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Agent skill

Viral Tech Reel Editor

by tornikebolokadze1-cyber in tornikebolokadze1-cyber/awesome-ai-pulse-georgia

End-to-end viral tech reel production for Instagram Reels and TikTok using 2026 trend grammar — retention-first pacing, punch-ins, 3D cinematic AI-generated shots, motion design graphics, proof…

CC0-1.0Auto-check passedMedia & Creative

Install Viral Tech Reel Editor

skills CLI
$ npx skills add tornikebolokadze1-cyber/awesome-ai-pulse-georgia --skill viral-tech-reel-editor -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install tornikebolokadze1-cyber/awesome-ai-pulse-georgia viral-tech-reel-editor --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/tornikebolokadze1-cyber/awesome-ai-pulse-georgia.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skill-patches/viral-tech-reel-editor .claude/skills/viral-tech-reel-editor && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
viral-tech-reel-editor
GitHub stars
143
Token cost
~3k tokens
SKILL.md length
1,384 words
Files
2 (incl. references)
Skills in repo
1
Repo updated
First seen
Licence
CC0-1.0

At a glance

End-to-end viral tech reel production for Instagram Reels and TikTok using 2026 trend grammar — retention-first pacing, punch-ins, 3D cinematic AI-generated shots, motion design graphics, proof…

  • Works in 9 steps: Pacing — visual-change rhythm… → Main-shot motion — punch-ins, zoom-outs,… → Proof layer — contextual b-roll:… → …
  • Finalize a vertical video/reel from talking-head
  • SKILL.md covers Start Rule, Full Framework Rule, Edit Profile (tune before… and Core Workflow, plus 3 more sections
  • Calls python; needs ELEVENLABS_API_KEY

What it does

Viral Tech Reel Editor is an agent skill from tornikebolokadze1-cyber/awesome-ai-pulse-georgia. End-to-end viral tech reel production for Instagram Reels and TikTok using 2026 trend grammar — retention-first pacing, punch-ins, 3D cinematic AI-generated shots, motion design graphics, proof b-roll, trending SFX, karaoke captions (Georgian/English), safe-zone layout, and QA-gated 1080x1920 export. This skill should be used when the user asks to edit, montage, cut, caption, or finalize a vertical video/reel from talking-head, screen recording, voiceover, or mixed footage (e.g. "დაამონტაჟე", "რილის ედითი…

Its SKILL.md is about 3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/broll-sourcing.md`).

It sits in Media & Creative, covering Motion graphics and Text to speech and voice. It works with Instagram and TikTok. The repository describes itself as: A curated collection of cutting-edge AI agent frameworks, developer tools, and automation resources — by AI Pulse Georgia. The licence is CC0-1.0.

When your agent uses it

  • Finalize a vertical video/reel from talking-head
  • Screen recording
  • Mixed footage (e.g

Example prompts

  • “edit this reel”
  • “add captions and b-roll”
  • “/viral-tech-reel-editor”

Requirements

  • Python 3
  • A credential in ELEVENLABS_API_KEY

Workflow steps

9 steps, taken from the first numbered list in SKILL.md.

  1. Pacing — visual-change rhythm (punch-ins, overlay/b-roll swaps, reveals) tied to beats. Default = NO-CUT: the creator's A-roll is already…
  2. Main-shot motion — punch-ins, zoom-outs, reframes, visual resets tied to key words and story beats.
  3. Proof layer — contextual b-roll: product/UI footage, extracted promo clips, window-only screen recordings, diagrams, recreated demos that…
  4. Cinematic layer — at least one 3D/AI-generated cinematic or high-end motion set-piece on the hook or payoff (see…
  5. Motion design — kinetic typography, lower thirds, counters, HUD/diagram animation where they clarify.
  6. Sound design — license-clear trending SFX mixed clearly under speech; loudness-normalized output.
  7. Captions — word-accurate karaoke captions, Georgian/English term accuracy, safe placement.
  8. Layout — deliberate vertical canvas use with ZERO collisions (face, hands, captions, PiP, UI, diagrams).
  9. QA evidence — contact sheet, loudness report, and a note stating which pillars passed (scripts/qa_report.py).

