TurboDRF - fast Django REST framework with automatic OpenAPI, serializers, views, routers, and caching
Skills（SKILL.md）は、AIエージェント（Claude Code、Cursor、Codexなど）に特定の能力を追加するための設定ファイルです。
詳しく見る →TurboDRF - fast Django REST framework with automatic OpenAPI, serializers, views, routers, and caching
Redis - in-memory database, caching, pub/sub, sessions, rate limiting, data structures
解析用户从 ChatGPT 等 AI 获取的记忆回复（支持多个 AI 依次粘贴），与现有画像对比后，有据可查的条目内部整合直接写入并标注置信度；模糊/冲突/当前需求条目以选择题形式逐条确认；❌记忆不足条目不丢弃，转入步骤五追问队列；写入后执行字段级完整度扫描，列出缺口清单并逐批追问，达到必填门槛后才进入量表阶段。
根据用户已填写的基础身份和能力信息，AI推断学术动机、人格和认知风格维度。当用户不想填写量表、或希望快速估算时使用。
对画像系统的维度结构进行增加、删除或修改。当用户需要新增一个画像维度、删除某个维度、或修改某个维度的字段定义时使用。
对已有科研人员画像进行精确的字段补充或修改。当用户说「修改」「更新」「补充」「不对」等，或审核反馈后需要更新数据时使用。
Saas Governance Devops Incident Design skill
Databricks App Production Readiness skill
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Saas Deployment Stamp Design skill
Azure Optimization Ops skill
> **「在数字沧海中，找到你的方向」**
{{SKILL_DESCRIPTION}} Use this skill when working with multi-threading, parallel processing, background tasks, or any thread-related operations in LÖVE games.
{{SKILL_DESCRIPTION}} Use this skill when working with time measurement, frame rate control, performance monitoring, or any time-related operations in LÖVE games.
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Use when lua C API for extending Lua with native code including stack operations, calling C from Lua, calling Lua from C, creating C modules, userdata types, metatables in C, and performance optimization techniques.
Lua development guidelines covering tables, metatables, error handling, game development, and performance optimization.
CRITICAL: Use for concurrency/async. Triggers: E0277 Send Sync, cannot be sent between threads, thread, spawn, channel, mpsc, Mutex, RwLock, Atomic, async, await, Future, tokio, deadlock, race condition, 并发, 线程, 异步, 死锁
CRITICAL: Use for performance optimization. Triggers: performance, optimization, benchmark, profiling, flamegraph, criterion, slow, fast, allocation, cache, SIMD, make it faster, 性能优化, 基准测试
Use when learning Rust concepts. Keywords: mental model, how to think about ownership, understanding borrow checker, visualizing memory layout, analogy, misconception, explaining ownership, why does Rust, help me understand, confused about, learning Rust, explain like I'm, ELI5, intuition for, coming from Java, coming from Python, 心智模型, 如何理解所有权, 学习 Rust, Rust 入门, 为什么 Rust
World-building companion for the Aphebis platform that helps users explore, discuss, and extend fictional worlds. Use when users want to browse existing worlds/areas/locations, brainstorm world expansion ideas, create new worlds, or understand how fictional locations interconnect narratively. Provides collaborative world-building with discovery-first approach, creative philosophy guidance, and structured workflows for incremental building.
Guide for implementing MIPS CPU interpreters/emulators, particularly for running compiled MIPS ELF binaries. This skill applies when building virtual machines to execute MIPS32 code, creating emulators for retro game ports (like Doom), or implementing CPU simulators. Use for tasks involving ELF parsing, instruction decoding, syscall emulation, and memory management for MIPS architecture.
Use when Python code runs slowly, needs profiling, requires async/await patterns, or needs concurrent execution - covers profiling tools, optimization patterns, and asyncio; measure before optimizing (plugin:python@dot-claude)
コンテキストサイズを監視し、作業中に自動 compact が走らないよう事前にコンテキストを圧縮する。「コンテキストを圧縮して」「compact して」「メモリを整理」「会話を整理」「履歴を圧縮」「コンテキストが大きい」「動作が重い」などで起動。操作がない時やタスクの区切りでコンテキストが一定ラインを超えていたら自動的に /compact を実行。
Local memory storage patterns, file coordination, and cleanup
Maven build profile classification and user workflow for unmatched profiles
Memory layer operations for persistent session storage
Use when managing Shannon CLI performance and costs - check cache statistics, clear stale entries, set budgets, understand automatic model selection and cost optimization
Expert guidance for creating, updating, and maintaining CLAUDE.md memory files following best practices for hierarchical memory, structure, content organization, and team collaboration
Best practices for handling long forms using React Hook Form and Zod. Use for booking, profile updates, or tour creation.
フロントエンド技術（CSS、JavaScript、HTML、パフォーマンス、アクセシビリティ）のナレッジベース管理。Web開発の実装タスクやコーディング作業時に自発的にナレッジベースを参照し、ベストプラクティスを適用することで作業の精度と速度を向上させる。URLや記事からの技術情報の要約・蓄積、質問への回答も行う。モダンCSS（Grid、Flexbox、@scope、View Transitions）、JavaScript パターン、Core Web Vitals、WCAG、ブラウザ互換性などに対応。
- Managing a "Booking Cart" or "Wishlist".
Jira issue management using the jira CLI with JSON output. Use for creating, viewing, updating, searching issues, fetching complete hierarchies, and managing sprints.
Linear.app issue management using Linearis CLI with JSON output and smart ID resolution. Use when creating, viewing, updating, or searching Linear issues, managing sprints/cycles, or listing teams/projects.
Advanced code-splitting and lazy-loading techniques. Use to reduce initial bundle size and speed up the homepage.
Guide for storing enriched memories that capture decisions, preferences, and context. Use when making significant decisions or learning user preferences.
[マニュアル] 2. 手順書を会話でステップ実行支援でガイド
Analyze external market and competitive signals to inform pilot hypotheses and strategy. Use when gathering industry trends, competitor benchmarks, and emerging signals from literature or web sources to supplement pilot planning and validation.
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Research market trends, competitors, audience insights, and marketing best practices. Use before marketing-planning for data-driven strategy.
Complete SEO skill for technical audits (Core Web Vitals, site speed, crawlability/indexation, robots/sitemaps/canonicals, structured data, mobile, security, internal linking), SEO marketing strategy (keyword research, content planning, competitive analysis, E-E-A-T), operational workflows (cross-team collaboration, OKRs), link building, local SEO, international SEO (hreflang), and multi-platform SEO (Google, YouTube, Reddit, social). Updated for January 2026.
Build a custom marketing strategy through an interactive interview. Develops business positioning, audience targeting, channel selection, and customer journey—then exports as a reusable JSON profile.
Set up Match for iOS code signing certificate management
Use when working with Maven build phases, goals, profiles, or customizing the build process for Java projects.
Current best practices for Model Context Protocol server design, implementation, and integration. Updated patterns for 2025 MCP ecosystem including multi-server orchestration, security, and performance.
Complex analysis using Cipher MCP (10-30s) for library research via context7, design pattern memory search, and multi-tool integration for LoRAIro strategic planning
Solve the context window bloat problem when working with large MCP tool collections through **progressive disclosure** and **hierarchical indexing**.
Memory-First development workflow integrating Serena short-term project memory and Cipher long-term design knowledge for efficient LoRAIro development
Fast code operations using Serena MCP (1-3s) for symbol search, memory read/write, and basic code editing in LoRAIro project
Run an MCP evaluation using mcpbr on SWE-bench or other datasets.