agentsclimarketplace
Sign in

Media streaming

Skill sairam0424/MindForge/.mindforge/skills/media-streaming

MindForge: The Enterprise Agentic Framework for Claude Code & Antigravity. High-performance autonomous execution, wave-parallelism, and multi-tier governance for production-grade AI engineering.From the repository description

Install
npx -y skills add sairam0424/MindForge --skill media-streaming

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

5.1 KB, ~1.1k tokens by cl100k_base, as published. Nobody here has run it

Skill — Media Streaming

When this skill activates

This skill activates when building video/audio streaming platforms, transcoding pipelines, adaptive bitrate delivery (HLS/DASH), DRM content protection, live streaming systems, CDN integration, or video-on-demand (VOD) architectures.

Mandatory actions when this skill is active

Before writing any code

  1. Design transcoding pipeline: ingest source video (MP4, MOV, AVI) → extract metadata (resolution, bitrate, codec, duration) → transcode to multiple renditions (4K/1080p/720p/480p/360p), audio tracks (AAC 128kbps stereo), generate HLS/DASH manifests (.m3u8/.mpd), output to object storage (S3), with job queue (SQS) and status webhooks
  2. Model adaptive bitrate delivery: client requests master playlist (m3u8) → server returns variant streams (bitrate ladder: 8 Mbps, 5 Mbps, 2.5 Mbps, 1 Mbps, 500 kbps) → client measures bandwidth → switches to appropriate quality → seamless transition without buffering
  3. Map DRM content protection workflow: encrypt video segments (AES-128 or CBCS), generate license keys (Widevine, FairPlay, PlayReady), store keys in key server, client requests license → key server validates entitlement (subscription active, geo-restrictions) → returns decryption key → client decrypts and plays

During implementation

  • Implement transcoding with FFmpeg or cloud services (AWS MediaConvert, Azure Media Services): configure encoding ladder (GOP size 2s, H.264 High profile, AAC audio), generate thumbnails (every 10s), extract VTT subtitles, optimize for web (moov atom at start for MP4), enable hardware acceleration (GPU encoding for faster processing)
  • Build HLS/DASH streaming with segmentation: split video into 6-second segments (TS for HLS, MP4 for DASH), generate manifest with variant streams (EXT-X-STREAM-INF for bitrate/resolution), enable discontinuity tags for ad insertion, support live DVR (sliding window of last 2 hours)
  • Design CDN delivery with edge caching: upload to origin (S3 bucket), configure CloudFront distribution, set TTL policies (video segments: 7 days, manifests: 60s for VOD, 5s for live), enable signed URLs for protected content (expire after 2 hours), use geo-restriction for licensing compliance
  • Implement DRM integration: encrypt video during transcoding (specify key ID), integrate with key server (AWS SPEKE, Axinom, BuyDRM), client-side DRM initialization (Shaka Player for DASH, hls.js with EME for HLS), handle license renewal (for long-form content >2 hours), support offline downloads with persistent licenses
  • Build player analytics: track playback events (video_start, video_pause, video_complete, error, buffering), measure quality metrics (startup time, rebuffering ratio, bitrate distribution), aggregate by user/video/device, identify issues (high rebuffering on specific ISP, low bitrate selection on mobile)

After implementation

  • Validate streaming quality: measure startup latency (<2s for 90th percentile), rebuffering ratio (<1% of playback time), bitrate adaptation responsiveness (switch within 10s of bandwidth change), A/V sync (<200ms drift), and seek accuracy (land within 500ms of target time)
  • Test DRM enforcement: attempt playback without valid license (should fail), expired license (should prompt re-authentication), screen recording detection (Widevine L1 blocks HDMI capture on Android), device limit enforcement (max 3 concurrent streams per account)
  • Execute load testing for live streams: simulate 10K+ concurrent viewers, measure origin-to-edge latency (should be <3s for live), segment availability (all segments delivered before next segment starts), CDN cache hit ratio (>95% after warm-up), and origin load (offloaded to CDN)

Self-check before task completion

  • Transcoding pipeline functional: ingest source video, transcode to multiple renditions (4K to 360p), generate HLS/DASH manifests, output to object storage
  • Adaptive bitrate streaming: bitrate ladder defined (8 Mbps to 500 kbps), client switches based on bandwidth, seamless quality transitions
  • DRM content protection: video encrypted (AES-128/CBCS), license server integrated (Widevine/FairPlay/PlayReady), entitlement validation before key delivery
  • CDN delivery optimized: edge caching configured, TTL policies set (long for segments, short for manifests), signed URLs for protected content
  • Player analytics tracked: playback events (start, pause, complete, error), quality metrics (startup time, rebuffering, bitrate), aggregated reports
  • Live streaming supported: real-time segmentation (6s segments), sliding window DVR (last 2 hours), low latency (<3s origin-to-edge)
  • Quality targets met: startup <2s, rebuffering <1%, bitrate adaptation <10s, A/V sync <200ms, seek accuracy <500ms

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most media documents skills give in ~1.1k tokens

Counted across 157 of the 158 authors here whose files we hold, read 2026-08-07

  • Provide posting time recommendationsin 7 of 157, across 5 files
  • Track metrics over time to identify trendsin 6 of 157, across 2 files
  • Read marketing context file before startingin 6 of 157, across 5 files
  • Choose platforms based on audience presencein 6 of 157, across 4 files
  • Adapt tone for each platformin 6 of 157, across 4 files
  • Ensure data completeness before analysisin 5 of 157, across 1 file
  • Compare metrics within same time periodsin 5 of 157, across 1 file
  • Account for platform-specific benchmarksin 5 of 157, across 1 file
  • Separate organic and paid metricsin 5 of 157, across 1 file
  • Include context when interpreting resultsin 5 of 157, across 1 file
  • Keep tweets under 280 charactersin 5 of 157, across 3 files
  • Download top-K results with an attribution sidecarin 5 of 157, across 2 files

Said here and by no other author read

  • design a transcoding pipeline
  • model adaptive bitrate delivery
  • map DRM content protection workflow
  • implement transcoding with FFmpeg or cloud services
  • build HLS or DASH streaming with segmentation
  • design CDN delivery with edge caching

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

Keep looking

Skills are one crate of 326,750. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.