packaging
Skill2 starsChanged 47 days agoMITView on GitHub
A video's titles, thumbnail and description, scored with the channel's calibrated rubric. Triggered by "give me titles", "score this title", "review my thumbnail", "improve the packaging". In Spanish, "dame títulos", "puntúa este título", "revisa mi miniatura", "mejora el packaging".
2 other projects use a version of this.
Adopted by
Most recently taken up by
- ekala-project/ekala-claude-skillstheir own version, first seen Oct 13, 2026
- Build-Fractal/orchestratortheir own version, first seen Jun 2, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 2
- Build-Fractal/orchestrator★ 1same name
- ekala-project/ekala-claude-skills★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository23 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- llms.txtllms.txt
- analyse-channel-packagingSkill
- analyse-thumbnailsSkill
- channel-analyticsSkill
- channel-identitySkill
- channel-kickoffSkill
- competitor-boardSkill
- competitor-ideationSkill
- competitor-mappingSkill
- competitor-scanSkill
- image-generation-coreSkill
- image-refinementSkill
- keywords-seoSkill
- likeness-preservationSkill
- memory-reviewSkill
- monetisationSkill
- script-writingSkill
- thumbnail-best-practicesSkill
- thumbnail-inspirationSkill
- transparencySkill
- youtube-banner-specSkill
- youtube-profile-specSkill
The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 3 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 23
Do not chase the score: If an honest title scores 78 and an exaggerated one scores 95, recommend the 78 and say why.
- Distinctive: line 44
Look at how the niche's live outliers are titling right now.
- Very specific: line 65
Check that title and thumbnail are not communicating the same concept.
- Distinctive: line 85
Never say a title "is going to work".
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Packaging: titles and thumbnails
WHEN
Generating or evaluating titles, diagnosing a thumbnail, reviewing the title+thumbnail pair, writing the description and tags.
EXECUTION ORDER
- Score the titles — mandatory, never opine first
python3 tools/score_titles.py --title "A || B || C"Returns 0-100 with a per-axis breakdown and the memory justifying each point. It isheuristic: you must declare it is an own rubric, not a CTR prediction, and that it is unvalidated until the Studio CSV is ingested.
1b. Two rules about the number, before you look at it
Do not chase the score. If an honest title scores 78 and an exaggerated one scores 95, recommend the 78 and say why. The rubric measures resemblance to what worked, not whether the title is true; well-built clickbait scores high and damages the channel.
Scores are only comparable within the same call. Score the current title
ALONGSIDE the candidates, in one run
(--title "current || A || B || C"). Comparing today's number with another
session's is not valid. And only propose a candidate that beats the current
one strictly: a tie is not an improvement.
- Demand backing
The first one wins: those are terms people already reached the channel with. The second is a proxy and only ranks candidates against each other.python3 tools/yt_search_terms.py --days 90 # REAL demand, first python3 tools/kw_research.py --kw "candidate 1; candidate 2" - Real references, not intuition
python3 tools/yt_outliers_channels.py --min-ratio 2.5Look at how the niche's live outliers are titling right now. - The thumbnail
python3 tools/yt_thumbnails.py --video ID python3 tools/score_thumbnail.py --video ID --title "the chosen title"score_thumbnailonly scores the automatic 40%. It returns the other 60% as unanswered questions, and you must answer them by opening the JPG with vision. Inventing that 60% is the failure this tool is designed to prevent. - If the thumbnail has to be CREATED, not just judged
This skill scores what exists. To generate it:
image-generation-core(base rules) +thumbnail-best-practices(design), andlikeness-preservationif a face appears. If there is a specific reference to work from,thumbnail-inspiration. A generated image comes back assource: generated: you cannot score it and then present that score as a CTR forecast. - Anti-redundancy contrast — the step most often skipped
Check that title and thumbnail are not communicating the same concept. If
the hard number is in the title, the thumbnail shows the visual result. If
memory/sop/niche_bend_sop.mdexists, its lessons outrank any general rule.
SOURCES
Steps 1 and 2b heuristic — always declare it. Step 2a youtube_api.
Steps 3 and 4a derived. Step 4b is mixed: derived in the pixels, the
agent's judgement for the rest.
OUTPUT
- The titles ranked by score, with the per-axis breakdown.
- One line per title explaining which axis lifts or sinks it, citing the memory.
- The thumbnail diagnosis with the judgement axes already answered after looking at the image.
- The title-thumbnail contrast: which angle each one covers.
Never say a title "is going to work". Say which real video it resembles, and why.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

