@microsoftOpen source projects and samples from Microsoft
Open source projects and samples from Microsoft
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Use this skill any time SharePoint list is being fetched, searched, or shown to the user — whether it comes from a SharePoint/Microsoft 365 connector, a search result, a pasted export, or a fetched SharePoint URL. Apply it instead of dumping raw JSON or an ad hoc table whenever the user asks to "pull," "check," "look up," "find," or "show" anything from a SharePoint list, even if they never say the word "format.".
Turns an uploaded dataset (.xlsx, .csv, .json, or PDF tables) into a self-contained, scroll-driven HTML data story with animated Plotly charts, counting stat cards, and narrative chapters. Use when the user asks for a data story, scrollytelling report, or an interactive narrative write-up of a dataset. If the user asks for a demo or example with no dataset of their own, build the story from the bundled sample workbook at assets/Basketball_Demo_Data.xlsx.
Use this skill to visualize routes and locations on a map — especially after an upstream tool call (routing connector, Azure Maps, Bing Maps connector, HERE, Mapbox, Dataverse, CRM, SharePoint, or any connector that returns coordinates) has returned ordered stops, coordinates, distances, or road geometry. Produces PNG, interactive HTML, GeoJSON, KML, deep links, and QR codes. Also use for marker maps (weather, CRM data, site lists) and for any request to "show these on a map", "map these locations", or "visualize this route". DO NOT use this skill to compute routing — call a routing connector
Use this skill whenever the user asks to create, build, or revise a self-contained HTML or web slide presentation, browser slideshow, keynote-style deck, arrow-key-navigable presentation, or a deck matching a previous HTML presentation. Use it before authoring the HTML so the shared design system, channel-specific delivery, and verification steps are applied. Do not use it for PowerPoint (.pptx), static documents, or data dashboards.
Use when the user asks to set up, run, or check a scheduled regulation, law, or regulatory-guidance monitor or tracker — triggers include "set up a regulation tracker for X", "monitor [regulation] for me", "run my regulation monitor", "what changed on [regulation] this week", or an unattended scheduler invoking a saved profile. On first invocation walk interactive setup (topics, jurisdictions, cadence, delivery), auto-discover the top authoritative sources per topic, and STOP for user confirmation before any monitoring. On subsequent runs visit only the locked source list plus user seeds, clas
Use when the user asks to redline, track changes, or compare differences in a file. Compares an uploaded .docx or .pdf against a provided .dotx/.docx template and returns a redlined .docx where every textual difference is a Word tracked change (insertion/deletion) authored by "Copilot Studio AI". No visual conversion — built directly on the template.
Use this skill whenever the user asks to document, map, standardize, redesign, or improve a business process from notes, transcripts, interviews, or requirements, especially when they need an editable SOP, process map, RACI, controls, improvement backlog, or polished PowerPoint briefing.
Writes natural, first-person spoken presenter scripts (talk tracks) for the slides in a PowerPoint deck, from slide images, or from pasted slide text. Treats existing speaker notes as AUTHORITATIVE when they contradict slide text. Produces one spoken script per slide with delivery cues, calibrated to a target duration and speaking pace, plus a timing table. Use when the user says "write a script for these slides", "I'm presenting slides X-Y, what should I say", "create a presenter script", "turn my speaker notes into a talk track", or "make a 6-minute script for these slides". Do NOT use to cr
Use this skill whenever the user shares a Power BI or Analysis Services semantic model (a TMDL export, a BIM/JSON model definition, or a pasted list of tables, relationships, and measures) and asks for a model review, a performance check, or help fixing DAX, before writing or correcting any DAX measure for that model.
Trigger whenever the user uploads or references a Power Automate solution `.zip` and asks about references, dependencies on other flows, or related questions — phrasing like "document this flow", "what does this flow read/write/touch", "map the connection references", "audit this solution", or "which flows call which".
Assess Power Automate Desktop and hybrid cloud/desktop automation projects for maintainability, reliability, security, performance, troubleshooting readiness, scaling, and governance using current Microsoft guidance and evidence-based review practices.
Use this skill when the user asks for a point of view, punchy line, positioning sentence, provocative statement, headline angle, opinion line, or concise strategic stance.
Pre-simulate how a defined set of role-based personas will react to an internal comms, launch, or enablement artefact before it ships. Use when the user asks to "run the persona panel", "pressure-test this comms against our personas", "QA this launch email/deck before it goes out", "how will each team react to this", or wants persona- and domain-level feedback on a broad internal artefact. Requires a personas file — bring your own (see references/personas.template.md). Do NOT use for 1:1 private comms, HR/performance matters, or legal/contractual language.
