builtin-llm-models
Reference for Manus's built-in LLM catalog and how to call it correctly.
Skill by PhateValleyman
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: ml, writing
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What's inside
- Skill name
builtin-llm-models- Description
- Reference for Manus's built-in LLM catalog and how to call it correctly. Read this BEFORE writing any script that calls LLMs in bulk (summarization, translation, classification, extraction, deep analysis, judging/evaluation, map/parallel fan-out) inside the sandbox, AND before using the built-in LLM in a webdev project (invokeLLM / listLLMModels). Use it to discover which models exist, each model's price/capabilities, how to pick one, the exact request shapes (thinking/reasoning, JSON-schema structured output, vision, tools), and the per-model gotchas (max-token handling, reasoning syntax) verified against the live proxy.
- License
- unknown
- Instructions
- 327 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
- Instructions call the network
Files (2)
- SKILL.md
- llm_batch.py · scripts/
The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub
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No description from the publisher yet.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 6, 2026 (24 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- License unknown
- Repository
- github.com/PhateValleyman/ai-skills-sync
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
builtin-llm-models skill. Agent Mart. https://agentmart.dev/skills/phatevalleyman-builtin-llm-models (last updated 2026-10-24)