216 boosters for "ach" — open source, verified from GitHub, ready to install
ExRam.Gremlinq is a .NET object-graph-mapper (OGM) for Apache TinkerPop™ Gremlin-enabled graph databases. It translates strongly-typed C# LINQ-style queries into Gremlin bytecode/scripts and handles serialization/deserialization. The solution contains ~37 projects (17 src, 16 test, 1 templates, 3 te
"name": "claudetop", "description": "htop for your Claude Code sessions — real-time cost tracking, cache efficiency, model comparison, smart alerts, web dashboard, and session analytics", "name": "Lior Weinstein",
FACET is a markup language and authoring system for structured AI prompting that enables human-readable, machine-deterministic configuration across multiple AI platforms (Claude, ChatGPT, Cursor, Windsurf). It helps developers create reusable, validated prompts with strict syntax rules, type checking, and built-in transformations.
Scalable query engine for web scrapping/data mashup/acceptance QA, powered by Apache Spark
"description": "Run any model with an Anthropic- or OpenAI-compatible API (e.g. DeepSeek, GLM, Kimi, Qwen, MiniMax) — even your Codex subscription — as real Claude Code workflows, agent-team teammates, or one-shot subagents, driven exactly like native ones. Your main session's own auth is untouched
Sub-Agents enables parent agents to delegate specialized tasks to child agents with independent prompts, tools, and providers, allowing developers to build modular, hierarchical AI systems that solve complex multi-step problems.
openclone의 단일 진입점. 유저가 로 직접 호출했거나 자연어("alice로 전환", "새 클론 만들어" 등)로 의도를 밝힌 경우 모두 이 스킬이 처리합니다. 1. 이 비어있지 않으면 room 모드 — 모든 멤버 페르소나와 라우팅 규칙 주입, 턴당 가장 적절한 한두 명이 응답. 2. 이 존재하면 single-clone 모드 — 그 클론이 매 턴 응답.
当用户对已有老板 Skill 说以下内容时,进入进化模式: 当用户说 时,展示预置老板列表供选择: 当用户在任何模式下说 草、卧槽、我靠、怎么怼、教我反击 时,进入反击模式。
ALWAYS use when: creating/editing marimo notebooks, working with any .py file containing @app.cell decorators, building reactive Python notebooks, doing exploratory data analysis in notebook form, converting Jupyter (.ipynb) to marimo, or when user mentions "marimo", "reactive notebook", or asks for an interactive Python notebook. Covers marimo CLI (edit, run, convert, export), UI components (mo.ui.*), layout functions, SQL integration, caching, state management, and wigglystuff widgets. If a task involves notebooks and Python, invoke this skill first.
SWR is a React hook library for efficient data fetching with built-in caching, revalidation, and real-time updates. Developers building API-driven applications benefit from simplified server state management and automatic synchronization.
Analyze, review, and provide recommendations for distributed system designs. Use when: (1) Reviewing existing system architectures for gaps or improvements, (2) Analyzing system designs for scalability, reliability, or performance issues, (3) Providing recommendations on load balancing, caching, databases, sharding, replication, messaging, rate limiting, authentication, resilience, or monitoring, (4) Assessing trade-offs in system design decisions, (5) Creating system design review documents with gaps and recommendations. Triggers: "review my system design", "analyze this architecture", "what are the gaps", "system design recommendations", "scalability review", "reliability analysis".
Ray is an expert booster for Apache Ray distributed computing that helps developers convert Python code to Ray workloads, debug applications, and optimize performance across Ray's ecosystem (Core, Data, Train, Serve, Tune). Ideal for ML engineers and Python developers scaling computations from single machines to clusters.
Your job is to turn an idea, file, folder, URL, exported dataset, or rich deliverable request into a polished live HTML page the user can open, share, Do not present this as a parser, CLI, or internal pipeline. The user only
"name": "coworkpowers", "description": "Knowledge work superpowers that compound over time. Research, execute, review, and capture learnings to make each task easier than the last.", "name": "Nabeel Hyatt",
<!-- AUTO-GENERATED from SKILL.md.tmpl — do not edit directly --> <!-- Regenerate: bun run gen:skill-docs --> If is , do not proactively suggest ostack skills — only invoke
你是一个"老师蒸馏器"。你的任务是通过与学生对话,提取老师的教学能力、人格特征和学科知识,生成结构化的 AI 老师技能文件。 1. 信息采集:使用 引导学生填写老师信息 2. 素材导入(可选):如果学生有聊天记录或文档,按下方工具表选择合适的工具解析
You score a website against the 25 guidelines in this repo. Each guideline has a machine-testable rubric in (probe + weighted sub-checks + codebase hints). Your job: run the probes, score, prioritize, report. The probes shell out to , , and . If any is missing, surface the error to the user with th
An autonomous agent designed to handle project design and coding tasks end-to-end without human intervention, leveraging Claude's code execution capabilities. Useful for developers seeking automated development workflows and system introspection.
You are the solana-guide, an educational specialist for Solana blockchain development. You teach understanding, not memorization, through progressive learning and practical examples. 1. Teach Understanding, Not Memorization 2. Progressive Complexity
You are the solana-architect, a senior Solana program architect specializing in system design, account structures, PDA schemes, token economics, and cross-program composability. Consider alternatives (Pinocchio/native) when: When your architecture is ready for implementation, choose the right specia
You are the game-architect, a senior Solana game architect specializing in game system design, Unity/C# architecture, on-chain game state management, player progression, NFT integration, and PlaySolana ecosystem compatibility. Unless explicitly specified, design for: When PSG1 is specified:
A GDExtension (C++) plugin for Godot 4 that brings full Solana blockchain support to game development. Write GDScript to send transactions, manage wallets, mint NFTs, and interact with Anchor programs — on Windows, Linux, macOS, Web, Android, and iOS.
Ask an opening question to gauge where the user stands: Use these question types, escalating from simple to complex: When the user arrives at the answer, ask them to summarize:
When reviewing or writing code, ensure: