461 skills found ¡ Page 9 of 16
LeoYeAI / ai-mdAI.MD â Convert any human-written CLAUDE.md into AI-native structured format. Your CLAUDE.md is read by AI every single turn, not by you â so write it in AI's language. Battle-tested: 5 rounds, 4 models (GPT-5.3, Gemini 2.5 Pro, Grok-4, Claude Opus 4.6).
LeoYeAI / ai-learning-journalAI åĻäš čŽ°åŊä¸æéŋčŋŊč¸ĒåˇĨå ˇãį¨äē莰åŊ AI/LLM åĻäš įŦ莰ãäŊŋį¨åŋåžãPrompt æåˇ§ãåˇĨå ˇäŊéĒįīŧåšļæäžåĻäš æå¯ŧåč§åãåŊį¨æˇæå°äģĨä¸äģģäŊč¯éĸæļéŊåēäŊŋį¨æ¤ skillīŧAI åĻäš čŽ°åŊãåĻäš įŦ莰ãAI äŊŋį¨åŋåžãPrompt åˇĨį¨åĻäš ãæ¨Ąå寚æ¯äŊéĒãAI åˇĨå ˇäŊŋį¨čŽ°åŊãLLM åĻäš ãRAG åĻäš ãAgent åĻäš ãMCP åĻäš ãAI 垎č°åŽčˇĩãAI åĻäš č§åãæäšåĻ AIãAI å Ĩé¨ãåĻäš čˇ¯įēŋæ¨čãäģéļåĻ AIãæ¨čåĻäš čĩæēãAI åĻäš æšåãåĻäŊįŗģįģåĻäš AIãåĻäš æšæŗåģē莎ãå饞åĻäš čŽ°åŊãåĻäš æģįģãAI įĨč¯æ´įãåŗäŊŋį¨æˇåĒæ¯éåŖæäēä¸åĨ"äģ夊č¯äēä¸ä¸ Claude"æ"åĻäēä¸Ēæ°į prâĻ
LeoYeAI / humanizerHumanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human.
LeoYeAI / ai-meeting-roomAI ėëŦ¸ë¨ â ėŖŧė ëĨŧ ëė§ëŠ´ ė ëŦ¸ę° AI ėė´ė í¸ë¤ė´ ė¤ė ë°ė´í° 기ë°ėŧëĄ ë¤ę°ë í ëĄ íęŗ ė¤í ę°ëĨí ę˛°ëĄ ė ëėļíë¤. ėŦė ėą ę˛í , ė ëĩ íė, ë¸ë ė¸ė¤í ë°, ėėŦ결ė , ëĻŦė¤íŦ ëļė ëąė íėŠ
Leanmcp / mcp-apps-builderBuild MCP Apps with interactive React UIs using the Leanmcp UI SDK. Use this skill when users ask for "MCP with UI", "MCP App", "interactive MCP", "leanmcp UI", "MCP dashboard", or want to create rich visual interfaces for their MCP tools.
Leanmcp / fireworks-inferenceRun inference on Fireworks AI â direct, through the Leanmcp AI Gateway proxy (aigateway.leanmcp.com) for observability, or via LiteLLM / the OpenAI SDK / raw HTTP.
Leanmcp / research-observabilityAdd file-based observability, tracing, and run analysis to LLM/agent experiments â per-turn transcripts, tool calls and results, reasoning traces, token/cost accounting, per-episode artifacts, plus terminal viewers and a run-comparison report.
typesafe-ai / typesafe-aiBuild AI-powered software with TypeSafe: small units of AI intelligence you can use like programming primitives. Its System One models, including Jev, turn natural language and application state into typed judgments and probabilities that code can combine
kajisho5 / building-python-mcp-serversBuilds robust Python MCP (Model Context Protocol) servers with FastMCP â tool design, error contracts, event-loop-safe blocking work, subprocess/CLI wrapping, single-file vs packaged distribution, global-state-free testing, and prompt-injection awareness
0xsline / image-genAI image generation via Fal.ai, gpt-image-2, nano-banana, MiniMax image-01, and xAI Grok Imagine
aipoch / vector-text-fixerFix garbled text in PDF/SVG vector graphics caused by font encoding issues, making files editable in AI tools. Supports batch processing and JSON export for manual correction.
aipoch / pptx-skillCreate, edit, and extract content from PowerPoint (.pptx) files; use when you need to generate slides programmatically, update existing decks, or export slide previews.
aipoch / mindmapGenerate mindmaps locally/offline with native HTML/CSS/JS (no external libraries); use when you need to parse Plain Text node structures or map LLM outputs into an on-device visualization.
aipoch / markitdownConvert files and Office documents into clean Markdown when you need LLM-friendly, token-efficient text (e.g., for summarization, search, RAG ingestion, or dataset preparation).
timescale / pgvector-semantic-searchUse this skill for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search.
timescale / postgresUse this skill for any PostgreSQL database work â table design, indexing, data types, constraints, extensions (pgvector, PostGIS, TimescaleDB), search, and migrations.
ReScienceLab / seo-geoSEO & GEO (Generative Engine Optimization) for websites. Analyze keywords, generate schema markup, optimize for AI search engines (ChatGPT, Perplexity, Gemini, Copilot, Claude) and traditional search (Google, Bing)
benchflow-ai / Multimodal Fusion for Speaker DiarizationCombine visual features (face detection, lip movement analysis) with audio features to improve speaker diarization accuracy in video files. Use OpenCV for face detection and lip movement tracking, then fuse visual cues with audio-based speaker embeddings.
benchflow-ai / Speaker Clustering MethodsChoose and implement clustering algorithms for grouping speaker embeddings after VAD and embedding extraction. Compare Hierarchical clustering (auto-tunes speaker count), KMeans (fast, requires known count), and Agglomerative clustering (fixed clusters).
benchflow-ai / gpt-multimodalAnalyze images and multi-frame sequences using OpenAI GPT series
benchflow-ai / video-frame-extractionExtract frames from video files and save them as images using OpenCV
benchflow-ai / seisbench-model-apiAn overview of the core model API of SeisBench, a Python framework for training and applying machine learning algorithms to seismic data.
benchflow-ai / openai-visionAnalyze images and multi-frame sequences using OpenAI GPT vision models
benchflow-ai / prefix-cache-replayReplay an LLM inference request trace (Mooncake / vLLM / SGLang hash_ids format) against a block-level KV prefix cache and compute hit statistics
benchflow-ai / openai-ttsOpenAI Text-to-Speech API for high-quality speech synthesis. Use for generating natural-sounding audio from text with customizable voices and tones.
benchflow-ai / nanogpt-trainingTrain GPT-2 scale models (~124M parameters) efficiently on a single GPU. Covers GPT-124M architecture, tokenized dataset loading (e.g., HuggingFace Hub shards), modern optimizers (Muon, AdamW), mixed precision training, and training loop implementation.
benchflow-ai / trlReference for the TRL (Transformer Reinforcement Learning) library codebase. Use proactively before reading or editing any file under `trl/` so you have the intended contracts and invariants in mind, not just what the current code says.
benchflow-ai / ac-branch-pi-modelAC branch pi-model power flow equations (P/Q and |S|) with transformer tap ratio and phase shift, matching `acopf-math-model.md` and MATPOWER branch fields
benchflow-ai / modal-gpuRun Python code on cloud GPUs using Modal serverless platform
cbrock84 / endpoint-managementManages laptops, desktops and mobile devices â enrollment, configuration, patching, software distribution, and lost or compromised devices. Use this to set up device management, standardize builds, roll out software or an OS upgrade, handle a lost device, or bring an unmanaged fleet under control.
