davinci-resolve-mcp: Skill for Claude Code

.agents/skills/resolve-tighten-recording/SKILL.md

resolve-tighten-recording is a skill for Claude Code, Codex from samuelgursky/davinci-resolve-mcp. It costs 102 tokens per session (2,093 once invoked), scanned A, original, MIT.

A DaVinci Resolve editing workflow that removes pauses and dead air from one long talking-head, screen-recording, tutorial, or podcast take.

In plain words
What is it for?
Use it to create a tightened variant timeline from a single recording, review the largest removed sections, and identify content that silence-based editing may miss.
Why use it?
It shortens a recording by subtraction while keeping the original timeline untouched and flagging long silences that may contain useful on-screen activity.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents); mentions AGENTS.md.

This is samuelgursky/davinci-resolve-mcp's own configuration. It tells Claude Code and Codex how to work on davinci-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 davinci-resolve-mcp configures →

About the project

davinci-resolve-mcp is an MCP server that lets AI assistants control DaVinci Resolve Studio through its scripting API, including editing, media organization, rendering, grading, and other project tasks. It is for users who want agents to operate Resolve and inspect media through a local control panel. The catalogue entries support agent workflows for this Resolve integration.

samuelgursky/davinci-resolve-mcp · 2,701 stars · on GitHub

Reuse

Borrowing it

Nothing to install: this file belongs to samuelgursky/davinci-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/samuelgursky/davinci-resolve-mcp/main/.agents/skills/resolve-tighten-recording/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/samuelgursky/davinci-resolve-mcp

Made for: Claude Code, Codex.

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.

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README.md
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Your own site
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Your own site · 80×15
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Per session 102 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,093 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00102 $0.02093
Opus 5 $0.00051 $0.01046
Sonnet 5 $0.00020 $0.00419
Haiku 4.5 $0.00010 $0.00209

Measured 10d ago against content hash e30d00903b70, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

resolve-tighten-recording 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 10d 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.

.agents/skills/resolve-tighten-recording/SKILL.md · 157 lines

How it starts

The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Resolve Tighten Recording

Turns one long raw take into a tightened variant timeline. The variant is the deliverable; the original timeline is never touched.

Everything below was measured live against Resolve Studio 21.0.1.11 / MCP v2.80.1 on 2026-08-06, on a real 28.5-minute 30fps screen recording, unless a different date is given.

The deliverable contract

Deliver a tightened variant timeline, plan → review → confirm. Do not grade, caption, or add anything; a tighten is pure subtraction. The variant runs generous on purpose — recovering over-cut material is slow and invisible, trimming further is fast and visible.

Two things always go back to the editor with the variant:

  • The largest lifts. A lift is only silence to the microphone. Measured on real material (2026-07-31): a 29s lift was 70% silent on-screen demonstration — real content, cut because nobody spoke over it. Anything over ~15s deserves a human look before the variant is trusted.
  • What silence-driven tightening cannot hear — see the last section.

Workflow

  1. Lift the analysis caps for long mediamedia_analysis set_caps_preset {preset: "unlimited"}. The standard preset carries a 90-second wall clock; multi-hour material dies on it. Restore standard when done (step 7).

  2. Transcribemedia_analysis start_batch_job with {clip_id, vision: false, transcription: {enabled: true, ...}}, then run_batch_job_slice {job_id}. Two traps in one call pair:

    • Batch jobs do not advance themselves. start_batch_job returns a durable job in queued and nothing runs until a slice call drives it.
    • run_batch_job_slice blocks until the slice completes — budget roughly 4-7x realtime for local whisper (measured: 28.5min of Chinese speech in 5m14s via mlx_whisper) and run it from a background process, not the main conversation.

    Copy clip_id from media_pool probe_media_pool output. Never type it from memory: one transposed hex pair (measured 2026-06: b9ab9bab) fails every downstream call in ways that look like engine bugs.

  3. Planedit_engine plan_tighten {timeline_name}. Dry run; nothing moves. min_pause_seconds raises the bar when the default cuts too fine-grained. The plan persists on disk — planning and executing in different sessions is fine.

  4. Review with the editor: lift count, estimated removed seconds, and the largest lifts (sorted by duration). This is the approval gate the whole tool sequence exists for — do not skip it because the numbers look reasonable.

  5. Executeedit_engine execute_tighten {plan_id} returns a confirm_token (TTL 300s); re-call with the token. Both calls in the same MCP session is verified; a token across a server restart is not — don't bet on it.

  6. Verify, in this order:

    • timeline detect_gaps_overlaps on the variant → must be 0 / 0.
    • readback.after.clip_count in the execute response ≈ 2× the video keep-range count when audio is mirrored (113 video + 113 audio = 226 measured). If it equals the video count alone, the variant is silent — stop and say so.
    • Spot-check placement with timeline clip_where {track_type, track_index} against the plan's keep ranges (coordinate rules below). clip_where reads the current timeline onlyset_current to the variant first; it takes no timeline_name argument.
    • Total duration ≈ original − estimated_removed_seconds.
  7. Clean up — restore set_caps_preset {preset: "standard"}, project_manager save, and list timelines: execute_tighten archives the source timeline once (_versioning.archived: true, by design), so a *_archived_vNN appears. Surface it; deleting is the editor's call.

Read the full file on GitHub · 157 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. 10d ago Changed · -1 lines e30d00903b70
  2. 13d ago First seen · 158 lines · 102 tokens per session scan A cfdd4e054847

Subscribe to this mod's changes

resolve-tighten-recording is a skill published in the GitHub repository samuelgursky/davinci-resolve-mcp (2,701 stars, last pushed yesterday), licensed MIT. It adds 102 tokens to every session and 2,093 once invoked, about $0.0005 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 2026-08-30.