appimage-builder
Build AppImage bundles with AppDir structure for portable Linux applications
Best use case
appimage-builder is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Build AppImage bundles with AppDir structure for portable Linux applications
Teams using appimage-builder should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/appimage-builder/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How appimage-builder Compares
| Feature / Agent | appimage-builder | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Build AppImage bundles with AppDir structure for portable Linux applications
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# appimage-builder
Build AppImage bundles for portable Linux application distribution that runs on most distributions.
## Capabilities
- Create AppDir structure
- Generate .desktop files
- Bundle dependencies
- Configure AppRun script
- Use appimagetool or linuxdeploy
- Configure update information
- Sign AppImages
## Input Schema
```json
{
"type": "object",
"properties": {
"projectPath": { "type": "string" },
"appName": { "type": "string" },
"executablePath": { "type": "string" },
"iconPath": { "type": "string" },
"updateUrl": { "type": "string" }
},
"required": ["projectPath", "appName", "executablePath"]
}
```
## AppDir Structure
```
MyApp.AppDir/
├── AppRun
├── myapp.desktop
├── myapp.png
└── usr/
├── bin/
│ └── myapp
└── lib/
└── [bundled libraries]
```
## Build Commands
```bash
# Using appimagetool
ARCH=x86_64 appimagetool MyApp.AppDir MyApp-x86_64.AppImage
# Using linuxdeploy
linuxdeploy --appdir MyApp.AppDir --output appimage
```
## Related Skills
- `deb-package-builder`
- `flatpak-manifest-generator`Related Skills
assessment-builder
Creates assessments with varied question types (MCQ, code-completion, debugging, projects) aligned to learning objectives. Use when educators design quizzes/exams, need questions at appropriate Bloom's cognitive levels, want balanced cognitive distribution (60%+ non-recall), or require rubrics for open-ended questions.
rag-agent-builder
Build Retrieval-Augmented Generation (RAG) applications that combine LLM capabilities with external knowledge sources. Covers vector databases, embeddings, retrieval strategies, and response generation. Use when building document Q&A systems, knowledge base applications, enterprise search, or combining LLMs with custom data.
agent-builder
Build AI agents using pai-agent-sdk with Pydantic AI. Covers agent creation via create_agent(), toolset configuration, session persistence with ResumableState, subagent hierarchies, and browser automation. Use when creating agent applications, configuring custom tools, managing multi-turn sessions, setting up hierarchical agents, or implementing HITL approval flows.
Advisory Board Builder
Recruit, structure, and manage advisory boards for strategic guidance
web-backend-builder
Scaffold backend API, data models, ORM setup, and endpoint inventory with OpenAPI output.
mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP), Node/TypeScript (MCP SDK), or C#/.NET (Microsoft MCP SDK).
mcp-builder-microsoft
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP), Node/TypeScript (MCP SDK), or C#/.NET (Microsoft MCP SDK).
api-request-builder
Build a basic HTTP request (curl or fetch) for an API. Use when a junior developer needs a quick request example.
api-integration-builder
Build reliable third-party API integrations including OAuth, webhooks, rate limiting, error handling, and data sync. Use when integrating with external services (Slack, Stripe, Gmail, etc.), building API connections, handling webhooks, or implementing OAuth flows.
api-endpoint-builder
Build REST API endpoints when designing or implementing API routes with security best practices. Not for client-side fetching or non-API logic.
api-builder
Generate complete FastAPI backend scaffolds from OpenAPI 3.x specifications. Automatically creates SQLAlchemy models, Pydantic schemas, FastAPI routers, CRUD operations, database migrations, pytest tests, and Next.js TypeScript clients. Use when user provides an OpenAPI/OpenSpec file (.yaml/.json) or pastes spec content, and wants to generate API code. Triggers on phrases like "generate API from spec", "build backend from OpenAPI", "create FastAPI from this spec", "implement these endpoints", or when user shares OpenAPI specification files. Supports Python 3.12+, FastAPI, SQLite, SQLAlchemy, Alembic, pytest, and Next.js App Router.
prompt-template-builder
Creates reusable prompt templates with strict output contracts, style rules, few-shot examples, and do/don't guidelines. Provides system/user prompt files, variable placeholders, output formatting instructions, and quality criteria. Use when building "prompt templates", "LLM prompts", "AI system prompts", or "prompt engineering".