run-llama.

effective-liteparse

Use this skill whenever a task involves a document file (PDF, DOCX, PPTX, XLSX, or image) and you need to read it or pull text, tables, or specific values out of it — to answer a question about its contents, look up a figure, or extract data. Provides fast, local, model-free extraction via the `lit` CLI with disciplined, low-cost search patterns.

liteparse-targeted

Use this skill whenever a task involves a document file (PDF, DOCX, PPTX, XLSX, or image) and you need to read it or get text, tables, or specific values out of it — including to answer a question about its contents, look up a figure, extract data, or convert it to text/JSON. Provides fast, local, model-free extraction with no cloud or API key. Reach for this instead of ad-hoc pdftotext/pypdf/textract whenever a question or task references a document file.

dpp-parse

Convert a document's pages (PDF pages or page images) into Markdown that conforms to the Document Representation Protocol (working title) — how tables, headings, lists, forms, charts, diagrams and marks on the page are interpreted, and exactly how each is written in Markdown. Optionally also produce a sidecar JSON with a box for every element. Use when asked to parse, transcribe or convert a document to Markdown.

preinstall-check

Validate a values.yaml and verify cluster + dependency reachability before running `helm install` for the LlamaCloud chart. Use when the user says "preinstall check", "validate my values", "check before install", "preflight", or before any first-time install or upgrade. Performs static schema validation, cluster capacity inspection, local network probes, and read-only routing checks against managed cloud services (AWS / Azure / GCP). Fully read-only by default; only one optional phase can create a short-lived Job, and only with explicit user consent.

llamactl-qa

Plan and run a design-QA / "taste test" of llamactl changes against a real backend. Cooperatively builds a small matrix of cases worth eyeballing, runs them against a chosen backend (test environment by default, local kind+tilt for new API contract changes), and writes a design-review report to `thoughts/shared/qa/`. Use this for changes to `llamactl` commands, output formats, auth, or control-plane API contracts. For UI/template smoke tests, use `llamactl_browser_test` instead.

llamaparse-mcp

Skill on how to use the LlamaParse MCP tools

liteparse

Use this skill whenever a task involves a document file (PDF, DOCX, PPTX, XLSX, or image) and you need to read it or pull text, tables, or specific values out of it — to answer a question about its contents, look up a figure, or extract data. Provides fast, local, model-free extraction via the `lit` CLI with disciplined, low-cost search patterns.

llamacloud-index

Use this skill whenever a question should be answered from documents stored in a LlamaCloud Index v2 knowledge base — retrieving passages, locating indexed files, or searching indexed content through the LlamaParse Platform REST API with curl. Teaches agentic retrieval — navigating an index like a file system instead of one-shot RAG.

llamaparse

Use this skill when the user asks to parse the content of an unstructured file (PDF, PPTX, DOCX...)

Classify files according to specific rules

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.

Extract structured data from unstructured files (PDF, PPTX, DOCX...)

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.

PDF Processing

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.

Retrieve relevant information through RAG

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 - a CLI tool for LlamaAgents

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.