skaile.ai
Official@skaile-ai · Germany
Offers a modular framework for orchestrating agentic development, monorepo governance, and technical documentation synthesis within Nuxt and Python ecosystems.
Agent Skills by skaile.ai
Showing 86 vetted skills indexed across 1 GitHub repositories.
prog-expert-directus
Provision a local Directus environment with Docker, PostgreSQL, Redis, and Nuxt 3.
prog-expert-scadcn
Configure shadcn-nuxt with components.json registry and Tailwind CSS v4 in Nuxt projects.
skailup-prog-expert-skill-system
Design and implement LLM agent skill systems with artifacts, gates, and UI integration.
prog-expert-omp
Orchestrate OMP workflows for RPC embedding, skill authoring, and extension development.
prog-expert-una
Implement UnaUI integration in Nuxt projects with module setup and N* components.
prog-expert-uno
Configure UnoCSS presets, theming, and module integration in Nuxt projects.
prog-expert-vueuse
Resolves Nuxt 3 VueUse integration issues with auto-import configuration and conflict handling.
prog-expert-nuxt
Analyze Nuxt 3 projects and monorepos for architecture patterns and recipes.
prog-expert-tts-stt-integration
Automate TTS and STT integration in Nuxt 3/Nitro apps.
prog-expert-primevue
Orchestrate PrimeVue v4 integrations within Nuxt 3 projects.
skailup-prog-expert-integration-ai-agents
Integrate LLM agent sidecars into Nuxt 4 frontends via a Typed Action Protocol.
prog-expert-tiptap
Identify TipTap integration patterns for Nuxt 3 editors with collaboration and custom node views.
file-management
Automate safe file operations within the active project workspace.
code-assistance
Automate safe code writing, editing, and explanation across languages.
project-exploration
Map codebase structure, entry points, and data flow with file references.
ui-rendering
Render UI components from the UI_MANIFEST and emit ui_render events.
prog-expert-marimo
Enforce Marimo notebook cell structure, reactivity rules, and test protocols.
prog-expert-python
Implement advanced Python 3.12+ patterns and uv workspace monorepo workflows.
prog-expert-python-pydanticai
Implement pydantic-ai Agent patterns with OpenAI and Gemini backends.
mm-post-to-thread
Format and post progress reports to the initiating Mattermost thread.
gh-create-pr
Open a draft GitHub pull request from the current feature branch using the gh CLI.
use-elevenlabs
Convert Markdown dialogue to audio via the ElevenLabs v3 Dialogue API.
agent-browser
Automate browser navigation, form interaction, and data extraction for AI agents.
use-perplexity
Query Perplexity models via OpenRouter for web-backed research insights.
Frequently Asked Questions About skaile.ai
FAQPage SchemaWhat specific tasks can I perform using the Skaile.ai framework?▼
You can scaffold agent definitions, manage monorepo release readiness, generate Typst-based documentation, and orchestrate complex multi-package testing. The system provides specialized modules for Nuxt frontend integration, Pydantic-based logic, and structured knowledge extraction from scientific documents.
Which technical personas benefit most from these capabilities?▼
Skaile.ai is designed for senior software engineers, platform architects, and technical leads managing complex monorepos. It is particularly effective for teams building agentic systems who require strict governance, standardized project scaffolding, and reproducible testing protocols.
What are the core prerequisites for running Skaile.ai components?▼
The environment requires a standard Unix-like workspace with Python 3.12+, uv for dependency management, and Docker for local service orchestration. Projects typically utilize a monorepo structure with specific manifest files like SKILL.md and DOMAIN.md to define behavior.