# Ai Image Editing > >- - **Type:** Skill - **Install:** `agentstack add skill-social-media-skills-skills-ai-image-editing` - **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior - **Seller:** [social-media-skills](https://agentstack.voostack.com/s/social-media-skills) - **Installs:** 0 - **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml) - **Latest version:** 0.1.0 - **License:** MIT - **Upstream author:** [social-media-skills](https://github.com/social-media-skills) - **Source:** https://github.com/social-media-skills/skills/tree/main/skills/ai-image-editing - **Website:** https://social-media-skills.com ## Install ```sh agentstack add skill-social-media-skills-skills-ai-image-editing ``` Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent. ## About # ai-image-editing The **edit router** — name the task, route the engine, one change at a time, uphold the real, check the seams, hand off with rights. The agent routes + specs; the **human judges every result at 100%**; **WoopSocial publishes**. (Ships with `tools/integrations/ai-image-editing.md`.) ## The POV: fix the 5%, keep the 95% — and remember an edited photo is an edited claim Editing's promise is surgical: the 2026 engines removed the old excuses (background removal now handles hair and glass; inpainting understands scene light; expand extends convincingly). The top-1% operator holds three lines the tool marketing won't. **(1) The upscaler split is an honesty split:** *faithful* upscalers (Topaz-class) preserve what's there; *creative* upscalers (Magnific-class) **hallucinate convincing detail that wasn't in the original** — spectacular for art, a fake-product-photo generator for commerce (invented stitching on a bag = a false claim, not sharpening). In-image text gets mangled — re-typeset it; no upscaler beats a reshoot. **(2) Editing real photos crosses into misrepresentation faster than generating:** defect concealment fails the FTC net-impression standard, undisclosed body retouching is **label-required by law in several markets** (France, Norway including influencers, Israel), and chained face enhancement can drift a real person's identity — the person who knew them judges likeness. **(3) Route by task, not brand loyalty:** raw complex-mask quality lives in FLUX Kontext/Fill; **indemnified client work lives in Firefly** (the only major engine trained exclusively on licensed content); quick fixes stay in Canva; product batches go to dedicated pipelines. ## Read these first 1. **brand-profile** + **design-and-templates** — the system the edited image must still fit. 2. **before-after-and-transformation** — the claim rules for any results/comparison imagery. ## The framework: TOUCH (Depth: `references/the-touch-framework.md`.) - **T — Task first, tool second:** name the job (remove/replace/erase-bg/extend/upscale/restore/restyle), then route it — the task defines the tool, never the reverse. - **O — One change at a time:** small precise masks; chained small edits; re-check coherence every few steps; upscale low-res sources BEFORE inpainting; preserve the 95%. - **U — Uphold the real:** faithful mode for products/documents; no defect concealment; retouch-disclosure laws; conservative face work; consent; no watermark/provenance stripping; hallucination belongs to art. - **C — Check the seams:** 100% zoom, always — edges/halos, light + shadow direction, perspective, faces, in-image text, batch consistency, identity drift. - **H — Hand off with rights:** source license + engine terms (Firefly indemnification vs FLUX outputs-vs-service) + disclosure labels; master as PNG/TIFF → WoopSocial. ## The reality (verify-quarterly) 2026 editing: background removal handles hair/glass (e-commerce dropped manual masking); **FLUX Kontext/Fill** leads raw inpainting on complex masks (a selectable partner model in Photoshop Beta's Generative Fill); **Firefly** = licensed-training + **IP indemnification** (the agency routing fact); Canva Magic tools for in-workflow fixes; Claid-class owns product batches. **Upscalers:** Topaz-class faithful (local processing, face recovery) vs Magnific-class creative (*"hallucinates detail that wasn't visible in the original"*; **Freepik rebranded to Magnific, Apr 2026**). Craft constants: quality tracks the source; small masks beat large; text through an upscaler becomes gibberish (re-typeset); masters as PNG/TIFF; reshoot beats repair. Disclosure layer: FTC net-impression; France/Norway/Israel retouch labels; EU AI Act; provenance intact. *"The editing lane still rewards judgment over blind automation."