claude-skill-registry-data

Writes, edits, and creates dbt models following best practices. Use when user needs to create new dbt SQL models, update existing models, or convert raw SQL to dbt format. Handles staging, intermediate, and mart models with proper config blocks, CTEs, and documentation.

Apply Domain-Driven Design, Clean Architecture, CQRS, and command/query patterns to code reviews and feature design. Use when analyzing or designing code in Application, Service, Infrastructure, DataAccess, Validation, Domain, or Functions projects, or when addressing architectural concerns, layering, mapping, entities, value objects, repositories, or validators in the Rome Repair Order Service.

Analyzes and refactors code using Domain-Driven Design principles. Use when refactoring domain models, identifying DDD anti-patterns, improving domain clarity, or applying tactical/strategic DDD patterns.

Guide for DDD strategic design - analyzing domains through structured questioning, conducting stakeholder interviews (PM/domain experts/users), and producing Bounded Context analysis, Context Maps, and Ubiquitous Language. Use when user needs help understanding domain boundaries, planning domain interviews, or structuring DDD strategic artifacts.

Win competitive rounds: run a clean process, deliver value previews before asking, coordinate partners, and manage timelines. Use when you're trying to close a 'must win' deal against other funds.

End-to-end associate workflow with time-boxed gates: thesis -> sourcing -> meetings -> diligence -> memo, ending with either IC-ready memo or explicit kill decision. Use when you need to run the full pipeline for a sector or a specific deal.

DearTs Framework 开发技能。基于 SDL3 + ImGui 的 C++20 现代应用框架，提供完整的应用生命周期管理、类型安全事件系统、Content Registry 和插件架构。适用于 DearTs Framework 相关的所有开发任务，包括应用程序开发、事件驱动架构、插件系统、多视图应用等。

Wind/Wall/Door multi-perspective debate orchestration using debate-hall-mcp tools. Use when facilitating structured debates, architectural decisions, or multi-perspective analysis.

Orchestrates formal debates with proposition and opposition sides, coordinating debaters and judges through structured exchanges. Use when running debate exchanges, managing debate rounds, or continuing interrupted debates.

Autonomous debugging workflow mirroring Cursor IDE's debug mode. Triggers on "debug mode", "help me debug", error messages, stack traces, or debugging loops. Generates 5-7 hypotheses, narrows to top 2, adds strategic logs with [DEBUG:] prefix, collects logs via local server, analyzes, fixes, and cleans up.

Use renovate-dryrun to test Renovate configuration locally. Use this skill when debugging or validating renovate.json5 changes.

디버깅, 디버그, 버그, 에러, 오류, 버그 수정 - Specialized in identifying root causes of bugs, analyzing error logs, and providing robust fixes. Use this when the user reports an error, unexpected behavior, or needs performance troubleshooting.

Debug and diagnose Thread mesh networks and OpenThread Border Routers. Use when troubleshooting Thread connectivity, analyzing Router Advertisements, testing IPv6 reachability to Thread devices, inspecting Thread Network Data, or diagnosing Border Router configuration issues.

Use when investigating Kubernetes pod failures, crashes, resource issues, or service degradation. Provides systematic investigation methodology for incident triage, root cause analysis, and remediation planning in any Kubernetes environment.

Use when Konflux pipelines fail, are stuck, timeout, or show errors like ImagePullBackOff. Covers PipelineRun failures, TaskRun issues (Pending, Failed, stuck Running), build errors, and systematic debugging of Tekton pipeline problems using kubectl and logs.

Investigate why code was written a certain way. Use when tracing decision history through git blame, commit logs, PRs, and issues to understand the reasoning behind code changes.

Systematic decision tree and epic generation through Socratic discovery

Create, update, and translate Dify X Reveal.js slide decks in this repo. Use when asked to draft slides, extract outlines, or maintain bilingual CN/EN parity for the ctrip/paypal/pupu/milvus/aispeech/dentsply/oceanbase/legalai decks, including deck HTML (index.html/index_en.html) and legal workflow YAMLs.

An agent that codes tasks in BDD-style. Automatically does not commit.

Expert assistant for creating Deckset presentations with markdown. Helps with slide formatting, headings, lists, images, videos, presenter notes, build steps, themes, and configuration. Use when working with .md presentation files, or when user mentions Deckset, creating slides, presentations, or decks.

