Total 30,804 skills, AI & Machine Learning has 4970 skills
Showing 12 of 4970 skills
Generates images and text via reverse-engineered Gemini Web API. Supports text generation, image generation from prompts, reference images for vision input, and multi-turn conversations. Use when other skills need image generation backend, or when user requests "generate image with Gemini", "Gemini text generation", or needs vision-capable AI generation.
Author and improve Agent Skills following the agentskills.io specification. Use when creating new SKILL.md files, modifying existing skills, reviewing skill quality, or organizing skill directories with proper naming, descriptions, and progressive disclosure.
Look up Gemini API documentation, SDK patterns, and current best practices when building with Google Gemini. Maps topics to local cached docs and live sources, provides correct @google/genai patterns, and highlights deprecated vs current API usage. Trigger with 'gemini docs', 'gemini guide', 'how to use gemini', 'gemini SDK', '@google/genai', or when building code that imports from @google/genai or google-genai.
Execute a task with sub-agent implementation and LLM-as-a-judge verification with automatic retry loop
Audit, clean, and optimize Clawdbot's vector memory (LanceDB). Use when memory is bloated with junk, token usage is high from irrelevant auto-recalls, or setting up memory maintenance automation.
Store a lesson learned from the current conversation. Triggered by /lesson command. Use when Master signals that the recent conversation contains a pitfall, fix, or key insight that should be persisted to long-term memory.
Generate subtitles and captions for videos using each::sense AI. Create auto-generated subtitles, multi-language captions, animated TikTok-style text, SRT/VTT exports, speaker diarization, and burned-in subtitles.
Write, audit, and improve AGENTS.md files for AI coding agents. Use when creating or improving agent context for a codebase.
Diagnose context stuffing vs. context engineering. Assess practices, define boundaries, and advise on memory architecture, retrieval, and the Research→Plan→Reset→Implement cycle.
Use OpenSearch vector search edition via the Python SDK (ha3engine) to push documents and run HA/SQL searches. Ideal for RAG and vector retrieval pipelines in Claude Code/Codex.
Understand images with Alibaba Cloud Model Studio Qwen VL models (qwen3-vl-plus/qwen3-vl-flash and latest aliases). Use when building image Q&A, visual analysis, OCR-like extraction, chart/table reading, or screenshot understanding workflows.
Voice cloning workflows with Alibaba Cloud Model Studio Qwen TTS VC models. Use when creating cloned voices from sample audio and synthesizing text with cloned timbre.