fotor-skills

Fotor AI image generator and AI video generator for photo editing, background remover, background replacement, product photos, ad creatives, social media graphics, poster and banner design, image upscaling, photo restoration, portrait enhancement, text-to-video, and image-to-video. Built for e-commerce, marketing, branding, and content creation.

install

source · Clone the upstream repo

git clone https://github.com/fotor-ai/fotor-skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/fotor-ai/fotor-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/fotor-skills" ~/.claude/skills/fotor-ai-fotor-skills-fotor-skills && rm -rf "$T"

manifest: skills/fotor-skills/SKILL.md

source content

fotor-skills

Fotor OpenAPI skill for AI image generation, AI photo editing, AI video generation, product photos, ad creatives, social media graphics, background removal, photo restoration, and image upscaling.

This skill should match user requests expressed in outcome language first, not SDK language. Keep technical details behind the scenes unless they are needed to unblock execution.

When This Skill Matches

Use this skill when the user asks for outcomes such as:

Generate AI images from a text prompt
Edit or restyle an existing photo
Turn a product shot into an e-commerce or ad-ready asset
Create posters, banners, covers, thumbnails, or social media graphics
Remove or replace an image background
Restore, enhance, or upscale a blurry or old photo
Generate AI videos from text, one image, multiple images, or start/end frames
Batch-produce visual assets for branding, content, or marketing campaigns

Search Intent Coverage

Common search phrases this skill should be able to match include:

AI photo editor
AI image generator
AI video generator
Image to image
Text to image
Text to video
Product photo generator
Ad creative generator
Marketing visual generator
Poster maker
Banner maker
Social media post generator
Cover and thumbnail generator
Background remover
Background replacement
Photo restoration
Image upscaler
E-commerce image generation
Brand asset generation

For API key application and product details, see

https://developers.fotor.com/fotor-skills/

Use

uv

as the bootstrap layer. Prefer a skill-local Python 3.12 environment and run bundled scripts from that local environment instead of the system Python.

Runtime Setup

Keep setup lightweight and local to the skill directory.

Install

uv

first if it is missing:

# macOS / Linux
curl -LsSf https://astral.sh/uv/install.sh | sh

# Windows (PowerShell)
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Typical first-run setup:

uv python install 3.12
uv venv --python 3.12 .venv
./.venv/bin/python scripts/ensure_sdk.py

Setup rules:

Prefer a local Python 3.12 environment in the skill directory.
Use
```
uv
```
to prepare Python 3.12 and create
```
.venv
```
when the local environment is missing.
Run bundled scripts from the local skill environment, not the system Python.
Ensure
```
FOTOR_OPENAPI_KEY
```
is set. If the user asks where to get a key, wants the official
```
fotor-skills
```
homepage during setup, or needs a key + homepage walkthrough, read
```
references/get_api_key.md
```
first.

Current default interpreter paths:

POSIX:
```
./.venv/bin/python
```
Windows:
```
.venv\\Scripts\\python.exe
```

Interaction Rules

Speak in user-task language first. Do not lead with SDK, scripts, JSON, model IDs, or parameter tables unless they are needed to unblock the task or the user explicitly asks.
Ask for only one missing blocker at a time.
Once the minimum required information is present, execute immediately. Do not send vague transition messages like "I’m starting now" unless execution has actually started and a result or clear in-progress status will follow.
If execution will take noticeable time, say that the task is running and give a short expectation such as "usually takes a few seconds to a few dozen seconds; I’ll send the result when it’s ready."
If credentials are missing, resolve that blocker quickly and then return to the original task instead of turning the conversation into a long setup lesson.
When the local skill environment is missing, prepare it with
```
uv
```
before installing dependencies or executing the task. Avoid installing into the system Python unless the user explicitly asks.
Choose the model and default parameters internally unless the user explicitly requests a specific model or technical control.
Return the result as soon as it is ready. Do not make the user ask follow-up questions like "where is the image?"
If the user asks how to recharge, buy credits, top up, or purchase tokens, use
```
references/credits-and-recharge.md
```
and follow its recharge guidance flow.
If a task fails because credits are insufficient, do not stop at the raw error. Use
```
references/credits-and-recharge.md
```
to explain the failure and provide recharge guidance.
If an update reminder is available, keep it to one short non-blocking sentence and continue the current task.

