SKILL
Frontend i18n and l10n expert. Use for multilingual apps, i18next/react-i18next, Next.js i18n routing, RTL layouts, Intl APIs, date/number/currency formatting, translation pipelines.
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Frontend i18n and l10n expert. Use for multilingual apps, i18next/react-i18next, Next.js i18n routing, RTL layouts, Intl APIs, date/number/currency formatting, translation pipelines.
Comprehensive code review workflow coordinating quality, security, performance, and documentation reviewers. 4-hour timeline for thorough multi-agent review.
Guide for testing practices and frameworks
TAKT ピースエンジン。Agent Team を使ったマルチエージェントオーケストレーション。ピースYAMLワークフローに従ってマルチエージェントを実行する。
Mass spectrometry analysis. Process mzML/MGF/MSP, spectral similarity (cosine, modified cosine), metadata harmonization, compound ID, for metabolomics and MS data processing.
Reference guide for jj (Jujutsu) version control operations
Event deduplication with canonical selection, reputation scoring, and hash-based grouping for multi-source data aggregation. Handles both ID-based and content-based deduplication.
GraphQL is a query language and runtime for APIs that enables clients to request exactly the data they need. It provides a strongly-typed schema, single endpoint architecture, and eliminates over-fetching/under-fetching problems common in REST APIs.
这是一份 AI Agent 友好的部署指南。你可以将本文件交给 Claude Code、Cursor 等 AI 工具,让它们自动完成部署。
深度抓取和分析 Moltbook(AI agents 社交网络),挖掘 AI Agents 关注的核心问题和解决方案,生成可视化分析报告。理解 AI 社区的集体智慧,发现可复用的问题解决模式。
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generic skill
Context management tools for Claude Code - provides intelligent codebase mapping with Python, Rust, and C++ parsing, duplicate detection, and MCP-powered symbol queries. Use this skill when working with large codebases that need automated indexing and context management.
Context management tools for Claude Code - provides intelligent codebase mapping with Python, Rust, and C++ parsing, duplicate detection, and MCP-powered symbol queries. Use this skill when working with large codebases that need automated indexing and context management.
Context management tools for Claude Code - provides intelligent codebase mapping with Python, Rust, and C++ parsing, duplicate detection, and MCP-powered symbol queries. Use this skill when working with large codebases that need automated indexing and context management.
Refactor HTML/TSX files to use existing UI components, DaisyUI classes, and semantic colors. Use when (1) refactoring React/TSX page components to use reusable UI components, (2) replacing raw HTML elements with component library equivalents, (3) converting primitive Tailwind colors to semantic DaisyUI colors, (4) extracting repeated styling patterns into components.
Query Google Cloud Monitoring metrics using the cloud_metrics.py tool. Use when users ask about GCP metrics, Cloud Monitoring, Kubernetes metrics (CPU, memory, network), container resource usage, or need to export monitoring data. Triggers on requests like "show me CPU usage", "list available metrics", "describe this metric", "top memory consumers", or any Google Cloud Monitoring queries.
Memory preservation for Claude Code sessions. Use when approaching token limits, needing to /reset or /compact, switching between complex tasks, or preserving critical session state before context loss. Creates comprehensive memory dumps at /tmp/total-recall containing current state, decisions, artifacts, and next steps for seamless context restoration.
This skill should be used when setting up, managing, or optimizing Grail miners on Bittensor Subnet 81. Use it for GRAIL protocol tasks including miner setup, R2 storage configuration, model checkpoint management, GRPO rollout generation, performance optimization, competitive monitoring, and troubleshooting common issues like CUDA errors, upload failures, or low scores. Essential for miners working with verifiable post-training, SAT/GSM8K environments, or understanding the GRAIL incentive mechanism to improve competitiveness.
Detects and corrects Korean AI writing patterns to transform text into natural human writing. Based on scientific linguistic research (KatFishNet paper with 94.88% AUC accuracy). Analyzes 19 patterns including comma overuse, spacing rigidity, POS diversity, AI vocabulary overuse, and structural monotony. Use when humanizing Korean text from ChatGPT/Claude/Gemini or removing AI traces from Korean LLM output.
Detects and corrects Korean AI writing patterns to transform text into natural human writing. Based on scientific linguistic research (KatFishNet paper with 94.88% AUC accuracy). Analyzes 19 patterns including comma overuse, spacing rigidity, POS diversity, AI vocabulary overuse, and structural monotony. Use when humanizing Korean text from ChatGPT/Claude/Gemini or removing AI traces from Korean LLM output.
Detects and corrects Korean AI writing patterns to transform text into natural human writing. Based on scientific linguistic research (KatFishNet paper with 94.88% AUC accuracy). Analyzes 19 patterns including comma overuse, spacing rigidity, POS diversity, AI vocabulary overuse, and structural monotony. Use when humanizing Korean text from ChatGPT/Claude/Gemini or removing AI traces from Korean LLM output.
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