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ponyflash

Generate images, videos, speech audio, and music using the PonyFlash Python SDK. Also handle local media editing with FFmpeg, including clip, concat, transcode, extract audio, frame capture, subtitle capability checks, and ASS subtitle prep. Use when the user asks to create, generate, produce, edit, trim, merge, concatenate, transcode, subtitle, or render AI-generated media content.

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PonyFlash Skill

Step 0: Decide Which Capability Path Applies

This skill now contains two capability families:

  1. Cloud generation via PonyFlash Python SDK
  2. image generation
  3. video generation
  4. speech synthesis
  5. music generation
  6. model listing
  7. file management
  8. account / credits
  9. These tasks require a valid PonyFlash API key.
  1. Local media editing via FFmpeg toolchain
  2. ffmpeg / ffprobe detection
  3. installation planning
  4. clip / concat / transcode
  5. extract audio / capture frame
  6. subtitle capability checks
  7. ASS subtitle generation and burn-in workflow
  8. These tasks do NOT require a PonyFlash API key, but they do require local ffmpeg / ffprobe support.

Before doing anything, classify the request:

  • If the user is asking to generate media with PonyFlash models, follow the SDK path and require API key setup.
  • If the user is asking to edit or process local media, follow the FFmpeg path and do dependency checks first.
  • If the user wants an end-to-end production workflow, you may use both: generate assets with PonyFlash, then assemble or export with FFmpeg.

Step 1A: API Key Setup for PonyFlash SDK Tasks

Only do this section when the request needs PonyFlash cloud capabilities.

The FIRST time this skill is activated for a cloud generation task, tell the user the following in your own words:

  1. PonyFlash skill is ready to use.
  2. It can handle:
  3. image generation
  4. video generation
  5. speech synthesis
  6. music generation
  7. local media editing with FFmpeg
  8. For complex multi-step productions, there are Creative Playbooks in the playbooks/ directory.
  9. To use PonyFlash cloud generation, the user needs an API key:
  10. Register / log in at https://www.ponyflash.com
  11. Get API key at https://www.ponyflash.com/api-key (starts with rk_)
  12. Check credits at https://www.ponyflash.com/usage
  13. Paste the key back in the chat

On subsequent SDK activations, check whether PONYFLASH_API_KEY is set in the environment. If not, ask the user for the key again.

Once received, set it up:

export PONYFLASH_API_KEY="rk_xxx"

Then install the SDK:

pip install ponyflash

Always verify the key works before any generation task:

from ponyflash import PonyFlash

pony_flash = PonyFlash(api_key="<key from user>")
balance = pony_flash.account.credits()
print(f"Balance: {balance.balance} {balance.currency}")

If verification fails:

  • Key invalid or missing → direct user to https://api.ponyflash.com/api-key
  • Balance is zero → direct user to https://api.ponyflash.com/usage to top up credits

Step 1B: Local Dependency Setup for FFmpeg Tasks

Only do this section when the request needs local editing, subtitle, or export work.

  1. First check local dependencies:
bash "{baseDir}/scripts/check_ffmpeg.sh"
  1. If the task involves subtitles, do capability checks, not just existence checks:
bash "{baseDir}/scripts/check_ffmpeg.sh" --require-subtitles-filter
  1. If ffmpeg / ffprobe or required filters are missing:
  2. Tell the user what is missing.
  3. Ask whether the user wants platform-appropriate FFmpeg installation guidance.
  4. After the user installs FFmpeg, rerun the dependency checks before continuing.

