# PocketStrike

> PocketStrike — abuzar-ansarii-pocketstrike. Use this tool when you need to perform private and secure AI-driven tasks on a mobile device, leveraging on-device inference and cloud-based large language models to solve complex problems. PocketStrike combines advanced technologies to provide a robust and flexible workstation for various use cases, including image generation and multi-step agent interactions. It accepts inputs such as code and data, and outputs generated images and model results, making it ideal for developers and researchers working on AI projects that require privacy and flexibility.

Canonical page: https://skillsregistry.net/skills/abuzar-ansarii-pocketstrike  
JSON: https://api.skillsregistry.net/v1/skills/abuzar-ansarii-pocketstrike

## Description

PocketStrike is a privacy-first mobile AI workstation. It combines zero-cloud native on-device GGUF inference (ARM NEON accelerated)   │ with frontier cloud LLMs, multi-step ReAct agent tools, Model Context Protocol (MCP) servers, self-evolving cross-session memory, and FLUX neural image   │ generation.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/AbuZar-Ansarii/PocketStrike)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "abuzar-ansarii-pocketstrike"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/abuzar-ansarii-pocketstrike` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/abuzar-ansarii-pocketstrike/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt