← Creative ClawCONTENT HISTORY

Update to Creative Claw

Snapshot Oct 3, 2026 · 06:03 UTC · version 5.3.0

Collection source: downloaded plugin package. These snapshots do not have a confirmed matching collection source. Differences in file lists alone do not establish changes to the package.

WHAT CHANGED · RULE-BASED ANALYSIS

Instructions updated for creativeclaw-product-photoshoot

Added instruction text: “For video, save a neutral packshot and a label/logo close-up as named anchors. Generate video keyframes at the video's ratio, not the campaign ratio.”.

Observed in instructions or declared skills. Runtime behavior has not been tested.

Skill instructions

Before

No removed lines (ordering may have changed)

After

For video, save a neutral packshot and a label/logo close-up as named anchors. Generate video keyframes at the video's ratio, not the campaign ratio.

Supporting files

Before

[{"relative_path":"agents/openai.yaml","size_in_bytes":543},{"relative_path":"references/images/gpt-image-2.md","size_in_bytes":10996},{"relative_path":"references/images/index.md","size_in_bytes":456},{"relative_path":"references/images...

After

[{"relative_path":"agents/openai.yaml","size_in_bytes":543},{"relative_path":"references/images/gpt-image-2.md","size_in_bytes":11212},{"relative_path":"references/images/index.md","size_in_bytes":456},{"relative_path":"references/images...

Compare saved observations

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Full technical diff · 2 changed fields

changed /included_files

BEFORE
[
  {
    "relative_path": "agents/openai.yaml",
    "size_in_bytes": 543
  },
  {
    "relative_path": "references/images/gpt-image-2.md",
    "size_in_bytes": 10996
  },
  {
    "relative_path": "references/images/index.md",
    "size_in_bytes": 456
  },
  {
    "relative_path": "references/images/nano-banana-2.md",
    "size_in_bytes": 8817
  },
  {
    "relative_path": "references/images/nano-banana-pro.md",
    "size_in_bytes": 8779
  },
  {
    "relative_path": "references/images/seedream-5-pro.md",
    "size_in_bytes": 9556
  },
  {
    "relative_path": "references/job-recovery.md",
    "size_in_bytes": 3786
  },
  {
    "relative_path": "references/media-assembly.md",
    "size_in_bytes": 3876
  },
  {
    "relative_path": "references/platform-upload.md",
    "size_in_bytes": 1416
  },
  {
    "relative_path": "references/workflow-basics.md",
    "size_in_bytes": 7159
  }
]
AFTER
[
  {
    "relative_path": "agents/openai.yaml",
    "size_in_bytes": 543
  },
  {
    "relative_path": "references/images/gpt-image-2.md",
    "size_in_bytes": 11212
  },
  {
    "relative_path": "references/images/index.md",
    "size_in_bytes": 456
  },
  {
    "relative_path": "references/images/nano-banana-2.md",
    "size_in_bytes": 8855
  },
  {
    "relative_path": "references/images/nano-banana-pro.md",
    "size_in_bytes": 8824
  },
  {
    "relative_path": "references/images/seedream-5-pro.md",
    "size_in_bytes": 9556
  },
  {
    "relative_path": "references/job-recovery.md",
    "size_in_bytes": 3786
  },
  {
    "relative_path": "references/media-assembly.md",
    "size_in_bytes": 8654
  },
  {
    "relative_path": "references/platform-upload.md",
    "size_in_bytes": 1416
  },
  {
    "relative_path": "references/workflow-basics.md",
    "size_in_bytes": 7260
  }
]

