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The single entry point for any professional bra...\n\nTags: latest:1.0.0\n\nVersion history:\n\nv1.0.0 | 2026-05-04T16:21:16.028Z | user\n\nInitial release of Higgsfield Product Photoshoot skill.\n\n- Provides a CLI tool to generate brand-quality product images using mode-specific prompt enhancements.\n- Supports multiple generation modes, including studio, lifestyle, Pinterest pin, hero banner, carousel, ad packs, virtual try-on, conceptual, and restyle.\n- Includes an interactive pre-generation interview with concise, labeled questions to refine outputs.\n- Delivers only image URLs as output, with silent polling until results are ready.\n- Not intended for unbranded text-to-image, marketing videos, or Soul Character training.\n\nArchive index:\n\nArchive v1.0.0: 3 files, 5637 bytes\n\nFiles: skill-card.md (2041b), SKILL.md (9513b), _meta.json (148b)\n\nFile v1.0.0:SKILL.md\n\n---\nversion: 0.3.0\nname: higgsfield-product-photoshoot\ndescription: |\n  Generate brand-quality product images via mode-specific prompt\n  enhancement on Higgsfield's gpt_image_2 model. The single entry\n  point for any professional brand visual involving a product.\n  Use when: \"make a product photo\", \"studio shot\", \"lifestyle photo\",\n  \"in use\", \"Pinterest pin\", \"hero banner\", \"website header\",\n  \"carousel\", \"Meta ads\", \"ad creatives\", \"model wearing\",\n  \"virtual try-on\", \"person holding product\", \"closeup with hands\",\n  \"levitating product\", \"floating\", \"splash shot\", \"CGI style\",\n  \"surreal product\", \"restyle\", \"Christmas version\",\n  \"in [aesthetic] style\", or any request involving a product, brand,\n  or paid social creative.\n  Modes: product_shot, lifestyle_scene, closeup_product_with_person,\n  pinterest_pin, hero_banner, social_carousel, ad_creative_pack,\n  virtual_model_tryout, conceptual_product, restyle.\n  Backend assembles the final prompt — never write gpt_image_2\n  prompts freehand. Always go through this skill.\n  NOT for: raw text-to-image with no brand/product (use\n  higgsfield-generate), branded marketing video with avatars (use\n  higgsfield-generate's Marketing Studio), Soul Character training\n  (use higgsfield-soul-id).\nargument-hint: \"[--mode <mode>] [--count N] [prompt]\"\nallowed-tools: Bash\n---\n\n# Product Photoshoot\n\nBrand-image generation via the `higgsfield product-photoshoot create` command. The CLI calls a backend prompt enhancer that holds mode-specific photography vocabulary and structural templates, then submits to `gpt_image_2` and returns image URLs.\n\n## Step 0 — Bootstrap\n\nBefore any other command:\n\n1. If `higgsfield` is not on `$PATH`, install it:\n   ```bash\n   curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh\n   ```\n2. If `higgsfield account status` fails with `Session expired` / `Not authenticated`, ask the user to run `higgsfield auth login` (interactive) and wait for confirmation.\n\n## UX Rules\n\n1. Be concise. Print only image URLs in the final reply.\n2. Detect language, respond in it. Mode names and CLI flags stay English.\n3. Ask at most 4 short questions before submitting. Use labeled options, never open-ended.\n4. Skip questions whose answer is obvious from context (uploaded image, prior turn, brand memory).\n5. Never write the gpt_image_2 prompt yourself — backend assembles it.\n6. Polling is silent. Wait until URLs are ready, then deliver.\n\n## Modes\n\n| Mode | When user wants… |\n|---|---|\n| `product_shot` | Product on neutral / studio / catalog background |\n| `lifestyle_scene` | Product in real-world environment, hands, action, atmosphere |\n| `closeup_product_with_person` | Tight crop with hands / partial face — beauty application, holding, demonstrating |\n| `pinterest_pin` | Vertical 2:3 Pinterest-native aesthetic, moodboard feel |\n| `hero_banner` | Wide-format website / email / campaign header |\n| `social_carousel` | 3–10 connected slides for IG / LinkedIn / Facebook |\n| `ad_creative_pack` | Coordinated pack of static ad variants for Meta / TikTok / Pinterest / Google Ads |\n| `virtual_model_tryout` | Product worn or used by an AI-rendered model |\n| `conceptual_product` | Surreal / CGI-style / levitating / splash / sculptural product |\n| `restyle` | Transform an existing image's aesthetic, mood, or seasonal context |\n\n## Mode selection\n\nPick by intent, not surface keyword. When two modes could apply, prefer the more specific one.