Total 56,861 skills, AI & Machine Learning has 9456 skills
Showing 12 of 9456 skills
Extract a learned skill from the current conversation
Detect AI-generated writing patterns in developer text — docs, docstrings, commit messages, PR descriptions, and code comments. Use when reviewing any text artifact for authenticity and clarity.
Create or revise Claude Code-compatible Agent Skills (SKILL.md with optional references/, scripts/, and assets/). Use when designing a new skill, improving an existing skill, or updating/refactoring an existing skill while preserving the original author's intent (avoid semantic drift unless explicitly requested/approved by the author). Also use when integrating skills with subagents (context fork, agent).
Design experiment plans with progressive stages — initial implementation, baseline tuning, creative research, and ablation studies. Plan baselines, datasets, hyperparameter sweeps, and evaluation metrics. Use when planning experiments for a research paper.
Generate Twitch and streaming overlays using each::sense AI. Create webcam frames, starting soon screens, BRB screens, alerts, chat boxes, panels, emotes, subscriber badges, and channel banners optimized for streaming platforms.
C++ Reinforcement Learning best practices using libtorch (PyTorch C++ frontend) and modern C++17/20. Use when: - Implementing RL algorithms in C++ for performance-critical applications - Building production RL systems with libtorch - Creating replay buffers and experience storage - Optimizing RL training with GPU acceleration - Deploying RL models with ONNX Runtime
Interact with the Denser Retriever API to build and query knowledge bases. Use this skill whenever the user wants to create a knowledge base, upload documents (files or URLs), search/query a knowledge base, list or delete knowledge bases or documents, check document processing status, or check account usage/balance. Also trigger when the user mentions 'denser retriever', 'knowledge base', 'document search', 'semantic search', 'RAG pipeline', or wants to index and search their files.
Teaches and deploys Edmund Burke's conservative philosophy: preserve organic social order, tradition, institutions, and gradual reform against revolutionary chaos.
Query fan-out coverage for AI visibility. Covers semantic variation analysis and sub-question targeting.
Generate images in Peter Lindbergh's iconic black and white style. Use when users ask for Lindbergh style, raw authentic beauty, emotional B&W portraits, supermodel aesthetic, or unretouched natural photography.
Claude + Gemini Cross Fact-Checking. Conduct independent checks by three parties: Opus itself, Gemini Flash, and Gemini Pro → extract issues → discuss → output a consensus report.
Create, optimize, update, and validate AGENTS.md files with maximum token efficiency. Use when the user asks to (1) create new AGENTS.md files for any repository, (2) optimize/condense existing AGENTS.md to reduce token count, (3) update/refresh AGENTS.md to sync with codebase changes, (4) validate AGENTS.md quality and completeness, or (5) improve AGENTS.md files to be more effective for AI agents. Always generates token-efficient, condensed output focused on actionable commands and patterns while maintaining model-agnostic language.