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AWS Media Services

AWSOfficialPublished by AWS

  • Skill
  • Tool integration
  • Cloud and DevOps
  • Apache-2.0
  • No issues found

From the author

Designs, deploys, reviews, evaluates, audits, and troubleshoots video streaming workflows across AWS media services (MediaConnect, MediaLive, MediaConvert, MediaPackage v2, MediaTailor, CloudFront). Includes per-service validation rules, cross-service workflow patterns for live streaming, linear channels, VOD pipelines, and live-to-VOD, service-specific troubleshooting, best practices assessment, cost optimization, encoder settings, DRM, SCTE-35 ad insertion, epoch locking, and CDN cache configuration.
— the description by AWS

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill provides a structured framework for managing end-to-end video streaming pipelines using AWS Media Services. It acts as an orchestrator that enforces mandatory rule-loading sequences to ensure configurations adhere to service constraints, security best practices, and performance requirements. It covers the full lifecycle of live, linear, and VOD workflows, including ingest, encoding, packaging, ad insertion, and CDN delivery.

What it does

  • Provides a mandatory dependency-based workflow for building and modifying streaming pipelines.
  • Enforces the loading of specific service rules to prevent configuration errors.
  • Offers a comprehensive troubleshooting guide for cross-service signal chain issues.
  • Includes a discovery checklist to gather requirements before resource deployment.
  • Defines strict startup and shutdown sequences for live streaming events.
  • Provides best practices for cost optimization and resilience in media architectures.

When to use it

  • When building or modifying live, linear, or VOD video streaming workflows.
  • When troubleshooting errors, latency, or sync issues across AWS media services.
  • When auditing existing configurations for compliance or performance optimization.
  • When planning a new media project and needing to understand service dependencies.
  • When configuring complex features like SCTE-35 ad insertion, DRM, or epoch locking.

Advantages

  • Prevents common configuration errors by enforcing dependency-aware resource creation.
  • Ensures compliance with service-specific constraints and security policies.
  • Reduces troubleshooting time by providing structured, service-specific diagnostic paths.
  • Promotes architectural best practices for resilience and cost efficiency.
  • Standardizes the approach to complex media tasks like ad insertion and CDN integration.

Usage examples

“I need to set up a live event workflow using MediaConnect, MediaLive, and MediaPackage. What is the correct order?”
The agent will load the core rules, the live event workflow file, and the relevant service rules, then guide you through the dependency-ordered creation process starting with VPC/IAM, followed by MediaPackage, MediaConnect, and finally MediaLive.
“My MediaLive channel is failing to start and showing pipeline errors. How do I fix it?”
The agent will load the core rules and the MediaLive troubleshooting file, then prompt you to check specific pipeline failover settings and encoder configurations based on the loaded rules.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/aws/aws-media-services/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip aws-media-services.zip -d .agents/skills

Documentation by AWS

AWS Media Services

Use this skill when the user is doing ANY of the following with AWS media services:

  • Building or modifying a video workflow (ingest, encoding, packaging, ad insertion, CDN delivery)

  • Reviewing, evaluating, or auditing an existing or proposed configuration for best practices, compliance, or correctness

  • Troubleshooting errors, alerts, or unexpected behavior

  • Asking questions about service constraints, compatibility rules, encoder settings, IAM policies, security groups, DRM, SCTE-35, caching, scaling, or any other AWS media topic

  • Planning a new workflow and needs to understand requirements, dependencies, or the discovery checklist

  • Optimizing cost, resilience, or performance of an existing workflow

If the user mentions ANY AWS media service by name (MediaConnect, MediaLive, MediaConvert, MediaPackage, MediaTailor) or related concepts (HLS, DASH, CMAF, ABR ladder, SCTE-35, epoch locking, origin shield, CDI, SRT, RTMP, transcode, live streaming, VOD pipeline, ad insertion, SSAI), load this skill.

This file is the orchestrator. It tells you which reference files to load based on the user's task. Do not load all files at once. Load on demand per the routing table below.


MANDATORY FIRST STEP — Read Before Doing Anything Else

STOP. Before you make ANY API call, pull ANY resource configuration, write ANY code, or produce ANY recommendation, you MUST load the required rule files into context. No exceptions. This applies to every task type: building, modifying, evaluating, troubleshooting, or answering questions.

The rule content is split across:

  • references/service-rules-core.md — cross-service compatibility constraints, common agent mistakes, and security considerations. ALWAYS loaded.

  • references/service-rules-encoding.md — shared encoder settings (QVBR, GOP, profiles, quality tuning, deinterlacing). Loaded for any encoding task.

  • references/service-rules-mediaconnect.md

  • references/service-rules-medialive.md

  • references/service-rules-mediaconvert.md

  • references/service-rules-mediapackage.md

  • references/service-rules-mediatailor.md

  • references/service-rules-cloudfront.md

Per-service rule files are loaded conditionally based on which services the query involves. Without the relevant rules loaded, you will produce recommendations based on general knowledge that may contradict the documented rules, flag correct configurations as problems, or miss critical constraints entirely.

Sequence (every time):

  1. Read references/service-rules-core.md — confirm it is in context before proceeding. ALWAYS required.

  2. Determine the task type and consult the Task Routing tables below to identify both the workflow/troubleshooting file AND the per-service rules to co-load.

  3. For ad-hoc questions that don't match a workflow or troubleshooting category: if the user names specific service(s), load those service rule files. If the question is symptom-based or you cannot determine which services are involved, load ALL per-service rule files.

  4. Only then begin resource discovery, API calls, or implementation.

If you find yourself about to call aws medialive describe-channel or similar and you have NOT yet read the core rules file plus the relevant per-service rules, stop and go back to step 1.


Task Routing

Building or modifying a workflow

Determine the workflow type. Load the matching workflow file AND the per-service rules listed in the right column (the core rules file is already loaded from the mandatory first step above).

Workflow typeWorkflow fileService rules to co-load
Live event (ingest → encode → package → deliver)references/workflow-live-event.mdmediaconnect + medialive + encoding + mediapackage + cloudfront (+ mediatailor if ads)
Linear channel (24/7 with schedule, ad insertion)references/workflow-linear-channel.mdmedialive + encoding + mediapackage + mediatailor + cloudfront
VOD pipeline (file-based transcode → package → deliver)references/workflow-vod-pipeline.mdmediaconvert + encoding + mediapackage + cloudfront
Live-to-VOD (live + archive/harvest → VOD transcode)references/workflow-live-event.md + references/workflow-vod-pipeline.mdunion of live event + VOD pipeline
Ad insertion (SSAI/CSAI, MediaTailor scaling)references/workflow-ad-insertion.mdmedialive + encoding + mediapackage + mediatailor + cloudfront
Contribution transport (MediaConnect, SRT, DX, encoders)references/workflow-contribution-distribution.mdmediaconnect + medialive + encoding
Router-based switching (master control, dynamic routing, playout)references/workflow-contribution-distribution.mdmediaconnect + medialive + encoding
Resilience (dual-AZ, dual-region, epoch locking, multi-CDN, ops readiness)references/workflow-resilience-patterns.mdALL (cross-cutting)
Cost optimization (reserved vs on-demand, channel classes, right-sizing)references/workflow-cost-optimization.mdALL (cross-cutting)
Subtitles and accessibility (captions, multi-language, auto-captioning)references/workflow-subtitles-accessibility.mdmedialive + mediaconvert + encoding
Troubleshooting

Load the relevant troubleshooting file(s) for the problem area AND the per-service rules listed in the right column. The core rules file is already loaded from the mandatory first step above. Load only the files needed.

Problem areaTroubleshooting fileService rules to co-load
MediaConnect flow issues, source connectivity, VPC interfaces, MediaConnect Routerreferences/troubleshooting-mediaconnect.mdmediaconnect
MediaLive channel errors, alerts, encoding, pipeline failoverreferences/troubleshooting-medialive.mdmedialive + encoding
MediaPackage ingest failures, manifest issues, access denied, v1→v2 migrationreferences/troubleshooting-mediapackage.mdmediapackage
MediaConvert job failures, codec errors, output issues, automationreferences/troubleshooting-mediaconvert.mdmediaconvert + encoding
MediaTailor ad insertion, ADS issues, SSAI scaling, session managementreferences/troubleshooting-mediatailor.mdmediatailor + medialive + mediapackage + cloudfront
CloudFront origin errors, cache behavior, multi-CDN, Embedded POPs (ePOP)references/troubleshooting-cloudfront.mdcloudfront + mediapackage
Cross-service signal chain (no video, latency, sync, AZ alignment, IAM, failover)references/troubleshooting-pipeline.mdALL
Quick reference

For a quick answer about a specific service's constraints, valid parameter values, or compatibility rules:

  1. references/service-rules-core.md is already loaded (mandatory first step).

  2. If the user names specific service(s) in the query, load those per-service rule files (e.g. references/service-rules-medialive.md).

  3. If the question crosses service boundaries (e.g., MediaPackage→MediaTailor compatibility), the cross-service rules are already in service-rules-core.md.

  4. If you can't determine which services are involved, load ALL per-service rule files.

This includes the following topics:

  • MediaTailor scaling patterns (multi-region, CDN origin shield, prefetch)

  • MediaConnect Router (paired resilient zonal endpoints) and downstream NDI converter caveats

  • Epoch locking and cross-region failover

  • Contribution transport (SRT tuning, Direct Connect sizing, RTP+FEC)

  • Multi-CDN architecture patterns

  • CloudFront advanced patterns (Embedded POPs / ePOP, CF Functions, segment sharding)

  • Operational readiness for live events (capacity planning, KPI baselines)

  • DRM production patterns and MediaPackage v1→v2 migration

  • Audio, HDR, and codec configuration details


Workflow Discovery Checklist

Before creating ANY resources for a new workflow, gather requirements from the user in a fixed order (mode → cost/scale → approach → source → network → encoding → ad insertion → packaging → IAM → VOD-specific). Do not proceed until all required items are answered; later questions depend on earlier answers.

Load references/workflow-discovery-checklist.md for the full ordered question set whenever building or modifying a workflow.

Plan Validation (before presenting to user)

Before presenting a proposed configuration to the user, cross-check against the loaded service rules:

  • Codec/container compatibility (e.g., HEVC requires fMP4, not TS)

  • GOP/segment duration alignment across all ABR rungs

  • Dependency ordering (downstream before upstream)

  • IAM trust policy includes all required service principals + sts:TagSession

  • IAM permissions scoped to specific resource ARNs (no Resource: "*")

  • Security posture (CIDR scoped, OAC configured, no Principal: *)

  • All prerequisite resources included (IAM roles, VPC, MediaPackage channel MUST be in the plan before resources that depend on them)

Do NOT make API calls during this step. This is a rules-based review of the proposed plan against constraints already in context.

Agents MUST NOT skip dependency steps to save time. All prerequisites (IAM, VPC, MediaPackage channel, etc.) MUST be created before resources that reference them. Skipping steps and fixing errors reactively leads to circular troubleshooting loops. Execute the plan in dependency order.


Resource Creation Order

Respect dependency order — a resource must exist before anything that references it (live chain, VOD chain, live-to-VOD addition, and the common flow patterns table).

Load references/resource-creation-order.md for the full dependency chains and flow-pattern table when creating resources.

Startup and Shutdown (Live Only)

Start upstream first and poll each resource to its ready state before proceeding (STARTING ≠ running); shut down in reverse (STOPPING ≠ stopped). Poll on a tight ~5s cadence.

Load references/startup-shutdown.md for the ordered start/stop tables and the polling pattern (including MediaConnect Router lifecycle) when operating a live workflow.

Tooling

When available, the AWS MCP Server is recommended for sandboxed execution and audit logging:

  • AWS MCP Server (aws-mcp-server): AWS API access, Agent SOPs for guided multi-step workflows, and documentation search via search_documentation and read_documentation.

  • AWS IaC MCP Server (aws-iac-mcp-server): CloudFormation template validation, CDK documentation search, CDK code samples, and IaC best practices.

Large response warning: MediaLive describe-channel and MediaPackage list-* calls return very large JSON. Always use --query (JMESPath) to extract only the fields you need.

# Good — extract only what you need
aws medialive describe-channel --channel-id 12345 --query "{State:State,Name:Name,Id:Id}"
aws medialive list-channels --query "Channels[].{Name:Name,Id:Id,State:State}"
aws mediapackagev2 list-origin-endpoints --channel-group-name X --channel-name Y \
  --query "Items[].{Name:OriginEndpointName,Url:HlsManifests[0].Url}"

Files

references/workflow-cost-optimization.md

Cost Optimization

Model cost implications for both existing and proposed resources. Present each decision as a spectrum — not a binary choice.

