Generate a professional PDF restaurant report by scanning RESTAURANT-*.md files in current directory and running the bundled Python ReportLab generator
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Generate a professional PDF restaurant report by scanning RESTAURANT-*.md files in current directory and running the bundled Python ReportLab generator
日本語の概要は準備中です。原文の説明を表示しています。
Competitive pricing analysis — compares menu prices against local competitors, identifies underpriced items leaving money on the table and overpriced items hurting sales
日本語の概要は準備中です。原文の説明を表示しています。
Detect and fix AI-generated writing patterns (slop). Comprehensive detection with 50+ patterns across 3 severity tiers, structure weighted above lexical tells, scoring system, and editor mode that directly fixes problems. Use when scanning any content for AI tells, auditing drafts before publishing, checking if writing "sounds like AI", humanizing AI-generated text, or verifying content authenticity. Trigger on "check for slop", "does this sound like AI", "humanize this", "AI audit", "slop check", "clean up AI writing", or any request to detect/remove artificial-sounding patterns. Also use proactively before publishing any AI-assisted content.
日本語の概要は準備中です。原文の説明を表示しています。
Score a PhD applicant's profile and rank candidate advisors using a connection-first 4.0-scale scoring system. Best-supported for physics / HEP and materials science (MSE), with the scoring engine extensible to chemistry, biology, CS, math, EE, ChemE, earth science (each with field-specific caveats — see references/journal_tiers.md). Use when the user wants to evaluate their PhD application chances, find matching advisors at top US programs, score a CV for graduate school, or compare candidate professors. Also triggers when the user mentions phdtaketaketake or its connection-first philosophy of valuing advisor network over h-index.
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个性化雅思口语语料生成器。纯 Agent 内闭环(问卷 → 引导对话 → 7 步蒸馏 → 个人画像 → 静态语料网站),零后端依赖,一键安装可用。需要题库自动同步 / RAG 检索可升级到 runnable-export 模式。
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Coordinate the custom Elementor Widget site workflow for kickoff, lightweight company intake, conditional reference research, new-versus-existing site style routing, uncertain next steps, project resumption, or continuous work across content, Design Systems, UI, HTML, and Widget implementation. Do not use for release, old-Widget troubleshooting, theme development, or remote WordPress management.
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Create branded 试界TryWorld AI-knowledge videos in the fixed "Paper Algorithm" (纸上算法) style with HyperFrames. Input is a Chinese voiceover script and optional images; output is a 16:9 horizontal video with Azure YunxiNeural (真·云希) voiceover, word-synced captions, ink/paper animations and unified transitions, an always-visible anti-counterfeit red seal, plus horizontal (4:3) and vertical (3:4) cover images and platform-optimized titles for Bilibili/Douyin/Xiaohongshu. Brand values are theme-driven (themes/paper-algorithm.json by default; custom brand themes supported — see references/theme-guide.md). Use when the user provides an AI 科普/教程/内容解读/知识分享 script and wants a TryWorld/试界 branded video, asks for the 纸上算法/Paper Algorithm style, wants a consistent script-to-video pipeline with covers and titles, or wants this pipeline with their own brand theme.
日本語の概要は準備中です。原文の説明を表示しています。
Launch a guided durable update for the active gc-branch.
日本語の概要は準備中です。原文の説明を表示しています。
对 DiT(扩散/多模态生成)模型执行 W8A8 动态(data-free)或 W8A8 MXFP8(data-free)量化。覆盖 HunyuanVideo、Wan2.2-T2V/I2V/TI2V、FLUX.1-dev(已迁移)、SD3、Sana、HunyuanDiT、CogViewX 等。YAML apiversion 固定 multimodal_sd_modelslim_v1,统一 MultimodalPipelineInterface 重构路径(不再保留 LegacyMultimodalPipelineInterface)。模板与字段以 msmodelslim/model/hunyuan_video/model_adapter.py(唯一已迁移到重构路径且 lab_practice YAML 已 validated 的 DiT)为参考;其它 DiT 需按各自推理仓的 `parse_args` 调整字段集合。data-free 指不引入外部激活校准数据,spec.dataset(校准集短名,短名如 wan2_2_t2v;enable_dump: false 时不参与 dump)仍必填;精度调优通过下游经验库 L2 §7 + 直接调 `quantization-expert-experience-tuning-rules/scripts/apply_rollback.py`(整层回退)扩展 exclude 列表,闭环由 `quantization-accuracy-tuning-orchestrator` 调度。
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Find authoritative guidance for installing, configuring, operating, securing, and troubleshooting OpenClaw, including channels, model providers, Gateway operations, tools, plugins, automation, nodes, multi-agent routing, and CLI errors. Use for any question or maintenance task involving an OpenClaw installation, `openclaw` CLI command, Gateway daemon, configuration key, or integration.