changed /skill_md_contents

BEFORE
"---\nname: creativeclaw-product-photoshoot\ndescription: \"Create a coherent set of campaign-ready product images with Creative Claw. Use for packshots, ecommerce sets, lifestyle scenes, launch campaigns, or several images that must preserve the same product and brand.\"\n---\n\n# Product Photoshoot\n\nRead [shared execution guidance](references/workflow-basics.md) once per task before using tools. It covers existing authorization, model discovery, optional cost checks, imports, and recovery.\n\nProduce a consistent image set, not a collection of unrelated prompts. The product's geometry, label, color, materials, and brand treatment are the locked anchors.\n\n## Prepare\n\n1. Confirm the channel, audience, aspect ratios, number of deliverables, background requirements, required copy, and product details that must be exact.\n2. Use `search_assets` to find existing product references, logos, and campaign assets. Import missing references with the platform upload flow.\n3. Call `get_theme` for branded work and identify the usable palette, typography, tone, and logo rules.\n4. Write a compact shot list, such as hero, clean packshot, detail macro, in-use lifestyle, scale/context, and campaign variation. Include only shots the user needs.\n\nConduct the workflow in the user's language and preserve all approved product and campaign copy exactly.\n\n## Generate\n\n1. Default to `image/nano-banana-2` because it is the cost-efficient recommendation for most product work.\n2. Escalate to `image/nano-banana-pro`, `image/gpt-image-2.5-sunburst`, or `image/seedream-5-pro` only when exact typography, difficult editing, or premium commercial styling materially benefits.\n3. Discover with `list_models({ category: \"image\" })` only when selecting a model; fetch missing settings with `get_model_params` and reuse them across the set. Estimate planned images only when the user asks about cost or sets a budget.\n4. Establish a hero direction, reusing an approved reference when supplied. Follow requested review stages; if the user authorizes the complete set, continue without asking for each shot. Repeat locked product facts and use the selected hero as a reference where supported.\n5. Preserve exact quoted copy, reference labels, dialogue, timecodes, colors, and approved layout or edit constraints in the prompt.\n\n## Quality control\n\nCompare every image against the source product for silhouette, proportions, cap or closure, logo, label text, materials, colors, and reflections. Also check shadows, contact with surfaces, crop safety, and consistency across the set. Reject attractive images that misrepresent the product.\n\nTag approved assets consistently with product, campaign, shot type, aspect ratio, and status so video and UGC workflows can reuse them.\n"
AFTER
"---\nname: creativeclaw-product-photoshoot\ndescription: \"Create a coherent set of campaign-ready product images with Creative Claw. Use for packshots, ecommerce sets, lifestyle scenes, launch campaigns, or several images that must preserve the same product and brand.\"\n---\n\n# Product Photoshoot\n\nRead [shared execution guidance](references/workflow-basics.md) once per task before using tools. It covers existing authorization, model discovery, optional cost checks, imports, and recovery.\n\nProduce a consistent image set, not a collection of unrelated prompts. The product's geometry, label, color, materials, and brand treatment are the locked anchors.\n\n## Prepare\n\n1. Confirm the channel, audience, aspect ratios, number of deliverables, background requirements, required copy, and product details that must be exact.\n2. Use `search_assets` to find existing product references, logos, and campaign assets. Import missing references with the platform upload flow.\n3. Call `get_theme` for branded work and identify the usable palette, typography, tone, and logo rules.\n4. Write a compact shot list, such as hero, clean packshot, detail macro, in-use lifestyle, scale/context, and campaign variation. Include only shots the user needs.\n\nConduct the workflow in the user's language and preserve all approved product and campaign copy exactly.\n\n## Generate\n\n1. Default to `image/nano-banana-2` because it is the cost-efficient recommendation for most product work.\n2. Escalate to `image/nano-banana-pro`, `image/gpt-image-2.5-sunburst`, or `image/seedream-5-pro` only when exact typography, difficult editing, or premium commercial styling materially benefits.\n3. Discover with `list_models({ category: \"image\" })` only when selecting a model; fetch missing settings with `get_model_params` and reuse them across the set. Estimate planned images only when the user asks about cost or sets a budget.\n4. Establish a hero direction, reusing an approved reference when supplied. Follow requested review stages; if the user authorizes the complete set, continue without asking for each shot. Repeat locked product facts and use the selected hero as a reference where supported.\n5. Preserve exact quoted copy, reference labels, dialogue, timecodes, colors, and approved layout or edit constraints in the prompt.\n\n## Quality control\n\nCompare every image against the source product for silhouette, proportions, cap or closure, logo, label text, materials, colors, and reflections. Also check shadows, contact with surfaces, crop safety, and consistency across the set. Reject attractive images that misrepresent the product.\n\nTag approved assets consistently with product, campaign, shot type, aspect ratio, and status so video and UGC workflows can reuse them.\n\nFor video, save a neutral packshot and a label/logo close-up as named anchors. Generate video keyframes at the video's ratio, not the campaign ratio.\n"

SKILL.md line diff

--- before
+++ after
@@ -31,3 +31,5 @@
 Compare every image against the source product for silhouette, proportions, cap or closure, logo, label text, materials, colors, and reflections. Also check shadows, contact with surfaces, crop safety, and consistency across the set. Reject attractive images that misrepresent the product.
 
