market-debrief-cn
A deep analysis tool for A-share markets generating interactive, FT-style HTML daily reports using multi-agent parallel architecture, AkShare data, and Tavily news.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
426 skills found
A deep analysis tool for A-share markets generating interactive, FT-style HTML daily reports using multi-agent parallel architecture, AkShare data, and Tavily news.
Automated GitHub Pull Request creation with task validation, test execution, Conventional Commits formatting, and project-aware label suggestions.
Find similar vulnerabilities and bugs across codebases using pattern-based analysis. Use when hunting bug variants, building CodeQL/Semgrep queries, or performing systematic code audits.
Help users manage time and tasks effectively. Use for overcoming overwhelm, improving focus, balancing responsibilities, and increasing personal productivity.
Automates production deployment workflows with version management, health checks, release tagging, and post-deployment monitoring.
AI-powered generator for viral XiaoHongShu posts, including titles, captions, hashtags, cover image prompts, and posting strategies.
Automated code maintenance tool for React developers to resolve linting, formatting, and CI validation errors.
A comprehensive configuration suite for Claude Code, featuring production-grade agents, skills, hooks, and automated workflows optimized for high-intensity development.
Implement production-grade Kubernetes security using NetworkPolicy, RBAC, Pod Security Standards, and OPA Gatekeeper policies.
Enforce epistemic quality in RAG systems with pre-ingestion verification. Ensures documents are properly qualified and structured before knowledge base entry.
Multi-phase feature development workflow for complex tasks using research, planning, implementation, and review gates.
Advanced prompt rewriting and optimization service. Analyzes prompts for clarity, specificity, and structure, providing actionable improvements, variations for testing, and prompt engineering best practices.