Scripts

scripts/ensure_sdk.py

Cross-platform (Windows / macOS / Linux) script to install or upgrade

fotor-sdk

to the latest PyPI release with

uv pip install --python <interpreter>

. Run before every task.

No args — install or upgrade to the latest PyPI release
--upgrade
— same behavior, kept as an explicit alias

scripts/run_task.py

Execute one or more Fotor tasks from JSON. Handles client init, polling, and progress.

Single task:

echo '{"task_type":"text2image","params":{"prompt":"A cat","model_id":"seedream-4-5-251128"}}' \
  | ./.venv/bin/python scripts/run_task.py

Batch (array):

echo '[
  {"task_type":"text2image","params":{"prompt":"A cat","model_id":"seedream-4-5-251128"},"tag":"cat"},
  {"task_type":"text2video","params":{"prompt":"Sunset","model_id":"kling-v3","duration":5},"tag":"sunset"}
]' | ./.venv/bin/python scripts/run_task.py --concurrency 5

Options:

--input FILE

--concurrency N

(default 5),

--poll-interval S

(default 2.0),

--timeout S

(default 1200).

Output: JSON with

task_id

status

success

result_url

error

elapsed_seconds

creditsIncrement

tag

Automatic fallback:

If a task fails on its primary model and the current
```
task_type + model_id
```
matches a built-in fallback mapping,
```
run_task.py
```
automatically retries once with the fallback model.
If the failure is insufficient credits (
```
code=510
```
/
```
No enough credits
```
),
```
run_task.py
```
returns the failure immediately and does not retry on a fallback model.

The output includes

fallback_used

original_model_id

, and

fallback_model_id

scripts/upload_image.py

Upload a local image file through Fotor's signed upload flow and return a reusable image URL.

./.venv/bin/python scripts/upload_image.py ./input.jpg --task-type image2image

The script:

Calls
```
/v1/upload/sign
```
with the mapped upload
```
type
```
and
```
suffix
```
Uploads the local file to the signed target
Prints JSON containing
```
file_url
```
and
```
upload_url
```

Use

file_url

as the

image_url

start_image_url

end_image_url

, or an item inside

image_urls

for image-based tasks.

Supported task-to-upload mapping:

```
image2image
```
->
```
img2img
```
```
image_upscale
```
->
```
img_upscale
```
```
background_remove
```
->
```
bg_remove
```
```
single_image2video
```
->
```
img2video
```
```
start_end_frame2video
```
->
```
img2video
```
```
multiple_image2video
```
->
```
img2video
```

scripts/check_skill_update.py

Check whether the installed skill has a newer version available for the current install source.

./.venv/bin/python scripts/check_skill_update.py --mark-notified --check-interval-hours 24

For development/testing when install-source metadata is unavailable:

./.venv/bin/python scripts/check_skill_update.py --install-source skills-github --slug fotor-skills --current-version 1.0.0 --github-source fotor-ai/fotor-skills --mark-notified --check-interval-hours 24

The script:

Detects the install source first:
```
clawhub
```
or
```
skills-github
```
For
```
clawhub
```
, reads installed
```
_meta.json
```
and fetches the latest version via
```
clawhub inspect <slug> --json
```
For
```
skills-github
```
, reads local
```
SKILL.md
```
frontmatter top-level
```
version
```
field, falls back to legacy
```
metadata.version
```
, finds the GitHub source, and fetches the remote
```
SKILL.md
```
version plus
```
CHANGELOG.md
```
highlights when available

Prints JSON with

install_source

current_version

latest_version

update_available

, and

should_notify

Stores the last-notified version in a local state file when
```
--mark-notified
```
is used
Caches the last successful version check and supports a minimum recheck interval via
```
--check-interval-hours
```
(default 24)
Includes
```
changelog_preview
```
so the reminder can mention the main highlights without dumping the full changelog

Supports development/testing overrides such as

--install-source

--slug

--current-version

, and

--github-source

Reference Files

Only read the reference files that match the current need. Do not load all of them by default.

