create-render-profile
Build a named, reusable render profile (codec + resolution + bitrate/QP + container) by iterating on a 30-second test clip until file size and quality are…
Skill by danielrosehill
Chalk Labs
Need help deploying create-render-profile?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/danielrosehill-create-render-profile
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: testing
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/create-render-profile
Tools it pre-approves 15
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
Bash(ffmpeg*),Bash(ffprobeBash(testBash(mkdirBash(lsBash(statBash(jqBash(dateBash(realpathBash(duBash(awk
Show 3 more
Bash(numfmtRead,Write
What's inside
- Skill name
create-render-profile- Description
- Build a named, reusable render profile (codec + resolution + bitrate/QP + container) by iterating on a 30-second test clip until file size and quality are right. Use when the user says "create a render profile", "tune my YouTube preset", "I want a render preset for archival", or is frustrated with bloated GPU-encoded files. Saves to render-profiles.json for later use by render-with-profile and transcode.
- License
- MIT
- Allowed tools
- Bash(ffmpeg, *),, Bash(ffprobe, *),, Bash(test, *),, Bash(mkdir, *),, Bash(ls, *),, Bash(stat, *),, Bash(jq, *),, Bash(date, *),, Bash(realpath, *),, Bash(du, *),, Bash(awk, *),, Bash(numfmt, *),, Read,, Write
- Instructions
- 121 lines in SKILL.md · view on GitHub
Before installing
- Pre-approves some shell commands
Files (1)
- SKILL.md
SKILL.md (first lines)
# Create Render Profile
Walks the user through building a render profile interactively, with a tight feedback loop: render a short test clip, inspect file size + bitrate, tune, repeat.
This is the antidote to "GPU-encoded but bloated". The goal is a profile the user trusts — saved by name, reused across jobs.
## Procedure
### 1. Resolve the system profile
```bash
DATA_DIR="${CLAUDE_USER_DATA:-${XDG_DATA_HOME:-$HOME/.local/share}/claude-plugins}/video-editing"
PROFILE_FILE="$DATA_DIR/system-profile.json"
PROFILES_FILE="$DATA_DIR/render-profiles.json"
test -f "$PROFILE_FILE" || { echo "No system profile — run profile-system first."; exit 1; }
```
Read preferred encoders and the VAAPI render node from `system-profile.json`.
### 2. Ask the user
| Field | Example | Default |
|-------|---------|---------|
| Profile name | `youtube-1080p` | required, slugify |
| Container | mp4 / mkv / mov | mp4 |
| Codec | h264 / hevc / av1 | hevc (best size/quality) |
| Resolution | 1920x1080 / 3840x2160 / source | source |
| Framerate | 30 / 60 / source | source |
| Quality target | "small file", "YouTube", "archival" | "YouTube" |
| Sample clip | path to a representative source file | required |
Map quality target → starting QP / bitrate (per encoder). Reasonable starting points:
- VAAPI HEVC: `-qp 23` (YouTube), `-qp 20` (archival), `-qp 28` (small file)
- VAAPI H.264: `-qp 22` (YouTube), `-qp 18` (archival), `-qp 27` (small file)
- libx264/libx265: `-crf 20` / `-crf 23` / `-crf 28`
### 3. Build the ffmpeg command
For AMD VAAPI HEVC at 1080p:
```bash
ffmpeg -hide_banner -ss 0 -t 30 -i "<sample>" \
-vaapi_device "<render_node>" \
-vf 'format=nv12,hwupload,scale_vaapi=w=1920:h=1080' \
-c:v hevc_vaapi -qp <QP> \
-c:a aac -b:a 192k \
-movflags +faststart \
"<test_out>"
```
For software fallback (x265):
```bash
ffmpeg -hide_banner -ss 0 -t 30 -i "<sample>" \
-vf scale=1920:1080 \
-c:v libx265 -crf <CRF> -preset medium \
-c:a aac -b:a 192k \
-movflags +faststart \
"<test_out>"
```
Show the user the exact command before running.
### 4. Render the test clip + report
Write the test to `$DATA_DIR/test-renders/<profile-name>-<attempt>.<ext>`. After it completes:
```bash
size_bytes=$(stat -c%s "$test_out")
size_human=$(numfmt --to=iec --suffix=B "$size_bytes")
duration=$(ffprobe -v error -show_entries format=duration -of csv=p=0 "$test_out")
bitrate_kbps=$(awk -v s="$size_bytes" -v d="$duration" 'BEGIN { printf "%.0f", (s*8/1000)/d }')
```
Report:
```
Test render (attempt N):
Profile: youtube-1080p (hevc_vaapi, 1080p, qp=23)
File: 1080p-test-1.mp4 (28.4 MB, 30.0s, ~7700 kbps)
```
### 5. Iterate
Ask the user: **keep / tune / abandon**.
- **Tune**: ask which way (smaller file / better quality / different codec / different resolution). Adjust QP by ±2 or bitrate by ±20% and re-render. Loop. Show all attempts in a small table so the user sees the trade-off.
