Cassette Video Edit
Cassette-Editor/oh-my-cassette
Edit, trim, cut, caption, subtitle, reframe, combine, add background music to, or export video, audio, and image files through Cassette.
Audio and Fairlight work in the DaVinci Resolve MCP. An agent skill from samuelgursky/davinci-resolve-mcp.
Install Resolve Audio
$ npx skills add samuelgursky/davinci-resolve-mcp --skill resolve-audio -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install samuelgursky/davinci-resolve-mcp resolve-audio --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/samuelgursky/davinci-resolve-mcp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/resolve-audio .claude/skills/resolve-audio && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "resolve-audio" agent skill from https://github.com/samuelgursky/davinci-resolve-mcp/tree/main/.agents/skills/resolve-audio into .claude/skills/resolve-audio/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resolve-audio", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/samuelgursky/davinci-resolve-mcp/tree/main/.agents/skills/resolve-audioType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add samuelgursky/davinci-resolve-mcp --skill resolve-audio -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install samuelgursky/davinci-resolve-mcp resolve-audio --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/samuelgursky/davinci-resolve-mcp.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/resolve-audio .agents/skills/resolve-audio && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "resolve-audio" agent skill from https://github.com/samuelgursky/davinci-resolve-mcp/tree/main/.agents/skills/resolve-audio into .agents/skills/resolve-audio/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resolve-audio", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add samuelgursky/davinci-resolve-mcp --skill resolve-audio -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install samuelgursky/davinci-resolve-mcp resolve-audio --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/samuelgursky/davinci-resolve-mcp.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/resolve-audio .cursor/skills/resolve-audio && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "resolve-audio" agent skill from https://github.com/samuelgursky/davinci-resolve-mcp/tree/main/.agents/skills/resolve-audio into .cursor/skills/resolve-audio/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resolve-audio", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/samuelgursky/davinci-resolve-mcp.git --path .agents/skills/resolve-audio--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add samuelgursky/davinci-resolve-mcp --skill resolve-audio -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install samuelgursky/davinci-resolve-mcp resolve-audio --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/samuelgursky/davinci-resolve-mcp.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/resolve-audio .gemini/skills/resolve-audio && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "resolve-audio" agent skill from https://github.com/samuelgursky/davinci-resolve-mcp/tree/main/.agents/skills/resolve-audio into .gemini/skills/resolve-audio/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resolve-audio", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install samuelgursky/davinci-resolve-mcp resolve-audioInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add samuelgursky/davinci-resolve-mcp --skill resolve-audio -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/samuelgursky/davinci-resolve-mcp.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/resolve-audio .github/skills/resolve-audio && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "resolve-audio" agent skill from https://github.com/samuelgursky/davinci-resolve-mcp/tree/main/.agents/skills/resolve-audio into .github/skills/resolve-audio/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resolve-audio", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add samuelgursky/davinci-resolve-mcp --skill resolve-audio -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install samuelgursky/davinci-resolve-mcp resolve-audio --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/samuelgursky/davinci-resolve-mcp.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/resolve-audio .opencode/skills/resolve-audio && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "resolve-audio" agent skill from https://github.com/samuelgursky/davinci-resolve-mcp/tree/main/.agents/skills/resolve-audio into .opencode/skills/resolve-audio/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resolve-audio", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
resolve-audio- GitHub stars
- 3.4k
- Token cost
- ~1.3k tokens
- SKILL.md length
- 597 words
- Files
- 1
- Skills in repo
- 14
- Repo updated
- First seen
- Licence
- MIT
At a glance
Audio and Fairlight work in the DaVinci Resolve MCP. An agent skill from samuelgursky/davinci-resolve-mcp.
- Tasks that involve Transcription
- SKILL.md covers Rough mix before anything else, Two servers — plan/measure…, Offline and Live: loudness contracts and…, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Tasks that involve MCP servers
What it does
Resolve Audio is an agent skill from samuelgursky/davinci-resolve-mcp. Audio and Fairlight work in the DaVinci Resolve MCP. Apply when setting audio properties, syncing audio, isolating voice, generating subtitles, planning Fairlight track/bus layouts, checking loudness, routing buses, or splitting/trimming/converting audio — live in a running Resolve OR offline. Routes to the live audio tools, the offline audio planning/bus-routing tools, and the Fairlight kernel.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Media & Creative, covering Transcription and MCP servers. It works with Model Context Protocol. The repository describes itself as: MCP server integration for DaVinci Resolve Studio. The licence is MIT.
When your agent uses it
- Tasks that involve Transcription
- Tasks that involve MCP servers
Example prompts
- “/resolve-audio”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 94c7a88. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Resolve Audio loads about 1.3k tokens when it runs. Until then it costs about 103 tokens; SKILL.md has 597 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from samuelgursky/davinci-resolve-mcp at commit 94c7a88, republished under its MIT licence (© samuelgursky). 597 words, ~1,307 tokens.
Download SKILL.mdSave it as
.claude/skills/resolve-audio/SKILL.md (or your agent's skills folder).- name
- resolve-audio
- description
- Audio and Fairlight work in the DaVinci Resolve MCP. Apply when setting audio properties, syncing audio, isolating voice, generating subtitles, planning Fairlight track/bus layouts, checking loudness, routing buses, or splitting/trimming/converting audio — live in a running Resolve OR offline. Routes to the live audio tools, the offline audio planning/bus-routing tools, and the Fairlight kernel.
Resolve Audio / Fairlight
Thin router; depth stays in the kernel.
- Live tool mechanics —
docs/kernels/audio-fairlight-kernel.md(thetimelineaudio/Fairlight boundary). - Offline planning + bus routing —
resolve-advanced/README.md→audio_plan,fairlight,audio.
Rough mix before anything else
If the ask is "make this sound balanced" rather than "route these buses", start with
media_analysis mix_plan (Python server, no Resolve needed). Give it the dialogue stems
and it derives the dialogue-normalisation gain, the music-bed level under it, and ducking
windows from the dialogue's own silence — then renders a premix and measures it, so
what you report is the loudness achieved rather than the gain arithmetic.
dry_run defaults to true: show the gains and the window count first. On a
full-programme standard (ebu_r128, web) a measured programme trim lands the whole mix
on target; on ott_dialogue_gated it deliberately does not trim, because dialogue is the
figure being graded. Flags (loudness_off_target, true_peak_over, clipped) come back
with remedies and are never auto-corrected — report them, do not paper over them.
Two servers — plan/measure offline, apply live
| Job | Server | Tools |
|---|---|---|
| Audio on a running timeline | davinci-resolve (Python, live) | timeline (`probe_audio_item |
| Plan tracks / route buses / edit audio files with no Resolve open | davinci-resolve-advanced (Node) | audio_plan, fairlight, audio |
Offline
audio_plan(pure Node) —list_templates,select_template,track_plan,analyze_coverage,check_loudness(R128 −23 / ATSC −24 / streaming −14 targets). Plan the layout before building it live.fairlight— bus routing has no scripting API; it patches theFLStudioModelBAblob.read_buses_from_blob(offline);read_buses_from_db,expand_buses,export_template/import_template,backup,restore(DB path — needsbetter-sqlite3; project CLOSED + quit/relaunch like other DB patches).audio— offline ffmpeg:split(silence/TC/intervals),trim,convert(needs ffmpeg on PATH — GPL, not bundled). Align/loudness-measure not yet vendored.
Live: loudness contracts and the silence gate
- Named loudness standards live with the delivery targets, not here:
render(action='list_loudness_standards')→web,podcast,ebu_r128,atsc_a85,ott_dialogue_gated. Attach one to a delivery target and hand the emittedloudness_target.targetto advancedloudness_qc. See the delivery skill for why dialogue-gated standards assert true peak only. plan_silence_ripplecalibrates its own gate. Omitthreshold_dband the threshold is measured from that clip's own dynamics (astatstrough vs peak), per item, reported incalibrations[]. A fixed −30 dB under-detects on quiet location sound and over-cuts a noisy room.- When trough and peak are not separated, no threshold distinguishes speech from room: the item is kept whole and the reason surfaced, rather than stripped against an unvalidated gate. A −30 dB default applied to a −33 dB programme reads as silent end to end and would remove the entire clip.
- Pass
threshold_dbexplicitly to override; it is honoured untouched.
Show full SKILL.md (179 more words)Show less
Gotchas
- Timeline audio
SetProperty(e.g.Volume) can return false for some generated item types;AutoSyncAudiodepends on media + Resolve's sync engine. - The public API does not expose Fairlight mix automation curves or plugin graphs
— use
fairlightfor bus structure, not automation. - The whole-mix preset workaround is version-gated, and it is the only write
path there is. Per-parameter Fairlight control does not exist at any version;
what exists is
GetFairlightPresets+ApplyFairlightPresetToCurrentTimeline, which apply a saved mix wholesale. Both require Resolve 20.2.2+ and are absent on 19.1.3 (confirmed live). So on an older build the per-parameter gap is the entire story and there is no workaround to offer — check withresolve_control check_version_supportbefore proposing one, and say the build is too old rather than suggesting a call that will not be there. - The AI Audio Assistant (one-click auto-mix) is not scriptable on any build
— no method exists on
Resolve,Project,TimelineorTimelineItem(issue #128). Presets cover the repeatable-template case, never the content-adaptive one.
Never modify/transcode/derive source media (AGENTS.md) — the offline audio ops
write NEW files to scratch, never over source.
© samuelgursky, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .agents/skills/resolve-audio of samuelgursky/davinci-resolve-mcp.
Open the folder on GitHubat commit 94c7a88
Compare with similar skills
Resolve Audio next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Resolve Audio this skillsamuelgursky/davinci-resolve-mcp | 3.4k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Cassette Video EditCassette-Editor/oh-my-cassette | 119 | 1 repos | ~3.4k | Automated safety check: Pass | MIT | |
| KinocutKyaniteLabs/kinocut | 198 | — | ~5.7k | Automated safety check: Pass | Apache-2.0 | |
| Michel UI Demo RecorderPackmindHub/packmind | 318 | — | ~6.4k | Automated safety check: Pass | Apache-2.0 | |
| Kinocut RepurposeKyaniteLabs/kinocut | 198 | — | ~1k | Automated safety check: Pass | Apache-2.0 | |
| Final Cut ProDareDev256/fcp-mcp-server | 121 | — | ~2.2k | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about Resolve Audio
What does Resolve Audio do?
Audio and Fairlight work in the DaVinci Resolve MCP. An agent skill from samuelgursky/davinci-resolve-mcp. Resolve Audio is an agent skill from samuelgursky/davinci-resolve-mcp. Audio and Fairlight work in the DaVinci Resolve MCP.
When should I use Resolve Audio?
Resolve Audio fits situations like: tasks that involve Transcription; tasks that involve MCP servers.
How do I install Resolve Audio in Claude Code?
Run `npx skills add samuelgursky/davinci-resolve-mcp --skill resolve-audio -a claude-code`. Or copy the skill folder (.agents/skills/resolve-audio in samuelgursky/davinci-resolve-mcp) into .claude/skills/resolve-audio in your project. Claude Code loads it when a task matches its description.
How do I install Resolve Audio in Codex?
Run `npx skills add samuelgursky/davinci-resolve-mcp --skill resolve-audio -a codex`. Or copy the skill folder (.agents/skills/resolve-audio in samuelgursky/davinci-resolve-mcp) into .agents/skills/resolve-audio in your project. Codex loads it when a task matches its description.
Can I use Resolve Audio in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add samuelgursky/davinci-resolve-mcp --skill resolve-audio -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/resolve-audio, .gemini/skills/resolve-audio, .github/skills/resolve-audio and .opencode/skills/resolve-audio in your project.
What does Resolve Audio need to run?
SKILL.md names no scripts, command-line tools or credentials: Resolve Audio is instructions for the agent only. Our summary lists: Python 3.
Does Resolve Audio access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Resolve Audio safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Resolve Audio use?
Resolve Audio is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Resolve Audio use?
About 1.3k tokens (SKILL.md is roughly 5.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Resolve Audio?
Skills that share tags, products or a category with Resolve Audio: Cassette Video Edit (Cassette-Editor/oh-my-cassette, 119 stars), Kinocut (KyaniteLabs/kinocut, 198 stars), Michel UI Demo Recorder (PackmindHub/packmind, 318 stars) and Kinocut Repurpose (KyaniteLabs/kinocut, 198 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Resolve Audio?
samuelgursky (a GitHub user) maintains it in samuelgursky/davinci-resolve-mcp, which has 3,448 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on October 9, 2026.
Source: samuelgursky/davinci-resolve-mcp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.