AI Riksarkivet / AIRA
Official@ai-riksarkivet · Sweden
AI-lab at the Swedish National Archives. We work with AI-related R&D and product development.
Agent Skills by AI Riksarkivet / AIRA
Showing 24 vetted skills indexed across 3 GitHub repositories.
AI-Riksarkivetbuilding-pixijs
Integrate PixiJS v8 with SvelteKit using onMount guards and SSR safety.
AI-RiksarkivetEffect-TS + SvelteKit Expert
Guide implementing Effect-TS patterns in SvelteKit projects with TypeScript.
AI-Riksarkivettransformers-js
Run state-of-the-art ML models in JavaScript via the pipeline API.
AI-RiksarkivetApache Arrow JS
Create and serialize Arrow Tables and Vectors in JavaScript and TypeScript.
AI-Riksarkivethcp-frontend
Codify HCP UI frontend patterns for SvelteKit 2, Svelte 5 runes, and shadcn-svelte.
AI-Riksarkivetbuilding-with-dagger
Automate Go-based CI/CD workflows with the Dagger SDK.
AI-Riksarkivetshadcn-svelte-skill
Validate SKILL.md files and capture metadata into a YAML schema.
AI-Riksarkivetfastapi-templates
Generate FastAPI project templates with modular structure and async routes.
AI-Riksarkivethcp-backend
Enforce FastAPI and Pydantic v2 patterns with mock server conventions.
AI-Riksarkivethcp-sdk
Automate HCP S3, IIIF downloads, and bulk transfers with the rahcp Python SDK.
AI-Riksarkivetra-mcp-apps
Scaffold interactive MCP Apps with FastMCP backends and Svelte frontends.
AI-Riksarkivetadd-app-to-server
Pair MCP tools with HTML resources using the MCP Apps SDK.
AI-Riksarkivettesting-python
Guide writing and evaluating Python tests with pytest.
AI-Riksarkivetconvert-web-app
Convert existing web applications into hybrid MCP Apps with server-side registration.
AI-Riksarkivetupload-files
Upload local files to a Gradio server via POST requests to generate public URLs.
AI-Riksarkivethtr-transcription
Transcribe handwritten historical documents from image URLs via HTRflow MCP server.
AI-Riksarkivetarchive-search
Guide Solr searches in the Swedish National Archives with fuzzy matching and proximity operators.
AI-Riksarkivetview_document-guide
Guide users on operating the view_document tool for interactive historical document display.
AI-Riksarkivetarchive-research
Guide archival document research with citation standards and browsing strategies.
AI-Riksarkivetfeedback-ls
Send document pages to Label Studio for human feedback on transcriptions and segmentations.
AI-Riksarkivetrelease
Automate software releases by versioning, committing, tagging, and pushing.
AI-Riksarkivetzensical-authoring
Guide users through Zensical's Markdown extensions for advanced documentation authoring.
AI-Riksarkivetzensical-setup
Configure Zensical documentation sites via TOML and deploy to GitHub or GitLab Pages.
AI-Riksarkivetadd-mcp-package
Scaffold MCP workspace packages with standardized directories and configuration files.
Frequently Asked Questions About AI Riksarkivet / AIRA
FAQPage SchemaWhat specific archival tasks are supported by these resources?▼
These resources enable high-precision transcription of handwritten historical documents, fuzzy-matching searches within national archival databases, and the management of human-in-the-loop feedback cycles for document segmentation and verification.
Who is the target audience for these archival development resources?▼
The resources are designed for archival researchers, digital humanities developers, and software engineers building interfaces for historical document management, metadata standardization, and interactive archival data visualization.
What are the primary technical dependencies for implementing these archival interfaces?▼
Implementation requires familiarity with SvelteKit for frontend rendering, FastAPI for backend service orchestration, and specific integration patterns for IIIF image delivery and Solr-based search indexing.