ahmed3elshaer/everything-claude-code-mobile/mobile-memory

Claude Code and agent skill by ahmed3elshaer/everything-claude-code-mobile

Trust tier 3
  • community
Source check pending

Checking that the SKILL.md file is still in the repository.

Memory persistence for mobile development context across sessions. Maintains project structure, dependencies, architecture, and test state.

Install

npx vskill@latest install ahmed3elshaer/everything-claude-code-mobile/mobile-memory

SKILL.md

Mobile Memory Skill

Persistent memory system that maintains mobile development context across sessions.

Purpose

Unlike instincts (which capture patterns), memory retains factual project state:

  • What modules exist
  • What dependencies are installed
  • What the architecture looks like
  • What tests cover what code

This survives session breaks and compaction.

Memory Types

Project Structure Memory

Remembers your Android project layout:

json
{
"modules": ["app", "core:network", "feature:auth"],
"buildVariants": ["debug", "release", "staging"],
"featureModules": ["auth", "home", "profile"]
}

Use when: Starting work on a new feature, need to know project layout

Dependencies Memory

Tracks all Gradle dependencies:

json
{
"libraries": [
{"name": "compose-runtime", "group": "androidx.compose", "version": "1.5.0"}
],
"kgpVersion": "1.9.20",
"gradleVersion": "8.2"
}

Use when: Adding new dependencies, checking compatibility

Architecture Memory

Documents your architecture patterns:

json
{
"pattern": "mvi",
"uiLayer": {"screens": ["Home", "Profile"]},
"dataLayer": {"repositories": ["UserRepository"]},
"di": {"framework": "koin", "modules": ["appModule"]}
}

Use when: Onboarding new developers, explaining codebase

Test Coverage Memory

Tracks test metrics:

json
{
"totalCoverage": 78,
"trend": "improving",
"failingTests": [
{"class": "AuthViewModelTest", "method": "testLogin"}
]
}

Use when: Planning testing work, tracking quality goals

Compose Screens Memory

Indexes all Composable screens:

json
{
"screens": [
{"name": "HomeScreen", "route": "home", "file": "HomeScreen.kt"}
]
}

Use when: Finding screens, understanding navigation

Usage

Load Memory
bash
# At session start - load all memory
/memory-load all
# Load specific type
/memory-load project-structure
/memory-load dependencies
Save Memory
bash
# Save current state
/memory-save project-structure
/memory-save test-coverage
# Save all (usually automatic)
/memory-save all
Query Memory
bash
# Ask questions about project
/memory-query "What modules use Ktor?"
/memory-query "Which screens are not tested?"
/memory-query "What's the test coverage for auth module?"
Forget Memory
bash
# Remove stale memory
/memory-forget recent-changes
/memory-forget --older-than 90days
Summary
bash
# Get overview of all memory
/memory-summary

Memory Refresh Triggers

Memory auto-refreshes on:

  • Gradle sync: Dependencies, build variants
  • File changes: Recent changes, architecture
  • Test runs: Test coverage, failing tests
  • Session start: Load all memory
  • Session end: Save all memory

Memory vs Instincts

AspectMemoryInstincts
ContentFactual statePatterns
ExamplesModule list, deps"Use collectAsStateWithLifecycle"
UpdatesOn changesOn observations
ConfidenceBinary (exists/doesn't)0.0-1.0 score
Retention30-90 daysPersistent

Integration

With Checkpoints

Checkpoints include memory state:

json
{
"checkpoint": {
"memory": {
"project-structure": {...},
"dependencies": {...}
}
}
}

Restoring a checkpoint restores memory too.

With Compaction

Memory survives compaction:

  • Recent memory: Kept as-is
  • Old memory: Summarized
  • Always available via /memory-query
With Instincts

Memory informs instinct extraction:

  • Project structure → Where to look for patterns
  • Dependencies → What frameworks are used
  • Architecture → What patterns to expect

Best Practices

  1. Let it auto-refresh: Memory updates automatically on hooks
  2. Query, don't remember: Use /memory-query instead of asking user
  3. Validate on load: Check memory matches actual project
  4. Update after changes: Run /memory-save after major changes
  5. Clean up: Use /memory-forget to remove stale data

Example Session

User: I need to add a new feature for user profiles
Agent: /memory-query project-structure
Response: Found modules: app, core:network, feature:auth
No profile module exists.
Agent: /memory-query dependencies
Response: Using Compose 1.5.0, Ktor 2.3.0, Koin 3.4.0
Agent: Based on memory, I'll create feature:profile module
following your existing architecture pattern.

Remember: Memory is about what exists, not what should be. That's what instincts are for.

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
33
Repository forks
3
7-day trend score
18

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 24 Mar 2026, 7 months ago.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
Embed badge
vskill VERIFIED badge
[![vskill VERIFIED](https://verified-skill.com/api/v1/skills/ahmed3elshaer/everything-claude-code-mobile/mobile-memory/badge)](https://verified-skill.com/skills/ahmed3elshaer/everything-claude-code-mobile/mobile-memory)

Something wrong with this skill or its page? Tell us.