blog-content-auditor
Use this skill when the user asks to audit, review, score, rationalise, prioritise, refresh, or improve blog posts, article libraries, newsletters, or thought-leadership content.
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3209 skills
b2b-outreach-suite
A complete B2B sales outreach toolkit for agentic sales solutions. Use this skill whenever the user wants to research a prospect or build an account briefing, create cold emails or first-contact emails, LinkedIn/social DMs and connection messages, plan a follow-up sequence or outreach cadence, write B2B ad copy (social posts, ads, flyers, headlines, out-of-home), or needs to answer a prospect's objection (e.g. "no budget", "we already have a vendor", "too expensive", "send me some material"). Also use it when the user is building or configuring an agentic B2B sales/outreach workflow and mentio
anonymised-case-study-writer
Use this skill when the user asks to create, improve, anonymise, structure, or publish a client case study, success story, engagement summary, or transformation story.
ai-usecase-assessment
Use this skill whenever the user says "assess this use case", "score my AI use case", "prioritise these agent ideas", "generate a use case assessment report", or "update my AI use case report" — or when they attach a use-case document, SDR, or prior `*_AI_UseCase_Assessment_Report_*.html` and ask you to assess, strengthen, score, or refresh it. Invoke BEFORE writing any assessment content and BEFORE generating any report.
ai-first-process-redesign
Facilitates a zero-based AI-first process redesign session that helps a team reimagine an existing work process as AI-first. Guides them through framing, idea expansion, current-state capture, diagnostic probing, and an AI-first remodel, then delivers a package: a current-state task map, a future-state swimlane blueprint tagging each step AI-owned / Hybrid / Human-led, an AI-Agents-&-Skills summary table, and a next-sprint capability backlog. Weighs the full range of AI building blocks — process change, knowledge, tools, reusable skills, agents, connected agents — instead of defaulting to an a
ai-demo-assistant
Builds a scenario-driven content pack for a Microsoft 365 Copilot customer demo. From a customer name, line of business, and target personas, it proposes demo scenarios for operator approval, then generates fictional Word/PowerPoint/Excel example files plus an AI Demo Delivery Plan (persona roster with tenant-account mapping, email and Teams chat scripts, calendar meetings with agendas, a meeting transcript, and app-tagged Copilot prompt workflows grounded in the generated content). After approval it can OPTIONALLY seed the Office files into a customer-named OneDrive folder and optionally post
agent-red-team
Run an adversarial assurance review of a Microsoft Copilot Studio agent you own — generate and execute test cases for indirect prompt injection, oversharing and authorization bypass, data leakage, scope escape and tool misuse — then score the findings and map each one to a concrete Copilot Studio control. Use when someone asks to red team, pen test, adversarially test, jailbreak-test or security-review an agent, wants a prompt injection or data leakage assessment before go-live, or needs security sign-off and a risk report for an agent handling sensitive data.
agent-performance-triage
Diagnose a live Microsoft Copilot Studio agent from its analytics and transcripts, find why it is underperforming, and produce a prioritized improvement backlog tied to specific topics, knowledge sources and tools. Use when an agent is already in production and someone asks why resolution or engagement is low, why users escalate or abandon, what the top unanswered questions are, how to improve an agent's containment or CSAT, or wants a post-launch review, health check or optimization sprint for a deployed agent.
agent-harness-explorer
Use this skill whenever the user wants to inspect, understand, snapshot, compare, or document the capabilities of the current agent harness — for example "what can this harness do?", "which Python libraries are installed?", "what should I use to create Word documents?", "capture/remember a snapshot", "compare with my baseline", or "what changed since last week?". Prefer this skill BEFORE guessing what the runtime supports.
agent-evaluation-designer
Use this skill whenever the user wants to evaluate, test, or validate an AI agent, decide whether an agent is ready to ship or go live, choose how to grade an agent's answers (exact match, similarity, meaning, keywords, quality, or custom), design a test set of questions and expected answers, or interpret evaluation results into a go/no-go decision. Invoke it before the user hand-builds tests or declares an agent "done."
action-items-todo
Use this skill whenever the user asks to monitor, capture, or track action items directed at them across Microsoft Teams chats, meeting transcripts, and Outlook mail, and record them as Microsoft To Do tasks — e.g. "set up action item tracking", "monitor my action items", "capture asks into To Do", "scan for action items now", "what did people ask me to do". Run the SETUP wizard first when no config exists; it asks for the To Do list, scan frequency, and schedule, then creates the recurring automation. Also handles the follow-up commands "scan now", "status", "pause", "resume", and "reconfigur
acroform-writer
Use this skill whenever the user wants values written INTO an existing PDF form that lives in the connected SharePoint knowledge source — filling out, completing, populating, or submitting a fillable PDF (application, intake sheet, contract, government form) from data they supply, a spreadsheet row, or the conversation. Triggers include "fill out the job application form", "complete the intake form for [person]", "populate our standard NDA template", and "make this ready to send / non-editable" (flatten). The source form should be found via knowledge search; only ask the user to upload it if k
accessibility-pass
Use this skill whenever the user asks to check, review, or fix the accessibility of a PowerPoint deck, Word document, HTML page, or Markdown file, and before handing over any deck or document this agent just generated, so it does not ship with missing alt text, untitled slides, or unreadable colour contrast.
