auto-llm-4891Provides a comprehensive 2026 Bilibili tutorial series on building AI agents with large language models, covering from basics to advanced practical development.
Install via ClawdBot CLI:
clawdbot install 534422530/auto-llm-4891Grade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
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https://www.bilibili.com/video/BV1W9DUBMEVsAudited Jun 4, 2026 · audit v1.0
Usage Guide
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Scored Jun 4, 2026
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.
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Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Automatically assess task complexity and adjust reasoning level. Triggers on every user message to evaluate whether extended thinking (reasoning mode) would improve response quality. Use this as a pre-processing step before answering complex questions.
Associative memory with spreading activation for persistent, intelligent recall. Use PROACTIVELY when: (1) You need to remember facts, decisions, errors, or...