Intelligently routes natural language user intents to the best matching registered agent skill using keyword and semantic matching with confidence scores.
Academic citation lookup and formatter. Given a fuzzy paper title (Chinese or English), searches CrossRef, Semantic Scholar, Baidu Scholar, and CNKI, then re...
Next.js 15/16 App Router patterns — async APIs, caching semantics, Turbopack, Server Components, Route Handlers, and migration from v14
Load and validate anime character data from AniList and Jikan, generating semantically checked SOUL.generated.md with forced disambiguation and idempotent me...
Transcribe, index, and semantically search all voice recordings, extracting action items and meeting insights for comprehensive conversation intelligence.
--- name: pgmemory version: 1.2.0 description: Persistent semantic memory for OpenClaw agents — PostgreSQL + pgvector author: jbushman tags: [memory, postgresql, pgvector, embeddings, agents] --- #
Comprehensive security suite for OpenClaw skills. Includes static scanning (AST + keywords) and AI-powered semantic behavior review to detect malicious code.
--- name: code-cache description: Semantic code caching for AI agents. Cache, retrieve, and reuse code from prior agent executions. metadata: {"openclaw":{"emoji":"🏄","homepage":"https://raysurfer.
Use this skill to access Reddit's full data archive via reddapi.dev API. Features semantic search, subreddit discovery, and real-time trend analysis. Perfect for market research, competitive analysis,
Strict semantic firewall with Human-in-the-Loop execution authorization. Airgaps external data and enforces zero-trust environment.
Compress text semantically with iterative validation, anchor checksums, and verified information preservation.
Provide long-term memory persistence for AI agents with SQLite-backed storage, structured metadata, vector embeddings, semantic retrieval, lifecycle manageme...
--- name: vanar-neutron-memory description: Save and recall agent memory with semantic search. Context that persists across every session. user-invocable: true metadata: {"openclaw": {"emoji": "🧠",
PullThatUpJamie — Podcast Intelligence. A semantically indexed podcast corpus (109+ feeds, ~7K episodes, ~1.9M paragraphs) that works as a vector DB for podc...
Manage vector storage and similarity search using TOS Vectors service. Use when working with embeddings, semantic search, RAG systems, recommendation engines, or when the user mentions vector database
Provides persistent, semantic, and secure AI memory with knowledge graphs, decay-based forgetting, contradiction detection, and multi-layer defence against m...
Fast local search for markdown files, notes, and docs using qmd CLI. Use instead of `find` for file discovery. Combines BM25 full-text search, vector semantic search, and LLM reranking—all running l
RAG and semantic search via OpenViking Context Database MCP server. Query documents, search knowledge base, add files/URLs to vector memory. Use for document Q&A, knowledge management, AI agent memory
Read GitHub repos the RIGHT way - via gitmcp.io instead of raw scraping. Why this beats web search: (1) Semantic search across docs, not just keyword matching, (2) Smart code navigation with accurate
Add abstracts to .bib file entries by searching academic databases (arXiv, Semantic Scholar, CrossRef) with browser fallback.
Local offline cognitive memory for AI agents providing semantic recall, GTD todos/projects, and a knowledge graph with Hebbian learning and a TUI dashboard.
Search and retrieve markdown documents from local knowledge bases using qmd. Supports BM25 keyword search, vector semantic search, and hybrid search with LLM re-ranking. Use for querying indexed notes