All Skills

Run 150+ AI apps via inference.sh CLI (infsh) — image generation, video creation, LLMs, search, 3D, social automation. Uses the terminal tool. Triggers: inference.sh, infsh, ai apps, flux, veo, image generation, video generation, seedream, seedance, tavily

OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.

Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.

Linear: manage issues, projects, teams via GraphQL + curl.

Notion API + ntn CLI: pages, databases, markdown, Workers.

Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN.

Build, test, inspect, install, and deploy MCP servers with FastMCP in Python. Use when creating a new MCP server, wrapping an API or database as MCP tools, exposing resources or prompts, or preparing a FastMCP server for Claude Code, Cursor, or HTTP deployment.

Facebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types (Flat, IVF, HNSW). Use for fast k-NN search, large-scale vector retrieval, or when you need pure similarity search without metadata. Best for high-performance applications.

Large Language and Vision Assistant. Enables visual instruction tuning and image-based conversations. Combines CLIP vision encoder with Vicuna/LLaMA language models. Supports multi-turn image chat, visual question answering, and instruction following. Use for vision-language chatbots or image understanding tasks. Best for conversational image analysis.

Provides guidance for LLM post-training with RL using slime, a Megatron+SGLang framework. Use when training GLM models, implementing custom data generation workflows, or needing tight Megatron-LM integration for RL scaling.

ASCII video: convert video/audio to colored ASCII MP4/GIF.

Knowledge comics (知识漫画): educational, biography, tutorial.

Pitfalls, examples, and edge cases for Hermes Kanban workers. The lifecycle itself is auto-injected into every worker's system prompt as KANBAN_GUIDANCE (from agent/prompt_builder.py); this skill is what you load when you want deeper detail on specific scenarios.

Create, triage, label, assign GitHub issues via gh or REST.

Automatically collects dialectic memory to fine-tune local models.

Monitor blogs and RSS/Atom feeds via blogwatcher-cli tool.

Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or document retrieval. Best for local development and open-source projects.

High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.

Pre-built cron job templates for common automation patterns.

Play Pokemon via headless emulator + RAM reads.

YouTube transcripts to summaries, threads, blogs.

Airtable REST API via curl. Records CRUD, filters, upserts.

Edit PDF text/typos/titles via nano-pdf CLI (NL prompts).

Monitor RSS feeds, arXiv, HackerNews, GitHub trending for topics of interest on cron schedule.

Send third-party WhatsApp messages or sync/search WhatsApp history via wacli, not normal active chats.

Search meme templates, suggest formats, and generate local or hosted image memes.

Generate charts and visualizations from structured data using D3.js and Chart.js.

Manage Trello boards, lists, and cards via the Trello REST API.

Provides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features. Use when discovering interpretable features, analyzing superposition, or studying monosemantic representations in language models.

OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or multilingual audio processing. Best for robust, multilingual ASR.

Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.

Gemini CLI one-shot prompts, summaries, generation, skills, hooks, MCP, or Gemma routing.

Oracle CLI second-model review/debug/refactor/design with selected files, dry-run token checks, API or browser engine.

Current weather and forecasts with wttr.in via curl for locations, rain, temperature, travel planning.

Read-only EVM client: wallets, tokens, gas across 8 chains.

阶段① 需求确认。以提问方式逐步确认需求，产出 design.md 第一章。