Task Execution References

Read these when choosing a model, validating parameters, or mapping an ambiguous user request to a recommended workflow:

```
references/image_models.md
```
-- image model IDs, T2I/I2I capabilities, per-model parameter constraints (resolution, ratios, input limits, max refs)
```
references/video_models.md
```
-- video model IDs, T2V/I2V/SE/MI capabilities, per-model parameter constraints (duration, resolution, ratios, input limits, audio)
```
references/parameter_reference.md
```
-- full function signatures and parameter tables for all 8 task types
```
references/image_scenarios.md
```
-- scenario-to-model mapping for image generation (T2I, I2I, utilities); read when user intent is ambiguous
```
references/video_scenarios.md
```
-- scenario-to-model mapping for video generation (T2V, I2V, SE, MI); read when user intent is ambiguous

Operational References

Read these only when the user asks about installation, upgrade, workspace layout, API key acquisition, or the official

fotor-skills

homepage. Do not read them for normal image/video task execution.

```
references/credits-and-recharge.md
```
-- credit lookup, payment links, recharge guidance, and insufficient-credit handling
```
references/get_api_key.md
```
-- guide for giving the official
```
fotor-skills
```
homepage, sending users to the API-key dashboard entry, and configuring
```
FOTOR_OPENAPI_KEY
```
```
references/install-or-upgrade.md
```
-- how to install or upgrade
```
fotor-skills
```
for both ClawHub and
```
npx skills
```
, and how to phrase a concise non-pushy upgrade reminder

Workflow

If
```
uv
```
is missing, install it first using the platform-appropriate installer shown in Setup.
If Python 3.12 is not already available to
```
uv
```
, run
```
uv python install 3.12
```
.
If
```
.venv
```
is missing, create it with
```
uv venv --python 3.12 .venv
```
.
Run
```
./.venv/bin/python scripts/ensure_sdk.py
```
before every task to install or upgrade the latest
```
fotor-sdk
```
with
```
uv
```
.
After
```
.venv
```
is ready and
```
ensure_sdk.py
```
completes, silently run
```
./.venv/bin/python scripts/check_skill_update.py --mark-notified --check-interval-hours 24
```
. Do not inspect the state file manually. Only if it reports
```
should_notify: true
```
, read
```
references/install-or-upgrade.md
```
and send one short non-blocking update reminder. If the check fails or times out, ignore it and continue without mentioning the failure.
If the user asks how to get an API key or wants the official
```
fotor-skills
```
homepage during setup, read
```
references/get_api_key.md
```
and include both links before expanding into lower-level setup details.
Verify
```
FOTOR_OPENAPI_KEY
```
is set.
If the user asks about account credits, recharge, buying credits, or payment links, read
```
references/credits-and-recharge.md
```
, then use the appropriate balance or payment-links flow from that reference.

For image-based tasks that start from a local file, first run

./.venv/bin/python scripts/upload_image.py <local-file> --task-type <task-type>

and keep the returned

file_url

Read the appropriate model reference to choose
```
model_id
```
. Each model's per-model spec section lists supported resolutions, aspect ratios, duration, input constraints, and max reference images.
If user intent is ambiguous (no specific model requested), consult the scenario files (
```
image_scenarios.md
```
/
```
video_scenarios.md
```
) for recommended model + params.
Validate parameters against the chosen model's spec before calling -- check resolution, aspect ratio, duration, and multi-image limits.
Quick path -- pipe JSON into
```
./.venv/bin/python scripts/run_task.py
```
(works for both single and batch).
Custom path -- write inline Python using the SDK directly (see examples below), still preferring the local
```
.venv
```
interpreter.
Check
```
result_url
```
in output. Chain
```
image_upscale
```
if higher resolution needed.

