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camel-ai

Use CAMEL-AI to build, configure, tool, remember, evaluate, and troubleshoot multi-agent Python systems with self-contained routing across agents, models, tools, RAG, and evaluation workflows.

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VectorSpaceLab/AREX-Skill

集成工具Docker

查看安装方法

包含的文件（36）

SKILL.md3.8 KB
references/package-overview.md2.3 KB
references/repo-provenance.md1.5 KB
references/repo-routing-metadata.json480 B
references/troubleshooting.md2.6 KB
scripts/inspect_camel_install.py3.2 KB
sub-skills/agents-and-societies/references/api-reference.md10.7 KB
sub-skills/agents-and-societies/references/troubleshooting.md8.3 KB
sub-skills/agents-and-societies/references/workflows.md10.5 KB
sub-skills/agents-and-societies/scripts/inspect_agent_basics.py6.1 KB
sub-skills/agents-and-societies/SKILL.md3.5 KB
sub-skills/datagen-evaluation-and-benchmarks/references/api-reference.md5.8 KB
sub-skills/datagen-evaluation-and-benchmarks/references/benchmarks.md4.6 KB
sub-skills/datagen-evaluation-and-benchmarks/references/troubleshooting.md5.1 KB
sub-skills/datagen-evaluation-and-benchmarks/references/workflows.md5.1 KB
sub-skills/datagen-evaluation-and-benchmarks/scripts/inspect_eval_components.py7.2 KB
sub-skills/datagen-evaluation-and-benchmarks/SKILL.md2.4 KB
sub-skills/memory-rag-and-data/references/api-reference.md9.3 KB
sub-skills/memory-rag-and-data/references/data-workflows.md7.1 KB
sub-skills/memory-rag-and-data/references/storage-selection.md7.0 KB
sub-skills/memory-rag-and-data/references/troubleshooting.md7.5 KB
sub-skills/memory-rag-and-data/references/workflows.md7.8 KB
sub-skills/memory-rag-and-data/scripts/inspect_rag_components.py9.9 KB
sub-skills/memory-rag-and-data/SKILL.md3.2 KB
sub-skills/models-and-configuration/references/api-reference.md7.3 KB
sub-skills/models-and-configuration/references/configuration.md6.0 KB
sub-skills/models-and-configuration/references/provider-patterns.md5.9 KB
sub-skills/models-and-configuration/references/troubleshooting.md7.3 KB
sub-skills/models-and-configuration/scripts/inspect_model_registry.py6.3 KB
sub-skills/models-and-configuration/SKILL.md3.2 KB
sub-skills/tools-runtimes-and-services/references/api-reference.md6.6 KB
sub-skills/tools-runtimes-and-services/references/runtime-service-patterns.md7.2 KB
sub-skills/tools-runtimes-and-services/references/toolkit-catalog.md5.4 KB
sub-skills/tools-runtimes-and-services/references/troubleshooting.md6.5 KB
sub-skills/tools-runtimes-and-services/scripts/inspect_tool_schema.py3.2 KB
sub-skills/tools-runtimes-and-services/SKILL.md2.8 KB

SKILL.md（原文）

安装前可以查看交给 AI 代理的指令内容。

CAMEL-AI Repo Skill

Use this repo skill when a task mentions CAMEL-AI, camel-ai, the camel Python package, ChatAgent, RolePlaying, Workforce, CAMEL toolkits, CAMEL model backends, CAMEL memory/RAG, or CAMEL benchmark/datagen/evaluation workflows.

First Checks

Install the base package with pip install camel-ai for core agents, models, messages, tools, and package imports.
Install only the optional extras needed for the chosen workflow, such as camel-ai[model_platforms], camel-ai[rag], camel-ai[storage], camel-ai[document_tools], camel-ai[web_tools], or camel-ai[dev_tools].
Run scripts/inspect_camel_install.py for a no-network import, version, and route check.
Read references/troubleshooting.md before installing broad extras, debugging provider credentials, or running network/Docker/browser/benchmark workflows.

Route By Task

Task or signal	Read
Build a `ChatAgent`, system/user/assistant messages, task tree, role-playing society, or `Workforce`	sub-skills/agents-and-societies/SKILL.md
Configure model providers, `ModelFactory`, `ModelManager`, provider enums, local/OpenAI-compatible endpoints, structured output, audio, or multimodal models	sub-skills/models-and-configuration/SKILL.md
Attach `FunctionTool`, built-in toolkits, MCP/OpenAPI tools, code execution, interpreters, runtimes, browser/Docker/terminal tools, or CAMEL services	sub-skills/tools-runtimes-and-services/SKILL.md
Add memory, retrieval/RAG, embeddings, vector/key-value/object/graph stores, loaders, datahubs, or datasets	sub-skills/memory-rag-and-data/SKILL.md
Generate synthetic data, use data collectors, run verifiers/environments, or plan CAMEL benchmarks	sub-skills/datagen-evaluation-and-benchmarks/SKILL.md

Cross-Cutting References

references/package-overview.md summarizes package surfaces, optional extras, and support modules such as prompts, personas, schemas, responses, caches, parsers, configs, and utilities.
references/troubleshooting.md covers install/import failures, optional dependencies, credentials, data/config validation, and workflow-specific escalation.
references/repo-provenance.md records the source commit, package version, evidence paths, and dirty-state baseline used to create this skill.
references/repo-routing-metadata.json is structured metadata for the managed repo-skills-router import process.

Safety And Scope

Start with credential-free inspection scripts and constructor/signature checks before calling models, services, datasets, browsers, Docker, or remote vector stores.
Do not install camel-ai[all] by default in automated environments; select extras by workflow to avoid heavyweight or unsupported optional dependencies.
Treat source examples and native tests as evidence; this skill is self-contained and does not require the original repository checkout at runtime.
Keep API keys, service URLs with secrets, OAuth tokens, model credentials, and local data paths outside generated prompts and skill files.

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