What it can do on your machine

Read from SKILL.md and the folder at commit e7e39f4. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • ELEVENLABS_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Viral Tech Reel Editor loads about 3k tokens when it runs, and up to ~4.6k if it reads all its reference files. Until then it costs about 168 tokens; SKILL.md has 1,384 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~168
When it runs · the whole SKILL.md, loaded when a task matches
~3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from tornikebolokadze1-cyber/awesome-ai-pulse-georgia at commit e7e39f4, republished under its CC0-1.0 licence (© tornikebolokadze1-cyber). 1,384 words, ~3,026 tokens.

Download SKILL.mdSave it as .claude/skills/viral-tech-reel-editor/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
viral-tech-reel-editor
description
End-to-end viral tech reel production for Instagram Reels and TikTok using 2026 trend grammar — retention-first pacing, punch-ins, 3D cinematic AI-generated shots, motion design graphics, proof b-roll, trending SFX, karaoke captions (Georgian/English), safe-zone layout, and QA-gated 1080x1920 export. This skill should be used when the user asks to edit, montage, cut, caption, or finalize a vertical video/reel from talking-head, screen recording, voiceover, or mixed footage (e.g. "დაამონტაჟე", "რილის ედითი გააკეთე", "edit this reel", "add captions and b-roll"). Not for script-only writing (viral-reel-generator) or static posts (georgian-smm).

Viral Tech Reel Editor (2026)

Premium, retention-first vertical reel production: understand the video, transcribe precisely, design the timeline, build all visual/audio layers, render, and self-check before delivery. Treat every edit as a full production pass, never a captions-only pass.

Start Rule

For every end-to-end edit, create a Goal if a Goal/Todo tool is available, covering the FULL delivery (not just the first technical step). Otherwise maintain an explicit written checklist. Do not mark complete until final export AND the QA gate pass. Before any work, load references/style-memory.md — it contains binding user preferences and prior feedback.

Full Framework Rule

Never deliver a plain "clean baseline" talking-head edit unless the user explicitly requests a minimal edit. A valid edit applies ALL pillars:

  1. Pacing — visual-change rhythm (punch-ins, overlay/b-roll swaps, reveals) tied to beats. Default = NO-CUT: the creator's A-roll is already edited — never trim, chop, or silence-cut the host's voice track. Only run scripts/silence_cut.py if the user explicitly asks for cutting on a raw, uncut recording.
  2. Main-shot motion — punch-ins, zoom-outs, reframes, visual resets tied to key words and story beats.
  3. Proof layer — contextual b-roll: product/UI footage, extracted promo clips, window-only screen recordings, diagrams, recreated demos that clarify the spoken idea. AUTO by default: resolve every proof beat automatically by walking the b-roll ladder in references/broll-sourcing.md (owned → official → contextual free stock → recreate → AI-generate) — never ask per-insert; only escalate on a rights/safety/fabrication blocker.
  4. Cinematic layer — at least one 3D/AI-generated cinematic or high-end motion set-piece on the hook or payoff (see references/cinematic-3d.md).
  5. Motion design — kinetic typography, lower thirds, counters, HUD/diagram animation where they clarify.
  6. Sound design — license-clear trending SFX mixed clearly under speech; loudness-normalized output.
  7. Captions — word-accurate karaoke captions, Georgian/English term accuracy, safe placement.
  8. Layout — deliberate vertical canvas use with ZERO collisions (face, hands, captions, PiP, UI, diagrams).
  9. QA evidence — contact sheet, loudness report, and a note stating which pillars passed (scripts/qa_report.py).

If a pillar cannot be applied: source, download, record, recreate, generate, or design the missing layer. If still impossible, state the blocker in QA notes and ask the user. Convenience is never a valid reason to omit b-roll, SFX, punch-ins, or pacing work.

Edit Profile (tune before building)

Set these from the user request + style memory; state chosen values in the plan.

