Skip to main content

image-generation

Generate image assets through iPolloWork's image service, whether Image Studio is open or closed.

Quellinformationen

Repository
Devin-AXIS/iPolloWork
Letzte Quellaktivität
23. September 2026 um 10:39
Erkannte Sprache von SKILL.md
Englisch
Sterne
7.286
Forks
1.136

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
image-generation
description
Generate image assets through iPolloWork's image service, whether Image Studio is open or closed.
# Image generation Use this Skill for a requested new image or a missing supporting image identified while authoring a PPT, website or video. Image Studio does not need to be open. Plan assets during initial creation/full redesign; preserve narrow edit scopes and explicit no-image requests. Reuse suitable assets first; visual clarity and context are valid reasons to generate, not only absolute necessity. Assess the visual purpose, existing assets and best medium internally; no separate assessment report is required. Keep diagrams editable, treat pure decoration as optional, and never present generated illustrative scenes as real evidence. 1. Preserve the user's subject, composition, text, brand, and format requirements. 2. Discover `openai-image-generation` using `ipollowork_extension_list_actions`, then call its `status` action. Call status first and check authorization, capabilities and supported parameters. Preserve a model explicitly selected for this task or captured workbench request. An ordinary requested image or a supporting asset inside an authorized Design, PPT or Video task is an approved automatic-selection flow: use a suitable authorized saved preference when present; otherwise use the suitable authorized `defaultModel`, or the first suitable authorized model in returned product order when `defaultModel` cannot perform the operation. Do not ask or leave the asset pending solely because multiple suitable models are authorized. Ask once only when the user requested a choice, an explicit model is unavailable and substitution materially changes provider, cost or capability, or no automatic candidate satisfies the task scope and allowed cost settings. Reuse the resolved task selection for compatible assets and disclose the model used after generation. `defaultModel` is a computed automatic candidate, not a persisted preference; never save it without an explicit request. Missing authorization or an unqueryable capability must not block the caller or open settings: report the state and continue. Never request keys in chat. Do not invent preferences or budgets. Pass the chosen stable model ID explicitly. Never submit variants outside scope; query or recover uncertain jobs before resubmitting. For an explicit workbench settings/annotation request, honor its captured selection instructions; do not change the workbench model through UI automation. 3. After resolving the model by this policy, call `image_generate` through `ipollowork_extension_call` with that exact stable `model` ID, the prompt, and optional quality/size. Include style, camera, and lighting requirements in the prompt. 4. Use this server action for ordinary chat requests even when Image Studio is open. UI tool discovery and opening the workbench are unnecessary. Use workbench tools only when the user explicitly requests the current workbench settings or selection. Never request, print, or place API keys in a prompt or workspace file. 5. Save generated results as new workspace artifacts and include a Markdown image link to the exact returned path in the final response. Never claim success until the action returns the saved file. For a composition, place the saved image under its existing assets directory, use a project-relative reference, and verify loading, crop and export compatibility before delivering the composition. Standalone images can be opened in Image Studio from the conversation. 6. Keep the first pass focused. Generate variants only when the user asks for alternatives.
Auf GitHub ansehen