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Wikipedia-AI-Skills
Wikipedia-AI-Skills contains 47 collected skills from fuzheado, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
Deploy Python web services on Wikimedia Toolforge — Flask (WSGI) and FastAPI (ASGI), gunicorn/uvicorn, Build Service and traditional Kubernetes backends, virtual environments, pip caching, PORT configuration, static files, logging, and common pitfalls
Understand and work with English Wikipedia's WikiProject system — finding relevant projects, interpreting assessment tables, using Popular pages and work lists, and navigating project directories
Understand and query Wikidata — the free, collaborative, multilingual knowledge graph that underpins Wikipedia's inter-language links, Commons structured data, and semantic facts across all Wikimedia projects. Covers SPARQL, the Wikibase REST/Action APIs, RDF data dumps, and semantic web concepts
Query Wikidata by meaning, concept, or natural-language description — not just by exact label match. Uses semantic embeddings to find items (QIDs) and properties (PIDs) via vector similarity, keyword search, and Reciprocal Rank Fusion. Covers fuzzy semantic search, concept matching, similarity lookups, cross-lingual queries, and "find like this" when you do not know the exact QID or label
Design multilingual Toolforge tools — message files and ICU plurals, language detection and fallback chains, RTL/bidi layout, Unicode normalization and pitfalls, cross-wiki domain mapping, batch Wikidata label fetching, and avoiding English Wikipedia assumptions
Deploy and manage Node.js web services on Wikimedia Toolforge Kubernetes — zero-dependency server patterns, webservice commands, PORT configuration, static file serving with caching headers, npm on NFS, environment variables, logging, and common pitfalls
Manage Toolforge accounts, web services, Kubernetes pods, cron jobs, and file deployment for Wikimedia tools
Resolve Wikimedia Commons file references (File:Example.jpg) to browser-usable HTTP URLs — direct origin URLs, thumbnails, Special:FilePath redirects, cache-busting with timestamps, Action API imageinfo queries, and CORS-aware serving patterns for web applications
Use PetScan for multi-source Wikimedia queries — category intersections, template filtering, SPARQL integration, Wikidata item queries, and bulk data export via the URL API and PSID system
Generate, construct, and retrieve raster thumbnail previews for any Wikimedia Commons file — thumb URL scheme, iiurlwidth/iiurlheight Action API pattern, thumbmime format conversion matrix (raster downscale, SVG→PNG, PDF→JPEG, video keyframes), responsive/retina URLs, REST API thumbnails, SPARQL thumbnailUrl, and caching behavior
Consume real-time streams of Wikimedia events (edits, page creations, deletions, moves, log entries) via Server-Sent Events (SSE). Covers the EventStreams HTTP service, stream schemas, client libraries (Python/JS/curl), filtering, historical replay, canary handling, auto-reconnect, and building live dashboards, patrol monitors, and cross-wiki trackers
Build tools that respect Wikimedia user privacy and security — data minimization, suppressed/deleted revision handling, deanonymization risks, AbuseFilter and block awareness, XSS prevention in gadgets/apps, and data retention policies for Toolforge tools
Parse, extract, and manipulate Wikipedia and MediaWiki wikitext (wiki markup, templates, infoboxes, citations, links) using proper AST-based tooling instead of fragile regex patterns
Work with Wikivoyage — the free, collaborative, multilingual travel guide. Covers destination articles, listing templates (See/Do/Buy/Eat/Drink/Sleep), dynamic maps (Kartographer), the geographical hierarchy, breadcrumb navigation, article status, image policy, Wikidata integration, and batch operations
Access Wikipedia and Wikimedia APIs (REST, Action API, SPARQL) with correct User-Agent headers, rate limiting, and 429/403 error handling
Authenticate Wikimedia API clients for editing, patrol, upload, and user-specific operations — OAuth 1.0a/2.0 flows, bot passwords, CSRF tokens, permission checks, and secure credential storage for standalone tools and web apps
Work with audio and video files on Wikimedia Commons — format policies and patent restrictions, uploading and transcoding with video2commons, metadata via the Action API (duration, sample rate, codecs, resolution), keyframe thumbnails for video, the TimedMediaHandler player widget, TimedText subtitles, the transcoding pipeline, and creating derivative clips from existing media
Work with PDF and DjVu documents on Wikimedia Commons — multi-page document model, page selection for thumbnails (page1- prefix), page dimensions, uploading large documents, Wikisource proofread integration, OCR text extraction, document metadata (pagecount, PDF version), and editing/versioning multi-page files