 Tag approved assets consistently with product, campaign, shot type, aspect ratio, and status so video and UGC workflows can reuse them.
+
+For video, save a neutral packshot and a label/logo close-up as named anchors. Generate video keyframes at the video's ratio, not the campaign ratio.
Full snapshot data
{
  "description": "Create a coherent set of campaign-ready product images with Creative Claw. Use for packshots, ecommerce sets, lifestyle scenes, launch campaigns, or several images that must preserve the same product and brand.",
  "included_files": [
    {
      "relative_path": "agents/openai.yaml",
      "size_in_bytes": 543
    },
    {
      "relative_path": "references/images/gpt-image-2.md",
      "size_in_bytes": 11212
    },
    {
      "relative_path": "references/images/index.md",
      "size_in_bytes": 456
    },
    {
      "relative_path": "references/images/nano-banana-2.md",
      "size_in_bytes": 8855
    },
    {
      "relative_path": "references/images/nano-banana-pro.md",
      "size_in_bytes": 8824
    },
    {
      "relative_path": "references/images/seedream-5-pro.md",
      "size_in_bytes": 9556
    },
    {
      "relative_path": "references/job-recovery.md",
      "size_in_bytes": 3786
    },
    {
      "relative_path": "references/media-assembly.md",
      "size_in_bytes": 8654
    },
    {
      "relative_path": "references/platform-upload.md",
      "size_in_bytes": 1416
    },
    {
      "relative_path": "references/workflow-basics.md",
      "size_in_bytes": 7260
    }
  ],
  "name": "creativeclaw-product-photoshoot",
  "skill_md_contents": "---\nname: creativeclaw-product-photoshoot\ndescription: \"Create a coherent set of campaign-ready product images with Creative Claw. Use for packshots, ecommerce sets, lifestyle scenes, launch campaigns, or several images that must preserve the same product and brand.\"\n---\n\n# Product Photoshoot\n\nRead [shared execution guidance](references/workflow-basics.md) once per task before using tools. It covers existing authorization, model discovery, optional cost checks, imports, and recovery.\n\nProduce a consistent image set, not a collection of unrelated prompts. The product's geometry, label, color, materials, and brand treatment are the locked anchors.\n\n## Prepare\n\n1. Confirm the channel, audience, aspect ratios, number of deliverables, background requirements, required copy, and product details that must be exact.\n2. Use `search_assets` to find existing product references, logos, and campaign assets. Import missing references with the platform upload flow.\n3. Call `get_theme` for branded work and identify the usable palette, typography, tone, and logo rules.\n4. Write a compact shot list, such as hero, clean packshot, detail macro, in-use lifestyle, scale/context, and campaign variation. Include only shots the user needs.\n\nConduct the workflow in the user's language and preserve all approved product and campaign copy exactly.\n\n## Generate\n\n1. Default to `image/nano-banana-2` because it is the cost-efficient recommendation for most product work.\n2. Escalate to `image/nano-banana-pro`, `image/gpt-image-2.5-sunburst`, or `image/seedream-5-pro` only when exact typography, difficult editing, or premium commercial styling materially benefits.\n3. Discover with `list_models({ category: \"image\" })` only when selecting a model; fetch missing settings with `get_model_params` and reuse them across the set. Estimate planned images only when the user asks about cost or sets a budget.\n4. Establish a hero direction, reusing an approved reference when supplied. Follow requested review stages; if the user authorizes the complete set, continue without asking for each shot. Repeat locked product facts and use the selected hero as a reference where supported.\n5. Preserve exact quoted copy, reference labels, dialogue, timecodes, colors, and approved layout or edit constraints in the prompt.\n\n## Quality control\n\nCompare every image against the source product for silhouette, proportions, cap or closure, logo, label text, materials, colors, and reflections. Also check shadows, contact with surfaces, crop safety, and consistency across the set. Reject attractive images that misrepresent the product.\n\nTag approved assets consistently with product, campaign, shot type, aspect ratio, and status so video and UGC workflows can reuse them.\n\nFor video, save a neutral packshot and a label/logo close-up as named anchors. Generate video keyframes at the video's ratio, not the campaign ratio.\n"
}

SHA-256 of public snapshot: 608460159112c8f39d62a22950e5a6eeae287d6e005cea23da36515127d82f85