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Enter explore mode - a thinking partner for exploring ideas, investigating problems, and clarifying requirements. Use when the user wants to think through something before or during a change.
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Set up Cloudflare R2 image/file uploads for NowStack Mobile - create the bucket, get S3 credentials, set the R2_* env vars on the Convex deployment, and verify. Use for "set up image uploads", "configure R2", "Cloudflare storage", "enable file uploads", or "file uploads not working".
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Slice a NowStack Mobile app's .agents/plan/PRD.md + .agents/plan/ARCHITECTURE.md into well-scoped, implementable task files under .agents/plan/tasks/, each an autonomous 1–3h vertical slice (Convex schema/function → Expo screen → wiring) with success criteria, dependencies, and verification commands. Use for "create tasks", "ns tasks", "break this into tickets", or as the third planning step after ns-prd and ns-architecture. Both docs must exist first.
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Mirror an explicit NowStack iOS Simulator through serve-sim into a live browser preview, then drive the app from that browser. Use for `/ns preview`, showing the Expo app, or collecting browser-visible mobile UI proof.
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Plan safe Convex schema and data migrations. Use for widen-migrate-narrow rollouts, backfills, breaking field changes, table splits, or failed schema deploys.
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Use when optimizing Convex database read bandwidth, documents-read cost, query indexes, full-table scans, function-level usage dashboard findings, or code that uses .filter(), unbounded .collect(), N+1 reads, or expensive reactive Convex queries.
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Implement masked modal routes in NowStack Mobile web-app. Use for TanStack Start route masks, shareable detail URLs, back-to-close, and refresh-to-page behavior.
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Run the NowStack Mobile setup checker as a strict read-only contract. Use for `/ns check`, configuration readiness, external account status, production preflight, or machine-readable setup evidence.
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Find the angle that makes something sell. Use this skill whenever the user mentions positioning, angles, differentiation, unique selling proposition, 'how do I stand out', 'what makes us different', value proposition, messaging framework, or 'find the hook'. Also trigger when copy isn't converting (often a positioning problem), when marketing feels generic, when launching a product, creating a lead magnet, writing a landing page, or entering a crowded market. Even if the user is about to write copy without established positioning, run this first — the angle informs everything downstream. Generates 3-5 positioning angles with competitive web research and validation.
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Find realistic link prospects with SERP and backlink evidence, discover contact paths via web tools, and draft personalized outreach — with targets saved to .seo/backlink-targets.json for off-page-seo campaigns. Use this skill when the user has a linkable asset (study, tool, guide, template, product page) and wants backlinks, resource-page inclusions, or comparison mentions. Triggers: "link prospecting", "find backlink opportunities", "resource page outreach", "get backlinks for", "link building outreach".
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Three-tier video pipeline: ffmpeg Quick (5s, instant) → ffmpeg Enhanced with Ken Burns (15s, polished) → Remotion Animated (60-90s, production-grade). Takes static slides from Paper MCP or any PNGs and assembles them into platform-ready video. Make sure to use this skill whenever the user has slides, images, or PNGs and wants to turn them into video — even if they just say 'make a video from these', 'animate my slides', 'I have images and need a TikTok', or 'stitch these together'. Also use when they mention ffmpeg video assembly, Remotion-animated slide assembly, Ken Burns effects, or any slides-to-video pipeline. Owns the slides→MP4 assembly pipeline; for writing, debugging, or running `remotion render` on Remotion code itself, see /remotion-best-practices; for screen-recorded product demos, see /marketing-demo. Works with any PNG source — Paper exports, Canva, screenshots, anything.
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Orchestrator skill that chains /slideshow-script → /paper-marketing → /video-content for end-to-end TikTok slideshow production. Each phase is an independent Lego block — this orchestrator is just one recipe that combines them. Produces 5 publishable TikTok videos from a single positioning angle. Triggers on "TikTok slideshow", "TikTok video", "make TikTok", "slideshow video", "TikTok content".
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Deep-dive ONE competitor's organic footprint — exact ranking keywords and URLs, content themes, backlink profile, and exploitable gaps — with findings written into brand/competitors.md. Use this skill when the user names a competitor and wants to know what to learn from them, counter, or outrank, including head-to-head comparisons against the user's own domain. For market-level mapping first, use openseo-competitive-landscape. Triggers: "analyze competitor", "competitor keywords", "competitor backlinks", "beat <competitor>", "competitor seo teardown".
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Build applications and agents with Exa's API Platform: search, contents, answer, context, Agent API, monitors, websets, OpenAI-compatible endpoints, and exa-py / exa-js. Use when choosing Exa endpoints, writing Exa API calls, integrating semantic web search or research into products, or debugging Exa request shapes. Load references/ on demand for endpoint details.
日本語の概要は準備中です。原文の説明を表示しています。