# Meta PDF Intelligence

> Use this meta-skill instead of answering directly when the user needs PDF analysis, pasted PDF excerpt analysis, digesting, comparison, or question answering that benefits from multi-skill orchestration across PDF extraction, summarization, cross-document synthesis, traceable evidence indexing, and memory capture.

- Skill: `tokenrhythm/meta-pdf-intelligence` (Agent Skill)
- Install (CLI): `npx skillmds@latest add tokenrhythm/meta-pdf-intelligence`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tokenrhythm/meta-pdf-intelligence/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Docs & Writing
- Author: tokenrhythm (https://skillmd.com/u/tokenrhythm)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tokenrhythm/meta-pdf-intelligence

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# PDF Intelligence (Meta-Skill)

Process one or more PDFs into a traceable analysis entry. The workflow first
classifies the request, preserves file/page evidence, synthesizes across
documents when needed, and stores a structured memory index.

## Fallback

LLM should manually run `pdf-toolkit` scripts then summarize and
`memory_save`.