Use this skill whenever the user wants tabular data from a PDF document AS A FILE — to extract, pull out, export, convert, or "put into a spreadsheet/Excel/CSV" (e.g. "pull out the rebates from the Contoso contract", "extract this pricing table", "get this into a spreadsheet"). This INCLUDES follow-up requests after you have already answered or summarized the data in chat — e.g. "now give me that as a file/spreadsheet", "export what you just showed me", "download that as Excel". In those follow-ups you MUST still invoke this skill and extract from the source document; never hand-build a spread
Scan the user's recent Microsoft 365 signals (emails, active chats/channels, calendar subjects) to surface recurring patterns worth productizing — either as a blog post (the user explains the same thing repeatedly) or as an automation (the user does the same multi-step task repeatedly). Use when the user asks "what should I write about?", "what could I automate?", "find patterns in my work", or invokes "/pattern-radar".
Analyze the user's own sent emails to build a personal writing-voice profile and generate a reusable personal voice skill from it. Use this skill whenever the user asks to analyze their writing style, learn their tone of voice, create/build/update a personal voice skill or "own voice" profile, make drafts "sound like me", or makes an equivalent request in any other language. Also use it when the user complains that generated emails or Teams messages don't sound like them and no personal voice skill exists yet.
Use this skill whenever the user asks to run a Monte Carlo simulation, model risk or uncertainty with random sampling, estimate P5/P50/P95 outcomes, or produce a probability distribution for project timelines, portfolio returns, downtime, costs, or similar uncertain variables. Trigger on phrases like 'run a Monte Carlo', 'simulate outcomes', 'probability chart for best and worst case', or when they give min/most-likely/max (or mean/std) and want thousands of iterations. Do NOT trigger for deterministic forecasts with no uncertainty, or for generic charts unrelated to simulation.
Use this skill when the user needs to choose the right Microsoft AI platform for a project, is comparing Microsoft 365 Copilot, Agent Builder, Copilot Studio, Microsoft Foundry, Foundry Agent Service, Windows AI Foundry, or Agent 365, needs to gather requirements for an AI or agent build, needs a solution architecture recommendation, needs to estimate effort as technical complexity and risk, or asks any variant of "which platform should I use", "how do I choose", "help me scope this AI project", or "what's the right tool for this AI use case".
Analyzes meetings from pasted text, transcripts, or audio/video recordings and turns them into a structured intelligence report. Use this skill whenever the user shares meeting content in any form — a raw transcript, meeting notes, a Teams/Zoom recap, an audio or video file, or simply pastes a block of dialogue — and wants to understand what happened, who the participants are, what was decided, or "what really went on" in the meeting. Trigger it even when the user does not say "analyze": phrases like "summarize this meeting", "what did we agree on", "read this transcript", "insights from this
Use this skill whenever the user asks to design, prepare, deliver, evaluate, improve, localize, or modernize Microsoft technical learning experiences, instructor-led training, workshops, demonstrations, hands-on labs, certification preparation, assessments, surveys, or learning enablement initiatives. Apply an instructional intelligence assessment before generating training assets or recommendations.
Use this skill whenever the user wants to search, browse, or look up records in a Microsoft Dataverse table — for example "look up accounts", "find opportunities for Contoso", "show me contact details", or "search cases by status". Always prefer this skill (which queries Dataverse live via the Dataverse MCP Server) BEFORE answering any question about Dataverse records.
Create, polish, rewrite, review, repurpose, brainstorm, or configure evidence-led LinkedIn posts, captions, comments, hooks, ideas, and conversation-scoped writing profiles from facts, notes, drafts, research, announcements, or lived experience. Use for the initial LinkedIn request and every follow-up clarification, revision, correction, constraint, or preference in the active task.
Use this skill when the user asks to create LinkedIn posts, promotional posts, thought-leadership posts, newsletter introductions, article intros, or long-form LinkedIn content from source notes, facts, or drafts.
Use this skill when a Power Automate flow triggers the agent with a payload describing an unknown source column from a lab results file that broke an Azure Data Factory ingestion pipeline. The skill semantically matches the source column against the canonical clinical schema indexed in Azure AI Search, scoped first by the sending lab and then by clinical domain, and writes a suggested destination-column mapping to the Dataverse review queue for a clinical informatics steward to approve. Also activates on manual invocations like "map this lab column", "the ADF pipeline failed on column X, what
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1370 Skills · 102 repositories