ParameterRangeTikTok defaultIG Reels default
EDIT_INTENSITY (visual-change density — NOT voice cutting; A-roll stays intact)1–1087
MOTION_DENSITY (punch-ins/graphics movement)1–1076
SFX_DENSITY (SFX per 10s)1–532–3
CINEMATIC_RATIO (generated/3D share of runtime)5–30%15%15–20%
CAPTION_PRESETminimal-pro / kinetic-bold / karaoke-cleankinetic-boldminimal-pro

Higher intensity = more frequent visual changes (overlay/b-roll swaps, punch-ins, reveals), NOT shorter voice segments — the host's track is never re-cut. Tech-explainer content for Tornike's audience usually sits at intensity 7 with proof-heavy layers rather than gimmick transitions.

Core Workflow

  1. Intake: source files, platform(s), target duration, language, CTA, brand layer. Prior user feedback = binding style direction.
  2. Transcribe first: scripts/elevenlabs_stt.py (ElevenLabs Scribe, word timestamps) → scripts/elevenlabs_words_to_captions.py for caption groups/SRT/VTT. Fall back to Whisper/HyperFrames transcription only if ElevenLabs is unavailable.
  3. Understand before editing: build a beat map — hook, context, proof/demo, tension, payoff, CTA. Verify names, model numbers, technical terms, Georgian/English wording. Identify spoken search keywords (2026 social-search ranking — keep them audible and captioned).
  4. Trend pass: read references/trends-2026.md. If its snapshot is >30 days old or the user asks for "latest trends", refresh it per the instructions inside.
  5. Plan all layers on the beat map: cut plan (scripts/silence_cut.py), proof b-roll plan (references/broll-sourcing.md), cinematic set-pieces (references/cinematic-3d.md), motion graphics + SFX map (references/motion-grammar.md, references/sfx-palette.md).
  6. Choose build path (references/tooling.md): FFmpeg for base cut/audio/packaging; HyperFrames for HTML-first overlays, captions, diagrams (MCP compose in claude.ai, CLI locally); Remotion for frame-accurate React/3D components; Higgsfield/imagegen for generated shots.
  7. Layout before animation: generate the platform overlay with scripts/safe_zone_overlay.py and design against it (references/captions-layout.md).
  8. Motion pass: apply the grammar in references/motion-grammar.md — cut rhythm, punch-in sizes, easing tokens, transition whitelist, beat/speech-accent sync.
  9. Build and validate: lint/still-frame checks in the chosen tool; inspect hero frames and the densest caption moments before rendering.
  10. Render and QA: run scripts/qa_report.py (stream info + loudness + contact sheet), then walk references/qa-checklist.md. Deliver a phone-openable file/link + QA notes listing pillar evidence. Append distilled feedback to references/style-memory.md.
Show full SKILL.md (690 more words)Show less

