By realdeal88
Forge a rough idea into an execution-ready prompt. Distilled from Anthropic's own prompt-engineering documentation — every forged prompt carries a verifiable success criterion so the run drives itself to done.
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npx claudepluginhub realdeal88/better --plugin betterA complete framework for making and judging great design — eight lenses (Purpose, Agency, Responsibility, Familiarity, Flexibility, Simplicity, Craft, Delight) that turn a vague 'make it good' into concrete, defensible decisions. Auto-invokes whenever design quality matters on any platform — web, mobile, desktop, product: building, redesigning, or critiquing any UI, flow, or component, plus design decisions from feature-scoping to permission prompts to accessibility.
یک ایدهٔ خام را به یک پرامپت اجرایی و خودراستیآزما تبدیل کن — برگرفته از مستندات مهندسی پرامپت خود Anthropic. هر پرامپت فورجشده یک معیار موفقیت قابلراستیآزمایی دارد تا اجرا خودش تا «انجامشده» پیش برود.
Your project's always-on memory. A set of living files (goals · tracker · decisions · mistakes · log) that auto-catch-up at session start and auto-snapshot at every compaction and session end — so no context is ever lost to a /compact or a restart. Runs itself through five non-blocking hooks; never coerces work.
Claude Code için her zaman açık proje hafızası. Oturum başında auto-catchup, her compaction ve oturum sonunda auto-snapshot yapan canlı dosyalar — böylece hiçbir bağlam sıfırlamayla kaybolmaz. Beş bloke etmeyen hook ile kendi kendine çalışır; işi asla zorlamaz.
حافظهٔ همیشهفعال پروژه برای Claude Code. فایلهای زندهای که هنگام شروع نشست auto-catchup و در هر compaction و پایان نشست auto-snapshot میکنند — تا هیچ کانتکستی با ریست از دست نرود. با پنج هوک غیرمسدودکننده خودش کار میکند؛ هرگز کار را اجبار نمیکند.
Make your AI agent code with your project's architecture, rules, and decisions.
Complete AI coding workflow system. Self-correcting memory + persistent FTS5-indexed research wikis + auto-research loop + multi-LLM council on a single SQLite store. 33 skills, 8 agents, 22 commands, 37 hook scripts across 24 events. Cross-agent via SkillKit.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Build and maintain an LLM-curated personal knowledge base in your project — Andrej Karpathy's LLM Wiki pattern, designed to scale to thousands of pages without becoming a context bottleneck. Now with an optional compiled graph layer for typed, provenance-backed relationships.
Connect to Atlassian products including Jira and Confluence. Search and create issues, access documentation, manage sprints, and integrate your development workflow with Atlassian's collaboration tools.
AI-powered wiki generator for code repositories. Generates comprehensive, Mermaid-rich documentation with dark-mode VitePress sites, onboarding guides, deep research, and source citations. Inspired by OpenDeepWiki and deepwiki-open.