Agent skill

Photo Revival

by dacnay816y62-hub in dacnay816y62-hub/photo-revival

Turn ordinary photos or everyday snapshots into poetic hand-drawn illustrations with large white-paper negative space, vivid localized color, subtle collage accents, and tiny handwritten captions.

MITAuto-check passedMedia & Creative

Install Photo Revival

skills CLI
$ npx skills add dacnay816y62-hub/photo-revival --skill photo-revival -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install dacnay816y62-hub/photo-revival photo-revival --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
photo-revival
GitHub stars
585
Token cost
~532 tokens
SKILL.md length
267 words
Files
21
Skills in repo
1
Repo updated
First seen
Licence
MIT

At a glance

Turn ordinary photos or everyday snapshots into poetic hand-drawn illustrations with large white-paper negative space, vivid localized color, subtle collage accents, and tiny handwritten captions.

  • Works in 5 steps: Identify the photo's main subject,… → Preserve those details in simplified… → Rebuild the scene as an illustration… → …
  • A user wants a real photo reimagined as an illustration rather than filtered
  • SKILL.md covers Core idea, Workflow, Style rules and Avoid, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Photo Revival is an agent skill from dacnay816y62-hub/photo-revival. Turn ordinary photos or everyday snapshots into poetic hand-drawn illustrations with large white-paper negative space, vivid localized color, subtle collage accents, and tiny handwritten captions. Use when a user wants a real photo reimagined as an illustration rather than filtered, beautified, or photorealistically edited.

Its SKILL.md is about 530 tokens, which your agent loads only when the skill is triggered. The skill folder holds 22 other files (for example `README.md` and `agents/openai.yaml`).

It sits in Media & Creative, covering Report writing. The repository describes itself as: Codex skill for turning everyday photos into poetic white-paper hand-drawn illustrations. The licence is MIT.

When your agent uses it

  • A user wants a real photo reimagined as an illustration rather than filtered
  • Photorealistically edited

Example prompts

  • “/photo-revival”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Identify the photo's main subject, setting, and one or two memorable details.
  2. Preserve those details in simplified form; do not copy the photo literally.
  3. Rebuild the scene as an illustration with paper texture, brush marks, pencil edges, or watercolor softness.
  4. Leave 80-88% of the page as blank white paper.
  5. Add text only as a small note, label, date, or poetic fragment.

What it can do on your machine

Read from SKILL.md and the folder at commit 5574fa2. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Photo Revival loads about 532 tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 267 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~85
When it runs · the whole SKILL.md, loaded when a task matches
~532

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from dacnay816y62-hub/photo-revival at commit 5574fa2, republished under its MIT licence (© dacnay816y62-hub). 267 words, ~532 tokens.

Download SKILL.mdSave it as .claude/skills/photo-revival/SKILL.md (or your agent's skills folder). This skill also uses 20 other files; get the full folder from GitHub.
name
photo-revival
description
Turn ordinary photos or everyday snapshots into poetic hand-drawn illustrations with large white-paper negative space, vivid localized color, subtle collage accents, and tiny handwritten captions. Use when a user wants a real photo reimagined as an illustration rather than filtered, beautified, or photorealistically edited.

Photo Revival

Core idea

Keep the subject and scene recognizable, but redraw the image as a fresh illustration on white paper.

Default to:

  • 3:4 vertical composition
  • large white-paper negative space
  • a tiny subject or focal cluster occupying about 10-16% of the page
  • delicate hand-drawn texture
  • vivid local color only where it matters
  • tiny handwritten text, dates, or short captions

Workflow

  1. Identify the photo's main subject, setting, and one or two memorable details.
  2. Preserve those details in simplified form; do not copy the photo literally.
  3. Rebuild the scene as an illustration with paper texture, brush marks, pencil edges, or watercolor softness.
  4. Leave 80-88% of the page as blank white paper.
  5. Add text only as a small note, label, date, or poetic fragment.

Style rules

  • Use white or very light paper as the base.
  • Keep the illustration area small and concentrated: default 10-16% of the page, absolute maximum 18%.
  • Keep the strongest color inside that small illustrated area; do not let color spread into the blank field.
  • Favor vivid but controlled color in a limited area.
  • Let the drawing feel handmade, not filtered.
  • Allow subtle collage, stamp, or clipping hints only when they stay tiny and integrated.

