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).
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.
Test at extremes (1000x bigger/smaller, instant/year-long) to expose fundamental truths hidden at normal scales
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).
Quickly add, commit, and push changes to the current branch
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".
auto-sync launchd管理。dotfiles自動同期の状態確認・起動・停止・ログ確認。トリガー: launchd, auto-sync, 自動同期, 同期, sync agent
Evaluates and selects the best solution from multiple developer implementations using a comprehensive scoring system. Use this skill when you need to compare competing solutions, score them objectively across multiple dimensions, or select a winning implementation for integration.
Implements user stories by reading requirements, following coding standards, and executing tasks with comprehensive testing. Updates story files with implementation details and test results.
Stop the Android app running on connected device. Cleanly terminates the app using force-stop. Use when stopping the app for debugging, testing, or cleanup.
変更差分に対する簡易セキュリティ監査を行い、リスクを洗い出す。
大きな「やりたいこと」を、1Spec=1PRとしてレビュー可能・検証可能・安全にマージ可能なサイズへスライスする。ここでは具体的な仕様書（受入条件の詳細化・テスト観点の網羅・docs/specs/* の作成）は行わない（それは sdd-init / sdd-test-cases の責務）。出力は「スライス案（S/M/L）」「推奨スライス」「前提・制約・リスク・未決事項」「次フェーズへの入力（sdd-init に渡す要点）」に限定する。
This skill should be used when the user asks to "do something simple", "perform basic task", or needs minimal guidance. Demonstrates the simplest possible skill structure.
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.
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。
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.
Resolve requirement ambiguities through STRUCTURED questioning: one question at a time, with recommended options and reasoning. UNIQUE VALUE: Prevents overwhelming users with multiple questions. Provides expert recommendations for each decision. Use this skill when: - Running /pm.clarify command - User says "unclear", "not sure what this means", "confused about" - User asks "what does X mean?", "how should X work?", "can you clarify?" - Requirements have conflicting or inconsistent details - Stories are missing acceptance criteria or have gaps - Need to fill information gaps BEFORE development can proceed Process: Ask ONE question at a time (max 5 per session), provide recommended option with reasoning. DO NOT ask multiple questions at once - this overwhelms users.