Add, edit, and manage Structured Data on Commons (SDC) — MediaInfo captions, depicts statements, copyright and license metadata, qualifiers, references, and batch/GLAM workflows via the Wikibase Action API, web UI, and community tooling
Work with SVG files on Wikimedia Commons — viewing and retrieving raw SVG source vs PNG preview, W3C validation badges, creation tools (Inkscape, Illustrator), optimization (scour, SVGO), versioning and diffing SVG revisions, SVG-specific templates and categories, structured data for vector files, and animated SVG considerations
Master Wikipedia citations — CS1/CS2 templates, Wayback Machine archiving, dead link detection, bare URL expansion, citation maintenance, and reference validation
Handle HTTP errors, rate limits, and API failures when interacting with Wikimedia APIs — retry strategies, backoff patterns, error response formats, and recovery procedures for the Action API, REST API, SPARQL, Lift Wing ML, and EventStreams
Work with Wiktionary (dictionary entries, translation tables, etymologies, audio pronunciations, lexemes) and Wikisource (proofread page workflow, OCR text extraction, quality validation, compiled works) - the two largest Wikimedia content projects after Wikipedia
Score article quality, revert risk, edit quality (goodfaith/damaging), readability, topic classification, reference quality, language identification, content translation recommendations, article descriptions, and article country using Wikimedia ML inference APIs (Lift Wing and legacy ORES)
Navigate and understand the structure of a Wikipedia article — infoboxes, categories, references, templates, navboxes, redirects, disambiguation, and protection levels
Navigate, participate in, and understand Wikipedia talk pages — includes modern DiscussionTools (Reply Tool, Topic Subscriptions, Permalinks), Usability Improvements, community gadgets, wikitext conventions, WikiProject banners, archives, and talk page etiquette
Evaluate whether a subject meets Wikipedia notability guidelines — the General Notability Guideline (GNG), all 13 subject-specific SNGs with decision trees, source quality evaluation, structured report generation, AfD-ready summaries, and common invalid arguments
Analyze whether a Wikipedia page's references contain URLs — detect bare plain-text citations, template-based citations without url= parameters, shortened footnotes, and named ref reuse. Useful for article quality assessment, NPP triage, and citation maintenance
Search, upload, and understand Wikimedia Commons — the free media repository of images, video, sound, 3D files, PDFs, and other media used across Wikipedia and its sister projects. Browse categories, find reusable media, and retrieve file metadata
Fetch, compare, and interpret diffs between Wikipedia page revisions — wikitext changes, visual differences, and diff statistics via the Action API and REST API
Query Wikipedia article quality (FA/GA/B/C/Start/Stub) and importance ratings from WikiProject assessment banners on any Wikimedia wiki with the PageAssessments extension
Retrieve traffic and popularity statistics for Wikipedia articles using cached SQL properties (sorting/filtering) or the REST API (precise historical data)
Understand and work with Wikipedia's category system — category trees, the three tests for valid categories (Verifiable/Neutral/Defining), topic vs set categories, sort keys and DEFAULTSORT, querying via API, overcategorization rules, and category maintenance workflows
Audit an English Wikipedia article for structural issues, factual errors, and NPOV violations, then produce a machine-readable task graph (DAG) that another agent can execute to fix all identified problems
Draft and edit English Wikipedia biographies following NPOV, verifiability, no original research, and biographies of living persons (BLP) policies
Create, design, and understand Wikipedia and MediaWiki templates — template syntax, parser functions, magic words, transclusion vs substitution, Lua modules, template types taxonomy, API detection, and maintenance workflows
Create, parse, style, and fix MediaWiki wikitable syntax — delimiters, header/data cells, CSS classes, inline styling, rowspan/colspan, accessibility attributes, sortable and collapsible tables, and programmatic table generation from data
Build navigation systems in MediaWiki — menu bars, subpage hierarchies, breadcrumbs, tabs, and the template logic that powers them. Covers
Work with the Translate extension for multilingual wiki content — marking pages for translation, writing translatable templates, using
Use Pywikibot — the Python library and CLI tool suite for automating work on MediaWiki sites (Wikipedia, Wikidata, Commons, and any other MediaWiki wiki). Covers installation, configuration, the core object model, page generators, the bot framework, built-in scripts, and Wikidata/Commons integration