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.
Implement offline-first mobile apps with local storage, sync strategies, and conflict resolution. Covers AsyncStorage, Realm, SQLite, and background sync patterns.
Develop lightweight Flask APIs with routing, blueprints, database integration, authentication, and request/response handling. Use when building RESTful APIs, microservices, or lightweight web services with Flask.
guidance on how to properly do data migrations in Convex
Use the M4 Python API to query clinical datasets (MIMIC-IV, eICU) programmatically. Triggers on "M4 API", "query MIMIC with Python", "clinical data analysis", "EHR data", "execute SQL on MIMIC", or when writing code to access clinical databases.
Browser automation using Playwright MCP. Navigate websites, fill forms, click elements, take screenshots, and extract data. Use when tasks require web browsing, form submission, web scraping, UI testing, or any browser interaction.
Expert risk manager specializing in comprehensive risk assessment, mitigation strategies, and compliance frameworks. Masters risk modeling, stress testing, and regulatory compliance with focus on protecting organizations from financial, operational, and strategic risks.
Macroeconomic and market regime analyst. Monitors Fed policy, inflation, GDP, unemployment, and global economic trends to determine overall market risk appetite and sector rotation strategies.
De novo motif discovery and known motif enrichment analysis using HOMER and MEME-ChIP. Identify transcription factor binding motifs in ChIP-seq, ATAC-seq, or other genomic peak data. Use when finding enriched DNA motifs in peak sequences.
PWA patterns and offline functionality in LivestockAI
Reference guide for Agentica multi-agent infrastructure APIs
Combine scTCR/BCR repertoire data with scRNA-seq expression data using `scRepertoire::combineExpression()`. This process integrates immune receptor information (CDR3 sequences, V(D)J genes, clonotypes) into a Seurat object's metadata, enabling clonotype-aware gene expression analysis.
Portfolio allocation and rebalancing optimizer. Manages asset allocation across stocks/cash/bonds, performs periodic rebalancing, and ensures diversification according to market regime and risk tolerance.
Create reversible database migrations with rollback scripts. Use when modifying database schemas.
Guidelines to create/update a new mode for PostHog AI agent. Modes are a way to limit what tools, prompts, and prompt injections are applied and under what conditions. Achieve better results using your plan mode.
Telegram bot komutlari ve handler referansi. Use when working with Telegram bot commands, callbacks, or approval workflows.
Create and maintain Claude Code agents/subagents (.claude/agents/*.md) with YAML frontmatter (name/description/tools/model/permissionMode/skills/hooks), least-privilege tool selection, delegation patterns (Task), context budgeting, and safety best practices.
Investigate GitHub security incidents using tamper-proof GitHub Archive data via BigQuery. Use when verifying repository activity claims, recovering deleted PRs/branches/tags/repos, attributing actions to actors, or reconstructing attack timelines. Provides immutable forensic evidence of all public GitHub events since 2011.
Event deduplication with canonical selection, reputation scoring, and hash-based grouping for multi-source data aggregation. Handles both ID-based and content-based deduplication.
IDA Pro Python scripting for reverse engineering. Use when writing IDAPython scripts, analyzing binaries, working with IDA's API for disassembly, decompilation (Hex-Rays), type systems, cross-references, functions, segments, or any IDA database manipulation. Covers ida_* modules (50+), idautils iterators, and common patterns.