What this Skill Can Do

| Capability | Resource | Description | |---|---|---| | Image generation | pony_flash.images | Text-to-image, image editing with mask/reference images | | Video generation | pony_flash.video | Text-to-video, first-frame-to-video, OmniHuman, Motion Transfer | | Speech synthesis | pony_flash.speech | Text-to-speech with voice cloning, emotion control, speed, pitch | | Music generation | pony_flash.music | Text-to-music with lyrics, style, instrumental mode, continuation | | Model listing | pony_flash.models | List available models, get model details and supported modes | | File management | pony_flash.files | Upload, list, get, delete files | | Account | pony_flash.account | Check credit balance, get recharge link | | Local media editing | scripts/media_ops.sh | Clip, concat, transcode, extract audio, frame capture | | FFmpeg environment checks | scripts/check_ffmpeg.sh | Detect ffmpeg / ffprobe and subtitle capabilities | | Subtitle font prep | scripts/ensure_subtitle_fonts.sh | Keep a reusable local copy of the default subtitle font when explicitly requested | | ASS subtitle prep | scripts/build_ass_subtitles.py | Adaptive ASS subtitle generation with pre-wrapping |

Creative Playbooks (production workflows)

The playbooks/ directory contains Creative Playbooks — step-by-step production workflow guides for specific content types. Playbooks act as a director layer: they tell you what to create and in what order, while this SKILL.md tells you how to execute generation and editing.

When to use a playbook

  1. User explicitly requests a playbook by name → Read the corresponding file from playbooks/ and follow its workflow.
  2. User asks to see available playbooks → Read [playbooks/INDEX.md](playbooks/INDEX.md) and display the full list.
  3. User's request is clearly a multi-step production task → Suggest a matching playbook from [playbooks/INDEX.md](playbooks/INDEX.md) and ask whether to use it.
  4. User's request is a single-step generation or editing task → Proceed directly with the relevant SDK or FFmpeg capability. No playbook needed.

How to execute a playbook

Once a playbook is loaded:

  • Follow its workflow (asset prep → content generation → voice / music → editing → output).
  • Use PonyFlash SDK for generation tasks and FFmpeg scripts for local assembly / export tasks.
  • Confirm key creative decisions with the user before expensive generation.
  • Adapt prompts, durations, output format, and export strategy to the user's actual goal.

Creating custom playbooks

When the user asks to create a new playbook, generate a markdown file in playbooks/ following this template:

---
name: Playbook Name
description: One-line summary of what this playbook produces
tags: [keyword1, keyword2, keyword3]
difficulty: beginner | intermediate | advanced
estimated_credits: credit range estimate
output_format: format description (e.g., "vertical 9:16 MP4")
---

# Playbook Name

## Use Cases
When to use this playbook.

## Workflow
### Step 1: Asset Preparation
What the user needs to provide; how to generate missing assets.

### Step 2: Visual Content Generation
Which models to use, recommended parameters, prompt guidance.

### Step 3: Voice / Music
Speech synthesis + background music guidance.

### Step 4: Editing / Assembly
How to assemble, trim, subtitle, transcode, and export with the local FFmpeg workflow.

### Step 5: Output / Optimization
Render settings, format recommendations.

## Prompt Templates
Reusable prompt examples for this content type.

## Notes
Best practices, common pitfalls.

After creating the file, update [playbooks/INDEX.md](playbooks/INDEX.md) to include the new playbook.

PonyFlash SDK Core Concepts

Client initialization

from ponyflash import PonyFlash

pony_flash = PonyFlash(api_key="rk_xxx")

Reads PONYFLASH_API_KEY from environment if api_key is omitted.

FileInput — zero-friction file handling

All file parameters accept any of these types:

| Input type | Example | Behavior | |---|---|---| | URL string | "https://example.com/photo.jpg" | Passed directly to API | | file_id string | "file_abc123" | Passed directly to API | | Path object | Path("photo.jpg") | Auto-uploaded via presigned URL | | open() file | open("photo.jpg", "rb") | Auto-uploaded via presigned URL | | bytes | image_bytes | Auto-uploaded via presigned URL | | (filename, bytes) tuple | ("photo.jpg", data) | Auto-uploaded with filename |

Temp uploads are cleaned up automatically after generate() completes.

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