- **Abandon**: clean up the test renders, exit without saving.
- **Keep**: proceed to step 6.
### 6. Save the profile
Append to `render-profiles.json` (create if missing):
```json
{
"profiles": {
"youtube-1080p": {
"created": "<ISO-8601>",
"container": "mp4",
"codec": "hevc",
"encoder": "hevc_vaapi",
"resolution": "1920x1080",
"framerate": "source",
"rate_control": { "mode": "qp", "value": 23 },
"audio": { "codec": "aac", "bitrate": "192k" },
"extra_args": ["-movflags", "+faststart"],
"notes": "Tuned on <sample basename>: 28.4 MB / 30s / ~7700 kbps"
}
}
}
```
Write atomically (`.tmp` + `mv`).
### 7. Offer next step
Suggest `render-with-profile` to apply the new profile to a real folder. Mention `list-render-profiles` to review saved presets.From danielrosehill/Claude-Video-Editor-Plugin, MIT.
More from danielrosehill/Claude-Video-Editor-Plugin
- 0.418score
mkv-strip-tracks
danielrosehill
Remove unwanted tracks (audio, subtitle, video) from a Matroska container and save a new, smaller file.
SkillCFreshness: C★ 6Claude Code +9 - 0.418score
agentic-edit
danielrosehill
Run an agentic / LLM-driven cut-down on a long video — "make a 60-second highlight reel of this hour-long stream", "cut the boring parts from this lecture"…
SkillCFreshness: C★ 6Claude Code +9 - 0.418score
audio-analysis
danielrosehill
Extract audio from a video (or analyze a standalone audio file) and report loudness — integrated LUFS, true peak (dBTP), loudness range — against a target…
SkillCFreshness: C★ 6Claude Code +9 - 0.418score
audio-to-music-video
danielrosehill
Turn an audio file into a music video by compositing a waveform / spectrum / circular-CQT animation over cover art or a background.
SkillCFreshness: C★ 6Claude Code +9 - 0.418score
auto-cut-silences
danielrosehill
Remove silent / dead-air segments from a video or audio file using auto-editor.
SkillCFreshness: C★ 6Claude Code +9 - 0.418score
burn-graphics
danielrosehill
Overlay graphics onto a video — lower thirds, watermarks/logos, image overlays, or text titles — at specified timestamps.
SkillCFreshness: C★ 6Claude Code +9 - 0.418score
burn-subtitles
danielrosehill
Generate subtitles (whisper.cpp / faster-whisper) for a video and either save the SRT alongside or burn them into the picture.
SkillCFreshness: C★ 6Claude Code +9 - 0.418score
clean-transcription
danielrosehill
Clean up a raw whisper transcript (SRT or TXT) — strip filler words, fix recurring mistranscriptions via a per-project glossary, and (optionally) re-flow line…
SkillCFreshness: C★ 6Claude Code +9 - 0.418score
cut-segment
danielrosehill
Extract one or more time-range segments from a video.
SkillCFreshness: C★ 6Claude Code +9 - 0.418score
dedupe-clips
danielrosehill
Find duplicate or near-duplicate clips in a folder.
SkillCFreshness: C★ 6Claude Code +9 - 0.418score
delete-render-profile
danielrosehill
Delete a saved render profile by name.
SkillCFreshness: C★ 6Claude Code +9 - 0.418score
deps-setup
danielrosehill
Install optional video-editing tools (moviepy, auto-editor, video-use, VideoAgent, vit, LosslessCut, editly) plus media-inspection helpers (exiftool…
SkillCFreshness: C★ 6Claude Code +9
Signals
- Stars
- 6
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Apr 30, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from danielrosehill
- 0.470score
plugin-data-storage
danielrosehill
Canonical reference for where Claude Code plugins should persist user data.
SkillAFreshness: A★ 2Claude Code +9 - 0.470score
save-plan
danielrosehill
Save a Claude Code plan (from ExitPlanMode, design discussion, or multi-step task) to persistent storage.
SkillAFreshness: A★ 2Claude Code +9 - 0.470score
onboard
danielrosehill
First-run onboarding for the adb-ops plugin.
SkillAFreshness: A★ 2Claude Code +9 - 0.470score
context-gate
danielrosehill
One-shot context-checkpoint workflow — when the current session is getting cluttered, write a structured handover plan capturing what's done and what's…
SkillAFreshness: A★ 2Claude Code +9 - 0.470score
context-workflow-reference
danielrosehill
Reference and worked example for the CONTEXT.md / CLAUDE.md two-file workflow.
SkillAFreshness: A★ 2Claude Code +9 - 0.470score
scaffold-planning
danielrosehill
Create a lightweight `planning/` folder in the current repo with leftover-tasks.md, blockers.md, session-logs/, and handovers/.
SkillAFreshness: A★ 2Claude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get create-render-profile running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
create-render-profile skill. Agent Mart. https://agentmart.dev/skills/danielrosehill-create-render-profile (last updated 2026-10-24)