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…
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…
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…
Analyzes sales call transcripts to extract key information and automatically logs the call as a Phone Call activity in Dataverse. Use when user says "log this call", "process this transcript", "save this call to CRM", "create a phone call record from this transcript", uploads a call recording transcript, or pastes…
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"…
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…
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"…
Skills for Microsoft Agent 365 — transform agents into AI Teammates, register blueprints, add WorkIQ MCP servers, instrument observability, integrate Purview DLP, and test locally. Supports .NET (AgentFramework, Semantic Kernel) and Node.js (LangChain, OpenAI Agents SDK, Claude SDK, Semantic Kernel, Google ADK) and…
Operational tips and best practices for working with Microsoft Fabric Data Factory MCP tools. Use when executing queries, troubleshooting timeouts, creating dataflows end-to-end, or working with large datasets via the DataFactory.MCP tools.
Maintain Postgres Skills plugin releases in this repository: choose a semantic version, update plugin manifests and marketplace listings, and maintain both changelogs without bumping the marketplace's own version. Use when preparing a plugin release or updating its version.
Run autonomous experimentation while the user is AFK. Uses 6 investigation categories (investigation, bug hunting, feature design, refactoring, optimization, security audit) to systematically discover non-obvious behaviors. Every task is an experiment — implement in worktrees, commit to persistent dream branches, and…
Initialize a shadow knowledge base for any codebase. Creates a .shadow/ directory that mirrors the source tree with markdown files for AI-discovered insights. Run this once per repo before using other shadow-frog skills. Refuses to overwrite an existing .shadow/ unless --reset is passed.
Clean and consolidate the shadow knowledge base. Scans all shadow files for duplicate discoveries (same claim, different wording), near-duplicates (one extends another), and conflicting entries (contradicting claims). Merges duplicates, resolves conflicts by investigating the code, and asks the user only when…
Update the shadow knowledge base after code changes and from conversational insights. Detects what changed via git diff, refreshes per-file shadows, captures knowledge shared by the user during the session, and updates cross-cutting discoveries. Invoke manually with /shadow-frog-update; the preToolUse hook will remind…
Help users browse and visualize the shadow knowledge base: overview, search for files or symbols or text, view preferences, or see recent discoveries. Invoke when the user wants to see what's in the shadow, get an overview, or find specific knowledge.
Use a shadow knowledge base to understand any codebase. The .shadow/ directory mirrors the source tree with markdown files containing behavioral insights — known bugs, edge cases, implicit contracts, and user preferences. Always check the shadow before editing, debugging, or investigating code. When the user shares…
Generate grounded software feature-task briefs with a small, bounded ideation budget instead of implementing every idea. Read focused source and optional shadow/dream evidence, grow or resume a persistent proposal tree, and obtain independent shortlist judgments. Run only decision-changing probes of existing behavior.…
Agent skills for the Azure SQL Database container, the Azure SQL Database engine running locally. Teaches your agent to run the engine, connect, migrate, scaffold, build RAG, wire CI, and go local-to-cloud, using the real Private Preview image instead of the SQL Server image.
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+8 6d agoA
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Deploy, operate, and troubleshoot the openclaw-dev template: a secure, hosted OpenClaw AI assistant on Azure (Azure Container Apps + Azure OpenAI in Foundry Models, passwordless via Managed Identity, Entra ID Easy Auth, ephemeral sandbox execution, optional Microsoft Teams channel) using the repo's devclaw wrapper…
MCP server "zava-sales-analysis-seattle", hosted remotely at 127.0.0.1, as configured in microsoft/MCP-Server-and-PostgreSQL-Sample-Retail.
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+1 2d agoA
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At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: