Art & Design

Use when a jewelry / 珠宝 / 文玩 / 翡翠 / 钻石 / 黄金 / 珍珠 e-commerce merchant needs marketing material from one product photo — produces a full XHS-ready bundle (12 marketing images + 6 copywriting styles + product analysis JSON) for finished pieces, or a design suite (8 images: hand-drawn sketch + 3D render + lifestyle + CAD sheet + ...) when the input is a raw gemstone / 原石 / 散石. Auto-detects finished-product vs raw-material. Trigger phrases: 珠宝营销素材, 生成珠宝商品图, 珠宝小红书素材, 珠宝海报, 上手图, 一饰多搭, 钻石/翡翠/珍珠/玉/古法金/月光石 marketing bundle, jewelry design from raw stone, 原石设计图, 散石变成品.

review-repo fullが生成したinventoryを使い、公開Markdownリンク、Docker base imageのEOL、Azure Functions extension bundleのsupport範囲をcheck-onlyで確認する。明示された全検査や鮮度確認で使用する。

为论文框架图、流程图、机制示意图生成生图 Prompt，采用 nature-figure 的科学表达与视觉规划方法，但不执行绘图。无图时读稿生成新图提示词，有图时在保持内容的前提下生成视觉改进提示词。输出 Prompt 后必须停止等待确认；不调用 Imagegen、OpenRouter，不生成 Python/R/SVG 代码，不修改研究方法。适合与其他提示词 Skill 做同后端对比。

Search and fetch royalty-free stock photos from the Pexels API. Use when the user asks to find stock photos, seed placeholder/demo/seed images, populate a gallery, or needs real royalty-free imagery for a project (e.g. "find me 5 photos of X", "get stock images for the hero section", "seed images from Pexels").

Generate or edit product, editorial, photographic and typography images with GPT Image 2.5. Sunburst favors quality; Flare favors speed. Automatically use the other variant on rate limits.

Use when creating, modifying, or reviewing an iOS Clean Architecture presentation layer with SwiftUI/UIKit state holders, explicit UiState, UiModel mapping, dependency injection, and state-based presentation code review.

Extract, clean, join, update, verify, and deliver Excel, CSV, cloud spreadsheets, or tabular data from images through a conversation-driven agent workflow. Use when the user asks an agent to 做表格、合并表格、图片转Excel、清洗数据、更新Excel、Google Sheets、飞书表格 or WPS表格.

Use when bringing a recipe in the spark-recipes repo up on the 2-node DGX Spark cluster — starting/staging a recipe directory, tearing down the currently-serving model, rebuilding the patched image, launching worker-then-head, and confirming health. Triggers: "bring up <recipe>", "start <recipe> on the sparks", "deploy the glm/qwen/deepseek recipe", "latest recipe not running", "fresh head/worker after a model change", DFlash2/DFlash enablement.

Autonomous image-generation director. Use whenever the user asks to create, generate, render, edit, transform, restyle, translate, repair, or improve an AI image or image prompt. Converts the user's request into a precise canonical JSON image spec, validates it, adapts it to the available image-generation tool/provider, and dispatches generation automatically so the user does not need to copy JSON or prompts. Handles references, identity preservation, products, people, photorealism, illustrations, posters, UI, text-in-image, aspect ratios, camera perspective, and negative constraints.

Conduz a jornada de onboarding 'do zero ao agente de atendimento' do fazer.ai agents num VPS, escolhendo o orquestrador de deploy (Tier A Coolify, B Portainer, C compose genérico para VM crua ou qualquer painel). Provisiona DNS/SSH pelo MCP Hostinger, faz deploy de Chatwoot + fazer.ai agents + Langfuse com TLS, roda o /setup e importa o agente via MCP, pluga o Agent Bot do Chatwoot e valida ponta a ponta (playground + WhatsApp + traces no Langfuse). Também conduz a migração de uma Secretária v3 (n8n) para a V4, lendo os workflows e convertendo o agente. Use quando o usuário quiser subir/onboardar uma instância nova do fazer.ai agents num VPS, em qualquer um desses orquestradores, ou quando já rodar a Secretária v3 e quiser migrar.

Generate startup legal documents from attorney-drafted templates: NDAs, MSAs, DPAs, privacy policies, offer letters, and more. Download PDF, ODT, or Markdown through MCP or an agent skill. No account required.

Higgsfield image prompt director covering Banana Pro, Soul Cinema, and GPT-2. Three asset types in strict order: (1) single-image character outfit on white seamless studio — the locked base reference, via Banana Pro (custom styling from prompt) or Soul Cinema (face/body from character ref + outfit from wardrobe ref), (2) 6-panel multi-angle character sheet off that base, (3) scene plates with or without characters in cinematic environments. Also GPT-2 for detail face/chest-up portraits. Reads reference images for hair, makeup, wardrobe, jewelry, identity markers. Outputs photorealistic prompts with locked hyperreal stack — skin pores, subsurface scattering, strand-by-strand hair, fabric weave, Kodak Vision3 film. Use for any character outfit reference, character sheet, model sheet, ref sheet, multi-angle sheet, scene plate, environment plate, face detail shot, or photorealistic still — even without saying 'Banana Pro,' 'Nano Banana,' or 'Soul Cinema.'