Non-Negotiables

  • NO-CUT (A-roll integrity): the creator's recording is pre-edited. Never cut, trim, shorten, or silence-trim the host's voice/main track. Final A-roll duration must equal the source. Add value by layering OVER the timeline, never by re-cutting it. (Cutting only on explicit request for a raw recording.)
  • Audio = SFX only by default: no background-music bed for this creator unless explicitly requested. Keep voice + contextual SFX. If a bed is ever requested, it stays heavily ducked.
  • Fill the canvas: when the host is in PiP or a partial layout, the rest of the screen MUST be filled — full-bleed b-roll, full-screen motion/infographic, or split-screen. Large persistent dead bands (especially below captions or beside a PiP) are a QA fail. Only a small, deliberate margin around a single hero element counts as breathing room.
  • Layer order is fixed: the host (face) is always the TOP visible layer — never behind an infographic or b-roll. Captions never land on the face/mouth or on the PiP. B-roll never covers the PiP when free space exists. Zero element collisions at any frame.
  • PiP variety: rotate the host's PiP across different corners AND shapes through the reel; never one static corner/shape. In PiP the face must sit fully inside the frame, centered — never cropped at the chin or top.
  • Image fit: inserted photos/screenshots use contain, centered, key subject never cropped; pad to the frame, never crop to fill.
  • Transitions clean + on-trend: use 2026-trend transitions (flash / whip / pink camera-flash / CapCut "Glare II"-style) deliberately; never leave transition residue, stray frames, or janky zoom. A "dirty" transition is a fail.
  • Maximize canvas use, never by stacking conflicting elements.
  • Never cover the speaker's face, mouth, chin, eyes, expressive hands, or critical on-screen UI with any overlay.
  • Captions, cards, labels, PiP panels must never collide with each other.
  • Never use random stock b-roll as filler. Every proof visual must prove, clarify, or intensify the spoken idea.
  • Never skip the proof layer just because the source is talking-head — create it (diagram, recreated UI, source card, window recording).
  • Skip promo moments containing presenters/unrelated humans unless explicitly requested; prefer product UI, demos, cursor actions, terminal output, before/after.
  • Screen recordings: capture only the relevant app/window or crop tightly. Never include the whole desktop, private files, notifications, API keys, unrelated windows.
  • SFX support a specific event (cut, zoom, reveal, caption pop, typing beat, riser) — audible but never fighting the voice. No SFX-on-every-cut.
  • Keep Georgian and English technical terms exact. Never introduce Russian. Never render tofu glyphs — verify the font supports Georgian before use.
  • Mark photoreal AI-generated segments per platform disclosure rules (TikTok/IG AI labels, 2026).
  • Avoid everything in references/anti-slop.md. Prefer native social rhythm: fast, clear, proof-heavy, visually alive.
  • Render-safety (HyperFrames): never setpts-slow a clip (renders black — loop with -g 15 instead); one <video> per data-track-index; never duplicate the host/face src; chunk Scribe for long audio; Georgian needs line-height ≥ 1.3 + display:block stacked node labels; INSPECT RENDERED FRAMES, not lint. Full list: references/hyperframes-render.md.
  • Deliver phone-openable files/links plus what was checked. Never stop at localhost or an unrendered source file.

Reference Routing (load only what the task needs)

FileWhen to load
references/workflow.mdFull production pass, artifact/folder structure, multi-platform delivery
references/tooling.mdChoosing/driving ElevenLabs, HyperFrames, Remotion, FFmpeg, Higgsfield, imagegen
references/hyperframes-render.mdHyperFrames render gotchas: black/empty cards, video-per-track, slow-vs-loop, Scribe chunking, fonts, frame-inspection (load before any HyperFrames render)
references/trends-2026.mdEvery serious edit (trend pass) + refresh protocol
references/motion-grammar.mdCuts, punch-ins, speed ramps, transitions, easing, motion-graphics kit, beat sync
references/cinematic-3d.md3D cinematic set-pieces, AI video generation, 2.5D parallax, Remotion+Three
references/broll-sourcing.mdProof visuals: promo extraction, recordings, recreated UI, source safety
references/sfx-palette.mdSFX selection, sourcing, event mapping, mix levels
references/captions-layout.mdCaption grouping/typography (Georgian fonts), safe zones, PiP, collisions
references/anti-slop.mdBefore locking the design + final self-scan
references/style-memory.mdALWAYS first; append after delivery
references/qa-checklist.mdFinal gate before delivery

Scripts

ScriptUsage
scripts/elevenlabs_stt.pypython scripts/elevenlabs_stt.py input.mp4 --out transcript.json [--language-code ka] — Scribe STT with word timestamps (needs ELEVENLABS_API_KEY)
scripts/elevenlabs_words_to_captions.pypython scripts/elevenlabs_words_to_captions.py transcript.json --out-json captions.json --out-srt captions.srt --out-vtt captions.vtt — word groups for karaoke captions
scripts/silence_cut.pypython scripts/silence_cut.py input.mp4 --plan cutplan.json [--render tight.mp4] — silence detection → cut plan → optional tightened render
scripts/safe_zone_overlay.pypython scripts/safe_zone_overlay.py --platform tiktok --out overlay.png — safe-zone PNG + ffmpeg preview command
scripts/qa_report.pypython scripts/qa_report.py final.mp4 --outdir qa/ — stream specs, LUFS/true-peak, contact sheet, pass/fail report

© tornikebolokadze1-cyber, CC0-1.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skill-patches/viral-tech-reel-editor of tornikebolokadze1-cyber/awesome-ai-pulse-georgia.