* **Attribute all; verify-quarterly.** Full detail: `references/ai-image-editing-2026-reality.md`; the task→engine router, chain, QA card, and worked examples: `references/task-router-and-templates.md`. ## Honest scope (never violate) - **The agent** names the task, routes the engine, writes the spec (masks/prompts/settings/chain order), and calls APIs **where connected** (exact human steps otherwise); the **human judges every result at 100%** (no fabricated "the seams are clean"; the person who knew them judges a restored face); **WoopSocial publishes** the finished images — it does **not** edit, upscale, or remove backgrounds. - **The honesty spine:** an edited real photo is an edited claim — no defect concealment, faithful upscaling for accuracy-critical images, retouch-disclosure laws honored (verify per market), conservative face work, consent for others' images, no watermark removal or provenance stripping, AI-disclosure where required, source licenses confirmed. **Never fabricate** engine capabilities, benchmarks, or terms — test on your own images; counsel for high-stakes claims. (Full scope: `references/scope-and-connections.md`.) ## Distinct from its siblings (route correctly) **ai-image-editing (this)** = editing images that exist (the router) · **image-prompt / flux / nano-banana / ideogram / nano-banana** = generation (FLUX Kontext + nano-banana serve both lanes — this routes their *editing* use; their skills own the tools) · **canva** = the design workflow (Magic tools = the quick-fix lane) · **infographic-and-data-viz / quote-cards-and-text-graphics** = graphics built from scratch · **before-after-and-transformation** = the FTC rules any edited "result" must meet · **capcut / ai-video** = motion (video cleanup routes there). ## Where this connects Reads first: **brand-profile** + **design-and-templates** + **before-after-and-transformation** (results imagery). Pulls sources from: real photography, **flux**/the generators (fixing generated images is half the 2026 workload), archives (restoration). Feeds: **canva** (edited assets into layouts), **thumbnail-design** / **carousel-writer** / **pinterest-pin-design**, the **platform publishing skills.** Publishes via: master + derivatives → **scheduling-and-queue → WoopSocial.** Tool file: **`tools/integrations/ai-image-editing.md`.** Measure with: human-judged fidelity + **analytics-and-reporting** — never fabricated. ## Definition of done An edit routed task-first (the job named precisely, the engine chosen for it — complex masks to Kontext/Fill, indemnified client work to Firefly, quick fixes in-workflow, product batches to dedicated pipelines, faithful upscaling for real photos and creative only for art), executed one change at a time from the best source (upscale-before-inpaint on low-res; the canonical chain ordered repairs → edits → upscale → PNG/TIFF master → derivatives), held to the honesty spine (no hallucinated product detail, no defect concealment, retouch labels where law requires, conservative identity-safe face work, consent, watermarks and provenance intact, AI-disclosure where required), seam-checked at 100% (edges, light, perspective, faces, text, batch consistency), and handed off with rights confirmed; the human judging every result and WoopSocial publishing the finished image; **no fabricated capabilities or benchmarks**; and correctly distinguished from the generation skills, canva, and before-after-and-transformation. ## Source & license This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code. - **Author:** [social-media-skills](https://github.com/social-media-skills) - **Source:** [social-media-skills/skills](https://github.com/social-media-skills/skills) - **License:** MIT - **Homepage:** https://social-media-skills.com Install and usage instructions live in the source repository linked above. ## Pricing - **Free** — Free ## Security capabilities Automated source analysis of v0.1.0 — what this tool can access: - **Network access:** no - **Filesystem access:** no - **Shell / process execution:** no - **Environment & secrets:** no - **Dynamic code execution:** no *"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.* ## Versions - **0.1.0** — security scan: passed — Imported from the upstream source. ## Links - Listing page: https://agentstack.voostack.com/l/skill-social-media-skills-skills-ai-image-editing - Seller: https://agentstack.voostack.com/s/social-media-skills - Browse the marketplace: https://agentstack.voostack.com/browse --- Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.