A one-command export workflow for DaVinci Resolve, a video editing and color-grading application. It accepts common delivery descriptions and applies matching format, codec, and resolution settings before rendering.

Exporting videos as H.264, H.265, or Apple ProRes files for YouTube, Instagram, TikTok, editing, mastering, or other specified delivery targets.

It removes the need to configure render settings and start the export manually for each destination or file type.

How jenkinsm13/resolve-mcp configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to jenkinsm13/resolve-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/jenkinsm13/resolve-mcp/main/.claude/skills/deliver/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/jenkinsm13/resolve-mcp

Made for: Claude Code.

Or install resolve-mcp, the plugin that ships this one along with the rest of its 16 skills, 25 agents, 2 hooks, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/jenkinsm13/resolve-mcp/deliver/github.svg)](https://agentmods.dev/skills/jenkinsm13/resolve-mcp/deliver)

Your own site

<a href="https://agentmods.dev/skills/jenkinsm13/resolve-mcp/deliver"><img src="https://agentmods.dev/badge/skills/jenkinsm13/resolve-mcp/deliver/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/jenkinsm13/resolve-mcp/deliver"><img src="https://agentmods.dev/badge/skills/jenkinsm13/resolve-mcp/deliver.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 740 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00039	$0.00740
Opus 5	$0.00019	$0.00370
Sonnet 5	$0.00008	$0.00148
Haiku 4.5	$0.00004	$0.00074

Measured 8d ago against content hash 2e1542596ba1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

deliver scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/deliver/SKILL.md · 56 lines

How it starts

The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/deliver — Quick Render & Export

Set up render settings, add the job, start rendering, and poll until complete — all in one command.

Arguments

The user provides a delivery target as free text. Map it to Resolve render settings:

Shorthand	Format	Codec	Resolution	Notes
`h265 4k` or `4k`	MP4	H.265	3840x2160	Default high-quality delivery
`h265 1080` or `1080`	MP4	H.265	1920x1080	Standard HD
`h264 1080`	MP4	H.264	1920x1080	Maximum compatibility
`prores` or `prores 422`	QuickTime	Apple ProRes 422	Timeline resolution	Editing/mastering codec
`prores proxy`	QuickTime	Apple ProRes 422 Proxy	Timeline resolution	Lightweight proxy
`prores hq`	QuickTime	Apple ProRes 422 HQ	Timeline resolution	High quality
`prores 4444`	QuickTime	Apple ProRes 4444	Timeline resolution	With alpha channel
`youtube`	MP4	H.264	1920x1080	YouTube-optimized (high bitrate)
`instagram`	MP4	H.264	1080x1080	Square crop for IG feed
`instagram reel` or `reel`	MP4	H.264	1080x1920	9:16 vertical
`tiktok`	MP4	H.264	1080x1920	9:16 vertical
`dnxhd`	MXF	DNxHD	Timeline resolution	Broadcast delivery

If the user provides a Resolve render preset name instead, use resolve_load_render_preset to load it directly.

Workflow

Parse the delivery target from the user's argument
Use resolve_set_render_format_and_codec to set format and codec
Use resolve_set_render_settings to set resolution, frame rate, and any other settings (e.g., SelectAllFrames: true)
If the user specified an output directory, set TargetDir. Otherwise use the project default.
Use resolve_add_render_job to queue the job
Use resolve_start_render to begin rendering
Poll with resolve_get_render_status every few seconds until complete
Report final status: success, output path, file size if available

Example Interactions

Read the full file on GitHub · 56 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

8d ago First seen · 56 lines · 39 tokens per session scan A 2e1542596ba1

Subscribe to this mod's changes

deliver is a skill published in the GitHub repository jenkinsm13/resolve-mcp (6 stars, last pushed 4mo ago), licensed MIT. It adds 39 tokens to every session and 740 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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resolve-mcp: Skill for Claude Code