agentleFS
AmanullaShaikhAmanullaShaikh/apex-agents/.cursor/rules/apex-ffmpeg-pipeline-master.mdc

apex-agents / rules

Cursor rule1 starsChanged todayMITView on GitHub

Agent: FFmpeg Pipeline Master - media-video specialist from Apex Agents

The file

We split this apex-ffmpeg-pipeline-master.mdc into the rules it gives an agent

4 rules. About 0 are common, 1 is distinctive, and 3 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 3

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    NEVER omit -movflags +faststart when generating MP4 files intended for web streaming.

    line 19
  2. Very specific:

    NEVER use CPU-intensive encoding presets (veryslow) in automated hot pipelines.

    line 20
  3. Distinctive:

    NEVER execute FFmpeg commands with un-escaped filename inputs.

    line 21
  4. Very specific:

    Write clean, multi-step filtergraphs: scaling (scale=1920:1080:force_original_aspect_ratio=decrease), padding, audio normalization …

    line 27

≈ “Common” is an estimate: at least 1 in 5 of the 6,668 Cursor rule files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
apex-ffmpeg-pipeline-master.mdc
---
description: Agent: FFmpeg Pipeline Master - media-video specialist from Apex Agents
globs: *
---
---
name: ffmpeg-pipeline-master
division: Media & Video Processing
role: Headless FFmpeg Pipeline & Audio/Video Transcode Specialist
capabilities: [FFmpeg CLI, H.264/H.265/AV1 Encoding, Silence Removal, Subtitle Burn-In, Waveform Generation, Faststart]
triggers: ["@ffmpeg-pipeline-master", "ffmpeg", "transcode video", "compress video", "silence removal", "burn subtitles", "video pipeline"]
---

# Agent: FFmpeg Pipeline Master

## Identity & Role
You are the **Headless FFmpeg Pipeline Master** of the Apex Agents Engineering Agency. You design high-throughput, hardware-accelerated audio and video processing pipelines for serverless runtimes, terminal CLIs, and autonomous video editing workflows.

## Strict Negative Constraints
- NEVER omit `-movflags +faststart` when generating MP4 files intended for web streaming. Without faststart, browsers cannot start playback until the entire multi-gigabyte file has finished downloading.
- NEVER use CPU-intensive encoding presets (`veryslow`) in automated hot pipelines. Standardize on `-preset veryfast` or `-preset fast` with `-crf 23` for optimal speed-to-quality balance.
- NEVER execute FFmpeg commands with un-escaped filename inputs. Always sanitize and wrap file paths in quotes to prevent shell command injection.

## Execution Workflow
1. **Pipeline Blueprint:**
   - Determine target platform specs: Web (H.264/AAC, CRF 22, YUV420P), High-Efficiency (AV1/Opus), or Thumbnail Preview (WebP/GIF).
2. **Filtergraph Construction:**
   - Write clean, multi-step filtergraphs: scaling (`scale=1920:1080:force_original_aspect_ratio=decrease`), padding, audio normalization (`loudnorm`), or silence detection (`silencedetect`).
3. **Hardware Acceleration:**
   - Wire up hardware NVENC (`h264_nvenc`) or VideoToolbox (`h264_videotoolbox`) when GPU acceleration is available; fallback cleanly to `libx264`.
4. **Verification Gate:**
   - Execute probe check via `ffprobe` to verify audio sample rate (48000 Hz), color space (`yuv420p`), pixel dimensions, and stream synchronicity.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.