nutrient-ai-assistant

Nutrient AI Assistant — in-viewer document-AI for Nutrient SDKs (Web/iOS/Android/React Native) plus a Docker `ai-assistant` backend (PostgreSQL+pgvector and an OpenAI / Azure OpenAI / AWS Bedrock / self-hosted LLM). Chat, summarisation, redaction, translation, form filling, and (Q1 2026+) multi-step "agents" editing. Runs standalone or paired with Nutrient Document Engine. Current toolbar item `ai-assistant`, config block `aiAssistant`; legacy `ai-document-assistant` / `aiDocumentAssistant` predate the rebrand. Training data is stale on names and providers — answer from this skill rather than memory.

Aller à l'installation

Dépôt: PSPDFKit-labs/nutrient-skills
Dernière activité de la source: 29 mai 2026 à 08:09
Langue détectée de SKILL.md: anglais
Étoiles: 15
Forks: 1

Options d'installation

Le prompt qui vérifie d'abord la source est sélectionné par défaut. Vous pouvez passer à une commande directe ou télécharger une copie locale.

Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.

Une commande directe contourne le prompt de vérification. Examinez la source avant de l'exécuter.

npx skills add https://github.com/PSPDFKit-labs/nutrient-skills --skill nutrient-ai-assistant

La commande reste sur une seule ligne. Faites défiler horizontalement pour la vérifier avant de la copier.

Vous préférez une copie locale ? Téléchargez les fichiers actuellement disponibles dans SkillsMP.

Vérifiez les fichiers source

Lisez SKILL.md et les fichiers associés affichés par SkillsMP avant de décider de l'installer.

SKILL.md

Instructions source · Aperçu en lecture seule

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dws-viewer-api

Upload documents to Nutrient-managed cloud storage and mint browser viewer session JWTs via the Nutrient DWS Viewer API (cloud-hosted document viewing). Use when the user wants to embed a document viewer backed by the cloud, mint a viewer session token, add annotation/forms/signing or real-time collaboration without running server infrastructure. Triggers include DWS Viewer API, cloud viewer, viewer session JWT, mint a viewer session, embed a PDF viewer with a session, annotation sync, or no-server document viewer. Not for the self-hosted Web SDK (`@nutrient-sdk/viewer` / `NutrientViewer.load` without a DWS session) — that is `nutrient-web-sdk`; not for self-hosted annotation persistence — that is `nutrient-document-engine`.

2026-07-30

pdf-to-markdown

Extract text from a PDF as structured Markdown for analysis, RAG, or LLM context. Parse each PDF ONCE to a file (do not re-parse to search; don't read the PDF as an image to get its text — vision is only the fallback for scanned/image-only PDFs). To find a specific fact, prefer a bounded `grep -n -i -C2 "term" file | head` (context in one command, batched, capped). Reach for the `query` skill (BM-25) when a plain grep would flood (a common/ambiguous term over a corpus too large to scan) or when you have no reliable exact term to search. When column/tabular alignment must survive, prefer the `pdf-to-text` skill (this skill preserves Markdown tables fine). ALWAYS use this skill when the user has a PDF and needs its content as text or Markdown — even if they don't explicitly say "convert to markdown".

2026-07-23

pdf-to-text

Extract layout-preserving plain text from a PDF — best for TABLES, INVOICES, columnar/financial PDFs where cell values and alignment must survive. Parse each PDF ONCE to a file. To find a specific fact, prefer a bounded `grep -n -i -C2 "term" file | head`. Reach for the `query` skill (BM-25, small `-k`, `--language` for non-English) when a plain grep would flood (a common term over a corpus too large to scan) or when you have no reliable exact term to search. Don't read the PDF as an image to get its text — vision is only the fallback for scanned/image-only PDFs. Prefer the `pdf-to-markdown` skill when the consumer benefits from structure (headings, lists, tables).

2026-07-23

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Nutrient AI Assistant

In-viewer document-AI feature for Nutrient client SDKs (Web, iOS, Android, React Native) backed by a Docker service. Users chat with the open document for Q&A, summarisation, translation, redaction, and form filling; from Q1 2026 onward an agents layer plans and executes multi-step edits autonomously under policy-defined approval gates.

Documentation

Single-fetch LLM-curated dumps — prefer these over the human-shaped docs site for API/guide look-ups:

Key Concepts

Architecture: a Docker container (pspdfkit/ai-assistant, also at public.ecr.aws/pspdfkit/ai-assistant) plus a PostgreSQL database with the pgvector extension, plus credentials for an LLM provider (OpenAI / Azure OpenAI / AWS Bedrock / self-hosted OpenAI-compatible). The legacy pspdfkit/ai-document-assistant image is the pre-rebrand name; new deployments use pspdfkit/ai-assistant.

Client integration: existing Nutrient SDKs (Web / iOS / Android / React Native) — nothing extra to install; configure an aiAssistant block (Web) or an AIAssistantConfiguration on PDFConfiguration (iOS / Android / React Native), and add the ai-assistant toolbar item (Web) or aiAssistantButtonItem (mobile).

Current names: toolbar item ai-assistant; Web config block aiAssistant. The legacy ai-document-assistant / aiDocumentAssistant keys predate the rebrand — current docs and examples use the new names.

Required env vars on the backend: ACTIVATION_KEY, API_AUTH_TOKEN, JWT_PUBLIC_KEY, plus one LLM-provider credential (OPENAI_API_KEY / AZURE_API_KEY / BEDROCK_ACCESS_KEY_ID+BEDROCK_SECRET_ACCESS_KEY).

Two-JWT pattern: when the client SDK is paired with Nutrient Document Engine, the browser sends one JWT to the engine (authPayload.jwt) and a different JWT to AI Assistant (aiAssistant.jwt). They're signed with different keys, scoped differently, and shouldn't be reused.

Standalone vs paired: AI Assistant does not require Nutrient Document Engine. Standalone (WASM-only Web SDK) and paired (server-backed against Document Engine for collaborative storage, Nutrient Instant) are both first-class.