Query Microsoft 365 Copilot for workplace intelligence - emails, meetings, documents, Teams messages, and people information. USE THIS SKILL for ANY workplace-related question where the answer likely exists in Microsoft 365 data. This includes questions about what someone said, shared, or communicated; meetings, emails, messages, or documents; priorities, decisions, or context from colleagues; organizational knowledge; project status; team activities; or any information that would be in Outlook, Teams, SharePoint, OneDrive, or Calendar. When in doubt about workplace context, try WorkIQ first. Trigger phrases include "what did [person] say", "what are [person]'s priorities", "top of mind from [person]", "what was discussed", "find emails about", "what meetings", "what documents", "who is working on", "what's the status of", "any updates on", etc.
Guide for adding new functions to the library. Use this when implementing new API wrappers or utility functions.
Guide for working with Direct Lake semantic models. Use this when implementing Direct Lake-related features or troubleshooting.
Local environment management - run SQL queries, set up fake payments, reset test data. Use when the user needs help with local database operations or test data setup.
Graph Explorer product overview including supported graph types, query languages, databases, key features, and high-level architecture.
Database connector and explorer patterns for Gremlin, openCypher, and SPARQL, including the query template tag and escapeString usage.
Schema storage and discovery in Graph Explorer, including SchemaStorageModel persistence, edge connections, incremental schema growth, and related Jotai atoms.
Find and close stale bug issues in microsoft/AzureStorageExplorer. Use this when asked to clean up stale issues, close inactive bugs, or perform issue hygiene.
Query and analyze data in Azure Data Explorer (Kusto/ADX) using KQL for log analytics, telemetry, and time series analysis. WHEN: KQL queries, Kusto database queries, Azure Data Explorer, ADX clusters, log analytics, time series data, IoT telemetry, anomaly detection.
Azure Storage Services including Blob Storage, File Shares, Queue Storage, Table Storage, and Data Lake. Provides object storage, SMB file shares, async messaging, NoSQL key-value, and big data analytics capabilities. Includes access tiers (hot, cool, archive) and lifecycle management. USE FOR: blob storage, file shares, queue storage, table storage, data lake, upload files, download blobs, storage accounts, access tiers, lifecycle management. DO NOT USE FOR: SQL databases, Cosmos DB (use azure-prepare), messaging with Event Hubs or Service Bus (use azure-messaging).
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.
Recommend Azure VM sizes, VM Scale Sets (VMSS), and configurations based on workload requirements, performance needs, and budget constraints. No Azure account required — uses public documentation and the Azure Retail Prices API. WHEN: recommend VM size, which VM should I use, choose Azure VM, VM for web/database/ML/batch/HPC, GPU VM, compare VM sizes, cheapest VM, best VM for workload, VM pricing, cost estimate, burstable/compute/memory/storage optimized VM, confidential computing, VM trade-offs, VM families, VMSS, scale set recommendation, autoscale VMs, load balanced VMs, VMSS vs VM, scale out, horizontal scaling, flexible orchestration.
Send HTML email notifications via Azure Logic App. Use when (1) sending formatted emails to recipients, (2) delivering reports or summaries via email, (3) triggering email notifications from workflows. Triggers on requests like "send email", "email this", "send via email", "mail to".
Send adaptive card notifications to Microsoft Teams via Azure Logic App. Use when (1) sending issue triage reports to Teams, (2) posting JSON payloads as Teams notifications, (3) triggering workflow result notifications. Triggers on requests like "send notification", "notify team", "post to Teams", "send report".
Execute exactly one runnable unit from `UNITS.csv` (first TODO whose dependencies are DONE), then update unit status and artifacts. **Trigger**: unit executor, run one unit, next unit, step-by-step pipeline, 逐条执行, UNITS.csv. **Use when**: 需要严格“一次只做一个 unit”（可审计、可中断），并遵守 checkpoints/HUMAN 阻塞逻辑。 **Skip if**: 要端到端自动跑（用 `research-pipeline-runner`）或 workspace 不存在。 **Network**: none. **Guardrail**: 只执行一个 unit；满足验收且输出存在才可标 `DONE`；遇到 HUMAN checkpoint 必须停下。
Write `output/DRAFT.md` (or `output/SNAPSHOT.md`) from an approved outline and evidence packs, using only verified citation keys from `citations/ref.bib`. **Trigger**: write draft, prose writer, snapshot, survey writing, 写综述, 生成草稿, section-by-section drafting. **Use when**: structure is approved (`DECISIONS.md` has `Approve C2`) and evidence packs exist (`outline/subsection_briefs.jsonl`, `outline/evidence_drafts.jsonl`). **Skip if**: approvals are missing, or evidence packs are incomplete / scaffolded (missing-fields, TODO markers). **Network**: none. **Guardrail**: do not invent facts or citations; only cite keys present in `citations/ref.bib`; avoid pipeline-jargon leakage in final prose.
Finance Guru™ Core Context Loader Auto-loads essential Finance Guru system configuration and user profile at session start. Ensures complete context availability for all financial operations.
Run nf-core bioinformatics pipelines (rnaseq, sarek, atacseq) on sequencing data. Use when analyzing RNA-seq, WGS/WES, or ATAC-seq data—either local FASTQs or public datasets from GEO/SRA. Triggers on nf-core, Nextflow, FASTQ analysis, variant calling, gene expression, differential expression, GEO reanalysis, GSE/GSM/SRR accessions, or samplesheet creation.
Azure Cosmos DB performance optimization and best practices guidelines for NoSQL, partitioning, queries, and SDK usage. Use when writing, reviewing, or refactoring code that interacts with Azure Cosmos DB, designing data models, optimizing queries, or implementing high-performance database operations.
> Trust, identity, and governance for multi-agent systems.