vector-memory
Vector Memory Skill
This skill provides vector-based semantic memory storage using embeddings for intelligent recall by meaning.
When to Use
- You need semantic search (find memories by meaning, not keywords)
- You want to retrieve similar documents or conversations
- You're building an agent that needs context-aware memory
- You need to cluster or group related memories
Capabilities
- vstore: Store text with automatic embedding generation
- vsearch: Search memories by semantic similarity
- vdelete: Remove a memory by ID
- vlist: List all stored memories
- vsimilar: Find memories similar to a given ID
- vclear: Clear all memories
More from winsorllc/upgraded-carnival
model-router
Route requests between different LLM providers and models. Configure routing rules, fallback providers, and model-specific parameters inspired by ZeroClaw and OpenClaw model routing systems.
68rss-monitor
Monitor RSS/Atom feeds and blogs for new content using feedparser.
62rss-reader
Read and parse RSS/Atom feeds. Use when: user wants to subscribe to feeds, get latest articles, or monitor news sources.
56schedule-task
Create and manage scheduled shell tasks. Use when: automating recurring operations. NOT for: sending messages (use cron agent).
44video-frames
Production-grade video frame extraction with thumbnail grids, GIF creation, and batch frame processing. Includes intelligent quality presets, progress tracking, and comprehensive error handling.
39elevenlabs-tts
Convert text to speech using ElevenLabs API. Use when you need to generate voice audio for messages, narrations, or accessibility.
32