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Coding Agents & IDEs @dktrn9ne Updated 2/26/2026

Mux Video OpenClaw Skill - ClawHub

Do you want your AI agent to automate Mux Video workflows? This free skill from ClawHub helps with coding agents & ides tasks without building custom tools from scratch.

What this skill does

Mux Video infrastructure skill for designing, ingesting, transcoding/packaging, playback ID policy, live streaming, clipping, and observability with Mux Data. Use when architecting or operating Mux-based video pipelines, live workflows, playback security, or diagnosing playback issues.

Install

npx clawhub@latest install mux-video

Full SKILL.md

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namedescription
mux-videoMux Video infrastructure skill for designing, ingesting, transcoding/packaging, playback ID policy, live streaming, clipping, and observability with Mux Data. Use when architecting or operating Mux-based video pipelines, live workflows, playback security, or diagnosing playback issues.

Mux Video (Optimal)

Skill Domain: Video Infrastructure & Delivery
Primary Platform: Mux
Target Level: Senior / Staff / Platform Architect
Philosophy: Video is infrastructure. Reliability beats novelty. Analytics validate reality.


0. Prime Directive

Mux Video exists to deliver video correctly, everywhere, under real-world conditions — not to feel fast in development.

All decisions optimize for:

  • playback reliability
  • predictable latency
  • measurable experience
  • operational sanity

1. Canonical Mental Model

What Mux Video Is

  • Managed video pipeline: ingest → transcode → package → distribute → secure
  • Abstracts FFmpeg complexity, CDN orchestration, ABR logic, and global delivery variance

What Mux Video Is Not

  • A CMS
  • A player
  • A social platform
  • A monetization engine

2. Asset Model (Source of Truth)

Assets

  • Canonical representation of media
  • Immutable once created
  • Represent media, not intent
  • Spawn many playback surfaces

Design Rule

  • One asset → many experiences

Asset Lifecycle

  • Ingest (upload or live record)
  • Transcode
  • Package (HLS / DASH)
  • Expose via Playback IDs
  • Observe via Mux Data

3. Control Planes (Separation of Concerns)

Mux controls:

  • ingest stability
  • transcoding
  • packaging
  • global delivery

You control:

  • identity
  • entitlements
  • playback authorization
  • business rules
  • monetization logic

Failure to respect control planes causes:

  • security leaks
  • brittle playback
  • un-debuggable outages

4. Ingest Strategy (Critical)

On-Demand Ingest

  • File upload (API or direct upload)
  • Deterministic quality
  • Preferred for premium content

Live Ingest

  • RTMP only (by design)
  • Encoder quality determines everything downstream

Live Rule

  • If the encoder is unstable, the stream is already lost

Encoder Best Practices (Non-Negotiable)

  • Constant frame rate
  • GOP ≤ 2s (especially if clipping)
  • Stable bitrate ladder
  • Clean audio track

5. Encoding & Renditions

Mux automatically:

  • Generates adaptive bitrate ladders
  • Selects codecs
  • Tunes for device compatibility

Encoding Truth

  • Mux can’t fix a bad source — only distribute it efficiently

6. Playback IDs (Exposure Layer)

Playback IDs Are Access Keys

  • Define who can watch, for how long, and under what policy
  • Do not modify the asset

Playback Policies

  • public → open access
  • signed → controlled access

Security Rule

  • Secure the Playback ID, not the asset

7. Playback Policy Decision Guide

Use public when:

  • content is free or marketing
  • no revenue or rights risk exists
  • embedding is unrestricted

Use signed when:

  • content is premium
  • playback must expire
  • access is user, geo, or entitlement based
  • clips have monetization value

8. Playback URLs & Delivery

Mux delivers:

  • HLS (.m3u8)
  • DASH (.mpd)
  • Thumbnails
  • Storyboards

Mux handles:

  • CDN selection
  • regional routing
  • device compatibility

Latency Philosophy

  • On-demand → stability > speed
  • Live → latency is a tradeoff curve
  • There is no free low-latency lunch

9. Live Streaming (Operational Reality)

Live is a distributed failure generator. Expect:

  • packet loss
  • dropped frames
  • network variance
  • device heterogeneity

Mux mitigates — it does not eliminate.

Live Best Practices

  • Always auto-record
  • Always monitor ingest
  • Always test encoder profiles
  • Never assume “it’ll be fine”

10. Live Latency Reality

  • Ultra-low latency increases failure sensitivity
  • Lower latency reduces buffer safety
  • Buffering is a reliability feature, not a bug

Choose latency based on:

  • audience tolerance
  • interaction requirements
  • failure cost

11. Asset Clipping (First-Class Skill)

Clipping Model

Clips are derivative assets defined by:

  • source asset
  • start_time
  • end_time

Rules

  • Source asset is immutable
  • Clips are disposable
  • Clips have independent analytics

Why Clipping Matters

  • highlights
  • previews
  • modular content
  • monetization tiers
  • social repurposing

Precision Constraint

Clip accuracy depends on keyframe placement and encoder GOP size. Design accordingly.


12. Player Responsibility Boundary

Mux delivers streams.
The player renders video, reports telemetry, and controls UX.

Rule

  • A bad player can sabotage a perfect pipeline

13. Observability Hook (Mux Data Dependency)

Mux Video without Mux Data is a blind system.

Requirement

Every production playback must:

  • report sessions
  • surface QoE metrics

No exceptions.


14. Observability Escalation Ladder

  1. Playback failure rate increase
  2. Startup time regression
  3. Rebuffer ratio spike
  4. Device or browser correlation
  5. Region-specific anomalies
  6. Ingest window correlation

If you start debugging elsewhere, you’re guessing.


15. Operational Playbooks

Playback Issues

  • Validate playback ID
  • Check startup time
  • Inspect error rates
  • Segment by device and browser
  • Correlate with ingest timing

Live Stream Failure

  • Inspect encoder logs
  • Validate RTMP stability
  • Compare bitrate ladder output
  • Check regional impact
  • Fallback to recording

16. Anti-Patterns

  • Treating assets like content objects
  • Editing video “in Mux”
  • Ignoring encoder configuration
  • Using public playback IDs for premium content
  • Shipping unobserved video

17. Cost Reality

Mux optimizes delivery cost.

You control:

  • asset volume
  • clip proliferation
  • playback duration
  • entitlement abuse

Unbounded playback equals silent spend.


18. Scaling Model

Mux scales:

  • ingest
  • transcoding
  • delivery

You scale:

  • auth
  • identity
  • entitlements
  • metadata
  • business logic

Mux provides delivery truth.
OpenClaw provides ownership, rights, access, and monetization intelligence.


19. Operational Fluency Signals

You’ve mastered Mux Video when you can:

  • diagnose playback failures from metrics alone
  • design live streams for failure tolerance
  • atomize long-form content into clips at scale
  • secure playback without user friction
  • treat video as infrastructure, not media

20. Extension Points (Next Skills)

  • Mux Data (deep analytics)
  • Live highlight automation
  • Signed playback architectures
  • Clip-to-revenue attribution
  • AI-driven QoE optimization
Original URL: https://github.com/openclaw/skills/blob/main/skills/dktrn9ne/mux-video

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