1,330 boosters — open source, verified from GitHub, ready to install
Generates professional, AI-artifact-free cover images for technical articles by analyzing content themes and selecting from 25 curated artistic styles with optimized image prompts. Useful for technical writers, developers, and content creators who need publication-quality visuals without generic AI aesthetics.
agentMemory provides AI agents with a persistent, searchable knowledge management system that syncs with project documentation. Developers building agent applications benefit from centralized memory management without manual state handling.
日本政府のオープンデータに MCP サーバー（）経由でアクセスする。 で を使う。 は SSE 非対応のため不可。
Trade on Lighter — a ZK-rollup perpetual futures and spot exchange. Scripts live in this skill's directory. Read commands use , write commands use . Every command prints structured JSON to stdout. Errors are always in JSON as . Commands use syntax mirroring the Lighter UI (e.g. , , ).
You are a biomedical data visualization expert powered by the Bizard atlas — a comprehensive collection of 256 reproducible visualization tutorials covering R, Python, and Julia, with 793 curated figure examples from real biomedical research. When a user asks for help with data visualization — espec
If no interval is specified, the default interval is 10 minutes. The loop stops automatically when any of the following occur: 1. Maximum iteration count (100) is reached
当用户请求涉及以下任一主题时使用本 skill： 使用本 skill 处理任务时，优先输出：
Two tiers: hooks handle automatic context flow (surfacing, extraction, compaction survival). MCP tools handle explicit recall, write, and lifecycle operations. Three instances for neural inference. The wrapper defaults to . All three models auto-download via if no server is running (Metal on Appl
Matchms is a Python library for mass spectrometry data processing, enabling researchers to load spectral data from multiple formats, standardize metadata, calculate spectral similarities, and identify compounds for metabolomics workflows.
에이전트 기반 작업 오케스트레이션 스킬. Plan→Work→Review 사이클로 구조화된 작업 수행. 브릿지가 에이전트 상태를 실시간으로 추적하고 채널에 알림을 전송합니다. 에이전트 프롬프트를 읽어서 에 전달:
VMware family entry point — AI-powered VM lifecycle, deployment, and alarm management — 34 MCP tools. vmware-aiops is the entry point. Add modules for additional capabilities: 1. Browse datastore for OVA images →
引导用户完成一次结构化需求访谈，收集配套素材，最终打包生成一份可直接使用的完整Skill文件包。 1. 用户不需要懂Skill格式——他们只需要回答问题，你来负责转化 2. 每轮问完先小结确认——不要一口气把12个问题全抛出来
The captain's log for your codebase. Every decision, discovery, and change logged as you ship code. Use GitHub as a complete knowledge graph where every brainstorm, commit, review, and decision is traceable. This skill orchestrates existing skills and references; it defines when and how to invoke th
You are a writing editor. Your job: take text that reads like AI wrote it and make it read like a specific human did. That means two things: strip the machine patterns and inject real voice. One without the other fails. 1. Read the input text carefully 2. Scan for all 40 patterns listed below
This skill is a practical AutoResearch-style loop for one narrow job: optimize Chinese communication copy until it reads more like something a real The user normally only needs to define:
你精通 LaTeX/TikZ 绘图和 draw.io XML 生成，擅长将论文中的系统架构、协议流程、技术方案、技术路线图转化为高质量配图。 执行任务时不要陷入惯性——不是所有图都该用 TikZ，不是所有架构都该自下而上，不是遇到编译错误就反复微调同一行代码。带着目标进入，边画边判断，遇到问题就诊断根因，发现方向错了就换方案——全程围绕「这张图要传达什么信息」做决策。 ① 定义成功标准：这张图要传达什么信息？读者看到后应该理解什么？几个模块、几层关系、什么样的视觉层次？这是后续所有判断的锚点。
Expert in content strategy, SEO-driven storytelling, and developer advocacy. Bridges the gap between technical products and market adoption. Use when creating marketing content, developing content strategy, writing blog posts, or planning developer outreach.
Read the user's memex before doing anything else. It is the current map of what is active, what changed, and where deeper evidence lives. Canonical memex path: 1. Read the memex already in context or call .
Clawstr is a decentralized social network built on Nostr that enables AI agents to post, interact, and transact with each other using Bitcoin payments. It benefits AI developers and agents seeking censorship-resistant, decentralized communication and economic coordination.
Transform podcast audio into cinematic visual content using Seedance 2.0 on Higgsfield. This skill produces video prompts that replace static audiograms with storytelling-driven visual experiences built entirely from constructed imagery. The hook is the opening frame that stops the scroll. It must c
Seedance 2.0 accepts multi-modal inputs and produces short-form cinematic video output. Before writing any prompt, confirm the assets available: Before generating a prompt, answer these questions: Every course promo follows one arc:
Traditional testimonials fail because they're static talking heads in flat lighting. Cinematic social proof makes viewers feel the transformation. Show the result first, the emotion second, the person third. The first two seconds determine whether the viewer stays. Every testimonial video needs an i
1. Never show a flat screenshot. Always add depth — perspective, reflection, environment, motion. 2. The UI is the hero, not the narrator. Show the interface doing things, not someone explaining it. 3. Sound sells more than visuals. A satisfying click, a smooth transition sound, a bass hit on featur
When generating a prompt, collect or infer: Seedance 2.0 prompt structure: Each prompt block should be 15–25 lines covering: scene, camera, lighting, timing breakdown, motion notes, and sound direction.
