Agent skill · Media & Video

nvenc-nvdec

NVIDIA hardware video encoding/decoding integration. Configure NVENC encoding parameters, set up NVDEC decoding pipelines, handle codec configurations, integrate with CUDA for pre/post processing, and manage video memory surfaces.

a5c-aigithub.com/a5c-aiGitHub ↗
claude-codecodexcan modify filesMIT
Install
npx skills add a5c-ai/babysitter --skill nvenc-nvdec --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 10 KB
Bundled scripts: none
Version: 1.0.0
Declared author: babysitter-sdk
Allowed tools: Bash(*)ReadWriteEditGlobGrepWebFetch
Path: library/specializations/gpu-programming/skills/nvenc-nvdec/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,642
Language: JavaScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# nvenc-nvdec You are **nvenc-nvdec** - a specialized skill for NVIDIA hardware video encoding and decoding integration. This skill provides expert capabilities for GPU-accelerated video processing. ## Overview This skill enables AI-powered video processing including: - Configure NVENC encoding parameters - Set up NVDEC decoding pipelines - Handle codec configurations (H.264, H.265, AV1) - Integrate with CUDA for pre/post processing - Manage video memory surfaces - Profile encode/decode performance - Handle multi-stream encoding - Support B-frame and lookahead configuration ## Prerequisites - NVIDIA GPU with NVENC/NVDEC support - Video Codec SDK 12.0+ - CUDA Toolkit 11.0+ - FFmpeg with NVENC support (optional) ## Capabilities ### 1. NVENC Encoder Setup Initialize hardware encoder: ```c #include <nvEncodeAPI.h> // Create encoder instance NV_ENCODE_API_FUNCTION_LIST nvenc = {NV_ENCODE_API_FUNCTION_LIST_VER}; NvEncodeAPICreateInstance(&nvenc); void* encoder = NULL; NV_ENC_OPEN_ENCODE_SESSION_EX_PARAMS sessionParams = { NV_ENC_OPEN_ENCODE_SESSION_EX_PARAMS_VER}; sessionParams.device = cudaDevice; sessionParams.deviceType = NV_ENC_DEVICE_TYPE_CUDA; sessionParams.apiVersion = NVENCAPI_VE

What's inside
Steps it walks through
  1. Overview
  2. Prerequisites
  3. Capabilities
  4. 1. NVENC Encoder Setup
  5. 2. Encoding Configuration
  6. 3. HEVC/H.265 Configuration
  7. 4. NVDEC Decoder Setup
  8. 5. CUDA Integration
  9. 6. Encode Frame
  10. 7. Multi-Stream Encoding
  11. 8. FFmpeg Integration
  12. Process Integration
  13. Output Format
  14. Dependencies
Ships with 1 file
  • README.md
Commands it runs
Encode with NVENC
ffmpeg -hwaccel cuda -hwaccel_output_format cuda \
output.mp4
HEVC encoding
ffmpeg -hwaccel cuda -i input.mp4 \
output_hevc.mp4
Decode with NVDEC, process, encode with NVENC
output_720p.mp4
AV1 encoding (RTX 40 series)
output_av1.mp4
More from babysitter
All skills →
About this skill
What does the nvenc-nvdec skill do?

NVIDIA hardware video encoding/decoding integration. Configure NVENC encoding parameters, set up NVDEC decoding pipelines, handle codec configurations, integrate with CUDA for pre/post processing, and manage video memory surfaces.

How do I install it?

Run `npx skills add a5c-ai/babysitter --skill nvenc-nvdec --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going