Klingai Style Transfer

What it does

When your agent uses it

• Creating stylized content
• Using effects API
• With phrases like klingai style
• Kling ai effects

Example prompts

• “klingai style”
• “kling ai effects”
• “klingai artistic video”
• “/klingai-style-transfer”

Requirements

• Python 3
• A credential in KLING_ACCESS_KEY
• A credential in KLING_SECRET_KEY
• Compatibility (from SKILL.md): Designed for Claude Code
• Pre-approved tools (allowed-tools): Read, Write, Edit, Bash(npm:*), Grep

Workflow steps

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

1. 1Use only approved style references and a watermarked sandbox canary; reject living-artist imitation requests, private materials, and…
2. 2Verify reference rights, policy outcome, model/mode, duration, credit estimate, and draft destination before submission.
3. 3Review the canary for attribution, policy, and quality; cancel and remove it on rights, policy, or budget drift rather than publishing it.
4. 4Promote only after owner approval and retain a redacted receipt with removal at the approved retention boundary.

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves these tools, so the agent can use them without asking each time:

  • Read
  • Write
  • Edit
  • Bash(npm:*)
  • Grep

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  No scripts in the folder and no shell commands in SKILL.md (its code samples are python).

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

• Network

  Hosts in commands or code, which the agent is likely to contact:

  • api.klingai.com

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

• Credentials

  Names these keys or tokens, usually read from environment variables:

  • KLING_ACCESS_KEY
  • KLING_SECRET_KEY

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

• Compatibility

  Designed for Claude Code

  From compatibility in the SKILL.md frontmatter.

Context cost

Klingai Style Transfer loads about 1.8k tokens when it runs, and up to ~4.1k if it reads all its reference files. Until then it costs about 66 tokens; SKILL.md has 431 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~66

When it runs · the whole SKILL.md, loaded when a task matches

~1.8k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~4.1k

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

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 jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 431 words, ~1,815 tokens.

name

klingai-style-transfer

description

Apply artistic styles and visual effects to Kling AI video generation. Use when creating stylized content or using effects API. Trigger with phrases like 'klingai style', 'kling ai effects', 'klingai artistic video', 'stylize klingai video'.

allowed-tools

Read, Write, Edit, Bash(npm:*), Grep

compatibility

Designed for Claude Code

version

1.18.0

license

MIT

author

Jeremy Longshore <jeremy@intentsolutions.io>

tags

saas, kling-ai, style-transfer, effects

import jwt, time, os, requests

BASE = "https://api.klingai.com/v1"

def get_headers():
    ak, sk = os.environ["KLING_ACCESS_KEY"], os.environ["KLING_SECRET_KEY"]
    token = jwt.encode(
        {"iss": ak, "exp": int(time.time()) + 1800, "nbf": int(time.time()) - 5},
        sk, algorithm="HS256", headers={"alg": "HS256", "typ": "JWT"}
    )
    return {"Authorization": f"Bearer {token}", "Content-Type": "application/json"}

# Style: Studio Ghibli watercolor
response = requests.post(f"{BASE}/videos/text2video", headers=get_headers(), json={
    "model_name": "kling-v2-6",
    "prompt": "A cozy cottage in a meadow, hand-painted watercolor style, "
              "soft pastel colors, Studio Ghibli aesthetic, gentle breeze",
    "negative_prompt": "photorealistic, harsh lighting, dark, gritty",
    "duration": "5",
    "mode": "professional",
    "cfg_scale": 0.7,  # higher = stricter prompt adherence
})

# Apply an effect to an image
response = requests.post(f"{BASE}/videos/effects", headers=get_headers(), json={
    "model_name": "kling-v1-6",
    "image": "https://example.com/portrait.jpg",
    "effect_type": "hug",           # effect to apply
    "duration": "5",
    "mode": "standard",
})

task_id = response.json()["data"]["task_id"]
# Poll for result as usual

# Generate styled image with Kolors
image_response = requests.post(f"{BASE}/images/kolors", headers=get_headers(), json={
    "prompt": "A cyberpunk city street, neon signs, rain-slicked roads",
    "aspect_ratio": "16:9",
    "imageCount": 1,
})

# Then use the generated image as input for I2V
image_url = image_response.json()["data"]["images"][0]["url"]
video_response = requests.post(f"{BASE}/videos/image2video", headers=get_headers(), json={
    "model_name": "kling-v2-1",
    "image": image_url,
    "prompt": "Camera slowly pushes forward through the rain, neon reflections",
    "duration": "5",
    "mode": "professional",
})

# Use a consistent style template for all clips in a project
STYLE_TEMPLATE = {
    "suffix": ", cinematic lighting, 35mm film grain, warm color grading, "
              "anamorphic lens flare, shallow depth of field",
    "negative": "cartoon, anime, painting, illustration, CGI, digital art",
    "cfg_scale": 0.6,
    "model": "kling-v2-6",
    "mode": "professional",
}

def styled_generation(scene_prompt: str):
    return requests.post(f"{BASE}/videos/text2video", headers=get_headers(), json={
        "model_name": STYLE_TEMPLATE["model"],
        "prompt": scene_prompt + STYLE_TEMPLATE["suffix"],
        "negative_prompt": STYLE_TEMPLATE["negative"],
        "cfg_scale": STYLE_TEMPLATE["cfg_scale"],
        "duration": "5",
        "mode": STYLE_TEMPLATE["mode"],
    })

© jeremylongshore, 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 5 other files (references) in skills/.curated/klingai-style-transfer of jeremylongshore/tons-of-skills-marketplace.

• SKILL.md
• references/brand-style-consistency.md
• references/errors.md
• references/examples.md
• references/style-reference-from-image.md
• references/style-transfer-implementation.md

Open the folder on GitHubat commit cfae287