ur-grue

Adapts a podcast episode or series format for broadcast radio, identifying and resolving the structural, editorial, and regulatory differences between on-demand and live scheduled audio.

Produces a structured brief summarising the permit requirements, access restrictions, and key contacts needed to film or photograph at a specific location.

Drafts a formal, legally complete Freedom of Information Act request letter to a U.S.

Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or

Reviews a story brief, draft article, or broadcast script and flags potential legal risks — including defamation, privacy, contempt of court, and data protection — so you know what to check before publication.

Recommends the best platforms for distributing a finished piece of content, with a ranked list and a brief rationale for each recommendation based on the content type, format, length, and intended audience.

Produces a clear, specific description of who a piece of content is written for — including what that audience already knows, what they care about, and what they will do with the information — so editors, writers, and distributors can make better decisions at every stage of production.

Use this skill whenever the user wants to create or edit .docx (Microsoft Word) files. This includes creating new Word documents from scratch, editing existing Word documents, extracting content from Word files, converting between formats, adding images or other content to Word files, or manipulating Word file structure. If the user mentions .docx, Word, DOCX, or wants to produce a Word document,

Produces a correctly formatted bibliography or source list from details you provide, supporting AP, Chicago (Notes-Bibliography), and APA citation styles.

Reads a batch of reader comments and produces a structured summary of recurring themes, unanswered questions, emotional tone, and actionable editorial signals — so editors and journalists can understand what their audience actually took from a piece.

Produces a structured summary of what a dataset contains, what it covers, what its limitations are, and what story angles it could plausibly support — written as a briefing document for a journalist or editor.

Rewrites a complex statistic — including percentage changes, relative risk, confidence intervals, medians, and index numbers — in plain language that a general audience can understand without sacrificing factual accuracy.

Produces a structured extraction plan and clean spreadsheet template for pulling tabular data out of a PDF document — identifying the table structure, defining column headers, flagging extraction pitfalls, and providing a ready-to-use template that ensures the data lands in a consistent, analysable format.

Recommends the most effective chart type for your data and editorial goal, explains why it works, and warns you about common misrepresentations.

Writes a detailed, production-ready brief for an infographic designer from raw data or findings — specifying the story, the key figures, the recommended visual approach, the hierarchy of information, and the format requirements.

Scans a draft for repeated ideas, redundant phrases, and unnecessary word clusters, then delivers a flagged report and a tightened version of the text without altering meaning or voice.

Takes two versions of the same text — a before and an after — and produces a plain-English summary of every meaningful change: what was added, cut, reworded, restructured, and why each change is likely to matter editorially.

Generates the complete set of metadata fields — tags, categories, keywords, slug, and summary — needed to publish a piece of content in a content management system, ready to copy and paste into each field.

Reviews the details of a specific image and flags potential rights clearance issues before publication, identifying which permissions you likely need and which questions to bring to your legal or picture desk.

Recommends the best day and time to publish a piece of content based on the content type, platform, and intended audience — without requiring access to live analytics data.

Identifies the newsworthy story or stories hidden inside a dataset before any writing begins — surfacing angles, outliers, trends, and comparisons that are genuinely publishable.

Analyses poll or survey results and writes a clear, accurate, publication-ready explanation for a general audience — covering the headline finding, key subgroup breakdowns, methodology caveats, and what the numbers do and do not mean.

Drafts a Freedom of Information request specifically targeting datasets, databases, or digital records — written to maximise the chance of receiving complete, machine-readable data rather than summary PDFs or partial tables.

Writes a precise, publication-standard corrections notice for a data error published in an article — stating clearly what was wrong, what the correct figure is, and how the error affected the reported story.

Writes a plain-language explanation of a data journalism methodology — what data was used, where it came from, how it was processed, and what the analysis found — suitable for publication alongside a data story.

Writes clear, precise axis labels, legends, annotations, and source lines for a chart — the text layer that makes a graphic publishable.

Drafts a GDPR compliance note for a specific piece of journalistic content or data collection activity — documenting the lawful basis for processing personal data, what data is held, how long it is retained, and who has access.

Takes one original headline and produces five distinct tested variants, each using a different proven approach to drive clicks, shares, or engagement — ready to load directly into a CMS or A/B testing tool.

Generates two or three distinct social media post variants for the same article or piece of content, each testing a different angle, hook, or emotional register, so you can run a controlled comparison and learn what resonates with your audience.

Writes precise, publication-standard footnotes for data claims in a finished article — citing sources accurately, explaining how figures were derived where necessary, and flagging any caveats that qualified readers need to know.

Generates 6–8 distinct editorial angles from a broad topic or news event, each with a unique perspective, target audience, and reporting approach.

Performs and explains basic statistical calculations — percentages, percentage changes, per-capita rates, averages, medians, and ratios — from data you provide, showing the working so you can verify it and use the figures confidently in a story.

Identifies unusual values, unexpected patterns, and potential stories hidden in a dataset by systematically checking for statistical outliers and contextual anomalies.

Writes clear, step-by-step instructions for cleaning a messy or inconsistent dataset — specifying exactly what needs to be standardised, corrected, or removed to make the data ready for analysis and publication.

Writes a clear, technical brief describing exactly what data needs to be collected from a website or set of web pages, how it should be structured, and what edge cases and legal/ethical considerations apply — for handoff to a developer or data team.

Formats raw or messy data into a clean, publication-ready table with appropriate headers, sorted rows, consistent number formatting, and a source note — ready to drop into an article, report, or web page.

Reviews a draft for statements that carry a credible risk of defamation, producing a flagged checklist of red-flag passages with a plain-language explanation of why each is potentially problematic.

Proofread a piece of text and return it with all spelling, grammar, punctuation, and typographical errors corrected — preserving the author's voice and intentional style choices throughout.

Checks a script against a specified style guide and returns a prioritised list of violations with corrections.

Takes a draft with identified or suspected structural weaknesses and produces a concrete restructuring plan — including a recommended section order and the reasoning behind each change.

Reviews a draft article and returns a structured list of grammatical errors, style inconsistencies, and clarity issues — each flagged with a specific suggested correction and a brief rationale.

Compares two versions of an article and produces a structured change report — highlighting substantive edits, additions, deletions, and tone shifts — so the editor or writer can quickly understand what changed and assess whether the revisions improved the piece.

Produces a structured research brief for a reporter starting a new story assignment — covering the key questions to answer, the types of sources to seek, documents to obtain, and potential story angles to investigate.

Writes a precise, accessible text description of a data visualization — covering the chart type, what it shows, the key finding, and the data range — suitable for publication as a caption, alt-text, or standfirst alongside the chart.

Reads a draft article or script and flags every assertion of fact that lacks a named source, adding an inline `[NEEDS SOURCE]` marker so editors can see exactly where attribution is missing.

Writes a comprehensive visual identity prompt for a show, channel, or publication — a master brief that defines the complete visual language and can be used to art-direct any asset in the project's visual system.

Generates a complete, coordinated set of image prompts for a cover image concept across multiple formats and crop ratios — so a single visual idea produces consistent, properly composed assets for podcast artwork, YouTube thumbnails, newsletter headers, and social media simultaneously.

Extracts and reformats the most shareable passage or argument from a published article into platform-specific social media posts — without rewriting the journalism.