Lingtai AI
Official@lingtai-ai
Offers specialized infrastructure for managing multi-modal generation networks, local audio transcription, and structured data extraction pipelines.
Agent Skills by Lingtai AI
Showing 67 vetted skills indexed across 1 GitHub repositories.
Lingtai-AIlingtai-tui-dev
Guides development workflow for LingTai's Go binaries through baseline, validation, and PR gates.
Lingtai-AIlingtai-update
Routes install, update, detection, and diagnosis tasks for lingtai-tui and lingtai-portal binaries.
Lingtai-AIswiss-knife
Routes tasks to nested utility references for media, audio, vision, research, and reporting.
Lingtai-AIlingtai-tui-anatomy
Navigate the LingTai Go monorepo structure through its distributed ANATOMY.md documentation graph.
Lingtai-AIlingtai-tui-help
Routes LingTai TUI questions to slash-command references and owning documentation skills.
Lingtai-AIlingtai-dev-guide
Routes LingTai contributors to nested references for setup, debugging, security audits, and PR readiness.
Lingtai-AItextbook-distillation
Distills textbooks into self-paced learning tracks with styled HTML lecture notes.
Lingtai-AIlingtai-update-homebrew
Inspect and manage the Lingtai Homebrew tap formula during update workflows.
Lingtai-AIlingtai-update-mainland
Configure mirrors and dependency indexes for LingTai installs from mainland China.
Lingtai-AIlingtai-update-command
Updates the lingtai-tui binary by comparing GitHub releases and migrating Homebrew installs to native installers.
Lingtai-AIlingtai-update-detection
Detects how the running lingtai-tui binary was installed using install metadata and executable paths.
Lingtai-AIlingtai-update-diagnosis
Diagnose failed TUI and portal installs, updates, builds, and restarts.
Lingtai-AIhtml-report
Generate standalone HTML reports with MathJax-rendered equations and validation checks.
Lingtai-AIpreset-health
Diagnose saved LLM presets and classify connectivity failures without exposing credentials.
Lingtai-AIlisten
Transcribe speech with Whisper and analyze music features with librosa locally.
Lingtai-AIvision
Route image understanding tasks across built-in vision tools, MiniMax CLI, or local Hugging Face VLMs.
Lingtai-AIdj
Generates music tracks matching project journal entries via configured media-creation providers.
Lingtai-AIheadless-bot
Creates and configures headless LingTai bot projects with Telegram MCP wiring.
Lingtai-AIacademic-research
Fetches academic papers, resolves citations, and supports LaTeX manuscript writing via scholarly APIs.
Lingtai-AItoken-usage
Analyzes LLM token costs, cache rates, and tool-call trends across LingTai agent logs.
Lingtai-AIrecipe-format-reference
Documents the recipe bundle format for authoring and validating LingTai recipes.
Lingtai-AIrecipe-export-flow
Export a live agent network's culture into a validated, shareable recipe bundle.
Lingtai-AIissue-report-filing-flow
Guides consent-based GitHub issue filing via gh CLI or manual handoff.
Lingtai-AIissue-report-report-template
Assembles structured issue reports with severity levels and delivers them via LingTai email or chat channels.
Frequently Asked Questions About Lingtai AI
FAQPage SchemaWhat specific tasks can be performed using Lingtai AI?▼
Lingtai AI enables local audio transcription via Whisper, multi-modal generation routing, and scholarly literature synthesis. It also provides infrastructure for managing avatar networks, diagnosing system faults, and packaging network configurations into portable, validator-ready bundles for deployment.
Who is the target persona for these technical capabilities?▼
The target audience includes machine learning engineers and researchers focused on multi-modal model integration. It is designed for developers managing complex network topologies, those requiring local audio processing without network latency, and academics needing automated literature synthesis and citation management.
What are the prerequisites for running Lingtai audio and extraction features?▼
Local audio processing requires the installation of Whisper and Librosa libraries for signal analysis. Extraction features rely on the seven-tier pipeline architecture, while network configuration management requires access to the .portal directory structure and specific API key prefixes for regional service providers.