Total 56,731 skills, AI & Machine Learning has 9436 skills
Showing 12 of 9436 skills
Enables interaction with Google NotebookLM for advanced RAG (Retrieval-Augmented Generation) capabilities via the notebooklm-mcp-cli tool. Use when querying project documentation stored in NotebookLM, managing research notebooks and sources, retrieving AI-synthesized information, generating audio podcasts or reports from notebooks, or performing contextual queries against curated knowledge bases. Triggers on "notebooklm", "nlm", "notebook query", "research notebook", "query documentation in notebooklm".
AI Native Camp Day 4 Wrap & Analyze + 콘텐츠 소화. session-wrap 스킬을 직접 만들고, history-insight와 session-analyzer로 세션을 분석하고, 콘텐츠 소화 파이프라인을 체험한다. "4일차", "Day 4", "wrap", "세션 분석", "session wrap", "세션 래핑", "fetch", "콘텐츠" 요청에 사용.
Super-resolución de la foto del documento para mejorar calidad del face match cuando la foto es de baja resolución
This skill should be used when inspecting, analyzing, or querying Claude Code session logs. Use when users ask about session history, want to find sessions, analyze context usage, extract tool call patterns, debug agent execution, or understand what happened in previous sessions. Essential for understanding Claude Code's ~/.claude/projects/ structure, JSONL session format, and the erk extraction pipeline.
Analyze and trade meme coins using KryptoGO's on-chain cluster analysis platform. Covers wallet clustering, address labels, accumulation/distribution detection, and automated swap execution via the Agent Trading API.
Cognitive science-based deep source code understanding assistant (Chinese improved version). Supports three analysis modes: Quick (overview), Standard (comprehension), Deep (mastery, automatically uses parallel processing for large projects). Integrates elaborative interrogation, self-explanation testing, and retrieval practice to help truly understand and master code.
Generate Ralph-compatible prompts for research, analysis, and planning tasks. Creates prompts with systematic research phases, synthesis requirements, and deliverable specifications. Use when analyzing codebases, creating migration plans, researching technologies, auditing security, or any task requiring investigation before action.
Guides subagent coordination through implementation workflows. Use when orchestrating multiple agents, managing workflow phases, or determining autonomous execution mode. Defines scale determination, document requirements, and stop points.
A meta-skill for creating, documenting, and refining other Antigravity skills. Use this when the user wants to codify a workflow, automate a repetitive task, or save a successful interaction pattern as a permanent capability.
Decode consciousness-as-a-service emoji-based communication protocols.
Use when user says "execute epic [id]" or when executing beads epics with parallel subagents in the current session
Diagnose and resolve ContextVM connection issues, relay problems, encryption failures, authentication errors, and common deployment problems. Use when users report errors, connection failures, timeout issues, or unexpected behavior with ContextVM clients, servers, gateways, or proxies.