Rebalance resource clustering and wildlife spawns.
Your approach to handling global security. Use this skill when working on files where global security comes into play.
A skill for writing Go tests in a TDD workflow. Follow README/Issue requirements and existing test conventions, add a balanced set of table-driven cases across behavior/boundaries/branches, and produce maintainable tests without excessive mocking or coverage-chasing.
Create discount codes for promotions, launches, beta readers, or giveaways. Supports percentage/fixed discounts, usage limits, expiry dates, and product restrictions. Triggers on "create discount", "promo code", "coupon", "launch code", or similar queries.
Analyze a traceback or error log, identify root cause, and implement the minimal fix with a short summary. Use when a traceback is provided.
Technical writer - documentation, README, guides
Track promotional code performance and marketing attribution. Shows redemptions, revenue, conversion rates, and ROI by discount code. Identifies which marketing channels drive sales. Triggers on "discount analytics", "promo code performance", "which codes work", "marketing attribution", or similar queries.
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".
Run evaluation tests using eval sets. Two-mode execution: Direct Line API (auto) or MCS Native Eval via Gateway API upload + run (manual). Results written per-test to evalSets[].tests[].lastResult.
Build agent(s) in Copilot Studio using the fully API-native build stack with user-guided manual steps for OAuth connections. Reads brief.json for architecture mode (single/multi-agent).
Generates meeting briefings by aggregating account info, contacts, opportunities, cases, and activity history into structured prep documents with talking points and discovery questions. Use when user says "prep me for my call", "brief me on this account", "meeting prep", "I have a meeting with [company]", "account briefing", "customer briefing", or "prepare for customer meeting".
Submit a feature suggestion conversationally — Claude gathers details, previews, and creates a GitHub issue via gh CLI.
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).
Report a bug conversationally — Claude gathers details, previews, and creates a GitHub issue via gh CLI.
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".
Post-deployment fix: analyze eval set failures, classify root causes, apply targeted fixes, and re-evaluate. For initial build iteration, use /mcs-build (which has an internal fix loop). This skill handles post-deployment edge cases and regressions.
Generates customized sales assets including one-pagers, proposals, executive summaries, ROI summaries, and mutual action plans from Dataverse context. Use when user says "create a one-pager", "draft a proposal", "generate executive summary", "build ROI summary", "create mutual action plan", "sales asset for [account]", "proposal outline", or "customer-facing document".
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".
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".