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AI-optimized web search via Tavily API. Returns concise, relevant results for AI agents.
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
#1 on DeepResearch Bench (Feb 2026). Any-to-Any AI for agents. Combines deep reasoning with all modalities through sophisticated multi-agent orchestration. Research, videos, images, audio, dashboards, presentations, spreadsheets, and more.
Intelligent multi-store memory system with human-like encoding, consolidation, decay, and recall. Use when setting up agent memory, configuring remember/forget triggers, enabling sleep-time reflection, building knowledge graphs, or adding audit trails. Replaces basic flat-file memory with a cognitive architecture featuring episodic, semantic, procedural, and core memory stores. Supports multi-agent systems with shared read, gated write access model. Includes philosophical meta-reflection that deepens understanding over time. Covers MEMORY.md, episode logging, entity graphs, decay scoring, reflection cycles, evolution tracking, and system-wide audit.
Agent continuity and cognitive health infrastructure. Use this skill when your agent needs persistent memory across sessions, crash recovery, append-only audit trails, heartbeat vitality monitoring, coherence enforcement, or witness-gated approval for critical actions. Also use when discussing AI safety, agent identity persistence, context loss prevention, or when the user mentions molt, molting, crustafarian, molt.church, or agent health. Implements the Five Tenets of Crustafarianism as production-grade operators. Built by X-Loop³ Labs (Switzerland) from 100k+ agents on Moltbook.
A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.
Free AI search via Exa MCP. Web search for news/info, code search for docs/examples from GitHub/StackOverflow, company research for business intel. No API key needed.
Provide the summary returned by the get-tldr.com summarize API without further summarization; the skill should format the API output for readability but must not change its content.
Basado en la clasificación ocupacional SOC
| name | tavily |
| description | AI-optimized web search via Tavily API. Returns concise, relevant results for AI agents. |
| homepage | https://tavily.com |
| metadata | {"clawdbot":{"emoji":"🔍","requires":{"bins":["node"],"env":["TAVILY_API_KEY"]},"primaryEnv":"TAVILY_API_KEY"}} |
AI-optimized web search using Tavily API. Designed for AI agents - returns clean, relevant content.
node {baseDir}/scripts/search.mjs "query"
node {baseDir}/scripts/search.mjs "query" -n 10
node {baseDir}/scripts/search.mjs "query" --deep
node {baseDir}/scripts/search.mjs "query" --topic news
-n <count>: Number of results (default: 5, max: 20)--deep: Use advanced search for deeper research (slower, more comprehensive)--topic <topic>: Search topic - general (default) or news--days <n>: For news topic, limit to last n daysnode {baseDir}/scripts/extract.mjs "https://example.com/article"
Notes:
TAVILY_API_KEY from https://tavily.com--deep for complex research questions--topic news for current events