\n\n- product + neutral / clean / white / studio / catalog / Shopify → `product_shot`\n- product + scene / in use / kitchen / outdoor / cafe / gym → `lifestyle_scene`\n- hands holding / face with product / beauty application / demonstrating → `closeup_product_with_person`\n- Pinterest, pin, vertical pin → `pinterest_pin`\n- hero, banner, website header, landing page, email header, wide format → `hero_banner`\n- carousel, slide post, multi-slide, swipeable → `social_carousel`\n- ads, ad pack, paid social, Meta / TikTok / Pinterest ads → `ad_creative_pack`\n- model wearing, virtual try-on, on body, fashion shoot, lookbook → `virtual_model_tryout`\n- levitating, floating, splash, frozen motion, surreal, CGI, sculptural → `conceptual_product`\n- modify EXISTING image's aesthetic, mood, season — without changing subject → `restyle`\n\nTie-breakers:\n- \"Pinterest pin of my product on a kitchen counter\" → `pinterest_pin` (Pinterest is the platform)\n- \"Hero banner showing my product in use\" → `hero_banner` (banner format wins)\n- \"Carousel of my product in different scenes\" → `social_carousel` (multi-slide wins)\n- \"Closeup of person applying my serum\" → `closeup_product_with_person` (specific genre wins)\n\n## Pre-generation interview\n\nAsk 3–4 short questions before submitting. Always labeled options, never open-ended. Skip a question whose answer is obvious from context.\n\n### Type A — uploaded a product photo, \"make me images / photoshoots\"\n\n1. How many? `[1 / 3 / 5]`\n2. What style/mood? `[Clean studio / Lifestyle / Conceptual / With a model / Other]`\n3. Where will you use them? `[Shopify / Instagram / Pinterest / Paid ads / Website hero]`\n4. Brand colors to match? (skip if obvious)\n\n### Type B — uploaded a product photo, named a use case\n\nE.g. \"make ads for my product\", \"make a Pinterest pin\", \"make a hero banner\". Mode is obvious. Ask only the gaps:\n\n1. How many? (if multi-output mode)\n2. What's the offer / mood / hook?\n3. Anything in particular to emphasize?\n\n### Type C — text only, no product photo\n\n1. Can you upload a product photo? (preferred — much higher fidelity)\n2. If not, describe the product — category, packaging, color, distinctive features.\n3. What style? (same options as Type A)\n4. Where will you use it?\n\n### Type D — uploaded existing image, \"redo / change vibe / different version\"\n\n→ `restyle`\n\n1. What aesthetic? `[Clean girl / Cottagecore / Quiet luxury / Dark academia / Y2K / Other]`\n2. Seasonal context? `[Christmas / Valentine's / Halloween / Black Friday / None]`\n3. What to preserve, what to change? (only if ambiguous)\n\n### Type E — model wearing a product (fashion, accessories)\n\n→ `virtual_model_tryout`\n\n1. Model archetype? (suggest 2–3 based on brand audience)\n2. Environment? `[Studio clean / Outdoor natural / Street style / Editorial / Home cozy]`\n3. Framing? `[Full body / Three-quarter / Waist up / Closeup on product area]`\n\n### Type F — vague request, unclear subject\n\nE.g. \"make me something cool for my brand\".\n\n1. What product or topic?\n2. Goal? `[Sell on a marketplace / Build awareness / Run paid ads / Update website]`\n3. Upload a reference image?\n\nAfter answers → return to the relevant Type A–E.\n\n## Generation\n\nSingle command. Backend assembles the final prompt and submits to `gpt_image_2`. URLs print on stdout.\n\n```bash\nhiggsfield product-photoshoot create \\\n  --mode <mode> \\\n  --prompt \"<short user-intent description from interview answers>\" \\\n  [--image <path-or-upload-id>]... \\\n  [--count <1-10>] \\\n  [--aspect_ratio <override>]\n```\n\nExamples:\n\n```bash\nhiggsfield product-photoshoot create \\\n  --mode lifestyle_scene \\\n  --prompt \"bottle of cold-brew on a sunlit kitchen counter, IG feed\" \\\n  --image bottle.jpg \\\n  --count 3\n```\n\n```bash\nhiggsfield product-photoshoot create \\\n  --mode pinterest_pin \\\n  --prompt \"vertical pin for my candle brand, cottagecore mood\" \\\n  --image candle.jpg\n```\n\n```bash\nhiggsfield product-photoshoot create \\\n  --mode restyle \\\n  --prompt \"Christmas version, quiet-luxury aesthetic\" \\\n  --image existing-shot.jpg\n```\n\n## Image inputs\n\n`--image` accepts a local file path (auto-uploaded) OR an existing upload UUID. Repeat the flag for multiple references.