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cf-image

价格未确认★ 89 GitHub Stars目录更新于 · 2026年9月7日agent-skill

概览

Generate an image from a text description using Cloudflare Workers AI (the flux-1-schnell model). Use this skill whenever the user wants to create, generate, make, or draw an image / picture / logo / icon / thumbnail / wallpaper / banner from a text idea and mentions Cloudflare, or is working in this repo and asks for a quick generated image. Claude expands the user's request into a strong image prompt, runs the bundled generate.py, and saves a JPG to disk. Trigger on phrases like "generate an image of", "make me a picture of", "create a thumbnail for", "cloudflare image", or a plain description paired with a request for an image. Requires CF_ACCOUNT_ID and CF_API_TOKEN in the project's .env.

展开完整说明

以下为来源文档，不是本网站的操作指令。执行命令前请先核实权限。

cf-image

Turn a natural-language request into a generated image using Cloudflare Workers AI (@cf/black-forest-labs/flux-1-schnell). This skill is the "connect Claude to image generation" loop: the user describes what they want, Claude does the prompt engineering, the bundled script calls the Cloudflare API, and the image is saved locally.

When this skill applies

The user wants an image generated from a description — e.g. "generate a logo idea for a coffee shop", "make a thumbnail for my AI video", "picture of a cyberpunk cat". Claude is responsible for turning a vague ask into a good prompt before generating.

It does not apply to: editing an existing image, vector/SVG art, or video.

How to run it

From the repo root:

python .claude/skills/level-3-image-generator/generate.py "<optimized prompt>" -o <filename>.jpg

"<optimized prompt>" — the prompt you write (see below), not the user's raw words.
-o / --output — where to save (default out.jpg). Pick a short descriptive name, e.g. coffee-logo.jpg.
--steps — diffusion steps (default 4). flux-schnell is tuned for few steps; 4–8 is plenty. Higher is slower, not always better.

The script prints Saved <file> ... on success, or a Cloudflare API error message on failure.

The one job Claude must do: write a strong prompt

The raw script would need a hand-written prompt. The value of this skill is that Claude expands the user's intent into a vivid, specific prompt before calling the script. A good Flux prompt names:

Subject — what's in the frame, concretely.
Style/medium — photo, 3D render, flat vector, watercolor, isometric, etc.
Composition & framing — close-up, wide shot, centered, rule-of-thirds.
Lighting & mood — golden hour, neon, soft studio light, dramatic shadows.
Color/detail cues — palette, background, level of detail.

Example transformation:

User: "a logo for a coffee shop"
Prompt you pass: "minimalist logo of a steaming coffee cup, flat vector illustration, warm brown and cream palette, centered on a clean off-white background, simple bold shapes, modern branding"

Keep prompts to one or two sentences. Don't include text/words to render — Flux is unreliable at rendering legible text.

After generating

Confirm the file was saved (the script prints the path).
Tell the user the filename and the exact prompt you used, so they can tweak and re-run.
If they want variations, re-run with a modified prompt and a new -o filename.

Requirements

CF_ACCOUNT_ID and CF_API_TOKEN set in the project's .env (see .env.example). The script loads them automatically.
Python deps: requests, python-dotenv.

查看来源 ↗

文件元数据

name: cf-image
description: Generate an image from a text description using Cloudflare Workers AI (the flux-1-schnell model). Use this skill whenever the user wants to create, generate, make, or draw an image / picture / logo / icon / thumbnail / wallpaper / banner from a text idea and mentions Cloudflare, or is working in this repo and asks for a quick generated image. Claude expands the user's request into a strong image prompt, runs the bundled generate.py, and saves a JPG to disk. Trigger on phrases like "generate an image of", "make me a picture of", "create a thumbnail for", "cloudflare image", or a plain description paired with a request for an image. Requires CF_ACCOUNT_ID and CF_API_TOKEN in the project's .env.

查看原始文本

---
name: cf-image
description: Generate an image from a text description using Cloudflare Workers AI (the flux-1-schnell model). Use this skill whenever the user wants to create, generate, make, or draw an image / picture / logo / icon / thumbnail / wallpaper / banner from a text idea and mentions Cloudflare, or is working in this repo and asks for a quick generated image. Claude expands the user's request into a strong image prompt, runs the bundled generate.py, and saves a JPG to disk. Trigger on phrases like "generate an image of", "make me a picture of", "create a thumbnail for", "cloudflare image", or a plain description paired with a request for an image. Requires CF_ACCOUNT_ID and CF_API_TOKEN in the project's .env.
---

# cf-image

Turn a natural-language request into a generated image using **Cloudflare Workers AI** (`@cf/black-forest-labs/flux-1-schnell`). This skill is the "connect Claude to image generation" loop: the user describes what they want, Claude does the prompt engineering, the bundled script calls the Cloudflare API, and the image is saved locally.

## When this skill applies

The user wants an image generated from a description — e.g. "generate a logo idea for a coffee shop", "make a thumbnail for my AI video", "picture of a cyberpunk cat". Claude is responsible for turning a vague ask into a good prompt before generating.