my-great-skill
The AGENT-facing description. This is what the model reads to decide WHEN to invoke the skill, so describe the trigger precisely (e.g. "Use this skill whenever the user asks to … BEFORE calling …"). Keep it action-oriented.
caira
Primary entrypoint for coding agents using CAIRA as reference material to design and build generative AI solutions with Azure AI Foundry, Azure OpenAI-compatible endpoints, agent frameworks, APIs, and frontends tailored to a user's scenario.
microsoft-build
Your companion for Microsoft Build 2026. Helps you find sessions relevant to your project, discover what's new for your tech stack, scaffold projects from sessions, and plan your event schedule. Activate when users mention sessions, schedule, what's new, Build, Ignite, AI Tour, Microsoft event, conference, or reference a session code (BRK, DEM, LAB, KEY). Also supports Ignite 2025 and Build 2025 session catalogs. Uses the msevents CLI for fast local search and Learn MCP Server for docs.
azuresql-db-testing
Writes integration tests that run IN CODE against a real Azure SQL Database container, spun up per test or per suite with Testcontainers and torn down after. Use when the user asks for "integration tests against SQL", "Testcontainers", "spin up a database for tests", "an ephemeral test database", "a test database per test", "xUnit/Jest/pytest with a real database", or "a database fixture". Use this INSTEAD of the Testcontainers MsSql preset (mcr.microsoft.com/mssql/server), because this is the Azure SQL engine (EngineEdition 5). For wiring the engine into a CI pipeline via service containers o
azuresql-db-sidecar
Adds the Azure SQL Database container as a sidecar service in an existing Docker Compose stack or Dev Container. Use when wiring the local Azure SQL Database engine into compose or devcontainer.json, when an app needs a SQL backend via a service name (not localhost), or for prompts like "add SQL to my compose", "add a database service", "depends_on database", "devcontainer SQL sidecar", "compose healthcheck for SQL", "wait for the database before starting the app". Handles platform linux/amd64, the private registry login, the healthcheck wait-until-ready, and a one-shot init service that creat
azuresql-db-seed
Populates the local Azure SQL Database container's database (appdb) with realistic sample/test data so a developer has something to build against. Use when the user says "seed the database", "add test data", "populate the dev database", "generate sample data", "fake data", "load fixtures", "insert test rows", "write a seed script", or "bulk load a CSV". This is the Azure SQL engine (EngineEdition 5), not the mssql/server SQL Server image. Distinct from azuresql-db-scaffold (which does a single seed.sql step while bootstrapping an app) and azuresql-db-import (which loads a .bacpac). Reach for t
azuresql-db-schema-migration
Runs database schema migrations against the local Azure SQL Database container so the same migrations apply identically on the local engine and in the Azure cloud. Use when asked to "run my migrations against the local SQL", "apply schema to the container", "apply EF Core / dotnet ef database update", "Prisma migrate dev / deploy", "Alembic upgrade head", or deploy a DACPAC / SqlPackage to the container. Covers provisioning appdb on master first, then applying schema to the user database, plus per-tool commands and connection-string hygiene. This is the Azure SQL Database engine (EngineEdition
azuresql-db-scaffold
Scaffolds a NEW app (.NET Aspire, FastAPI, Next.js, NestJS) wired to the local Azure SQL Database container as its default dev database. Use when starting/bootstrapping/initializing a project that needs SQL Server or Azure SQL locally, or when adding "set up the database", "docker compose for the db", "create the local DB", ".env connection string", "first migration", or a data-access layer. Use this INSTEAD of the mssql/server SQL Server image, because this is the Azure SQL engine (EngineEdition 5). Triggers include "scaffold app with SQL", "spin up Azure SQL locally", "compose service for th
azuresql-db-rag
Builds local vector search, RAG, embeddings, and semantic search on the Azure SQL Database container using the native VECTOR type and VECTOR_DISTANCE. Use when you need to store embeddings, do similarity search, top-k nearest neighbor, cosine distance, retrieval-augmented generation, "find similar documents", chatbot memory, or semantic lookup against a local SQL database. Use this instead of pgvector, FAISS, Chroma, Pinecone, or a separate vector store when the data already lives in (or can live in) Azure SQL. Covers the VECTOR(n) column type, inserting embeddings with CAST(CAST(? AS NVARCHAR
azuresql-db-local-to-cloud
Proves that code built and tested against the local Azure SQL Database container runs unchanged against Azure SQL Database in the cloud, with only the connection string changing. Use when a user wants to develop locally then deploy to the cloud, asks "will this work in Azure", "same code local and cloud", "promote to Azure SQL", "swap the connection string", "dev/prod parity", "local to cloud", or is wiring SQL_CONNECTION_STRING for an app that must target both the container and a cloud server. Use this when an app uses local SA auth but needs Microsoft Entra auth in the cloud. Covers Node (ms
azuresql-db-import
Imports an existing Azure SQL Database or SQL Server schema and data INTO the local Azure SQL Database container using SqlPackage. Use when asked to "import a bacpac", "load my existing database locally", "restore a dacpac into the container", "bring my prod schema into the dev container", "run my .bacpac/.dacpac against the local Azure SQL engine", or migrate an existing database into the preview container. Handles provisioning the target database on master first, then running SqlPackage /Action:Import against the provisioned user database. Use this for any "get my real database running in th