Existing State — Query First

ServiceQueryFlag
MediaConnectlist-flows → ACTIVE with 0 outputsIdle billing
MediaLivelist-channels → STANDARD in non-prodOver-provisioned
MediaLiveChannel RUNNING but no viewers downstreamIdle encoding cost
MediaConvertRecent job volume vs queue typeReserved queue candidate
MediaPackage v2Origin endpoints with no egress (EgressBytes = 0)Unused packaging
MediaPackage v2Long startover/DVR windows on low-viewership channelsExcess origin storage
MediaTailorPlayback configs with zero active sessionsUnused SSAI capacity
CloudFrontCache hit ratio < 80% on segment behaviorsExcess origin pulls (cost + RPS risk)
CloudFrontOrigin Shield disabled with multiple edge locationsRedundant origin requests
S3Archive output groups writing but never accessedUnused recordings — lifecycle policy needed

Proposed State — Decision Spectrums

For each decision, present: the variable, how cost scales, what drives the right answer, and a concrete recommendation for the user's context.

Encoding and source transport
DecisionCost driverScalingRight-size by asking
ABR renditionsEach rung = encode + packaging + storage + CDN egress per viewer on that rungMultiplied across entire chainWhat devices/bandwidths does the audience use? Remove rungs with <5% viewership. Sports needs more rungs than talking-head.
Bitrate targetsHigher bitrate = more storage + CDN egress (largest cost at scale)LinearUse QVBR — target quality level, not fixed bitrate.
Channel uptimeBilled per-second while RUNNING/ACTIVELinear with time24/7 linear or event-based? Event = stop between uses.
Idle channel costMediaLive charges for attached inputs even when channel is IDLEContinuous while input attachedDetach or delete inputs on channels that won't run for days+.
RedundancySTANDARD = 2x SINGLE_PIPELINEStep (1x or 2x)Cost of 30s downtime during failover? Acceptable → single.
MediaLive reserved pricingInput + output reservations (12-month commit; check current reserved-vs-on-demand savings on the MediaLive pricing page)Threshold: channel runs >16 hrs/dayIs this channel 24/7 or near-24/7? → Reserved. Event-only? → On-demand.
MediaLive add-on featuresAdvanced Audio adds per-channel surchargePer-channel flat feeDo you actually need Advanced Audio (Dolby, audio normalization)? If not, disable.
MediaConvert tierProfessional tier costs more than Basic per normalized minute (confirm the current multiplier on the MediaConvert pricing page)Step (Basic vs Professional)Do you need broadcast features (HEVC, HDR, Dolby)? If just H.264 web delivery → Basic tier.
MediaConvert accelerated transcoding2-4x cost per job vs standardMultiplier on job costIs turnaround time critical? Long-form content benefits. Short clips don't need it.
MediaConvert volume discountsTiered pricing — more normalized minutes/month = lower per-minute rateStaircase down with volumeConsolidate jobs in one account/region to hit higher tiers. Use Organizations for aggregated billing.
MediaConvert reserved slotsFixed monthly rate per RTS (check current reserved-vs-on-demand savings on the MediaConvert pricing page)Threshold: steady daily volumeConsistent daily volume? → Reserved. Bursty/unpredictable? → On-demand with tiered discounts.
HEVC vs H.264HEVC: higher encode cost, materially lower storage+CDN (more bitrate-efficient than H.264 — quantify against current pricing)Trade-off crosses based on egress volume% audience supporting HEVC? Monthly egress?
Bandwidth Reduction FilterReduces output bitrate 10-20%Multiplicative savings on storage+CDNEnable unless contribution feed where every bit matters.
MediaConnect flow sizeStandard (80 Mbps) vs Large (150) vs XL (400)Step pricing per tierWhat's the actual source bitrate? Don't over-provision.
MediaConnect Router vs TS flowRouter charges per-input-hour + per-output-hour by bitrate tier. TS flow charges per-flow-hour + per-GB transfer.Different modelsFew outputs, high bitrate → Router may cost more. Many outputs, low bitrate → Router may be cheaper. Compare.
MediaConnect reserved outboundCommit to monthly outbound bandwidth for discountThreshold: sustained egressSteady outbound to internet/other regions? → Reserve. Bursty? → On-demand.
MediaConnect output countEach output on a flow adds costLinear per outputCan destinations share a single output (multicast/entitlement)? Minimize outputs where possible.
LookAheadRateControl: HIGHBetter quality at same bitrate → can target lower MaxBitrateIndirect — reduces downstream egressEnable HIGH for distribution. Allows lowering bitrate ceiling without visible quality loss.
Input switching (channel reuse)One channel with schedule actions vs multiple channelsEliminates N-1 channel costsMulti-segment events (pre-show/main/post)? → Use input switching, not separate channels.
Shared encode outputsSame rendition reused across multiple output groupsAvoids duplicate encodingSame ABR rung going to both archive and packaging? → Share the encode.
Packaging and origin (MediaPackage v2)
DecisionCost driverScalingRight-size by asking