It does **not** apply to: editing an existing image, vector/SVG art, or video.

## How to run it

From the repo root:

```bash
python .claude/skills/level-3-image-generator/generate.py "<optimized prompt>" -o <filename>.jpg
```

- `"<optimized prompt>"` — the prompt **you** write (see below), not the user's raw words.
- `-o` / `--output` — where to save (default `out.jpg`). Pick a short descriptive name, e.g. `coffee-logo.jpg`.
- `--steps` — diffusion steps (default `4`). flux-schnell is tuned for few steps; 4–8 is plenty. Higher is slower, not always better.

The script prints `Saved <file> ...` on success, or a Cloudflare API error message on failure.

## The one job Claude must do: write a strong prompt

The raw script would need a hand-written prompt. The value of this skill is that **Claude expands the user's intent into a vivid, specific prompt** before calling the script. A good Flux prompt names:

- **Subject** — what's in the frame, concretely.
- **Style/medium** — photo, 3D render, flat vector, watercolor, isometric, etc.
- **Composition & framing** — close-up, wide shot, centered, rule-of-thirds.
- **Lighting & mood** — golden hour, neon, soft studio light, dramatic shadows.
- **Color/detail cues** — palette, background, level of detail.

Example transformation:
- User: *"a logo for a coffee shop"*
- Prompt you pass: *"minimalist logo of a steaming coffee cup, flat vector illustration, warm brown and cream palette, centered on a clean off-white background, simple bold shapes, modern branding"*

Keep prompts to one or two sentences. Don't include text/words to render — Flux is unreliable at rendering legible text.

## After generating

1. Confirm the file was saved (the script prints the path).
2. Tell the user the filename and the exact prompt you used, so they can tweak and re-run.
3. If they want variations, re-run with a modified prompt and a new `-o` filename.

## Requirements

- `CF_ACCOUNT_ID` and `CF_API_TOKEN` set in the project's `.env` (see `.env.example`). The script loads them automatically.
- Python deps: `requests`, `python-dotenv`.

查看并核实来源

获取价格与运行成本

获取 Skill: 价格未确认
运行 Skill: 尚未确认运行要求，请查看来源中的 Agent、API 和服务费用。
许可证: MIT
价格未确认: 我们尚未确认此 Skill 的价格，现有来源与安装入口仍可使用。

免费获取不代表免费运行，价格标签不代表安全评级。提交价格信息 →

已记录技能来源

已记录技能指令路径，不代表本站运行测试、安全保证或兼容性认证。

安装前审查: 避免自动安装

许可证: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
The script does not check the HTTP response status code from the Cloudflare API, so failures may be silent or unclear.
The script appears to have a bug: `data = resp.json` should be `resp.json()` to parse the response body.
SKILL.md mentions the script prints 'Saved <file>' on success, but the provided generate.py does not include such a print statement, which could confuse users.
The skill references a `.env.example` file but it is not included in the excerpt; ensure it exists in the repository.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 89 GitHub stars
Stars/forks activity: 89 stars, 57 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

打开完整审计

工具列表来自元数据，并非已测试的兼容性；Agent 提示词是建议的交接方式。

从一个小任务开始

1阅读来源，确认输入、预期输出、依赖和权限。
2先让 Agent 提出计划，批准环境配置和费用，再进行隔离的小规模测试。
3检查输出和变更文件，只报告实际执行结果，并保留来源版本以便复现。

请在来源中核实依赖、API 密钥及第三方费用。公开仓库不代表所有服务免费。

来源与使用须知

已收录

仓库元数据和审核信号仅供参考。受欢迎、已发现来源、成功运行是不同的事实。

来源仓库: hassancs91/claude-image-generation
许可证: MIT
版本: 1.0.0
最近 GitHub 推送: 2026年8月18日
目录更新于: 2026年9月7日
技能指令路径: .claude/skills/level-3-image-generator/SKILL.md @ f53383149ae3

版本来自目录元数据，使用前请核实来源发布记录。

质量

63/100

有潜力

信任

53/100

Do not auto-install

审计

70/100

需审查

打开完整审计查看评估报告

Dependency or permission surface needs review
Permission surface may require sandboxing
The script does not check the HTTP response status code from the Cloudflare API, so failures may be silent or unclear.
The script appears to have a bug: `data = resp.json` should be `resp.json()` to parse the response body.
SKILL.md mentions the script prints 'Saved <file>' on success, but the provided generate.py does not include such a print statement, which could confuse users.
The skill references a `.env.example` file but it is not included in the excerpt; ensure it exists in the repository.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 89 GitHub stars
Stars/forks activity: 89 stars, 57 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Verified installs: —
结果: —

