3210 skills
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
Required whenever a knowledge request names or implies a country, asks what applies "here," or compares countries. Treat Country as document metadata, not as a content-search term. Before any content search, general-knowledge answer, or clarification, use sharepoint_metadata_filter to discover and filter the Country column. Then pass every matching document URL to knowledge_search_sharepoint through scopeUrls.
Use this skill whenever a user asks to audit, curate, clean up, deduplicate, rationalize, or assess files used by an AI knowledge source. Require the user to upload copies of the source files, analyze those complete files locally, and use configured knowledge sources only to validate findings.
Use this skill whenever you create or edit ANY file for the user in the Copilot Studio container — a document, spreadsheet, slide deck, code file, data export, anything. It keeps your work-in-progress durable and shows the user an updated version after every change, so the two of you refine the same file together across turns — the user sees real progress each round, earlier work is never lost, and neither of you has to start over. Apply it from the very first file you make.
Extract and preserve a departing senior leader's institutional knowledge — projects, decisions, rationale, relationships, tribal knowledge — into a structured, multi-phase archive built from M365 signals (emails, Teams, meetings, SharePoint/OneDrive). Resumable across multiple sessions. Use when the user asks to "build an institutional knowledge archive", "preserve institutional knowledge", "capture a departing leader's knowledge", "run a knowledge extraction for an executive handoff", "document a leadership transition before someone retires", or otherwise to capture/preserve a specific leader
Refine the user's existing plan, decision, or draft through relentless refinement. Use when the user wants to sharpen or stress-test their thinking.
Return-from-leave catch-up briefing across Outlook mail, meetings and Teams. Asks which areas to cover and only the scoping questions those areas need, then reports each item once, deep-linked and prioritised. Suggests replies as text; creates drafts, sends, posts and meeting responses only on explicit approval. Use when the user says "prepare my holiday recap", "catch me up after my holiday", "what did I miss while I was away?", "return-from-leave briefing", or "catch me up between <date> and <date>". Do NOT use for a same-day catch-up (use daily-briefing), one meeting summary (use meeting-in
Bundle every file the agent produced in this session into a single timestamped .zip and hand it back as a download. Use when the user asks to "export all produced files", "zip my files", "package everything you made", "bundle my files", "give me all the files", or similar. Files are read from /app/created/. Do NOT use to fetch a single named file the user can already download on its own, to create or convert a file, or to save/persist files to SharePoint, OneDrive, or Dataverse — those are separate flows, not a local zip-and-download.
Use this skill whenever the user asks to audit, scan, review, classify, or de-risk environmental, sustainability, climate, circularity, recycling, emissions, or green marketing claims in pasted conversational content, CSV files, XLSX workbooks, DOCX documents, PPTX presentations, or website URLs. Report universal vocabulary risks separately from Canadian (CA), European Union (EU), and United Kingdom (UK) legal and guidance findings.
Use this skill whenever the user asks to write, generate, or create a podcast script or podcast episode — from a topic, or from source material such as a news digest, newsletter, email review, or set of articles — and optionally convert it to audio with Azure Text-to-Speech. Handles the initial request and every follow-up refinement (source, topic, length, cast, narration) in the same task.
Use this skill whenever the user asks to visualize a project schedule, timeline, Gantt chart, or phase/task breakdown over time. It gives the agent a prebuilt, parameterized gantt() function so Gantt charts are produced instantly and consistently — with colour-coded groups, completion overlays, a today reference line, and auto-scaled date axes — instead of hand-writing matplotlib each time.
Produces narrated educational explainer videos (MP4, 1080p, burned-in captions) that teach a concept, tool, process or policy — researching the subject where facts matter, generating office b-roll, and framing screenshots the user attaches. Use when the user asks to "make a video", "create an explainer video", "produce a training video", "a video explaining X", "turn this into a video", "video walkthrough", "demo video", "record a narrated overview", or asks to change a video this skill produced ("re-render with a longer script", "swap the b-roll"). Always writes the narration script and scene
Build a personalized, day-by-day study plan for an upcoming exam, certification, or test. Use this skill whenever someone mentions studying for an exam, prepping for a certification, needs a study schedule, is trying to pass a test by a certain date, or asks for help organizing exam prep, even if they don't use the word "plan" explicitly (e.g. "I have my PMP in 6 weeks and don't know where to start", "help me study for the bar", "I need to prep for the AZ-900"). Also use when someone wants to revise or adjust an existing study plan because their timeline changed, they fell behind, or their con
Use this skill whenever the user submits a product description, marketing text, catalog entry, packaging copy, or advertising claim and asks to check it for greenwashing, environmental claim compliance, sustainability wording risks, or alignment with EU Directive 2024/825 or the Green Claims Directive. Produces a structured per-claim findings report with risk levels, regulation references, and recommended corrections.
Use this skill whenever the user asks to review, assess, validate, improve, govern, or prepare a Microsoft Copilot Studio agent, multi-agent solution, or enterprise AI architecture before implementation. Apply an enterprise architecture assessment before proposing implementation or design changes.
