Personal cognitive architecture that learns how you work. Builds a knowledge graph from your sessions, profiles your expertise, adapts retrieval per task, and self-corrects via outcome feedback. Three-tier hybrid RAG (vector + graph + full-text). Runs locally with any Ollama model — no outbound network calls from Fabrik-Codek itself.
Query Solana data via the Helius API. Use when the user asks about Solana wallet balances, token holdings, NFT holdings, transaction history, transfer activity, wallet identity/labels, wallet funding sources, parsing transactions, or other Solana on-chain data. Triggers on: "solana wallet", "sol balance", "solana transactions", "wallet history", "who funded this wallet", "wallet identity", "solana transfers", "solana NFTs", "helius", "check solana address", "solana data", "parse transaction", "enhanced transactions", "transaction details".
Self-learning system for crypto trading. Logs trades with full context (indicators, market conditions), analyzes patterns of wins/losses, and auto-updates trading rules. Use to log trades, analyze performance, identify what works/fails, and continuously improve trading accuracy.
Fetch and report Peloton cycling workout statistics. Use when the user wants to see their Peloton workout data, weekly cycling stats, ride history, or performance metrics. Hits the Peloton API directly (no dependencies) to pull total rides, duration, calories, output/power, and instructor data for cycling workouts.
Route tasks to verified human workers worldwide via Loopuman. Use when AI alone can't handle verification, translation, content moderation, image labeling, local knowledge, or subjective judgment. Results in minutes, paid in 8-second cUSD payments on Celo.
This skill provides a simple interface to the Memos API (https://usememos.com/docs/api). It lets you create, read, delete, and list memos from OpenClaw.
This skill should be used when the user asks to "find keywords", "keyword research", "what should I write about", "keyword difficulty score", "search volume data", "identify ranking opportunities", "topic ideas", "what are people searching for", "which keywords to target", "content ideas for [topic]", or "long-tail keyword suggestions". Discovers high-value keywords with search intent classification (informational/commercial/transactional/navigational), keyword difficulty (KD) scoring, monthly search volume (MSV), CPC estimates, and AI citation potential. Produces ranked keyword lists, topic clusters with pillar + cluster page assignments, and priority-scored content calendars. Works with Ahrefs, SEMrush, Google Keyword Planner, Google Search Console, or manual data input. For competitor keyword gaps, see competitor-analysis. For topic coverage gaps, see content-gap-analysis.
Use the VLM Run CLI (`vlmrun`) to interact with Orion visual AI agent. Process images, videos, and documents with natural language. Triggers: image understanding/generation, object detection, OCR, video summarization, document extraction, image generation, visual AI chat, 'generate an image/video', 'analyze this image/video', 'extract text from', 'summarize this video', 'process this PDF'.