  • SKILL.md
  • references/broll-sourcing.md

Open the folder on GitHubat commit e7e39f4

Compare with similar skills

Viral Tech Reel Editor next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Viral Tech Reel Editor compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Viral Tech Reel Editor this skilltornikebolokadze1-cyber/awesome-ai-pulse-georgia143—~3kAutomated safety check: PassCC0-1.0
Motion Adfabricioctelles/skills106—~4.1kAutomated safety check: PassApache-2.0
Motion Video in Remotionooiyeefei/ccc495—~2.9kAutomated safety check: PassMIT
Model Showdowncharlie947/motion-graphics-skills180—~1.1kAutomated safety check: PassMIT
Motion Adnodetool-ai/nodetool560—~3.4kAutomated safety check: PassAGPL-3.0
Paw Cra Agent Video Producerpawbytes/skill-suites113—~2.3kAutomated safety check: PassMIT

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Works with

Categories

Questions about Viral Tech Reel Editor

What does Viral Tech Reel Editor do?

End-to-end viral tech reel production for Instagram Reels and TikTok using 2026 trend grammar — retention-first pacing, punch-ins, 3D cinematic AI-generated shots, motion design graphics, proof…. Viral Tech Reel Editor is an agent skill from tornikebolokadze1-cyber/awesome-ai-pulse-georgia. End-to-end viral tech reel production for Instagram Reels and TikTok using 2026 trend grammar — retention-first pacing, punch-ins, 3D cinematic AI-generated shots, motion design graphics, proof b-roll, trending SFX, karaoke captions (Georgian/English), safe-zone layout, and QA-gated 1080x1920 export.

When should I use Viral Tech Reel Editor?

Viral Tech Reel Editor fits situations like: finalize a vertical video/reel from talking-head; screen recording; mixed footage (e.g.

How do I install Viral Tech Reel Editor in Claude Code?

Run `npx skills add tornikebolokadze1-cyber/awesome-ai-pulse-georgia --skill viral-tech-reel-editor -a claude-code`. Or copy the skill folder (skill-patches/viral-tech-reel-editor in tornikebolokadze1-cyber/awesome-ai-pulse-georgia) into .claude/skills/viral-tech-reel-editor in your project. Claude Code loads it when a task matches its description.

How do I install Viral Tech Reel Editor in Codex?

Run `npx skills add tornikebolokadze1-cyber/awesome-ai-pulse-georgia --skill viral-tech-reel-editor -a codex`. Or copy the skill folder (skill-patches/viral-tech-reel-editor in tornikebolokadze1-cyber/awesome-ai-pulse-georgia) into .agents/skills/viral-tech-reel-editor in your project. Codex loads it when a task matches its description.

Can I use Viral Tech Reel Editor in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add tornikebolokadze1-cyber/awesome-ai-pulse-georgia --skill viral-tech-reel-editor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/viral-tech-reel-editor, .gemini/skills/viral-tech-reel-editor, .github/skills/viral-tech-reel-editor and .opencode/skills/viral-tech-reel-editor in your project.

What does Viral Tech Reel Editor need to run?

Going by SKILL.md and its folder, Viral Tech Reel Editor needs the command-line tools its instructions call (python) and credentials named ELEVENLABS_API_KEY. Our summary lists: Python 3; A credential in ELEVENLABS_API_KEY.

Does Viral Tech Reel Editor access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Viral Tech Reel Editor safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Viral Tech Reel Editor use?

Viral Tech Reel Editor is published under the CC0-1.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Viral Tech Reel Editor use?

About 3k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.5k tokens, read only when the agent opens those files.

What are the alternatives to Viral Tech Reel Editor?

Skills that share tags, products or a category with Viral Tech Reel Editor: Motion Ad (fabricioctelles/skills, 106 stars), Motion Video in Remotion (ooiyeefei/ccc, 495 stars), Model Showdown (charlie947/motion-graphics-skills, 180 stars) and Motion Ad (nodetool-ai/nodetool, 560 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Viral Tech Reel Editor?

tornikebolokadze1-cyber (a GitHub user) maintains it in tornikebolokadze1-cyber/awesome-ai-pulse-georgia, which has 143 GitHub stars. The repository was last updated on October 10, 2026.

Source: tornikebolokadze1-cyber/awesome-ai-pulse-georgia on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.