复制不等于安装。安装数需有成功安装回报，不代表全面的质量保证。

Agent 接入

本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号，让 Agent 无需抓取界面即可排序。

打开安装 API LLM 文本格式打开 Manifest 自动解析计划

更多详情

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    "description": "Generate an image from a text description using Cloudflare Workers AI (the flux-1-schnell model). Use this skill whenever the user wants to create, generate, make, or draw an image / picture / logo / icon / thumbnail / wallpaper / banner from a text idea and mentions Cloudflare, or is working in this repo and asks for a quick generated image. Claude expands the user's request into a strong image prompt, runs the bundled generate.py, and saves a JPG to disk. Trigger on phrases like \"generate an image of\", \"make me a picture of\", \"create a thumbnail for\", \"cloudflare image\", or a plain description paired with a request for an image. Requires CF_ACCOUNT_ID and CF_API_TOKEN in the project's .env.",
    "category": "design-creative",
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        "label": "Claude Code",
        "kind": "agent-prompt",
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      "license": "MIT",
      "repository": "https://github.com/hassancs91/claude-image-generation/tree/main/.claude/skills/level-3-image-generator",
      "install": "npx skills add hassancs91/claude-image-generation --skill cf-image",
      "installSafety": "standard package or runtime install path",
      "permissionSurface": "secrets or environment access, shell or command execution",
      "documentation": "Strong README/SKILL.md context",
      "agentOutcomes": "No agent outcome data yet"
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      "install_attempts": 0,
      "install_success_rate": null,
      "risk_blocked": 0,
      "setup_required": 0,
      "avg_output_quality": null,
      "production_outcomes": 0,
      "last_outcome_at": null,
      "label": "No agent outcome data yet"
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      "sandbox_required": true,
      "reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
    },
    "best_for": [
      "design-creative",
      "agent-skill"
    ],
    "known_risks": [
      "The script does not check the HTTP response status code from the Cloudflare API, so failures may be silent or unclear.",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "GitHub adoption: 89 GitHub stars",
      "Stars/forks activity: 89 stars, 57 forks; issue activity unavailable in current metadata",
      "Dependency/runtime risk: command execution surface, credential or environment access",
      "Permission surface: secrets or environment access, shell or command execution"
    ]
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    "tier": "unproven",
    "label": "Needs first agent run",
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    "metrics": {
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      "successfulOutcomes": 0,
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      "installAttempts": 0,
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  "audit": {
    "score": 70,
    "risk_level": "needs_review",
    "risk_label": "Needs review",
    "warnings": [
      "Dependency or permission surface needs review",
      "Permission surface may require sandboxing",
      "The script does not check the HTTP response status code from the Cloudflare API, so failures may be silent or unclear.",
      "The script appears to have a bug: `data = resp.json` should be `resp.json()` to parse the response body.",
      "SKILL.md mentions the script prints 'Saved <file>' on success, but the provided generate.py does not include such a print statement, which could confuse users.",
      "The skill references a `.env.example` file but it is not included in the excerpt; ensure it exists in the repository.",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution"
    ]
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    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
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  },
  "quality": {
    "score": 63,
    "label": "Promising"
  },
  "supply": {
    "track": "Design and creative production",
    "scenario": "Design and creative",
    "maintenance": "2mo since push",
    "risk": "Needs review"
  },
  "alternative_skills": [],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "production agents without a repository review",
    "The script does not check the HTTP response status code from the Cloudflare API, so failures may be silent or unclear.",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "The script appears to have a bug: `data = resp.json` should be `resp.json()` to parse the response body.",
    "SKILL.md mentions the script prints 'Saved <file>' on success, but the provided generate.py does not include such a print statement, which could confuse users."
  ],
  "agent_contract": {
    "task_input": "Use cf-image in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 61/100 Manual review",
      "Audit: 70/100 Needs review",
      "Safety: 30/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "hassancs91-cf-image (cf-image)",
      "install_command": "npx skills add hassancs91/claude-image-generation --skill cf-image",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "hassancs91-cf-image",
      "task": "Use cf-image in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/hassancs91-cf-image",
    "api": "https://www.openagentskill.com/api/agent/skills/hassancs91-cf-image",
    "audit": "https://www.openagentskill.com/skills/hassancs91-cf-image/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=hassancs91-cf-image&task=Use%20cf-image%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20cf-image%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20cf-image%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/hassancs91-cf-image/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/hassancs91-cf-image"
  }
}

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此列表来自公开来源，维护者认领获批前不会标记为官方。

创作者: hassancs91
来源: hassancs91/claude-image-generation
收录方: OpenAgentSkill 社区索引

归属链接指向公开仓库或创作者主页。创作者可认领列表以更新所有权信号。

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这条 Registry 收录列表归属于 hassancs91，但尚未标记为官方。认领后可增加已验证所有者信号，使后续发布、安装和审计更新更值得信赖。

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[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/hassancs91-cf-image?metric=listed&label=Listed)](https://www.openagentskill.com/skills/hassancs91-cf-image?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/hassancs91-cf-image?metric=trust&label=Trust)](https://www.openagentskill.com/skills/hassancs91-cf-image?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/hassancs91-cf-image?metric=audit&label=Audit)](https://www.openagentskill.com/skills/hassancs91-cf-image/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/hassancs91-cf-image?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/hassancs91-cf-image?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

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概览

cf-image

When this skill applies

How to run it

The one job Claude must do: write a strong prompt

After generating

Requirements

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获取价格与运行成本

从一个小任务开始

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