Architectural code analysis for Python design quality. Evaluates simplicity (Rich Hickey), functional core/imperative shell (Gary Bernhardt), and coupling (Constantine & Yourdon). Use for design review or architectural assessment of Python code.

Architectural code analysis for design quality. Evaluates simplicity (Rich Hickey), functional core/imperative shell (Gary Bernhardt), and coupling (Constantine & Yourdon). Use for design review or architectural assessment.

Use when you need to create an execution plan from a feature spec - handles worktree context, dispatches subagent for task decomposition, validates quality, analyzes dependencies, groups into phases, and commits the plan

Neural networks, CNNs, RNNs, Transformers with TensorFlow and PyTorch. Use for image classification, NLP, sequence modeling, or complex pattern recognition.

Three-pass critical reading framework for systematic document analysis. Supports tech blogs, retrospectives, technical documentation, personal writing, and academic papers. Primary focus on Third Pass critical analysis, context validation, and actionable reconstruction. Use when analyzing complex documents, performing critical reading, extracting actionable insights, or conducting deep analysis. Triggers include Third Pass, 비판적 분석, critique, 깊이 읽기, 심층 분석.

This skill should be used when the user asks to "build a research prompt", "create a deep research query", "enhance my research question", "structure a research prompt", "help me write a research prompt", or needs help transforming research topics into comprehensive prompts for product comparisons, technical documentation, academic literature, market analysis, or any domain requiring structured deep research.

Given outputs from 5 research sub-agents (time-sliced or partitioned), validate and synthesize them into a coherent, citation-backed Markdown deep research report with deduplication, contradiction handling, and explicit debug visibility when inputs are missing or malformed.

Access AI-generated documentation and insights for GitHub repositories via DeepWiki. This skill should be used when exploring unfamiliar codebases, understanding repository architecture, finding implementation patterns, or asking questions about how a GitHub project works. Supports any public GitHub repository.

DeepChat app settings modification (DeepChat 设置/偏好) skill. Activate ONLY when the user explicitly asks to change DeepChat's own settings/preferences (e.g., theme, language, font size...). Do NOT activate for OS/system settings, editor settings, or other apps.

基于 LLM 的深度迭代搜索与推理服务。擅长处理复杂问题，通过自动分解查询、多轮迭代检索、信息评估与验证，最终生成全面且结构化的深度分析报告。

Locate symbol definitions quickly (precise for Python via AST; conservative candidates for other languages) and print a bounded context packet.

Create well-defined issues (bugs, features, tasks) using Socratic questioning to eliminate ambiguity. Use when creating new Linear or Jira issues, when the user mentions Linear, Jira, or needs to define work items with proper acceptance criteria and relationships.

Create user-centric product definitions by analyzing the repository, inferring product goals and user needs, clarifying ambiguities through structured questioning, and generating comprehensive product.md documentation. Use when the user mentions "product definition", "define product", "product strategy", or needs to document user personas, pain points, and user journeys.

The unified AI agent for Polyprophet - combines deep analysis, precise execution, and atomic-level investigation. One agent, one skill, one mission.

Recognize Fastly CDN queries and delegate to specialized sub-agent to avoid context pollution

Recommend who should do a task (Claude Code, Gemini, ChatGPT, Human, Taskmaster, MCPs) and generate handoff prompts.

Use when educators need to validate if their lesson plan covers all 3 Delegation subcategories (Problem/Platform/Task Awareness). Analyzes lesson plans and provides objective scores (0-10) with actionable feedback. Works in Claude.ai, Claude Code, and API for maximum portability.

Delete podcast episodes from the TTS system. Use when asked to delete, remove, or clean up an episode from a podcast feed.

Implement caching strategies using @delon/cache. Use this skill when adding memory cache, LocalStorage cache, SessionStorage cache, or cache interceptors for HTTP requests. Supports TTL-based expiration, cache invalidation, cache grouping, and persistent storage. Optimizes performance by reducing redundant API calls and database queries.

需求挖掘助手，从社交平台（X/Twitter、Reddit、Hacker News 等）自动搜索和分析用户抱怨、痛点和未满足需求。 用于发现产品机会、竞品分析、市场调研。 触发场景： - 用户说"帮我挖掘 XX 领域/产品的用户需求" - 用户说"分析 XX 产品的用户抱怨" - 用户说"看看用户对 XX 有什么不满" - 用户说"找找 XX 领域的痛点" - 用户说"调研 XX 市场机会"