Segment durationShorter = more manifest requests (origin + CDN) but lower latencyInverse with segment lengthLatency requirement? 6s default, 2s for low-latency, 1s only for LL-HLS.
DVR/startover windowLonger window = more origin storage and manifest sizeLinear with window durationHow far back do viewers actually rewind? Match to actual usage, not "just in case."
Number of origin endpointsEach endpoint = separate packaging pass and egress meteringLinear per endpointOne endpoint serves both HLS and DASH — don't create duplicates.
Ingest redundancyDual-ingest (STANDARD channel) doubles ingest volume2x ingest costProduction = dual. Dev/test = single pipeline saves ingest cost.
Egress via CDN vs directContent served from CDN cache does NOT incur MediaPackage egress chargeEliminates origin egress at high cache hitAlways use CloudFront (or equivalent) — direct viewer access costs origin egress per-GB on every request.
Volume commitmentDiscounted pricing at 10+ TB/month annual commitmentStep discountSustained high-viewership channels? → Commit for discount.
Ad insertion (MediaTailor)
DecisionCost driverScalingRight-size by asking
SSAI vs CSAISSAI: per-ad-impression cost. CSAI: zero MediaTailor cost but client complexityPer impressionAd volume? If <1000 impressions/day, SSAI cost is negligible. At millions/day, it's material.
Ad transcoding overflowFirst 10 transcodes per 1,000 insertions are free. Beyond that, billed at MediaConvert rates.Step — free tier then per-transcodeHow many unique ad creatives? High creative diversity = more transcodes. Pre-condition creatives to avoid.
Ad delivery (segment egress)Delivering ad segments and manifests over internet/CDN is billed per-GBLinear with ad volume × bitrateUse CDN caching for ad segments — popular ads served from cache avoid repeated delivery charges.
Session durationLonger sessions = more manifest manipulation requestsLinear with session count × durationAverage view time? Short-form = many sessions. Long-form = fewer but longer.
PrefetchReduces ad latency but increases ADS callsMore ADS requests (may increase ADS cost)Is ad fill rate critical? Prefetch helps fill rate but costs more ADS calls.
Channel Assembly tierBasic (VOD-only) vs Standard (VOD+live, higher rate) — check current Channel Assembly pricingPer-hour per-channelDo you need live source stitching? If VOD-only schedule → Basic saves.
Channel Assembly vs live encodeChannel Assembly avoids encoding cost for schedule-based linearEliminates MediaLive cost entirelyIs source already encoded VOD assets? → Channel Assembly. Live source? → MediaLive required.
CDN delivery (CloudFront)
DecisionCost driverScalingRight-size by asking
Origin ShieldPer-request cost at shield tier, but reduces origin load dramaticallyNet savings when >5 edge locations hit originHow many edge locations serve viewers? >5 → likely saves money AND protects origin.
Cache TTLsShorter manifest TTL = more origin requestsInverseDon't go below half-segment-duration. Longer = cheaper but staler.
Price classAll edge locations vs subset (100/200)Step — fewer locations = lower per-GB in some regionsWhere are viewers? If 95% in NA/EU, PriceClass_100 saves on AP/SA egress pricing.
Regional pricing variationAP, SA, Middle East, Africa regions cost 2-3x NA/EU per-GBGeographicGeo-restrict to licensed territories — saves money AND enforces rights.
Per-request chargesBilled per 10K HTTP/S requests, separate from data transferLinear with request countShort segments (2s) = 3x the requests of 6s segments. Factor request cost, not just transfer.
Compression on manifestsReduces transfer size 60-80%Multiplicative on manifest egressAlways enable on manifests. Never on segments (already compressed).
Reserved capacityCloudFront committed pricing at volume (check current CloudFront pricing for savings)Savings scale with sustained egressMonthly egress >10 TB sustained? → Reserved pricing.
Origin-to-CloudFront transferData from AWS origins (S3, MediaPackage) to CloudFront is freeZero costThis is why CDN-fronting MediaPackage saves money — origin egress is free to CloudFront.
Storage (S3)
DecisionCost driverScalingRight-size by asking
Archive retentionEvery hour of live archive = bitrate × duration in storageLinear, accumulates indefinitelyHow long must recordings be kept? Set lifecycle policies. 30 days? 90?
Storage classStandard vs IA vs GlacierStep savings (50-90%) for infrequent accessAre archives accessed after 24h? → IA. After 90d? → Glacier.
VOD output duplicationMultiple output formats = multiplied storageLinear per formatDo you need MP4 + HLS + DASH separately, or can MediaPackage v2 JIT-package from one?
Request costs (PUT/GET)High segment counts = high request volume (each segment = 1 PUT on archive, 1 GET on playback)Linear with segment countAt 2s segments, a 1-hour recording = 1,800 PUTs. At 6s = 600. Request costs can exceed storage for short-lived content.
Lifecycle transitionsMoving to IA/Glacier incurs per-object transition feePer-object one-timeMany small segments = high transition cost. Consider fewer, larger archive chunks if lifecycle is planned.