Avoid

  • Full-bleed image fills
  • Photo-filter looks
  • Heavy poster typography
  • Dense layouts
  • Subject areas larger than 18% of the page
  • Flat vector treatment
  • Large collage blocks
  • Overly realistic retouching

Output prompt shape

When directing image generation, describe:

  • what must be preserved from the photo
  • what should become illustrated
  • the paper base and empty space
  • the tiny text treatment
  • the desired color accents

Keep the instruction short and focused.

© dacnay816y62-hub, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 20 other files in the repository root of dacnay816y62-hub/photo-revival.

  • SKILL.md
  • LICENSE
  • README.md
  • agents/openai.yaml
  • examples/01_car_page.png
  • examples/01_flower_tree_paper.png
  • examples/01_moon_gate.png
  • examples/02_camera_page.png
  • examples/03_bubbles_page.png
  • examples/03_pagoda.png
  • examples/03_red_bike_dot.png
  • examples/03_runner_paper.png
  • examples/04_skyline_page.png
  • examples/05_dumpling_paper.png
  • examples/05_japan_road_page.png
  • examples/05_old_shop_torn_label.png
  • examples/06_cat_bed_paper.png
  • examples/06_mask_dance.png
  • examples/06_train_window_page.png
  • … and 2 more

Open the folder on GitHubat commit 5574fa2

Compare with similar skills

Photo Revival next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Photo Revival compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Photo Revival this skilldacnay816y62-hub/photo-revival585—~532Automated safety check: PassMIT
Word Document Reader and WriterHKUDS/DeepTutor41k—~2.5kAutomated safety check: PassApache-2.0
Bookforge Korean Ebook PDF Makergongnyang/bookforge3161 repos~1.7kAutomated safety check: PassMIT
BiSheng DOCX Builderdataelement/bisheng12k—~2.7kAutomated safety check: PassApache-2.0
Typst Authorjihe520/MathModelAgent6.2k1 repos~2.3kAutomated safety check: PassNone
Word Document Builderspinabot/brigade11k—~2.1kAutomated safety check: PassMIT

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Questions about Photo Revival

What does Photo Revival do?

Turn ordinary photos or everyday snapshots into poetic hand-drawn illustrations with large white-paper negative space, vivid localized color, subtle collage accents, and tiny handwritten captions. Photo Revival is an agent skill from dacnay816y62-hub/photo-revival. Turn ordinary photos or everyday snapshots into poetic hand-drawn illustrations with large white-paper negative space, vivid localized color, subtle collage accents, and tiny handwritten captions.

When should I use Photo Revival?

Photo Revival fits situations like: A user wants a real photo reimagined as an illustration rather than filtered; photorealistically edited.

How do I install Photo Revival in Claude Code?

Run `npx skills add dacnay816y62-hub/photo-revival --skill photo-revival -a claude-code`. Or copy the skill folder (the dacnay816y62-hub/photo-revival repository) into .claude/skills/photo-revival in your project. Claude Code loads it when a task matches its description.

How do I install Photo Revival in Codex?

Run `npx skills add dacnay816y62-hub/photo-revival --skill photo-revival -a codex`. Or copy the skill folder (the dacnay816y62-hub/photo-revival repository) into .agents/skills/photo-revival in your project. Codex loads it when a task matches its description.

Can I use Photo Revival in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add dacnay816y62-hub/photo-revival --skill photo-revival -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/photo-revival, .gemini/skills/photo-revival, .github/skills/photo-revival and .opencode/skills/photo-revival in your project.

What does Photo Revival need to run?

SKILL.md names no scripts, command-line tools or credentials: Photo Revival is instructions for the agent only.

Does Photo Revival access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Photo Revival safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Photo Revival use?

Photo Revival is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Photo Revival use?

About 532 tokens (SKILL.md is roughly 2.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Photo Revival?

Skills that share tags, products or a category with Photo Revival: Word Document Reader and Writer (HKUDS/DeepTutor, 41k stars), Bookforge Korean Ebook PDF Maker (gongnyang/bookforge, 316 stars), BiSheng DOCX Builder (dataelement/bisheng, 12k stars) and Typst Author (jihe520/MathModelAgent, 6.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Photo Revival?

dacnay816y62-hub (a GitHub user) maintains it in dacnay816y62-hub/photo-revival, which has 585 GitHub stars. The repository was last updated on September 5, 2026.

Source: dacnay816y62-hub/photo-revival on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.