\n\n## Multi-variant\n\n`--count 3` returns 3 distinct image URLs. Backend asks the enhancer to vary preset, lighting, angle, and palette across variants — they will not be paraphrased copies of one another.\n\nFor `social_carousel` and `ad_creative_pack`, count = number of slides / variants in the pack. Backend locks the visual system across all slides automatically.\n\n## Aspect ratio\n\nBackend picks a sensible default per mode. Override with `--aspect_ratio` only if the user explicitly asks for a different one. Allowed values: `1:1`, `4:5`, `5:4`, `3:4`, `4:3`, `2:3`, `3:2`, `9:16`, `16:9`.\n\n## Delivering results\n\nPrint the image URLs as a short bulleted list. No JSON, no IDs, no internal model names, no enhanced prompt text. If a job failed, mention it briefly with the failure status.\n\n```\n3 lifestyle shots ready:\n- https://cdn.higgsfield.ai/.../job_abc.jpg\n- https://cdn.higgsfield.ai/.../job_def.jpg\n- https://cdn.higgsfield.ai/.../job_ghi.jpg\n```\n\n## What this skill does NOT do\n\n- Does not write gpt_image_2 prompts directly. Backend owns prompt assembly.\n- Does not auto-pick a different image-gen model. Always `gpt_image_2`.\n- Does not replace `higgsfield-generate` Marketing Studio for branded video / avatar workflows.\n- Does not replace `higgsfield-generate` for raw text-to-image without a product or brand context.\n\n## Common mistakes to avoid\n\n- Asking more than 4 interview questions in a single message.\n- Picking the wrong mode (e.g. `product_shot` when the user wants a Pinterest pin).\n- Calling `higgsfield generate create gpt_image_2 --prompt ...` directly instead of `higgsfield product-photoshoot create` — bypasses the prompt enhancer and produces noticeably worse output.\n- Pasting the assembled prompt back to the user — they want the URLs.\n- Using a `--mode` value not in the table above.\n\nFile v1.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn75nbcv2e6k6p0qdc2tkn0dvn862nys\",\n  \"slug\": \"higgsfield-product-photoshoot\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1777911676028\n}\n\nFile v1.0.0:skill-card.md\n\n## Description:\n\nGenerates brand-quality product photos and paid-social visuals through the Higgsfield CLI with mode-specific prompt enhancement and image URL delivery.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[higgsfield](https://clawhub.ai/user/higgsfield)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal brand, ecommerce, and marketing teams use this skill to turn product photos or product descriptions into studio, lifestyle, banner, carousel, ad, virtual try-on, conceptual, or restyled visual outputs.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The bootstrap step may execute an unverified live GitHub installer before other skill actions.\n\nMitigation: Prefer installing the Higgsfield CLI from a pinned or verified release and review what the installer changes before use.\n\nRisk: Local product images passed with --image are uploaded to Higgsfield for generation.\n\nMitigation: Use only product images approved for upload to Higgsfield and avoid sensitive, private, or unreleased assets unless that processing is authorized.\n\n## Reference(s):\n\n- [ClawHub skill listing](https://clawhub.ai/higgsfield/skills/higgsfield-product-photoshoot)\n- [Higgsfield CLI installer](https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh)\n\n## Skill Output:\n\n**Output Type(s):** [Text, Shell commands]\n\n**Output Format:** [Markdown list of generated image URLs]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Final responses are expected to contain only generated image URLs; local product images supplied with --image may be uploaded to Higgsfield for generation.]\n\n## Skill Version(s):\n\n1.0.0 (source: server release metadata; artifact frontmatter declares 0.3.0)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.","readmeExcerpt":"Skill: Higgsfield Product Photoshoot Owner: higgsfield Summary: Generate brand-quality product images via mode-specific prompt enhancement on Higgsfield's gpt_image_2 model. The single entry point for any professional bra... Tags: latest:1.0.0 Version history: v1.0.0 | 2026-05-04T16:21:16.028Z | user Initial release of Higgsfield Product Photoshoot skill. - Provides a CLI tool to generate brand-quality product images","codeSnippets":[],"executableExamples":[{"language":"bash","snippet":"curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh"},{"language":"bash","snippet":"curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh"},{"language":"bash","snippet":"higgsfield