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SupportFlow
SupportFlow contient 7 skills collectées depuis kingning2, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
Enforces architecture rules and reusable coding patterns for this Tauri + Next.js desktop app. Use when implementing Tauri commands or events, frontend pages/components, i18n copy, Redux logic, title bar behavior, modal windows, or main-window layout.
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.
Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.
Cache expensive file processing results using SHA-256 content hashes — path-independent, auto-invalidating, with service layer separation.
Cost optimization patterns for LLM API usage — model routing by task complexity, budget tracking, retry logic, and prompt caching.
Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.
Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.