# Sticker Pack Maker > Create production-ready messaging sticker packs from character reference images and a scene list. Plan distinct scenes, preserve character consistency, generate square stickers with exact speech-bubble text, convert chroma backgrounds into true RGBA transparent PNGs, validate every image, name files, and package ZIP archives. Use when users request sticker packs, emoji packs, reaction images, tra… - **Type:** Skill - **Install:** `agentstack add skill-neoweb3nova-sticker-pack-maker-skill-sticker-pack-maker` - **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior - **Seller:** [NeoWeb3Nova](https://agentstack.voostack.com/s/neoweb3nova) - **Installs:** 0 - **Category:** [Content & Media](https://agentstack.voostack.com/c/content-and-media) - **Latest version:** 0.1.0 - **License:** MIT - **Upstream author:** [NeoWeb3Nova](https://github.com/NeoWeb3Nova) - **Source:** https://github.com/NeoWeb3Nova/sticker-pack-maker-skill/tree/main/skills/sticker-pack-maker ## Install ```sh agentstack add skill-neoweb3nova-sticker-pack-maker-skill-sticker-pack-maker ``` Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent. ## About # Sticker Pack Maker Create coherent sticker series rather than unrelated one-off illustrations. Preserve the reference character, make every scene semantically distinct, and deliver validated transparent PNG files plus an optional ZIP. ## Output contract - Produce one square PNG per scene. - Preserve the character's face, hair, outfit, palette, outline weight, and rendering style. - Keep requested speech-bubble text exact and legible. - Use a thick white sticker border. - Deliver RGBA images with fully transparent outer corners. - Use stable numbered filenames such as `01_收到.png`. - Validate the count, dimensions, alpha channel, and corner transparency. ## Workflow ### 1. Establish the pack brief Derive sensible defaults instead of blocking when details are absent: - Character: use the supplied reference image. - Count: use the requested count; otherwise default to 20. - Canvas: square, at least 1024×1024. - Language: match the user's language. - Style: match the reference image. - Background: final transparent PNG. - Delivery: individual PNG files and one ZIP. Record any invariant shirt text, logo, accessories, or forbidden elements. Do not silently replace them. ### 2. Plan non-overlapping scenes Create a numbered scene manifest before generation. Each scene needs: - `text`: short bubble copy, usually 2–6 characters for Chinese. - `action`: a visible pose or prop that communicates the meaning without text. - `emotion`: a distinct facial expression. - `filename`: stable numbered output name. Read [references/scene-planning.md](references/scene-planning.md) when the user requests a themed pack or when more than 10 scenes are needed. Reuse a starter manifest from `assets/scene-packs/` when it fits. ### 3. Generate chroma-key source images Use the available image-generation tool with the character reference attached. Generate one image per call when exact text and consistency matter; small batches increase latency variance and make failures harder to recover. Read [references/prompt-patterns.md](references/prompt-patterns.md) and build every prompt from the same character/style lock. Require: - A perfectly flat, uniform `#0000FF` background. - No blue elements in the character, props, border, or text. - One character unless the scene explicitly requires a robot or secondary figure. - Exact bubble text in quotation marks. - No watermark, signature, unrelated text, duplicate limbs, or cropped sticker border. Do not depend on native transparency from the generator. Chroma-key post-processing is deterministic and verifiable. ### 4. Convert to true transparency Install the lightweight dependencies once: ```bash python -m pip install -r skills/sticker-pack-maker/requirements.txt ``` Process, validate, and zip a source directory: ```bash python skills/sticker-pack-maker/scripts/sticker_pipeline.py process \ --input-dir ./generated-blue \ --output-dir ./stickers-transparent \ --zip ./stickers-transparent.zip \ --expected-count 20 \ --force ``` When generated filenames are random, provide a JSON manifest with `source` and `filename` fields: ```bash python skills/sticker-pack-maker/scripts/sticker_pipeline.py process \ --input-dir ./generated-blue \ --output-dir ./stickers-transparent \ --manifest ./manifest.json \ --zip ./stickers.zip \ --force ``` The script samples the border color, builds a soft alpha matte, removes chroma spill on fringe pixels, saves RGBA PNG files, validates them, and creates the archive. ### 5. Perform visual QA Run deterministic validation: ```bash python skills/sticker-pack-maker/scripts/sticker_pipeline.py validate \ --input-dir ./stickers-transparent \ --expected-count 20 ``` Then visually inspect every image or at least a contact-sheet-sized view. Regenerate any image with: - Incorrect or misspelled bubble text. - Character drift or wrong shirt/logo text. - Repeated scene composition. - Extra fingers, limbs, people, or text. - Blue subject elements damaged by chroma removal. - Cropped white sticker borders. Read [references/quality-checklist.md](references/quality-checklist.md) for the full acceptance checklist. ### 6. Deliver and report Return clickable paths to: - The transparent PNG directory. - The ZIP archive. - One representative preview. Report the count, dimensions, RGBA validation result, and any regenerated items. Never claim completion while image-generation calls are still queued. ## Recovery rules - If a generation call stalls, retain completed source images and retry only the missing scene. - If exact text fails, simplify the composition and regenerate that image alone. - If chroma removal damages blue subject details, regenerate with a non-blue palette or use a different key color and pass `--key-color`. - If filenames no longer match scene order, build a manifest instead of relying on timestamps. - Never delete original generated images during post-processing. ## Resources - `scripts/sticker_pipeline.py`: chroma removal, RGBA validation, renaming, and ZIP packaging. - `references/prompt-patterns.md`: generation prompt locks and templates. - `references/scene-planning.md`: scene diversity framework. - `references/quality-checklist.md`: deterministic and visual QA. - `assets/scene-packs/`: reusable AI, Web3, and workplace scene manifests. ## Source & license This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code. - **Author:** [NeoWeb3Nova](https://github.com/NeoWeb3Nova) - **Source:** [NeoWeb3Nova/sticker-pack-maker-skill](https://github.com/NeoWeb3Nova/sticker-pack-maker-skill) - **License:** MIT 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-neoweb3nova-sticker-pack-maker-skill-sticker-pack-maker - Seller: https://agentstack.voostack.com/s/neoweb3nova - 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%.