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Avenox thumbnail

Skill avenoxai/avenoxskills/skills/avenox-thumbnail

Production agent skills for Claude Code, Cursor, and any SKILL.md harness — Codex fleets, video pipeline, monorepo review bundles, multi-chain explorer.

Install
npx -y skills add avenoxai/avenoxskills --skill avenox-thumbnail

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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  • 11 days oldThe repository was created 11 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
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What its author says it does

Copied from the file, not written here

Generate high-CTR YouTube thumbnails for a mascot-driven channel using parallel gpt-image-2 jobs via the Codex CLI. Use whenever the user asks for a thumbnail, cover, or thumbnail alternatives for a video, wants their mascot on a cover, or asks to retrofit new thumbnails onto old videos. Produces on-model mascot + a big 2-4 word hook + tool logos + high-contrast covers, saved 1280x720 ready for YouTube A/B testing.

SKILL.md

5.2 KB, as published. Nobody here has run it

Thumbnail Factory

A systematic pipeline for producing scroll-stopping YouTube thumbnails for a mascot-driven channel. It encodes the formula, the working prompt recipe, the hook-pattern playbook, and the hard safety rules learned in production.

Built for anonymous / faceless channels: the mascot is the face, so the covers stay consistent without ever putting a person on screen.

Anonymity rule: never put the creator's real name, personal handle, or likeness on a thumbnail. If the channel is anonymous, the mascot is the identity — breaking that once is not reversible.

Configure before first use

SettingWhereExample
Mascot reference imageassets/mascot-ref.pngsee assets/README.md
Mascot on-model contractreferences/character-and-safety.mdfill in the contract block
Hook languageprompt (HOOK_LANG)Turkish, English, …
Output dir$THUMB_OUT~/Desktop/thumbnails

The formula

Every thumbnail = 4 ingredients, nothing more (3-element rule; blink-test first — if it doesn't read in a quarter second at sidebar size, it failed):

  1. The mascot — on-model, expressive pose that fits the video's emotion.
  2. One 2-4 word hook — MASSIVE bold sans-serif caps, white + ONE accent word, thick black outline. Never duplicate the video title; open a curiosity gap that the title and video close.
  3. Relevant tool logo(s) — so the topic is legible in one glance.
  4. High-contrast modern background — dark + one strong accent color (red = urgency, green = success, blue = tech, purple = automation, gold = money). Bright, saturated, clean.

Design levers (apply, don't just decorate): curiosity gap • negativity/risk • contrast (before/after, ✓/✗) • tangible number or timeframe • authority • one clear focal point • lower-right corner kept clear (YouTube stamps the duration there) • text left / mascot right reads best.

Full hook playbook → references/hook-patterns.md.

Standard workflow

  1. Read the video — title + description/topic. Identify the single most clickable angle.
  2. Propose hooks (unless told "just fire") — 2-3 distinct concept directions: hook words + composition + which logo + which pattern. Let the user pick, or fire all as alternatives.
  3. Fire in PARALLEL — one codex exec gpt-image-2 job per concept, all run_in_background: true in a single message. The user wants alternatives; compute isn't the constraint. Recipe → references/prompt-template.md.
  4. Save all outputs to $THUMB_OUT with descriptive names (<video>-<letter>-<hook>.png).
  5. md5-dedupe after the batch — parallel gpt-image-2 jobs can occasionally return duplicate images. Re-fire any duplicate solo.
  6. Show + recommend — look at each PNG, give an honest verdict, say which title it pairs with, and make an A/B recommendation.
  7. Deliver finalssips -z 720 1280 <file> (exact YouTube 1280×720, under 2MB) and copy out with a clear name.

Mascot contract

The mascot must stay on-model every time — same colors, same outline weight, same face. That consistency is the brand recognition; a mascot that drifts is worth less than no mascot.

Costumes and props are fine (hat, vest, holding an object) as long as the body and face still read as the same character.

HARD SAFETY RULE — never violate: do NOT pose the mascot with a straight raised outstretched arm / open palm. With a crowd or army behind it, that reads as a fascist salute and will get the thumbnail flagged. Commander/hero poses must keep both arms bent and occupied (holding a banner or sword, hand on hip, fist raised, presenting to the side). Vary poses across a batch — don't reuse an identical stance.

Full contract, expression menu, and safe-pose list → references/character-and-safety.md.

Series rule

For a numbered series, never bake the episode number into the thumbnail — it makes viewers watch only Part 1. Give each episode a distinct, standalone hook that fits that episode, and vary the accent color and pose so the covers don't look like copies of each other. Copy-paste covers read as "already watched".

References

FileRead for
references/prompt-template.mdthe exact working codex exec gpt-image-2 command + prompt skeleton, non-Latin text handling, sizes, output handling
references/hook-patterns.mdthe hook/title pattern library and how to map a video to hooks
references/character-and-safety.mdmascot on-model contract, expressions, poses, safety rules
references/logo-library.mdhow to fetch and rasterize brand logos

Requires the codex-fleet skill for the underlying Codex CLI image runner.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.