Technical writer - documentation, README, guides

Analyzes successful product customers to identify patterns, then finds similar accounts that are good cross-sell candidates with fit scores and reasoning. Use when user asks "who should I pitch this product to", "find cross-sell opportunities", "which customers should buy Product X", "identify upsell targets", "product expansion candidates", or "who else would buy this".

Query Google Places API (New) via the goplaces CLI for text search, place details, resolve, and reviews. Use for human-friendly place lookup or JSON output for scripts.

Get current weather and forecasts (no API key required).

Generates a weighted sales forecast from Dataverse opportunity data. Calculates committed, best-case, and pipeline views by rep and team; compares to quota; flags risks and upside. Use when user asks "what's my forecast", "quarterly forecast", "pipeline forecast", "where's my number", "forecast report", "am I going to hit quota", "sales projection", or "revenue forecast".

Reviews opportunities in the sales pipeline to identify stuck deals, missing next steps, weak qualification, and unbalanced stages. Use when user asks "how is my pipeline looking", "analyze pipeline health", "which deals are stuck", "pipeline review", "find at-risk deals", "identify stalled opportunities", or "audit my open deals".

Browse, analyze, and contribute to the team's SharePoint solution library. Uses agent teams for intelligent tagging and pattern extraction.

Use the official Microsoft Dataverse Python SDK for data operations. USE WHEN: "use the SDK", "query records", "create records", "bulk operations", "upsert", "Python script for Dataverse", "read data", "write data", "upload file", "bulk import", "CSV import", "load data", "data profiling", "data quality", "analyze data", "Jupyter notebook", "pandas", "notebook". DO NOT USE WHEN: creating forms/views (use dataverse-metadata with Web API), exporting solutions (use dataverse-solution with PAC CLI).

Pull all M365 context about a customer/company using WorkIQ MCP. Searches emails, meetings, documents, Teams, and people to compile a complete customer context file before research and architecture.

Analyzes opportunity data and activity notes to generate competitive intelligence including win/loss rates by competitor, patterns, and rep-ready battlecard talking points. Use when user asks "how are we doing against [competitor]", "competitive analysis", "competitor win rate", "battlecard for [competitor]", "competitive landscape", "why are we losing to [competitor]", or "competitor intelligence".

Guides sales reps through structured lead qualification using BANT+ methodology. Evaluates leads, suggests discovery questions, scores quality, and recommends next steps. Use when user says "qualify this lead", "help me qualify", "BANT analysis", "score this lead", "should I convert this lead", "lead qualification questions", or "assess lead quality".

Analyzes closed opportunities to identify patterns between won and lost deals. Compares sales cycles, activities, stakeholder engagement, and deal characteristics for actionable playbook insights. Use when user asks "why are we losing deals", "win loss analysis", "what makes deals win", "analyze lost opportunities", "sales pattern analysis", "compare won vs lost deals", or "improve win rate".

Analyzes an opportunity's current state and engagement history, compares against won deals, and recommends the most effective next action with reasoning. Use when user asks "what should I do next on this deal", "next steps for this opportunity", "how do I move this deal forward", "what's the best action for this opp", "deal coaching", or "opportunity next action".

name: food-order

Use when implementing or debugging ANY network request, API call, or data fetching. Covers fetch API, axios, React Query, SWR, error handling, caching strategies, offline support.

Identifies accounts showing warning signs of churn by analyzing activity trends, support cases, and engagement signals. Scores risk and prioritizes intervention targets. Use when user asks "which accounts are at risk", "churn risk analysis", "find accounts that might leave", "customer health check", "at-risk customers", "retention warning signs", or "account health score".

2026-01-16 16:07 [agent=codex] [model=unknown] Created item

Creates comprehensive handoff documentation for sales reps going on vacation or transitioning deals. Generates structured briefs with deal status, activities, next steps, contacts, and risks. Use when user says "I'm going on vacation", "create handoff brief", "coverage brief for my deals", "vacation handoff", "out of office brief", "transition my deals", or "backup documentation".

Identifies potential duplicate Accounts, Contacts, or Leads in Dataverse using intelligent fuzzy matching that catches nicknames, abbreviations, phone format variations, and address similarities. Use when user says "find duplicates", "check for duplicate accounts", "are there any duplicate contacts", "duplicate detection", "clean up duplicates", "merge duplicates", or "data quality check".

Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.