product-photoshoot create \\\n  --mode <mode> \\\n  --prompt \"<short user-intent description from interview answers>\" \\\n  [--image <path-or-upload-id>]... \\\n  [--count <1-10>] \\\n  [--aspect_ratio <override>]"},{"language":"bash","snippet":"higgsfield product-photoshoot create \\\n  --mode lifestyle_scene \\\n  --prompt \"bottle of cold-brew on a sunlit kitchen counter, IG feed\" \\\n  --image bottle.jpg \\\n  --count 3"},{"language":"bash","snippet":"higgsfield product-photoshoot create \\\n  --mode pinterest_pin \\\n  --prompt \"vertical pin for my candle brand, cottagecore mood\" \\\n  --image candle.jpg"},{"language":"bash","snippet":"higgsfield product-photoshoot create \\\n  --mode restyle \\\n  --prompt \"Christmas version, quiet-luxury aesthetic\" \\\n  --image existing-shot.jpg"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nversion: 0.3.0\nname: higgsfield-product-photoshoot\ndescription: |\n  Generate brand-quality product images via mode-specific prompt\n  enhancement on Higgsfield's gpt_image_2 model. The single entry\n  point for any professional brand visual involving a product.\n  Use when: \"make a product photo\", \"studio shot\", \"lifestyle photo\",\n  \"in use\", \"Pinterest pin\", \"hero banner\", \"website header\",\n  \"carousel\", \"Meta ads\", \"ad creatives\", \"model wearing\",\n  \"virtual try-on\", \"person holding product\", \"closeup with hands\",\n  \"levitating product\", \"floating\", \"splash shot\", \"CGI style\",\n  \"surreal product\", \"restyle\", \"Christmas version\",\n  \"in [aesthetic] style\", or any request involving a product, brand,\n  or paid social creative.\n  Modes: product_shot, lifestyle_scene, closeup_product_with_person,\n  pinterest_pin, hero_banner, social_carousel, ad_creative_pack,\n  virtual_model_tryout, conceptual_product, restyle.\n  Backend assembles the final prompt — never write gpt_image_2\n  prompts freehand. Always go through this skill.\n  NOT for: raw text-to-image with no brand/product (use\n  higgsfield-generate), branded marketing video with avatars (use\n  higgsfield-generate's Marketing Studio), Soul Character training\n  (use higgsfield-soul-id).\nargument-hint: \"[--mode <mode>] [--count N] [prompt]\"\nallowed-tools: Bash\n---\n\n# Product Photoshoot\n\nBrand-image generation via the `higgsfield product-photoshoot create` command. The CLI calls a backend prompt enhancer that holds mode-specific photography vocabulary and structural templates, then submits to `gpt_image_2` and returns image URLs.\n\n## Step 0 — Bootstrap\n\nBefore any other command:\n\n1. If `higgsfield` is not on `$PATH`, install it:\n   ```bash\n   curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh\n   ```\n2. If `higgsfield account status` fails with `Session expired` / `Not authenticated`, ask the user to run `higgsfield auth login` (interactive) and wait for confirmation.\n\n## UX Rules\n\n1. Be concise. Print only image URLs in the final reply.\n2. Detect language, respond in it. Mode names and CLI flags stay English.\n3. Ask at most 4 short questions before submitting. Use labeled options, never open-ended.\n4. Skip questions whose answer is obvious from context (uploaded image, prior turn, brand memory).\n5. Never write the gpt_image_2 prompt yourself — backend assembles it.\n6. Polling is silent. Wait until URLs are ready, then deliver.\n\n## Modes\n\n| Mode | When user wants… |\n|---|---|\n| `product_shot` | Product on neutral / studio / catalog background |\n| `lifestyle_scene` | Product in real-world environment, hands, action, atmosphere |\n| `closeup_product_with_person` | Tight crop with hands / partial face — beauty application, holding, demonstrating |\n| `pinterest_pin` | Vertical 2:3 Pinterest-native aesthetic, moodboard feel |\n| `hero_banner` | Wide-format website / email / campaign header |\n| `social_carousel` | 3–10 connected slides for IG / LinkedIn / Facebook |\n| `ad_creati"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn75nbcv2e6k6p0qdc2tkn0dvn862nys\",\n  \"slug\": \"higgsfield-product-photoshoot\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1777911676028\n}"},{"path":"skill-card.md","content":"## Description:\n\nGenerates brand-quality product photos and paid-social visuals through the Higgsfield CLI with mode-specific prompt enhancement and image URL delivery.