Skill profile

seedream-image

Generates Seedream 5.0/4.0 (即梦AI) image prompts and can call the API to generate images and...

What this skill does for you

Generates Seedream 5.0/4.0 (即梦AI) image prompts and can call the API to generate images and auto-download to output/. Workflow: describe idea → agent outputs prompt for review → user confirms → agent runs generate.py. Covers text-to-image, image editing, multi-image fusion, character consistency, knowledge cards, posters, PPT backgrounds, e-commerce, avatars, group/storyboard. Use when the user mentions seedream, 即梦, jimeng, AI生图, 文生图, 图生图, seedream prompt, 提示词, 一键生图, knowledge card, poster design, 海报, 电商图, 角色一致性, or image generation.

Quoted from the skill description in the pinned source

Who made it

Publisherppdbxdawj

Repositoryai-skills

Installs299as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the seedream-image skill from ppdbxdawj/ai-skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: bef9a4686fbde0413783bbea57404888750ffed2. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: bef9a4686fbde0413783bbea57404888750ffed2. Raw findings: 5. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: bef9a4686fbde0413783bbea57404888750ffed2. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/ppdbxdawj/ai-skills
Pinned skill file: View source at revision
Revision: bef9a4686fbde0413783bbea57404888750ffed2
Package hash: sha256:a5d059e2c76c01ef417a3fe4f4b98559b7e44b25507db5b16eb7b0468f235420
Licence: MIT