Software Development
1,831 results
- Perf Theory Gatherercomposio-communityUse when generating performance hypotheses backed by git history and code evidence.
- Last30days CnjesseovoResearch what Chinese internet users actually said in the last 30 days across Weibo, Xiaohongshu (RED), Bilibili, Zhihu, Douyin, WeChat public accounts, Baidu and Toutiao: engagement-weighted ranking, cross-platform clustering, cited Markdown/JSON/HTML reports.
- Python Mathtrpc-groupSmall Python utilities for math and text files.
- Domain HunterReScience LabSearch domains, compare prices, find promo codes, get purchase recommendations. Use when user wants to buy a domain, check domain prices, find domain deals, compare registrars, or search for .ai/.com domains.
- RequesthuntReScience LabGenerate user demand research reports from real user feedback. Scrape and analyze feature requests, complaints, and questions from Reddit, X, GitHub, YouTube, LinkedIn, and Amazon. Use when user wants to do demand research, find feature requests, analyze user demand, or run RequestHunt queries.
- Python Scriptingbenchflow-aiPython scripting with uv and PEP 723 inline dependencies. Use when creating standalone Python scripts with automatic dependency management.
- Verilog Sv Languagea5c-aiExpert-level Verilog and SystemVerilog knowledge following IEEE 1800 standards. Generates synthesizable RTL code with proper coding styles and constructs.
- Dx Reviewlibpdf-jsReview developer experience and API ergonomics
- Dotnet ArchitectrmyndharisExpert .NET backend architect specializing in C#, ASP.NET Core,
- Ctf ReversewgpsecCTF 逆向工程技术。当挑战提供未知二进制文件需要分析算法逻辑、游戏客户端需要破解验证、混淆代码需要还原、自定义 VM 需要解释执行时使用。覆盖 Ghidra/IDA 静态分析、GDB/Frida 动态调试、反调试绕过、WASM/.NET/APK/Python 字节码/Go/Rust 多平台逆向
- Analyze IssueNeoLabAnalyze a GitHub issue and create a detailed technical specification
- Attach Review To PrNeoLabAdd line-specific review comments to pull requests using GitHub CLI API
- Create PrNeoLabCreate pull requests using GitHub CLI with proper templates and formatting
- CritiqueNeoLabComprehensive multi-perspective review using specialized judges with debate and consensus building
- Load IssuesNeoLabLoad all open issues from GitHub and save them as markdown files
- Resolve Fixed Pr CommentsNeoLabVerify what PR review comments have been addressed (committed/pushed OR uncommitted local changes) and resolve the threads that are genuinely fixed or no longer relevant.
- Review Local ChangesNeoLabReview your local uncommitted working-tree changes (git diff plus untracked files) and return actionable improvement suggestions. Use before committing, when nothing has been pushed yet.
- Review PrNeoLabReview an existing GitHub pull request and post inline review comments on its diff. Use when the changes are on an opened PR rather than your local working tree.
- roborev:respondwesmAdd a response or note to a roborev code review to document how findings were addressed
- Thinking Map TerritorytjboudreauxRecognize limits of mental models and diagrams. Use when models diverge from reality, debugging expectation mismatches, or questioning abstraction accuracy.
- Thinking SocratictjboudreauxSystematic questioning framework to deepen understanding, challenge assumptions, and uncover hidden beliefs. Use for requirements gathering, debugging, coaching, and critical analysis.
- Hivemind GraphActiveloopQuery the local code graph (functions, classes, calls, imports) through the Deeplake mount at memory/graph/. Use when the user asks structural questions about the codebase — "what calls X?", "what does Y import?", "where is Z defined?", "what's the architecture / which subsystems exist?", "what's the impact of changing this?".
- Build Review Interfaceai-evals-courseBuild a custom browser-based annotation interface tailored to your data for reviewing LLM traces and collecting structured feedback. Use when you need to build an annotation tool, review traces, or collect human labels.
- Paper2codeprathamlearnstocodeConverts an arxiv paper into a minimal, citation-anchored Python implementation. Trigger when user runs /paper2code with an arxiv URL or paper ID, says "implement this paper", or pastes an arxiv link asking for implementation. Flags all ambiguities honestly. Never invents implementation details not stated in the paper.