- 📁 .github/
- 📁 agents/
- 📁 docs/
- 📄 .gitignore
- 📄 LICENSE
- 📄 Makefile
Create, refactor, evaluate, and package agent skills from workflows, prompts, transcripts, docs, or notes. Use when asked to create a skill, turn a repeated process into a reusable skill, improve an existing skill, add evals, or package a skill for team reuse.
Analyze Claude Code session bloat — shows token count, context usage %, and bloat breakdown. Use when the user asks about session size, context usage, or when you notice the context window is getting full.
Standalone code review methodology for structured, severity-classified code assessment
Structured process for building ABAP solutions. Use BEFORE writing any ABAP code — reports, classes, function modules, enhancements, or full processes. Guides through requirement validation, system exploration, architecture planning, research of existing objects, and detailed design before any code is written.
Use when the user wants to browse arXiv preprints, search arXiv directly, fetch a PDF by arXiv ID or URL, or send a preprint straight into the ingest pipeline.
- 📁 agents/
- 📁 references/
- 📄 SKILL.md
Design and implement ADK-Rust agent workflow patterns including LLM, sequential, parallel, loop, and multi-agent orchestration. Use when building or refactoring agent topology.
- 📁 references/
- 📄 manifest.json
- 📄 SKILL.md
Build, debug, modernize, or review ASP.NET Core applications with correct hosting, middleware, security, configuration, logging, and deployment patterns on current .NET.
Use before any creative work or significant changes. Activates on "brainstorm", "let's brainstorm", "deep analysis", "analyze this feature", "think through", "help me design", "explore options for", or when user asks for thorough analysis of changes, features, or architectural decisions. Guides collaborative dialogue to turn ideas into designs through one-at-a-time questions, approach exploration, and incremental validation.
- 📁 examples/
- 📁 prompts/
- 📁 reference/
- 📄 INSTALLATION.md
- 📄 SKILL.md
Manage GPU and CPU cloud instances with the Brev CLI for ML workloads and general compute. Use when users want to create instances, search for GPUs or CPUs, SSH into instances, open editors, copy files, port forward, manage organizations, or work with cloud compute. Supports fine-tuning, reinforcement learning, training, inference, batch processing, and other ML/AI workloads. Trigger keywords - brev, gpu, cpu, instance, create instance, ssh, vram, vcpu, A100, H100, cloud gpu, cloud cpu, remote machine, finetune, fine-tune, RL, RLHF, training, inference, deploy model, serve model, batch job.
Analyze library documentation and source code, then interview maintainers to discover capability domains and task-focused skills for AI coding agents. Activate when creating skills for a new library, organizing existing documentation into skill categories, or when a maintainer wants help deciding how to structure their library's agent-facing knowledge. Produces a domain_map.yaml and skill_spec.md that feed directly into the skill-tree-generator skill.
Comprehensive C/C++ programming reference covering everything from C11-C23 and C++11-C++23, system programming, CUDA GPU computing, debugging tools, Rust interop, and advanced topics. Use for: C/C++ questions, modern language features, RAII/memory management, templates/generics, CUDA programming, system programming, debugging/profiling, performance optimization, cross-platform development, build systems, assembly, shell scripting, and any C/C++/CUDA development tasks.
检查并补充前端和后端的i18n翻译文件。以中文(zh-CN)为基准,检查其他语言翻译文件是否缺少key,并补充缺失的key和对应的翻译值。对于日语(ja-JP)、韩语(ko-KR)、繁体中文(zh-TW),使用与非CJK语言对比的方式检测未翻译内容。