This release adds 3 notable features for engineering teams evaluating rollout.
✓ No known CVEs patched in this version
Topics
+14 more
Summary
AI summaryAdded four new skills: SVG authoring, prompt‑dialect rewriting, validation debugging, and brand consistency enforcement.
Full changelog
Plugin skill set rounded out from 8 asset-type skills to 12, closing long-tail gaps in SVG authoring, prompt-dialect rewriting, validation repair, and multi-asset brand consistency.
Added (4 new skills)
svg-authoring— engaged whenasset_generate_*returns anInlineSvgPlan. Enforces viewBox, path budget, palette, optical balance, and small-scale (16×16) legibility so the emitted<svg>passesasset_save_inline_svgvalidation. Covers style taxonomy (flat / outlined / filled / duotone / minimal / brutalist) with concrete SVG patterns for each.t2i-prompt-dialect— engaged during prompt rewriting. Per-model rules forgpt-image-1, Imagen / Gemini, SD 1.5 / SDXL, Flux.1 / Flux.2, Midjourney, Ideogram, Recraft. Handles negative-prompt translation (Flux errors on it, Imagen /gpt-image-1ignore it, SDXL uses it), token budgets (SDXL 77-token CLIP limit withBREAKchunking), transparency quirks (never prompt Imagen / Gemini for transparency), and brand-palette injection per dialect.asset-validation-debug— engaged whenasset_validateor a generator returns warnings. Maps failure codes (T0_CHECKERBOARD,T0_ALPHA_MISSING,T1_PALETTE_DRIFT,T1_TEXT_MISSPELL, etc.) to concrete repair primitives (matte, inpaint, route change, seed sweep, composite SVG type) with cost ratios (SVGO 0.01×, matte 0.05×, inpaint 0.3×, regenerate 4×). Applies a retry budget so Claude does not loop on hopeless regenerations.brand-consistency— engaged for multi-asset sets. BuildsBrandBundle(palette, typography, style refs, do-not list, logo mark), enforces palette per model (Recraftcontrols.colorshard-lock → IP-Adapter → Midjourney--sref→ Flux LoRA), validates CSD style similarity + ΔE2000, promotes accepted assets back intostyle_refs[]so each new generation tightens the brand lock. Covers LoRA-training ROI (break-even ≈ 20 assets).
Unchanged
- MCP tool surface — still 24 tools. No API changes.
- mcp-server npm package — still 0.3.0 (no code changes). This release tags the plugin skill bundle only.
- Existing 8 skills —
asset-enhancer,logo,app-icon,favicon,og-image,illustration,transparent-bg,vectorize. Unchanged.
Mirror system
scripts/sync-mirrors.sh and scripts/verify-repo.sh propagate every SKILL.md to .claude/, .cursor/, .windsurf/, and plugins/prompt-to-asset/ under byte-for-byte CI enforcement. rules/asset-enhancer-activate.md gained a "Supporting skills" section that regenerates into CLAUDE.md, AGENTS.md, GEMINI.md, .clinerules/, .cursor/rules/, .windsurf/rules/, and .github/copilot-instructions.md.
Research
Full design specs under docs/research/24-skills-for-p2a/ — 9 documents covering gap analysis, marketplace-skill survey, per-skill design, and the master SYNTHESIS.md with dependency map and ranked priority matrix.
CI
All 8 CI jobs green across ubuntu/macos/windows × Node 20/22/24. No test changes; every existing test still passes.
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About MohamedAbdallah-14/prompt-to-asset
Generates app icons, favicons, OG images, logos, and wordmarks. Routes each request across 30+ image models. Runs without an API key via Cloudflare Workers AI, NVIDIA NIM, HuggingFace, or Stable Horde. Three modes: inline SVG, external prompt-only, or full API. Validates contrast, OCR text accuracy, and palette before returning.
Related context
Beta — feedback welcome: [email protected]