How do I install the Mobile Instinct V2 skill?

Run npx skillmds@latest add tomevault-io/mobile-instinct-v2 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Mobile Instinct V2 safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Mobile Instinct V2?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Mobile Instinct V2 free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Mobile Instinct V2?

tomevault-io (@tomevault-io) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Mobile Instinct V2 by tomevault-io — Agent Skill

Name: Mobile Instinct V2
Author: tomevault-io

File contents

Mobile Instinct v2 - Observational Learning

Cross-session observational learning that extracts patterns from your development workflow over time.

Overview

V2 instincts observe your sessions and extract patterns that emerge across multiple development activities. Unlike V1's immediate capture, V2 looks for:

Recurring architectural decisions
Problem-solving approaches
Code organization patterns
Testing strategies

Session Analysis

At session end, V2 analyzes:

Code changes: What was modified
Problem context: What issue was being solved
Solution approach: How it was resolved
Dependencies: What libraries/techniques were used

Pattern Categories

Architectural Patterns

Pattern	Detected By	Example
`layer-separation`	Consistent data/ui/domain separation	Repository + ViewModel + Composable
`dependency-injection`	Koin module patterns	factoryOf, viewModel
`navigation-pattern`	Compose Navigation usage	NavHost with routes
`state-management`	MVI/MVVM consistency	StateFlow + sealed classes

Problem-Solution Patterns

Pattern	Detected By	Example
`error-boundary`	Try-catch with UI feedback	Error state in Composable
`loading-state`	isLoading + Content pattern	Box with progress
`pagination`	LazyColumn with Pager	Paging 3 integration
`caching-strategy`	Repository layer caching	Cached repository pattern

Code Organization Patterns

Pattern	Detected By	Example
`feature-module`	Self-contained feature folders	feature/auth/ structure
`shared-UI`	Reusable Composables	ui/components/
`test-mirroring`	Test structure matching src	Parallel test folders
`naming-convention`	Consistent naming patterns	XxxViewModel, XxxScreen

Observation Windows

V2 uses sliding windows for pattern detection:

Window 1 (Current Session):    Immediate patterns
Window 2 (Last 5 Sessions):    Emerging patterns
Window 3 (Last 20 Sessions):   Established patterns
Window 4 (All Time):           Core patterns

Confidence Evolution

Session 1-3:    Experimental (0.1-0.3)
Session 4-10:   Validating (0.3-0.6)
Session 11-20:  Established (0.6-0.8)
Session 20+:    Best Practice (0.8-1.0)

Commands

View Observations

/instinct-status --v2
/instinct-status --observations

Shows:

Recent session observations
Emerging patterns (low confidence)
Established patterns (high confidence)
Pattern clusters by domain

Manual Observation

/instinct-observe "Used Ktor with retry pattern for API calls"

Manually add an observation for pattern learning.

Integration

V2 instincts are evaluated by:

Session hooks: hooks/instinct-hooks.json Stop event
Pattern extractor: agents/mobile-pattern-extractor.md
Pre-compact preservation: Maintains learning during context compression

Difference from V1

Aspect	V1	V2
Trigger	Code write	Session observation
Scope	Single file	Cross-file patterns
Timing	Immediate	End of session
Focus	Code patterns	Architectural patterns

Remember: V2 needs multiple sessions to build confidence. The more you develop, the smarter it gets.

Converted and distributed by TomeVault — claim your Tome and manage your conversions.

---name: mobile-instinct-v2description: V2 instinct-based observational learning. Analyzes sessions to extract reusable mobile development patterns across time. Use when this capability is needed.---# Mobile Instinct v2 - Observational LearningCross-session observational learning that extracts patterns from your development workflow over time.## OverviewV2 instincts **observe your sessions** and extract patterns that emerge across multiple development activities. Unlike V1's immediate capture, V2 looks for:- Recurring architectural decisions- Problem-solving approaches- Code organization patterns- Testing strategies## Session AnalysisAt session end, V2 analyzes:1. **Code changes**: What was modified2. **Problem context**: What issue was being solved3. **Solution approach**: How it was resolved4. **Dependencies**: What libraries/techniques were used## Pattern Categories### Architectural Patterns| Pattern | Detected By | Example ||---------|-------------|---------|| `layer-separation` | Consistent data/ui/domain separation | Repository + ViewModel + Composable || `dependency-injection` | Koin module patterns | factoryOf, viewModel || `navigation-pattern` | Compose Navigation usage | NavHost with routes || `state-management` | MVI/MVVM consistency | StateFlow + sealed classes |### Problem-Solution Patterns| Pattern | Detected By | Example ||---------|-------------|---------|| `error-boundary` | Try-catch with UI feedback | Error state in Composable || `loading-state` | isLoading + Content pattern | Box with progress || `pagination` | LazyColumn with Pager | Paging 3 integration || `caching-strategy` | Repository layer caching | Cached repository pattern |### Code Organization Patterns| Pattern | Detected By | Example ||---------|-------------|---------|| `feature-module` | Self-contained feature folders | feature/auth/ structure || `shared-UI` | Reusable Composables | ui/components/ || `test-mirroring` | Test structure matching src | Parallel test folders || `naming-convention` | Consistent naming patterns | XxxViewModel, XxxScreen |## Observation WindowsV2 uses sliding windows for pattern detection:```Window 1 (Current Session): Immediate patternsWindow 2 (Last 5 Sessions): Emerging patternsWindow 3 (Last 20 Sessions): Established patternsWindow 4 (All Time): Core patterns```## Confidence Evolution```Session 1-3: Experimental (0.1-0.3)Session 4-10: Validating (0.3-0.6)Session 11-20: Established (0.6-0.8)Session 20+: Best Practice (0.8-1.0)```## Commands### View Observations```/instinct-status --v2/instinct-status --observations```Shows:- Recent session observations- Emerging patterns (low confidence)- Established patterns (high confidence)- Pattern clusters by domain### Manual Observation```/instinct-observe "Used Ktor with retry pattern for API calls"```Manually add an observation for pattern learning.## IntegrationV2 instincts are evaluated by:1. **Session hooks**: `hooks/instinct-hooks.json` Stop event2. **Pattern extractor**: `agents/mobile-pattern-extractor.md`3. **Pre-compact preservation**: Maintains learning during context compression## Difference from V1| Aspect | V1 | V2 ||--------|----|----|| Trigger | Code write | Session observation || Scope | Single file | Cross-file patterns || Timing | Immediate | End of session || Focus | Code patterns | Architectural patterns |---**Remember**: V2 needs multiple sessions to build confidence. The more you develop, the smarter it gets.---> Converted and distributed by [TomeVault](https://tomevault.io/claim/ahmed3elshaer) — claim your Tome and manage your conversions.

Frequently asked questions

Mobile Instinct V2