技能检索
mindgardener
Local-first long-term memory for autonomous agents. Built for OpenClaw. Creates wiki knowledge graph from conversations, scores events by surprise, detects conflicts, and assembles token-budget context. Complements OpenClaw's built-in memory_search.
youtube-knowledge-extractor
Multimodal YouTube video analysis through both audio (transcript) and visual (frame extraction + image analysis) channels. Especially powerful for HowTo videos, tutorials, demos, and explainer videos where what is SHOWN (screenshots, UI demos, diagrams, code, physical actions) is just as important as what is SAID. Use this skill whenever a user wants to analyze, summarize, or create step-by-step guides from YouTube videos, or when they share a YouTube URL and want to understand what happens in the video. Triggers on requests like "Analyze this YouTube video", "Create a step-by-step guide from this video", "What does this video show?", "Summarize this tutorial", or any YouTube URL shared with analysis intent.
living-room-air-monitor
Monitor and report on living room air quality data. Collects temperature, humidity, PM2.5, and CO2 readings every hour from the Dirigera-connected air sensor, stores in SQLite database, and provides querying, averaging, charting, and reporting functions. Use when the user wants to (1) set up automated air quality data collection, (2) query historical air quality data, (3) generate charts for specific time periods, (4) get averages for days or months, or (5) send air quality reports via email or WhatsApp.
agent-estimation
Accurately estimate AI agent work effort using the agent's own operational units (tool-call rounds) instead of human time. Use when asked to estimate, scope, plan, or evaluate how long a coding task will take. Prevents the common failure mode where agents anchor to human developer timelines and massively overestimate. Outputs a structured breakdown with round counts, risk factors, and a final wallclock conversion.
emotion-detector
Detects the primary emotion in text input for AI agents. Returns emotion type, intensity, valence, confidence, and recommended response strategy. Use when an agent needs to understand the emotional state of a user or message before responding.
semfind
Semantic search over local text files using embeddings. Use when grep/ripgrep fails to find relevant results because the exact wording is unknown, or when searching by meaning rather than pattern — e.g., searching logs for "deployment issue" when the actual text says "container build failed". Install with `pip install semfind`. Ideal for searching memory files, project docs, logs, and notes by meaning.
opendart-disclosure
Read Korea OpenDART disclosures using the OpenDART API. Use when the user asks for DART 공시 조회, recent filings by company, filtering by filing type/date, or quick summaries with source links. Supports company name/corp_code lookup and structured result extraction.
audio-upload-aioz-stream
Quick upload audio to AIOZ Stream API. Create audio objects with default or custom encoding configurations, upload the file, complete the upload, then return the audio link to the user.