Cost Amplifiers — Upstream Decisions That Cascade

These decisions multiply cost across multiple downstream services simultaneously. Flag them early because they have outsized impact.

Upstream decisionServices amplifiedExample
Adding an ABR rungMediaLive encode + MediaPackage ingest + MediaPackage egress + CloudFront egress + S3 archive1 extra rung at 3 Mbps with 10K viewers = (encoding hrs × rate) + (egress GB × per-GB price × viewer count) across the chain, not just encoding
Increasing bitrateMediaPackage egress + CloudFront egress + S3 storageDoubling bitrate roughly doubles egress cost (the dominant cost at scale)
Shortening segment durationMediaPackage request count + CloudFront request count + Origin Shield requests2s segments = 3x the requests of 6s segments
Extending DVR windowMediaPackage origin storage + manifest size + CloudFront manifest transfer4-hour DVR vs 15-min = 16x origin storage for that channel
STANDARD vs SINGLE_PIPELINEMediaLive (2x) + MediaConnect (2x outputs) + MediaPackage (2x ingest)Full chain doubles, not just encoding

When presenting cost optimization, always trace the decision through the full chain to show total impact, not just the single-service cost.

Procedure

  1. Gather context: environment (prod/dev), audience profile, SLA, content type, expected viewership.

  2. Query existing resources for baseline costs and utilization.

  3. For each applicable decision, state where on the spectrum you recommend and why.

  4. Find current per-unit pricing for the relevant services. If the AWS MCP server's search_documentation tool is available, use it; otherwise consult the public AWS pricing pages for each service.

  5. Compute costs deterministically, not in your head — do NOT perform mental math or approximate in prose. If a Python runtime is available (the AWS MCP server's run_script tool, or a local interpreter), write and run a script that:

    • Accepts the pricing units from step 4 and the user's parameters (hours, bitrate, viewer count, segment duration, etc.)

    • Calculates monthly cost per service and total

    • Computes all variants in one script when comparing scenarios, returning a comparison table If no runtime is available, lay out the arithmetic explicitly (per-unit price × quantity for each line item) and sum it step by step so the calculation is auditable.

  6. Present results as a table with per-service breakdown. If multiple scenarios, show side-by-side.

  7. Wait for user approval before creating resources.

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs an MCP server, Needs a command-line tool

Security

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Attribution and licence

Published by
AWS
Publisher
AWS (Official)
Source
aws/agent-toolkit-for-aws · skills/specialized-skills/media-services-skills/aws-media-services · commit 0a218f8
Licence
Apache License 2.0 (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • NOTICE (added by AutoGineer from NOTICE)
  • ATTRIBUTION.md (written by AutoGineer)
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