Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add flamexnreal/davinci-resolve-ai-bridge-mcp --skill resolve-camera-motiongit clone --depth 1 https://github.com/flamexnreal/davinci-resolve-ai-bridge-mcpWrote 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.
[](https://agentmods.dev/skills/flamexnreal/davinci-resolve-ai-bridge-mcp/resolve-camera-motion)<a href="https://agentmods.dev/skills/flamexnreal/davinci-resolve-ai-bridge-mcp/resolve-camera-motion"><img src="https://agentmods.dev/badge/skills/flamexnreal/davinci-resolve-ai-bridge-mcp/resolve-camera-motion/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.
<a href="https://agentmods.dev/skills/flamexnreal/davinci-resolve-ai-bridge-mcp/resolve-camera-motion"><img src="https://agentmods.dev/badge/skills/flamexnreal/davinci-resolve-ai-bridge-mcp/resolve-camera-motion.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00036 | $0.01337 |
| Opus 5.5 | $0.00014 | $0.00535 |
| Sonnet 5.5 | $0.00007 | $0.00267 |
| Haiku 4.5 | $0.00004 | $0.00134 |
Grade A, and why
resolve-camera-motion 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Resolve Camera Motion & Zoom Keyframing
Use this skill whenever a request involves zooming, camera movement, punch-ins, pull-outs, framing adjustments, or multi-stage camera keyframing on timeline clips in DaVinci Resolve (Free and Studio).
1. Core Tool: animate_zoom
The animate_zoom tool builds native Fusion transform splines directly on the timeline clip. It supports single-range zooms, automated AI presets, and multi-waypoint keyframe arrays.
Frames count from the clip's first frame (0). Pass timeline_start_frame / timeline_end_frame, or timeline_frame in a keyframe, to use absolute timeline frames. Keyframes must fall inside the clip. The zoom joins the bridge's Fusion chain, so blurs, spotlights and the user's own Fusion nodes stay connected; reset=True removes only the zoom.
A. Single Range Zooms
# Punch in on clip V1.1 from 1.0x to 1.40x with cubic ease-out
animate_zoom(
item_id="V1.1",
start_zoom=1.0,
end_zoom=1.40,
easing="cubic_out",
start_frame=0,
end_frame=24
)
# Pull out / Zoom out from 1.50x close-up to 1.0x full view
animate_zoom(
item_id="V1.1",
direction="out",
start_zoom=1.50,
end_zoom=1.0,
easing="cubic_out"
)
B. Multi-Keyframe Waypoint Paths (keyframes)
To create complex multi-stage camera sequences (e.g. fast punch-in to a search bar -> hold close-up while typing -> gradual slow ease-in zoom out on page load):
animate_zoom(
item_id="V1.1",
keyframes=[
{"frame": 0, "zoom": 1.0, "center_x": 0.50, "center_y": 0.50},
{"frame": 16, "zoom": 2.40, "center_x": 0.50, "center_y": -0.65, "easing": "cubic_out"},
{"frame": 88, "zoom": 2.42, "center_x": 0.50, "center_y": -0.65, "easing": "linear"},
{"frame": 208, "zoom": 0.55, "center_x": 0.50, "center_y": 0.50, "easing": "cubic_in"}
]
)
2. 14 Supported Easing Curves
| Preset Name | easing Parameter |
Motion Profile & Best Use Case |
|---|---|---|
| Linear | "linear" |
Constant speed throughout. Subtle slow documentary push. |
| Ease In / Quad In | "ease_in", "quad_in" |
Slow start, accelerates forward. Good for building anticipation. |
| Cubic In | "cubic_in" |
Dramatic slow start that ramps up into a cut or transition. |
| Ease Out / Quad Out | "ease_out", "quad_out" |
Fast start with smooth deceleration to a gentle stop. |
| Cubic Out | "cubic_out" |
Snappy, punchy zoom with a smooth landing. Best for punch-ins. |
| Ease / Quad Ease | "ease", "quad_ease" |
Balanced S-curve acceleration and deceleration. |
| Cubic Ease | "cubic_ease" |
Broadcast cinematic glide with zero hard starts or stops. |
| Circular Ease | "circular_ease" |
Circular arc acceleration and deceleration. |
| Rebound In | "rebound_in" |
Pulls backward slightly before launching forward into the zoom. |
| Rebound Out | "rebound_out" |
Overshoots the zoom target slightly and snaps back into place. |
| Rebound Ease | "rebound_ease" |
Rebound on both start and finish. |
| Elastic Out | "elastic_out" |
Springy bounce that settles onto the target. |
| Step / None | "none" |
Instant jump cut to the zoom level. |
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.
- 11d ago Changed · +2 lines 7b1b83e611be
- 1mo ago First seen · 95 lines · 36 tokens per session scan A 6371e0798667
resolve-camera-motion is a skill published in the GitHub repository flamexnreal/davinci-resolve-ai-bridge-mcp (38 stars, last pushed 11d ago), licensed MIT. It adds 36 tokens to every session and 1,337 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other skills, from other repositories
documentation-and-adrs
Records decisions and documentation. Use when you need to document an architecture decision (ADR) or the reasoning behind a design choice, when changing public APIs, shipping features, or when you need to record context that future engineers and agents will need to understand the codebase.
idea-refine
Refines raw ideas into sharp, actionable concepts through structured divergent and convergent thinking. Use when an idea is still vague, when you need to stress-test assumptions before committing to a plan, or when you want to expand options before converging on one. Triggers on "ideate", "refine this idea", or…
peon-ping-log
Log exercise reps for the Peon Trainer. Use when user says they did pushups, squats, or wants to log reps. Examples - "/peon-ping-log 25 pushups", "/peon-ping-log 30 squats", "log 50 pushups".
ai-output-validation
Validates, parses, and sanitizes AI-generated outputs before they reach end users or downstream systems. Structured output enforcement, schema validation, and fallback handling.
idea-to-spec
Converts vague ideas into concrete, testable specifications with acceptance criteria. No implementation begins without a spec.
ponytail-lazy-senior-dev
Applies the "lazy senior developer" mindset. Use this skill whenever generating, modifying, reviewing code, or fixing bugs to prioritize code reuse, minimalism, YAGNI principles, and root-cause fixes. Also use whenever the user says "ponytail", "be lazy", "lazy mode", "simplest solution", "minimal solution", "yagni"…