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Turn prompts into Comics
From the developer
Not specified in the available declarations: limitations, pricing & account requirements.
Make a 2-page manga about a courier delivering sunlight to an underground city.
Developer declarations; not independently tested. Listing last checked Nov 7, 2026. Package observed Nov 7, 2026.
From the marketplace listing
Comic Sol is a local-first Codex workflow for turning a short prompt, story, or source file into an original manga/anime comic. It creates editable story plans, character and scene references, panel prompts, generated panel PNGs, deterministic lettering, composed pages, a PDF, manifest, and transparent QA evidence. It uses the image-generation capability exposed by the current Codex session and keeps provider credentials outside the project.
Language: English · Automatically detected from descriptions.
Exact text from the indicated source. A mention alone does not establish support for your task.
Comic Sol is a local-first Codex workflow for turning a short prompt, story, or source file into an original manga/anime comic. It creates editable story plans, character and scene references, panel prompts, generated panel PNGs, deterministic lettering, composed pages, a PDF, manifest, and transparent QA evidence. It uses the image-generation capability exposed by the current Codex session and keeps provider credentials outside the project.
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---
name: comic-sol
description: Create, storyboard, render, resume, repair, and export finished original manga/anime comics from a short prompt, prose story, pasted narrative, or local .txt/.md source. Use when Codex should produce editable plans, consistent panel PNGs, composed page PNGs, a PDF, manifest, and transparent QA report without building a web app.
---
# Comic Sol
Turn one natural-language request into a local, editable comic project. Operate as an
agent workflow: reason about story and images, use an exposed image-generation
capability, and delegate deterministic validation, lettering, composition, export, and
reporting to the bundled Python scripts.
## Read progressively
- Read [workflow](references/workflow.md) for input detection, all ten stages, commands,
state transitions, failures, resume, and completion.
- Read [creative direction](references/creative-direction.md) before authoring plans,
character fingerprints, storyboards, references, or image prompts.
- Read [capability detection](references/capability-detection.md) immediately before
selecting or invoking an image-generation tool.
- Read [visual QA](references/visual-qa.md) before accepting, retrying, overriding,
composing, or exporting any generated panel.
- Read [safety and IP](references/safety-ip.md) before sending prompts externally and
whenever people, minors, sensitive data, named styles, franchises, or refusals appear.
- Read [schemas](references/schemas.md) whenever writing or revising JSON artifacts.
## Core orchestration
1. Detect resume/source-file/pasted-story/short-prompt mode in the normative order.
2. Ask only a materially required question listed in the workflow reference; otherwise
apply defaults and continue without confirmation.
3. Run the local doctor, initialize or inspect the project, then write and validate each
semantic artifact before advancing its status. Persist each completed stage with
`record-stage` so resume can reuse honest cache keys.
4. Detect image capability from tools exposed in the current agent session. Do not ask
deterministic scripts to discover or call an image provider.
5. Generate canonical references and panels into attempt paths. Require the image model
to draw each exact storyboard SFX in the artwork, inspect every result visually, record
all seven QA checks, and selectively repair only failures within budget.
6. Promote accepted attempts; deterministically letter dialogue and captions while
validating and counting exact storyboard SFX without drawing it in Pillow; compose
pages, inspect every composed page and write its `qa/pages/page-{NNN}.json` record,
export the PDF, render the QA report (which projects the terminal status the project
is about to reach), validate final integrity, then transition to that terminal status.
7. Return status, counts, warnings, and clickable project output paths.
## Token budget rules
Apply these rules in every session to reduce token waste without reducing output quality.
## Fast Mode
Fast Mode keeps all quality gates while removing the specific waste that turns a
pilot into a 4+ hour run. Apply it to every new production by default.
### Never read engine source
Do not read, grep, or open any file under `scripts/`, `comic_sol_product/`, or
`tests/`. The deterministic engine is a black box invoked only via `init`,
`doctor`, `validate`, `status`, `resume-plan`, and `finalize`. Reading source
wastes context and risks editing the engine you should not touch.
If doctor reports missing Python/font/Pillow, stop and report the exact required
environment change. Obtain explicit user approval, then apply only that documented
fix; do not patch the engine to make the check pass. If a version pin looks wrong,
report it as a skill upgrade, not an ad-hoc edit.
### Use init, never hand-write setup scripts
Do not write `setup_batch_*.py`, `build_plans.py`, or equivalent helpers. The engine
owns project structure. Create a project with oPreview of the first 4,000 characters. Read full instructions →
Referenced files: 34 — file references are metadata, not package contents.
Publisher declarations from the archived package. These are separate from our research and the live service's terms.
Package observed Nov 7, 2026.
plugins_6a7e8e80bf188191b745b31133a82db8
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