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Invoke this skill BEFORE implementing any text extraction/parsing logic to learn how to use LlamaParse to process any document accurately. Requires llama_cloud_services package and LLAMA_CLOUD_API_KEY as an environment variable.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Invoke this skill BEFORE implementing any structured data extraction from documents to learn the correct llama_cloud_services API usage. Required reading before writing extraction code. Requires llama_cloud_services package and LLAMA_CLOUD_API_KEY as an environment variable.
Invoke this skill BEFORE implementing any text/document classification task to learn the correct llama_cloud_services API usage. Required reading before writing classification code." Requires the llama_cloud_services package and LLAMA_CLOUD_API_KEY as an environment variable.
Leverage Retrieval Augmented Generation to retrieve relevant information from a a LlamaCloud Index. Requires the llama_cloud_services package and LLAMA_CLOUD_API_KEY as an environment variable.
Use llamactl to initialize, locally preview, deploy and manage LlamaIndex workflows as LlamaAgents. Required llama-index-workflows and llamactl to be installed in the environment.
| name | PDF Processing |
| description | Invoke this skill BEFORE implementing any text extraction/parsing logic to learn how to use LlamaParse to process any document accurately. Requires llama_cloud_services package and LLAMA_CLOUD_API_KEY as an environment variable. |
Extract text:
from llama_cloud_services import LlamaParse
parser = LlamaParse(
parse_mode="parse_page_with_agent",
model="openai-gpt-4-1-mini",
high_res_ocr=True,
adaptive_long_table=True,
outlined_table_extraction=True,
output_tables_as_HTML=True,
result_type="markdown",
project_id=project_id,
organization_id=organization_id,
)
result = parser.parse("./my_file.pdf")
documents = result.get_markdown_documents(split_by_page=True)
full_text = ""
for document in documents:
full_text += document.text + "\n\n---\n\n"
For more detailed code implementations, see REFERENCE.md.
The llama_cloud_services package must be installed in your environment:
pip install llama_cloud_services
And the LLAMA_CLOUD_API_KEY must be available as an environment variable:
export LLAMA_CLOUD_API_KEY="..."