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Gayaya999/personal-ip-generator

A Codex skill for generating consistent personal IP avatars and expression packs with curated style presets.

History

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Oct 25, 2026Oct 25, 2026163

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Individual skills in this repository

How it works

personal-ip-generator

When your agent uses it

Create a consistent personalized IP avatar, character sheet, digital double, sticker set, or expression pack from user-owned portrait photos and a curated catalog of preset visual styles. Run a strict Plan-Mode-style, one-question-at-a-time wizard before generating. Use when Codex needs to generate or refine a personal IP, 真人卡通形象, 个人头像, 专属角色, 数字分身, 微信表情包, sticker pack, emoji set, select a preset IP style, or derive an original character from a real person's appearance.

What it loads into context

Frontmatter

118 tokens

Always available to the agent

SKILL.md

1,855 tokens

When the skill is activated

Reference documents

7,668 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

  1. Core Rule
  2. Load References
  3. Style Preset Intake
  4. Custom Style Mode
  5. Workflow
  6. Quality Gates

Files

  • .gitignoreasset149 bytes
  • LICENSEasset1,066 bytes
  • README.mddoc2,927 bytes
  • SKILL.mdcore9,172 bytes
  • SKILL.mdcore9,172 bytes
  • SKILL.mdcore9,172 bytes
  • SKILL.mdcore9,172 bytes
  • agents/openai.yamlasset322 bytes
  • assets/style-presets/3d-feng/reference-01.pngasset647,462 bytes
  • assets/style-presets/3d-feng/reference-02.pngasset951,283 bytes
  • assets/style-presets/3d-feng/reference-03.pngasset1,039,239 bytes
  • assets/style-presets/caihui-feng/reference-01.pngasset495,391 bytes
  • assets/style-presets/caihui-feng/reference-02.pngasset558,097 bytes
  • assets/style-presets/caihui-feng/reference-03.pngasset1,038,685 bytes
  • assets/style-presets/figure-feng/reference-01.pngasset382,449 bytes
  • assets/style-presets/figure-feng/reference-02.pngasset360,155 bytes
  • assets/style-presets/figure-feng/reference-03.pngasset212,528 bytes
  • assets/style-presets/figure-feng/reference-04.pngasset300,147 bytes
  • assets/style-presets/illustration-feng/reference-01.pngasset503,346 bytes
  • assets/style-presets/illustration-feng/reference-02.pngasset759,904 bytes
  • assets/style-presets/illustration-feng/reference-03.pngasset852,129 bytes
  • assets/style-presets/illustration-feng/reference-04.pngasset321,087 bytes
  • assets/style-presets/xian-tiao-feng/reference-01.pngasset248,211 bytes
  • assets/style-presets/xian-tiao-feng/reference-02.pngasset150,173 bytes
  • references/intake-and-style.mddoc3,446 bytes
  • references/plan-mode-wizard.mddoc5,890 bytes
  • references/prompt-patterns.mddoc4,791 bytes
  • references/qa-and-deliverables.mddoc4,013 bytes
  • references/style-presets.mddoc14,446 bytes
Read SKILL.md

# 个人 IP 生成 Skill

## Core Rule

Start with a Plan-Mode-style wizard and ask exactly one material question per assistant turn. Do not generate an image until the user has selected a preset style, the generation profile is complete, and the user has approved the final generation plan.

Treat the selected preset as the style source of truth. Separate identity features from style features before generating. Preserve the person's recognizable anchors while transferring only the preset's approved visual language.

Do not store user portraits inside this skill. Use only images supplied by the user or images the user is authorized to use. Do not infer sensitive attributes such as ethnicity, religion, health, sexuality, or politics from appearance.

## Load References

- Read `references/intake-and-style.md` whenever reference images are supplied, their roles are unclear, inputs conflict, or a text-only brief is incomplete.
- Always read `references/plan-mode-wizard.md` before asking intake questions.
View the complete source on GitHub

Skills included

  • personal-ip-generator

Repository facts

License
MIT
Created
Jul 15, 2026
Last pushed
Jul 15, 2026
Forks
25
Open issues
0
Project activity
Slowing

Before you install

Instructions only

Automated signals, not a guarantee

Checked Nov 7, 2026

Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.

Show 3 notes
  • SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • No broad tool permissions
  • No dangerous shell commands
  • 1 network referencein 1 file: README.md:19
  • No hidden or obfuscated text
  • No instruction overrides
  • No executable scripts
  • No access to secrets
  • No requests to vote in Hot
Show the signal with its line

README.md

  • Network accessline 19
    git clone https://github.com/Gayaya999/personal-ip-generator.git \

How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

Signal confidence: 1 fact
  • Network access in code of documentationREADME.md:19Low confidence

Works with

Agent compatibility, from the files in this repository
AgentStatusEvidenceInstall to
Claude CodeCompatibleStandard SKILL.md SKILL.md.claude/skills/<skill-name>/
CodexCompatibleStandard SKILL.md SKILL.md.agents/skills/<skill-name>/
CursorCompatibleStandard SKILL.md SKILL.md.cursor/skills/<skill-name>/
Gemini CLICompatibleStandard SKILL.md SKILL.md.gemini/skills/<skill-name>/
GitHub CopilotCompatibleStandard SKILL.md SKILL.md.github/skills/<skill-name>/
OpenCodeCompatibleStandard SKILL.md SKILL.md.opencode/skills/<skill-name>/
  • Native The repository ships a manifest, folder or frontmatter field for this agent.
  • Compatible A standard SKILL.md that this agent can read.
  • Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.