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[higgsfield](https://clawhub.ai/user/higgsfield)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal brand, ecommerce, and marketing teams use this skill to turn product photos or product descriptions into studio, lifestyle, banner, carousel, ad, virtual try-on, conceptual, or restyled visual outputs.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The bootstrap step may execute an unverified live GitHub installer before other skill actions.\n\nMitigation: Prefer installing the Higgsfield CLI from a pinned or verified release and review what the installer changes before use.\n\nRisk: Local product images passed with --image are uploaded to Higgsfield for generation.\n\nMitigation: Use only product images approved for upload to Higgsfield and avoid sensitive, private, or unreleased assets unless that processing is authorized.\n\n## Reference(s):\n\n- [ClawHub skill listing](https://clawhub.ai/higgsfield/skills/higgsfield-product-photoshoot)\n- [Higgsfield CLI installer](https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh)\n\n## Skill Output:\n\n**Output Type(s):** [Text, Shell commands]\n\n**Output Format:** [Markdown list of generated image URLs]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Final responses are expected to contain only generated image URLs; local product images supplied with --image may be uploaded to Higgsfield for generation.]\n\n## Skill Version(s):\n\n1.0.0 (source: server release metadata; artifact frontmatter declares 0.3.0)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment."}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"Generate brand-quality product images via mode-specific prompt enhancement on Higgsfield's gpt_image_2 model. The single entry point for any professional bra... Skill: Higgsfield Product Photoshoot Owner: higgsfield Summary: Generate brand-quality product images via mode-specific prompt enhancement on Higgsfield's gpt_image_2 model. The single entry point for any professional bra... Tags: latest:1.0.0 Version history: v1.0.0 | 2026-05-04T16:21:16.028Z | user Initial release of Higgsfield Product Photoshoot skill. - Provides a CLI tool to generate brand-quality product images","editorialQuality":{"score":100,"threshold":65,"status":"ready","wordCount":1107,"uniquenessScore":52,"reasons":[]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-10-11T06:59:06.280Z","emptyReason":"No screenshots, media assets, or demo links are available."},"primaryImageUrl":null,"mediaAssetCount":0,"assets":[],"demoUrl":null},"ownerResources":{"evidence":{"source":"unclaimed","verified":false,"confidence":"low","updatedAt":"2026-10-11T06:59:06.280Z","emptyReason":"This page has not been claimed by the agent owner."},"hasCustomPage":false,"customPageUpdatedAt":null,"customLinks":[],"structuredLinks":{"docsUrl":null,"demoUrl":null,"supportUrl":null,"pricingUrl":null,"statusUrl":null},"customPage":null},"relatedAgents":{"evidence":{"source":"protocol-neighbors","verified":false,"confidence":"medium","updatedAt":"2026-10-11T10:54:20.821Z","emptyReason":null},"items":[{"id":"8ebccd8e-3863-4187-8355-c3f14e1f9edf","entityType":"agent","canonicalPath":"/agent/iofficeai-aionui","slug":"iofficeai-aionui","name":"AionUi","description":"Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!","url":"https://github.com/iOfficeAI/AionUi","homepage":"https://www.aionui.com","source":"GITHUB_REPOS","protocols":["MCP","OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-10-09T19:11:12.944Z","createdAt":"2026-02-25T03:38:16.584Z","downloads":null},{"id":"b917f68a-ebff-438e-84f8-3f4b2494c0bc","entityType":"agent","canonicalPath":"/agent/activepieces-activepieces","slug":"activepieces-activepieces","name":"activepieces","description":"AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents","url":"https://github.com/activepieces/activepieces","homepage":"https://www.activepieces.com","source":"GITHUB_REPOS","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-04-15T02:22:12.426Z","createdAt":"2026-02-25T03:38:12.412Z","downloads":null},{"id":"5cb26759-3a39-483f-94cf-276a98c13bb8","entityType":"agent","canonicalPath":"/agent/cherryhq-cherry-studio","slug":"cherryhq-cherry-studio","name":"cherry-studio","description":"AI productivity studio with smart chat, autonomous agents, and 300+ assistants. 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