Use this skill when adding a competition's problems to the site database through the bulk-import draft pipeline — registering a brand-new competition in the taxonomy if it isn't there yet, authoring the draft folder (statements + solutions + images, one original language plus translations), and running the bulk-import CLI validate until it passes. Trigger phrases — "add a new competition", "import a competition's problems into the DB", "register a competition in the taxonomy", "create a bulk-import draft", "add a round/year of a competition". Do NOT use for editing handouts (use the handout-* skills). The skill ends at `validate`; `apply` runs only on the user's explicit say-so.

MikroTik RouterOS CHR (Cloud Hosted Router) with QEMU. Use when: running RouterOS in QEMU, booting CHR images, debugging CHR boot failures, setting up VirtIO devices for RouterOS, choosing between SeaBIOS and UEFI boot, configuring QEMU port forwarding for RouterOS REST API, setting up inter-VM socket networking or host-side L2 capture of guest broadcasts (e.g. MNDP), or selecting QEMU acceleration (KVM/HVF/TCG).

Apply comment-quality criteria during implementation and the final comment-quality pass before final-review, multi-review, or architecture-review after code changes. Applies equally in Codex, Claude, and OMP for Python, Kotlin, React Web, React Native, iOS, Swift, and SwiftUI.

Generate and edit images with the OpenAI Image API (gpt-image-2, gpt-image-1, DALL·E). Use when creating marketing assets, hero images, card art, regenerating landing visuals, or when the user mentions OpenAI image generation, DALL·E, gpt-image, or image gen scripts.

Write and rewrite Turkish so it reads as native Turkish rather than translated English. Use for Turkish marketing copy, product and UI text, localization, documentation, support, legal or security prose, and reviews of AI-written Turkish. Detect translationese, copied clause structure, nominalization, wrong case and collocations, generic helper verbs, SaaS and sales calques, jargon leakage, forced slogans, and corporate abstraction.

Read, create, edit, search, convert, and organize documents and other files in the folder the user shared from their computer through Open File Bridge. Use for requests involving the user's local Word, Excel, PowerPoint, PDF, image, archive, email, text, or code files. MUST-CALL before acting: sandbox file APIs cannot reach that folder; only a successful bridge response confirms the work.

Create, revise, audit, and export submission-grade scientific figures for Nature-family and other high-impact venues in Python (matplotlib/seaborn) or R (ggplot2/patchwork/ComplexHeatmap), including multi-panel plots, figures4papers-style work, and journal-ready SVG/PDF/TIFF outputs. Use for paper or scientific plots, manuscript data visualization, 论文配图、学术写作配图、科研绘图、科研作图、画图、作图、出图、论文图表、可视化. Define the conclusion, evidence logic, data integrity, template compatibility, export needs, and reviewer risks before plotting; honor or persist the Python/R backend choice. Also use the separate OpenRouter GPT Image 2 route for explicit AI-generated graphical abstracts, mechanism diagrams, concept schematics, 论文示意图、机制示意图、图形摘要; this route skips backend choice and treats outputs as drafts. Do not use for interactive dashboards, statistics-only analysis, data cleaning, literature review, code debugging, pure photo editing, or Illustrator/Figma-first infographics without manuscript-figure intent.

Use when reviewing a recipe in the spark-recipes repo against its upstream sources for updates, fixes, or improvements — checking the NVIDIA forum, the recipe's upstream GitHub repo(s) and sibling repos, HF model/image revisions, and other sources — then starting an update branch, committing, and pushing. Triggers: "review recipe <name> for updates", "check <recipe> upstream", "is there a new fix for <model>", "update <recipe> from upstream", "latest commits for <recipe>". Does NOT bring the recipe up on the sparks (that is bring-up-spark-recipe).

AI image generation for paid ad creatives. Reads campaign-brief.md and brand-profile.json to produce platform-sized ad images using banana-claude. Requires banana-claude (v1.4.1+) with nanobanana-mcp configured. Triggers on: generate ads, create images, make ad creatives, generate visuals, create ad images, generate campaign images, make the images, generate from brief.

Use this skill whenever the user needs to operate a single container host through the Docker Engine API, Portainer, or Podman — a one-shot host overview; container reads (list/inspect, logs tail, CPU/memory stats, top processes, restart summary); image reads (list, inspect with history, dangling, disk usage); volume reads (list, inspect, dangling); network reads (list, inspect); system reads (info, version, df disk-usage, recent events); Portainer stacks + endpoints; Compose-project rollups (list_compose_stacks, docker+podman); Podman pods (list_pods, podman-only); three flagship analyses — restart-loop RCA (crash-looping containers + cause/action), resource-pressure analysis (CPU/memory vs limits), and image & volume bloat (prune candidates + reclaimable bytes); and eight guarded writes (restart/stop/start/remove a container, prune images/volumes, update resource limits, recreate a Portainer stack). Always use this skill for "Docker host overview", "which containers are crash-looping", "restart loop", "why d

Use when an image needs text extraction via OCR.

Engineer and operate containerized environments. Use for Podman/Docker, images, compose, volumes, networking, health checks, startup, recovery and deployment automation.