Install
$ agentstack add skill-dkeken-codex-skills-alternative-creative-polish ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Creative — Generative Polish
Turn a selected draft into a final, production-ready asset. This is the LAST stage — it only runs on an already-chosen visual. Polishing before a concept is locked wastes effort; this skill assumes the creative direction is settled and now it's about execution quality.
When to use
- A concept has been chosen (from explore/scene/shot/ads/offer) and needs finishing.
- An image has fixable flaws: artifacts, bad hands/text, off composition, wrong aspect.
- Conforming a winner to final delivery specs (size, ratio, color).
When NOT to use
- The concept isn't locked yet — polishing many candidates is wasteful; lock first.
- You need new concepts → the relevant explorer skill.
- The image is fundamentally wrong (bad composition at the core) — regenerate upstream instead of patching.
Inputs (ask only what's missing)
- The selected source image (path or reference).
- Target spec: final aspect/size, where it'll be used, brand constraints.
- What to improve — specific issues, or run a full pass.
Workflow
- Diagnose the source. List concrete issues: artifacts, extra fingers/garbled text, composition imbalance, color cast, soft focus, wrong aspect, distracting background.
- Decide per issue: edit (inpaint/region fix via an image-edit tool) when only a region is wrong — it keeps the rest stable; regenerate (re-prompt with stronger constraints + source as reference) when the issue is structural.
- Apply passes in order: structural fixes → composition/crop → color grade → text legibility → final sharpen/export. Save iterations to
./creative/polish/.pngso you can roll back. - Conform to final aspect/size for the target medium.
- Show before/after and confirm it meets spec.
Worked example
Source: chosen hero from creative-shot, but has a duplicated keycap, blurry legend text, slightly cool cast, and is 1:1 but the hero slot needs 16:9.
issues: [duplicated keycap top-row] [legend text soft] [too cool ~-300K] [need 1792x1024]
passes:
1. edit (inpaint): remove duplicate keycap, rebuild row — region fix, rest untouched
2. regen-region: sharpen legend text, pass exact legends verbatim
3. grade: warm +250K, lift shadows slightly
4. crop/extend to 1792x1024 (outpaint left/right of product)
before: ./creative/shot/hero-34.png after: ./creative/polish/hero-final.png
verify: keycaps correct, text crisp, neutral-warm, 1792x1024 ✓
Quality bar
- No visible generation artifacts (hands, text, duplicated/merged elements).
- Exact visible text/wording preserved — never mutated during edits.
- Color and contrast are intentional and consistent with the brand/set.
- Delivered at the correct final aspect and resolution for its use.
Common pitfalls
- Text mutation — regenerating a region silently changes wording. Always pass text verbatim and re-check.
- Full-regen when an edit would do — re-rolling the whole image loses everything that was already right. Prefer region edits.
- Polishing unlocked concepts — finishing 5 candidates nobody chose. Lock first.
- No rollback — overwriting the source. Save numbered iterations.
Handoff
This is the terminal stage. Output the final asset(s) at spec. If the user wants the same treatment across a set, apply the same pass recipe to each and verify consistency.
Tooling
Needs an image tool with edit/inpaint + generate support (ideally outpaint for aspect changes). If only generation (no edit) is available, prefer targeted regeneration with the source as reference; if no image tool at all, output the diagnosed issue list + the exact fix prompts.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: DKeken
- Source: DKeken/codex-skills-alternative
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.