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".

Add a new environment variable to the application. Use when adding configuration for external services, feature flags, or application settings. Triggers on "add env", "environment variable", "config variable".

Coding conventions and patterns for the mymind codebase. Use this skill when writing or modifying any code in this project to ensure consistency with established patterns.

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

Generates personalized outreach messages by pulling context from Dataverse records. Creates tailored emails for new prospects, re-engagement, follow-ups, or cross-sell. Use when user says "draft an email to [contact]", "write outreach for", "help me reach out to", "compose email", "re-engage this contact", "follow-up email", "prospecting email", or "outreach message for".

Generate reports from brief.json on demand — without running a build. Four report types for different audiences: brief (design state), build (status + deviations), customer (simplified, zero jargon), deployment (checklists + env mapping).

This skill should be used when building AI agents using prompt-native architecture where features are defined in prompts, not code. Use it when creating autonomous agents, designing MCP servers, implementing self-modifying systems, or adopting the "trust the agent's intelligence" philosophy.

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".

ALWAYS LOAD THIS SKILL FIRST for any Dataverse task. Contains hard rules that override all other skills. USE WHEN: ANY request involving Dataverse, Dynamics 365, Power Platform, tables, columns, solutions, records, queries, CRM, metadata, plugins, SDK, Web API, PAC CLI, or environment operations. Also use for: "how do I", "what tool", "which skill", "where do I start", "help with Dataverse", "create table", "create column", "build solution", "query data", "bulk import", "sample data", "support agent", "customer table", "ticket table". This skill MUST be loaded before any other Dataverse skill. Read the Hard Rules section first.

智能文档学习和内容模仿技能。当需要：(1) 分析和学习优秀文档的结构、风格和写作模式，(2) 从文档中提炼关键要素和模板，(3) 基于学习内容生成模仿材料，或 (4) 创建新的提示词或技术文档时使用此技能。支持提示词工程、技术文档、API文档、用户手册等多种文档类型的学习和模仿。

Test at extremes (1000x bigger/smaller, instant/year-long) to expose fundamental truths hidden at normal scales

How to create, structure, and publish self-contained Convex components with proper isolation, exports, and dependency management

Strategic automation architecture advisor. Use when users want to plan automation solutions, evaluate their tech stack (Shopify, Zoho, HubSpot, etc.), decide between n8n vs Python/Claude Code, or need guidance on production-ready automation design. Invokes plan mode for complex architectural decisions.

Create, export, unpack, pack, import, and validate Dataverse solutions. USE WHEN: "export solution", "import solution", "pack solution", "unpack solution", "create solution", "pull from environment", "push to environment", "validate import", "check import errors", "check if table exists", "check if form is published", "verify deployment". DO NOT USE WHEN: creating tables/columns/forms/views (use dataverse-metadata).

Autonomous multi-session feature development framework. Use when the user wants to systematically implement features from a specification, track progress across sessions, and ensure all tests pass before marking features complete. Activated by the /lynyx-agent-kit:auto-coder command or when working with feature_list.json files in an .auto-coder directory.

Comprehensive internationalization (i18n) and localization (l10n) for .NET and C++ applications. Generate resource files, manage translations, and implement best practices for multi-language support.

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.

Full research pass — reads project documents, identifies agents, researches MCS components, designs architecture, enriches brief.json + generates evals. Uses Agent Teams for quality.

Foodora-only CLI for checking past orders and active order status (Deliveroo WIP).

Comprehensive text analysis coordinator. Execute Python script for multi-aspect text analysis. Use when you need grammar, sentiment, readability, and SEO analysis combined.