TMDB (The Movie Database) API integration for React Native TV streaming apps. Use when users need help with movie/TV show data, poster images, search functionality, trending content, video trailers from TMDB, API authentication, rate limiting, or TypeScript types for TMDB responses.
TypeScript-first schema validation library with static type inference and runtime validation
Expert guidance for TanStack DB reactive client-side database with collections, live queries, optimistic mutations, and sync engines (ElectricSQL, RxDB, PowerSync). Use when user says "tanstack db", "/tanstack-db", "local-first", "live query", "collection", "optimistic mutation", "electric", "sync engine", or asks about reactive data, offline-first, or real-time sync.
Use this skill whenever the user wants to set up, configure, or refactor TypeORM within a NestJS TypeScript project, including data sources, entities, migrations, repositories, relations, and transactional patterns.
基于 cleanddd-requirements-analysis 结果输出 CleanDDD 建模蓝图，并在 only-danmuku 的 iterate/feature 目录交付 *_gen.json 建模元素与 *_update.sql DDL 变更脚本；用于将已拆解需求落为可生成代码的模型与数据库变更清单。
Use this skill whenever the user wants to design, run, or refine Cloudflare D1 schema management, migrations, and data seeding for dev/staging/production environments, especially in conjunction with Hono/Workers apps.
Implement agent evaluation and safety gates using MLflow 3.x. Use for creating LLM-as-Judge scorers, evaluation datasets, quality gates, tracing, and continuous evaluation. Triggers on "evaluate agent", "MLflow scorer", "LLM judge", "safety evaluation", "quality gate", "agent testing", "hallucination detection", or when implementing spec/010-agent-evaluation.md requirements.
**Type:** AI Research Agent
Technical writer - documentation, README, guides
Rigorous statistical analysis guidance for interpreting and reporting research findings in cardiology content.
Use this agent when a PR touches production data, migrations, or any behavior that could silently discard or duplicate records. Produces a concrete pre/post-deploy checklist with SQL verification queries, rollback procedures, and monitoring plans. Essential for risky data changes where you need a Go/No-Go decision. <example>Context: The user has a PR that modifies how emails are classified. user: "This PR changes the classification logic, can you create a deployment checklist?" assistant: "I'll use the deployment-verification-agent to create a Go/No-Go checklist with verification queries" <commentary>Since the PR affects production data behavior, use deployment-verification-agent to create concrete verification and rollback plans.</commentary></example> <example>Context: The user is deploying a migration that backfills data. user: "We're about to deploy the user status backfill" assistant: "Let me create a deployment verification checklist with pre/post-deploy checks" <commentary>Backfills are high-risk deplo
在 only-danmuku 的 CleanDDD Kotlin 项目中编写或修改聚合/命令/查询/API 端点/事件/防腐层 Client/仓储/配置/测试时使用；遵循 代码实现规约.md 与 design/_gen + genDesign 的生成流程。
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".
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".
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".
Browse, analyze, and contribute to the team's SharePoint solution library. Uses agent teams for intelligent tagging and pattern extraction.
2026-01-16 16:07 [agent=codex] [model=unknown] Created item
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".
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".