competitor-research
自动化竞品全网调研,收集公司概况、产品定价、用户评价等信息,生成结构化竞品分析报告。
Découvrez les skills Vie quotidienne, comparez leurs dépôts et consultez leurs instructions.
自动化竞品全网调研,收集公司概况、产品定价、用户评价等信息,生成结构化竞品分析报告。
根据潜在客户信息自动生成个性化冷邮件,包含定制化的主题行和邮件正文,提高邮件打开率和回复率。
Expert Azure Principal Architect providing guidance using Azure Well-Architected Framework (WAF) principles and Microsoft best practices. Use for cloud architecture decisions, Azure service selection, infrastru...
Set up the project and learn how to use it. Run this first when opening the project.
AI网站可读性审计,模拟AI爬虫视角检查网站结构,评估对LLM的友好程度,提供具体优化建议。
面向LLM的内容优化(GEO),让文章不仅被Google收录,还能被AI引用。针对ChatGPT/Claude等大模型的阅读习惯优化内容结构。
Expert assistant for developing Model Context Protocol (MCP) servers in Python using FastMCP, mcp package, Pydantic, and async patterns. Use when building MCP tools, resources, prompts, or debugging Python MCP...
Helps write Python code using the everyrow SDK for AI-powered data processing - transforming, deduping, merging, ranking, and screening dataframes with natural language instructions
Use when Claude Code needs a second opinion, verification, or deeper research on technical matters. This includes researching how a library or API works, confirming implementation approaches, verifying technica...
協助處理複雜物件比對與驗證。當使用者需要比對深層物件結構、處理循環參照、排除動態欄位(如時間戳記、自動生成 ID)、處理大量資料比對,或最佳化物件比對效能時,請使用此技能。
Guides architects on when and how to use goal-seeking agents as a design pattern. This skill helps evaluate whether autonomous agents are appropriate for a given problem, how to structure their objectives, inte...
Multi-repository orchestration for coordinating atomic changes across dependent repositories. Tracks dependency graphs, coordinates cross-repo PRs, and detects breaking changes.
Writing clear, discoverable software documentation following the Eight Rules and Diataxis framework. Use when creating README files, API docs, tutorials, how-to guides, or any project documentation. Automatical...
Analyzes events through sociological lens using social structures, institutions, stratification, culture, norms, collective behavior, and multiple theoretical perspectives (functionalist, conflict, symbolic int...
Generates agentic outside-in tests using gadugi-agentic-test framework for CLI, TUI, Web, and Electron apps. Use when you need behavior-driven tests that verify external interfaces without internal implementati...
Proactive context window management via token monitoring, intelligent extraction, and selective rehydration. Features predictive budget monitoring, context health indicators, and priority-based retention. Use w...
Analyzes events through narrative lens using story structure, character arc analysis, dramatic tension, thematic development, and narrative theory (three-act structure, hero's journey, conflict-resolution). Pro...
Creates personalized learning paths for technologies, frameworks, or concepts. Use for user-interactive session only for onboarding new technologies, hackathon skill-building, or personal development planning....
Cross-session learning system that extracts insights from session transcripts and injects relevant past learnings at session start. Uses simple keyword matching for relevance. Complements DISCOVERIES.md/PATTERN...
Automated reproduction of comprehensive model evaluation benchmarks following the Benchmark Suite V3. Auto-activates for model benchmarking, comparison evaluation, or performance testing between AI models.
Auto-generates code flow diagrams from Python module analysis. Detects when architecture diagrams become stale (code changed, diagram didn't). Use when: creating new modules, reviewing PRs for architecture impa...
Generates and improves tests following TDD principles. Activates when new features are implemented, test coverage is low, or user requests tests. Ensures comprehensive test coverage with unit, integration, and...
Auto-invokes ultrathink workflow for any work request (default orchestrator)
Philosophy compliance guardian - ensures code aligns with amplihack's ruthless simplicity, brick philosophy, and Zen-like minimalism through systematic review
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.