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image-to-mission

Extract creative intent from images into executable build specs. Activates on images + build intent, "image to mission", "i2m", or capturing visual energy in code/design.

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Quellinformationen

Repository
Tibsfox/gsd-skill-creator
Letzte Quellaktivität
10. Juni 2026 um 22:32
Erkannte Sprache von SKILL.md
Englisch
Sterne
70
Forks
9

Installationsoptionen

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

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

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
image-to-mission
description
Extract creative intent from images into executable build specs. Activates on images + build intent, "image to mission", "i2m", or capturing visual energy in code/design.
domain
creative-translation
context
fork
activation
domain
dependencies
{"optional":["vision-to-mission"]}
format
2025-10-02T00:00:00.000Z
version
1.0.0
status
ACTIVE
updated
2026-04-15T00:00:00.000Z
triggers
["user provides an image and wants it turned into a build spec or mission","\"image to mission\" or \"i2m\" is requested","capturing visual or design energy from an image into code or a mission package"]
# Image to Mission Takes one or more images plus optional creator context and produces: 1. Structured 4-layer visual analysis (literal, spatial, relational, mood) 2. Extracted technical parameters (color, geometry, material, feel) 3. Executable build instructions with philosophy annotations 4. Self-contained transmission package for cross-context handoff ## When to Activate Activate when the user provides images AND expresses intent to: - Build, create, or make something based on the images - Translate visual reference into code, design, or specifications - Capture the "feel" or "energy" of images in another medium - Create a mission package from visual reference - Direct keywords: "image to mission", "i2m" - Target medium: "translate this to [canvas/react/three.js/SVG/CSS]" DO NOT activate when the user: - Simply asks "what's in this image?" (use standard image analysis) - Wants image editing or manipulation - Needs OCR or text extraction from images - Is asking about image file formats or metadata - Asks to describe colors or content without build intent ## Observation Protocol Before building anything, enter observation mode: ### Phase 1: Observe (mandatory — do not skip) Process each image through four layers: - **Literal:** Inventory all visible objects, materials, colors - **Spatial:** Map relationships, arrangements, density - **Relational:** Find patterns across images, note changes vs. constants - **Mood:** Quantify atmosphere (energy, intimacy, order, handmade, ceremony) ### Phase 2: Listen (if creator provides context) Structure context into: process, intent, constraints, accidents, multipurpose. Extract the process insight — the key understanding about HOW it was made. ### Phase 3: Connect Synthesize observations + context into unified understanding. Find what neither source reveals alone. ### Phase 4: Extract Convert understanding to numerical parameters: - Colors (palette, temperature, contrast, relationships) - Geometry (shape, arrangement, symmetry, constants) - Materials (surfaces, light interaction, blend modes) - Feel (energy, intimacy, order, handmade, ceremony — all 0-1) ### Phase 5: Build Translate parameters to target medium. Generate step-by-step instructions with philosophy notes. ### Phase 6: Document Package everything for transmission. Validate self-containment. ## Output Formats | Format | When | Content | |--------|------|---------| | Direct build | Simple, single-medium output | Code/SVG + philosophy notes | | Build spec | Medium complexity | Step-by-step instructions | | Mission package | Complex, multi-component | Full vision_to_mission handoff | | Transmission package | Cross-context work | JSON/Markdown bundle | ## Implementation Code lives in `src/vtm/image-to-mission/`. Key modules: - **observation-engine** — four-layer observation (literal/spatial/relational/mood) - **context-integrator** — freeform text parser, layer mapping, process insight extraction - **connection-engine** — cross-image linker, visual-context bridge, synthesis orchestrator - **parameter-extractor** — color/geometry/material/feel extraction with reference tables - **translation-code** — Canvas, React/JSX, Three.js, CSS translators - **translation-design** — SVG, palette, markdown layout spec - **build-generator** — ordered atomic build steps with philosophy annotations - **transmission-packager** — 5 self-containment checks, JSON + markdown serialization - **pipeline-bridge** — complexity scoring (0-12), routing, override detection, v2m handoff ## Key Principles 1. **Observe before building** — spend time with images 2. **Process reveals pattern** — ask how, not just what 3. **Emergent > designed** — honor organic over mechanical 4. **Feel over fidelity** — capture energy, not pixels 5. **Document for transmission** — write for the next mind ## Safety - Output is inspired by, not a copy of, source images - Creator context is attributed, never silently absorbed - Simple description requests are rejected to avoid wasting observation protocol
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