Catalog
Every x402, MPP, MCP, and skill listing we've indexed, normalized, and enriched.
tool-foundation-sprint-differentiation
Day 1 afternoon move of a Foundation Sprint. Converts the morning's Basics frame into a defensible strategic position by scoring differentiator candidates against customer-perceived value, choosing two committed differentiators, plotting alternatives on a 2x2 chart, writing decis
tool-foundation-sprint-brief
Pre-sprint brief that locks scope, the decision the sprint must unlock, team and role assignments, logistics, inputs to bring, and success criteria before Day 1 of a Foundation Sprint. Use after the readiness verdict is Go and before the sprint begins. Produces a one-page artifac
tool-foundation-sprint-basics
Day 1 morning move of a Foundation Sprint. Forces explicit team choices on target customer, important problem, team advantage, and competitors and alternatives. Produces a single coherent strategic frame that becomes the input to Day 1 afternoon Differentiation. Use after the spr
tool-foundation-sprint-approach-options
Day 2 morning move of a Foundation Sprint. Forces generation of 3 to 7 candidate approaches as one-page summaries before the team converges on a top bet. Use after Day 1 is signed and before Magic Lenses on Day 2 afternoon. Enforces a minimum of 3 approaches to prevent first-idea
sn-update
Update SenseNova Skills (the sn-* bundle) inside an OpenClaw or hermes-agent install. ALWAYS use this skill when the user says any of: "update SenseNova skills", "update SN skills", "更新 sensenova skills", "更新 sn skills", "刷新 sn-*", "升级 sn-* skills", or names a specific sn-* skill
sn-search-social-en
搜索英文社交平台：Reddit 帖子、Twitter/X 推文、YouTube 视频。用于获取英文社区讨论和视频内容。
sn-search-social-cn
搜索中文社交平台：B站视频、知乎问答、抖音视频。部分平台需要 cookie 认证，稳定性因平台而异。
sn-search-code
搜索开发者资源：GitHub 仓库/代码/Issue、Stack Overflow 问答、Hacker News 讨论、HuggingFace 模型/数据集/Space。用于查找代码示例、开源项目、技术问答、预训练模型。
sn-search-academic
搜索学术论文和百科知识：ArXiv 预印本、Semantic Scholar（含引用数）、PubMed 生医文献、Wikipedia 百科。支持按章节读取 ArXiv HTML 全文和 PMC 开放获取全文，适合学术调研和深度阅读。
sn-research-synthesis
深度研究的综合判断；当多个 sub_reports 已完成，需要产出 synthesis.md，明确主线判断、证据强弱、跨维度共识、关键冲突、冲突解释、不确定性，以及对原始问题的回答时使用。它用于“先想清楚结论”，不用于直接写最终报告。
sn-research-report
基于已有研究材料或草稿生成/修改最终 Markdown 研究报告的成稿 skill。遇到以下情况使用：①已有 deep research 产物 `synthesis.md`、`plan.json`、`sub_reports/*.md`，需要写成最终 `report.md`；②已有报告、草稿或文稿路径，需要重写、改写、润色、压缩、扩写、重组结构、增强摘要或补充表格/图示；③需要在报告成稿阶段主动规划并插入 Markdown 表格、Mermaid 图、AI 概念配图等视觉元素。仅用于终稿生成和文稿定向编辑；不用于从零调研、研究规划、联网取证、分维度研究或生成
sn-research-planning
深度研究的精简计划；当需要仅基于 request.md 生成 plan.json，一次性完成研究定界、报告格式发现、结构设想、维度拆解、关键问题、搜索策略、依赖、执行顺序和完成标准时使用。
sn-report-format-discovery
发现特定报告类型的结构规范与写作约束；当需要判断“这类报告应该长什么样”、为报告生成章节结构/必备元素/风格约束，或为 deep research 的 `report_shape` 提供依据时使用。适用于行业/市场/竞品分析、技术选型、政策/法律/公共事务、学术/医学综述、尽职调查、事件追踪与事实核查等场景，也可单独用于报告格式研究。
sn-ppt-standard
Standard-mode PPT pipeline. All LLM / VLM / T2I calls are wrapped in a single CLI entry (scripts/run_stage.py). The main agent's job is simple: emit ONE shell command per stage, never write loops, never write prompts.
sn-ppt-entry
Entry point for PPT generation. Collects role / audience / scene / page_count / ppt_mode (creative or standard), parses uploaded pdf/docx/md/txt files, produces task_pack.json + info_pack.json in a new deck_dir, then dispatches to sn-ppt-creative or sn-ppt-standard. Use when the
sn-ppt-doctor
Environment diagnostic for the PPT family. Validates sn-image-base, API keys, Node runtime, and optional deps; interactively writes .env for required vars. Runs before sn-ppt-entry; does not modify sn-image-* skills.
sn-ppt-creative
Creative-mode PPT pipeline. One full-page 16:9 PNG per slide. LLM / VLM calls go through sn-ppt-standard/lib/model_client.py (shared thin client). Text-to-image (the actual png rendering) goes through sn-image-base/scripts/sn_agent_runner.py. Expects task_pack.json + info_pack.js
sn-md-to-html-report
将 Markdown 文档转换为美观、舒适、结构清晰、可直接打开的 HTML 长篇报告。适用于把 .md 文件转成 HTML、统一研究报告/行业报告/调研文档版式、生成可离线分享的单文件网页报告、嵌入或校验本地图片、修复 Markdown 表格分隔符导致的错列问题，或优化已有 HTML 报告的阅读留白、图片呈现、目录导航、表格响应式和打印样式。
sn-infographic
Generates professional infographics with various layout types and visual styles. Analyzes content, recommends layout and style, and generates publication-ready infographics. Use when user asks to create "infographic", "信息图", "visual summary", or "可视化".
sn-image-resume
Generates a designed portfolio-resume image from resume content provided in conversation text. Extracts optional style instructions, converts the resume into a fixed portfolio-resume layout prompt, and generates the final image through sn-image-base. Use when user asks to create
sn-image-imitate
Generates a new image that imitates the style of a reference image while updating content based on user intent. Uses a three-stage pipeline: image annotation (long caption), caption rewriting, and image generation. Use when user asks to "imitate style", "保持这个风格重画", "按这张图风格生成", or
sn-image-doctor
Environment diagnostic skill for SenseNova-Skills project. Checks that sn-image-base is properly installed and configured, validates dependencies and environment variables. Prompts user to configure missing required variables and saves them to .env file. After configuration, relo
sn-image-base
Base-layer skill for the SenseNova-Skills project, providing low-level APIs for image generation, recognition (VLM), and text optimization (LLM). This skill does not preprocess inputs; it only calls backend services and returns results. This skill is not user-facing and is intend