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thoitiettxl-cyberthoitiettxl-cyber/Claw-II/skills/image-generation/SKILL.md

image-generation

Skill2 starsChanged 7 months agoMITView on GitHub

Build structured image-generation prompts, handle optional reference-image inputs, and optionally invoke an imported helper that calls the configured cliproxy image API path. Use when the user explicitly wants a generated image concept, prompt package, or image artifact.

63 other projects use a version of this.

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Projects with it also use gift-evaluator, Podcast Generate and 10 more.

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Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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The file

We split this skill into the rules it gives an agent

6 rules. 0 are common, 6 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 54 edited versions we read keep these.

  • 6

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    If execution would upload prompt/reference content to an external API, obtain approval first.

    line 64
  2. Distinctive:

    If approved and prerequisites exist, invoke the helper.

    line 72
  3. Distinctive:

    ask for the minimum missing details or provide a bounded default prompt draft with assumptions labeled.

    line 78
  4. Distinctive:

    stop at prompt-package output.

    line 82
  5. Distinctive:

    no fabricated generated artifact

    line 92
  6. Distinctive:

    no silent external upload

    line 93

“Common” is measured: kept by at least 6 in 10 of the 54 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Image Generation

Indexed Reference Map

  • @[SKILL.md#L1-L93] Frontmatter, scope, KB notes, trigger rules, SOP, error handling, output contract.
  • @[references/INDEX.md#L1-L11] Reading order and file map.
  • @[references/QUICK_REFERENCE.md#L1-L20] Trigger boundary, approval split, and stop conditions.
  • @[references/CORE_API.md#L1-L43] Prompt package contract, helper/API behavior, and privacy boundary.
  • @[references/PATTERNS.md#L1-L16] Prompt-shaping and reference-image handling patterns.
  • @[references/EXAMPLES.md#L1-L15] Representative generation requests and handling.
  • @[references/AI_WORKFLOW.md#L1-L14] Bounded orchestration flow.
  • @[scripts/generate.py#L1-L112] Imported external image-generation helper.
  • @[templates/doraemon.md#L1-L95] Optional specialized storyboard template retained from upstream.

Scope

  • In-scope:
    • structure image-generation prompts from user intent
    • organize optional reference-image inputs
    • prepare prompt files/specs for later generation
    • execute the imported helper only when external API use is approved
  • Out-of-scope:
    • blind execution of upstream helper without review/approval
    • pretending an image was generated when only a prompt draft exists
    • searching/downloading reference images unless separately requested and approved

KB Mode Notes

  • Reading order:
    1. references/INDEX.md
    2. references/QUICK_REFERENCE.md
    3. references/CORE_API.md
    4. references/PATTERNS.md
    5. references/EXAMPLES.md
    6. references/AI_WORKFLOW.md
    7. scripts/generate.py
    8. templates/doraemon.md
  • Coverage Matrix:
    • trigger boundary + approval split -> QUICK_REFERENCE.md
    • prompt package + helper/API contract -> CORE_API.md
    • prompt engineering and reference handling -> PATTERNS.md
    • representative use cases -> EXAMPLES.md
    • orchestration order -> AI_WORKFLOW.md
  • Portability note:
    • Local governance treats the helper as an external API adapter; re-check model endpoint, auth, and file-handling policy before porting.

Trigger Rules

  • Positive:
    • The user explicitly wants an image to be generated, designed, imagined, storyboarded, or prompt-packaged.
    • The task needs a reusable structured prompt for later image generation.
  • Negative:
    • The task is primarily about editing an existing local image artifact with a different dedicated workflow.
    • The user only wants textual brainstorming without preparing generation specs.
    • External API/image upload is disallowed and a prompt-only output would not satisfy the request.
  • Escalation:
    • If execution would upload prompt/reference content to an external API, obtain approval first.
    • Without approval, return the structured prompt package and generation notes only.

SOP

  1. Confirm the user wants image generation or a generation-ready prompt package.
  2. Extract subject, style, composition, lighting, constraints, and optional reference-image role.
  3. Build a structured prompt/package in English unless the target workflow explicitly requires otherwise.
  4. Validate that prompt details are traceable to user instructions; do not invent hidden requirements.
  5. If approved and prerequisites exist, invoke the helper.
  6. Otherwise, return the prompt/spec package and state that execution was deferred.
  7. Report actual output artifact path or explicit deferral.

Error Handling

  • Missing visual requirements:
    • ask for the minimum missing details or provide a bounded default prompt draft with assumptions labeled.
  • Invalid reference images:
    • exclude invalid files and report which were skipped.
  • Missing API credential/runtime dependency:
    • stop at prompt-package output; do not fake execution.
  • API failure:
    • report the real error and keep the prompt package for retry.

Output Contract

  • Deliverables:
    • structured prompt/package
    • reference-image list used or deferred
    • actual output path only if generation succeeded
  • Validation:
    • no fabricated generated artifact
    • no silent external upload
    • prompt details remain faithful to user intent
  • Compliance Verdict:
    • PASS when prompt structure is sound and execution/deferral is reported truthfully.

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