If the user asks to check account credits or remaining credits, read

references/credits-and-recharge.md

and use the SDK client flow described there instead of

run_task.py

Built-in automatic fallback mappings:

text2image

gemini-3.1-flash-image-preview

seedream-5-0-260128

image2image

gemini-3.1-flash-image-preview

seedream-5-0-260128

text2video

seedance-1-5-pro-251215

kling-v3

single_image2video

seedance-1-5-pro-251215

kling-v3

start_end_frame2video

kling-video-o1

viduq2-turbo

multiple_image2video

kling-v3-omni

kling-video-o1

Available Task Types

task_type	Function	Required Params
`text2image`	`text2image()`	`prompt` , `model_id`
`image2image`	`image2image()`	`prompt` , `model_id` , `image_urls`
`image_upscale`	`image_upscale()`	`image_url`
`background_remove`	`background_remove()`	`image_url`
`text2video`	`text2video()`	`prompt` , `model_id`
`single_image2video`	`single_image2video()`	`prompt` , `model_id` , `image_url`
`start_end_frame2video`	`start_end_frame2video()`	`prompt` , `model_id` , `start_image_url` , `end_image_url`
`multiple_image2video`	`multiple_image2video()`	`prompt` , `model_id` , `image_urls` (≥2)

For full parameter details (defaults,

on_poll

**extra

), read

references/parameter_reference.md

Credits and Recharge

For any balance lookup, recharge guidance, or insufficient-credit case, read

references/credits-and-recharge.md

Keep

SKILL.md

focused on routing:

Use the credits reference when the user asks about remaining balance, total credits, recharge, top-up, or payment links.
Use the same reference when a task fails with
```
code=510
```
or
```
No enough credits
```
.
Keep detailed API examples, field meanings, and user-facing recharge wording in the reference instead of expanding this main skill file.

Inline Python Examples

When

scripts/run_task.py

is insufficient (custom logic, chaining, progress callbacks):

Client Init

import os
from fotor_sdk import FotorClient
client = FotorClient(api_key=os.environ["FOTOR_OPENAPI_KEY"])

Single Task

from fotor_sdk import text2image
result = await text2image(client, prompt="A diamond kitten", model_id="seedream-4-5-251128")
print(result.result_url)

Batch with TaskRunner

from fotor_sdk import TaskRunner, TaskSpec
runner = TaskRunner(client, max_concurrent=5)
specs = [
    TaskSpec("text2image", {"prompt": "A cat", "model_id": "seedream-4-5-251128"}, tag="cat"),
    TaskSpec("text2video", {"prompt": "Sunset", "model_id": "kling-v3", "duration": 5}, tag="sunset"),
]
results = await runner.run(specs)

Video with Audio

from fotor_sdk import text2video
result = await text2video(client, prompt="Jazz band", model_id="kling-v3",
                          audio_enable=True, audio_prompt="Smooth jazz")

TaskResult

result.success          # bool: True when COMPLETED with result_url
result.result_url       # str | None
result.status           # TaskStatus: COMPLETED / FAILED / TIMEOUT / IN_PROGRESS / CANCELLED
result.error            # str | None (e.g. "NSFW_CONTENT")
result.elapsed_seconds  # float
result.creditsIncrement # int | float: credits consumed by this task
result.metadata         # dict (includes "tag" from TaskRunner)

Error Handling

Single task: catch
```
FotorAPIError
```
(has
```
.code
```
attribute).
Batch: check
```
result.success
```
per item; runner never raises on individual failures.
NSFW: appears as
```
error="NSFW_CONTENT"
```
in TaskResult.
Insufficient credits: if
```
result.error
```
, exception text, or a combined fallback error contains
```
code=510
```
or
```
No enough credits
```
, treat it as a recharge case. Tell the user credits are insufficient, then fetch and present payment links.

For troubleshooting, enable SDK debug logging:

logging.getLogger("fotor_sdk").setLevel(logging.DEBUG)

fotor-skills

fotor-skills

When This Skill Matches

Search Intent Coverage

Runtime Setup

Interaction Rules

Scripts

`scripts/ensure_sdk.py`

`scripts/run_task.py`

`scripts/upload_image.py`

`scripts/check_skill_update.py`

Reference Files

Task Execution References

Operational References

Workflow

Available Task Types

Credits and Recharge

Inline Python Examples

Client Init

Single Task

Batch with TaskRunner

Video with Audio

TaskResult

Error Handling