resolve-mcp: Skill for Claude Code

.claude/skills/multi-deliver/SKILL.md

multi-deliver is a skill for Claude Code from jenkinsm13/resolve-mcp. It costs 33 tokens per session (740 once invoked), scanned A, original, MIT.

A batch-rendering helper for DaVinci Resolve, a video-editing program. It creates several finished video files from one timeline using formats for platforms such as YouTube, Instagram, TikTok, and broadcast delivery.

In plain words
What is it for?
Use it to export platform videos, 4K or 1080p files, ProRes masters, DNxHD files, or broadcast MXF files in one batch.
Why use it?
It removes the need to set up and start each export separately when the same video is needed in different sizes, codecs, or file types.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

This is jenkinsm13/resolve-mcp's own configuration. It tells Claude Code how to work on resolve-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything resolve-mcp configures →

Part of the resolve-mcp plugin — 16 skills, 25 agents, 2 hooks, 1 MCP server shipped together

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/multi-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.

agentmods badge for multi-deliver

README.md
[![agentmods](https://agentmods.dev/badge/skills/jenkinsm13/resolve-mcp/multi-deliver.svg)](https://agentmods.dev/skills/jenkinsm13/resolve-mcp/multi-deliver)
Your own site
<a href="https://agentmods.dev/skills/jenkinsm13/resolve-mcp/multi-deliver"><img src="https://agentmods.dev/badge/skills/jenkinsm13/resolve-mcp/multi-deliver.svg" alt="Measured on agentmods" height="20"></a>
Per session 33 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00033 $0.00740
Opus 5 $0.00016 $0.00370
Sonnet 5 $0.00007 $0.00148
Haiku 4.5 $0.00003 $0.00074

Measured 8d ago against content hash d233d92e9935, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

multi-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/multi-deliver/SKILL.md · 60 lines

How it starts

The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/multi-deliver — Batch Render Multiple Formats

Queue multiple render jobs from the same timeline and render them all. One command for all your deliverables.

Arguments

The user lists the formats they need, separated by commas, +, or and.

Preset Definitions

Use these presets (same as /deliver skill):

Preset Format Codec Resolution
youtube MP4 H.264 1920x1080
youtube 4k MP4 H.265 3840x2160
instagram MP4 H.264 1080x1080
instagram reel / reel / tiktok MP4 H.264 1080x1920
h265 4k / 4k MP4 H.265 3840x2160
h265 1080 / 1080 MP4 H.265 1920x1080
h264 1080 MP4 H.264 1920x1080
prores QuickTime ProRes 422 Timeline res
prores hq QuickTime ProRes 422 HQ Timeline res
prores proxy QuickTime ProRes 422 Proxy Timeline res
dnxhd MXF DNxHD Timeline res
broadcast MXF DNxHR 1920x1080

Workflow

  1. Parse the user's requested formats into a list of presets
  2. For each preset: a. Use resolve_set_render_format_and_codec to set format and codec b. Use resolve_set_render_settings to set resolution and other settings c. Append a CustomName suffix to differentiate outputs (e.g., TimelineName_youtube, TimelineName_instagram) d. If the user specified an output directory, set TargetDir e. Use resolve_add_render_job to queue the job
  3. After all jobs are queued, use resolve_start_render to begin (renders all queued jobs)
  4. Poll with resolve_get_render_status and resolve_list_render_jobs until all jobs complete
  5. Report final status for each deliverable: format, resolution, file path, success/failure

Example Interactions

User: /multi-deliver youtube + instagram reel + prores hq → Queues 3 render jobs (H.264 1080p, H.264 1080x1920, ProRes HQ), renders all, reports results.

User: /multi-deliver youtube, 4k, prores to /Volumes/Exports/ → Queues 3 jobs to specified directory.

Read the full file on GitHub · 60 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.

  1. 8d ago First seen · 60 lines · 33 tokens per session scan A d233d92e9935

Subscribe to this mod's changes

multi-deliver is a skill published in the GitHub repository jenkinsm13/resolve-mcp (6 stars, last pushed 4mo ago), licensed MIT. It adds 33 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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