain.com is homelab/internal - never confuse

## Notes
Additional context that doesn't fit elsewhere.

Directory-to-Project Mapping

| Directory Pattern | Project Memory | |-------------------|----------------| | */carbene-ai-website* | projects/carbene-website.md | | */homelab* | projects/carbene-homelab.md | | */PAI* or */.claude* | projects/pai.md | | */cyberdefense* | projects/cyberdefense-tactics.md |

Auto-Capture Triggers

The Memory skill should automatically capture when:

  1. Correction detected: User says "no", "actually", "it's not X, it's Y"
  2. New fact provided: User shares hosting, domain, credentials location
  3. Integration discovered: Finding how systems connect
  4. Decision made: Choosing one approach over another
  5. Bug resolved: Understanding why something failed

Commands

  • /memory show [project] - Display memories for a project
  • /memory add [project] [fact] - Manually add a memory
  • /memory search [query] - Search across all memories
  • /memory projects - List all tracked projects

Integration with Session Hooks

The SessionStart hook should:

  1. Detect working directory
  2. Load matching project memory
  3. Apply context silently

The SessionEnd hook should:

  1. Review session for new learnings
  2. Prompt to capture important facts
  3. Update relevant memory files

Example Memories to Capture

From today's session:

  • CarbeneAI website hosted on Vercel (not Cloudflare)
  • Production domain: carbene.ai
  • Homelab domain: yourdomain.com
  • Google Apps Script in docs/google-apps-script.js
  • Notification email: you@yourdomain.com
  • Assessment has 10 questions with duplicate score values
  • Apps Script requires new deployment after code changes

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.