By majuniores
Daymade skills core suite. Bundles skill creation, quality review, search, and marketplace development tooling under one shared namespace.
Reviews and improves Claude Code skills against official best practices. Supports three modes - self-review (validate your own skills), external review (evaluate others' skills), and auto-PR (fork, improve, submit). Use when checking skill quality, reviewing skill repositories, or contributing improvements to open-source skills.
This skill should be used when users want to search, discover, install, or manage Claude Code skills from the CCPM registry. Triggers include requests like "find skills for PDF", "search for code review skills", "install cloudflare-troubleshooting", "list my installed skills", "what does skill-creator do", or any mention of finding/installing/managing Claude Code skills or plugins.
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub p/majuniores-daymade-skill-daymade-skillExtract files from repomix packaged formats (XML, Markdown, JSON) with automatic format detection and validation
One-stop installer and companion for the full Gangtise (岗底斯投研) OpenAPI skill suite — 19 official skills covering data retrieval (OHLC 行情, 财务, 估值, 研报, 首席观点, 会议纪要, 调研纪要), research workflows (个股研究 L1-L4, 观点 PK 对抗性分析, 主题研究, 事件复盘), and utility (股票池管理, 公开网页搜索). Zero-config install to Claude Code / OpenClaw / Codex with 4 preset modes (full / workshop / minimal / custom), guides accessKey + secretAccessKey setup with a live validation call against open.gangtise.com, and ships a read-only diagnostic script. Use this skill whenever the user mentions Gangtise, 岗底斯, gangtise-data-client, gangtise-kb-client, gangtise-file-client, gangtise-stock-research, gangtise-opinion-pk, installing any gangtise-* skill, configuring its credentials, or reports errors like 'token is invalid', '接口地址错误', 'the uri can't be accessed'. This is a wrapper around Gangtise's official skills — it installs and orchestrates them rather than replacing them.
Verifies factual claims in documents using web search and official sources, then proposes corrections with user confirmation. Use when the user asks to fact-check, verify information, validate claims, check accuracy, or update outdated information in documents. Supports AI model specs, technical documentation, statistics, and general factual statements
Pull Bigdata.com (RavenPack) financial and news data through the official bigdata-client Python SDK and its /v1/* REST endpoints when the Bigdata MCP server gives you too little — it silently drops per-chunk sentiment, entity character-spans, and the entire structured-financial product line (analyst estimates, earnings/event calendar, earnings surprise, analyst ratings, price targets, company screener). Bundles a verified, cost-guarded toolkit plus the SSL-retry, chunk-billing 52x trap, and entity-query pitfalls already solved in real use. Use whenever the user mentions Bigdata.com, RavenPack, a bd_v2_ API key, the bigdata MCP, rp_entity_id resolution, chunk / query_unit cost, or wants forward estimates, an earnings/event calendar, earnings surprise, price targets, or annotated news sentiment for a ticker — even if they never name the SDK. Reach for it the moment an MCP financial data source returns less than you know the underlying API holds.
Find and access AI/LLM model brand icons from lobe-icons library in SVG/PNG/WEBP formats
Lazy senior dev mode. Forces the simplest, shortest solution that actually works: YAGNI, stdlib first, no unrequested abstractions.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Develop, test, build, and deploy Godot 4.x games with Claude Code. Includes GdUnit4 testing, web/desktop exports, CI/CD pipelines, and deployment to Vercel/GitHub Pages/itch.io.
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
Design fluency for frontend development. 1 skill with 23 commands (/impeccable polish, /impeccable audit, /impeccable critique, etc.) and curated anti-pattern detection.
Behavioral guidelines to reduce common LLM coding mistakes, derived from Andrej Karpathy's observations on LLM coding pitfalls