Skillquality 0.46

tiktok-slideshow

Orchestrator skill that chains /slideshow-script → /paper-marketing → /video-content for end-to-end TikTok slideshow production. Each phase is an independent Lego block — this orchestrator is just one recipe that combines them. Produces 5 publishable TikTok videos from a single p

Price
free
Protocol
skill
Verified
no

What it does

/tiktok-slideshow — End-to-End TikTok Content Pipeline

Orchestrator that chains 3 atomic skills into a complete TikTok production pipeline:

/slideshow-script  →  /paper-marketing  →  /video-content
   (5 scripts)         (5 designs)          (5 videos)

Each skill is a Lego block that works independently. This orchestrator is one recipe.

Architecture

Phase 1: SCRIPT  — /slideshow-script generates 5 narrative scripts
Phase 2: DESIGN  — /paper-marketing creates 5 visual designs (1 per script)
Phase 3: VIDEO   — /video-content assembles videos from designs

Platform spec: TikTok 1080×1920, 9:16, 30fps, H.264

Prerequisites

Before starting, verify all 3 sub-skills are installed:

  • ~/.claude/skills/slideshow-script/SKILL.md
  • ~/.claude/skills/paper-marketing/SKILL.md
  • ~/.claude/skills/video-content/SKILL.md

If any sub-skill is missing, tell the user and recommend mktg update to install it. Do not proceed without all 3.

Workflow

Phase 1: SCRIPT

Load the /slideshow-script skill at ~/.claude/skills/slideshow-script/SKILL.md and follow its workflow:

  1. Read brand files (positioning, audience, voice)
  2. User selects positioning angle
  3. Generate up to 5 scripts using 5 storytelling frameworks (AIDA, PAS, BAB, Star-Story-Solution, Stat-Flip). User may select fewer at the gate.
  4. Each script uses the brand voice from brand/voice-profile.md for tone, vocabulary, and signature phrases
  5. Present all 5 scripts for approval
  6. Write 5 content spec YAMLs to marketing/content-specs/

Gate: User must approve scripts before Phase 2.

Phase 2: DESIGN

Load the /paper-marketing skill at ~/.claude/skills/paper-marketing/SKILL.md and follow its workflow, with these orchestrator-specific instructions:

  1. Paper-marketing Phase 1 (Load Brand) proceeds as normal
  2. Skip Phase 2a-2d — the content specs already exist from Phase 1
  3. Instead, read the 5 content spec YAMLs from marketing/content-specs/
  4. Each content spec has a visual_direction field — use that to set each agent's design brief
  5. Each agent gets its content spec's unique script (different slides, different narrative)
  6. Each agent loads the /frontend-design skill for design quality
  7. Spawn agents — number depends on how many scripts the user approved (could be 3-5)

Script-to-design mapping from content specs:

Content SpecVisual DirectionFramework
{project}-aida.yamltypographicAIDA
{project}-pas.yamlcontrast-playPAS
{project}-bab.yamlatmosphericBAB
{project}-story.yamleditorialStar-Story-Solution
{project}-statflip.yamldata-ledStat-Flip
  1. User reviews all designs, selects favorite(s)
  2. Extract get_jsx() from selected artboard(s)
  3. Write handoff YAML(s) to marketing/handoffs/

Gate: User must select variation(s) and export PNG from Paper UI.

Phase 3: VIDEO

Load the /video-content skill at ~/.claude/skills/video-content/SKILL.md and follow its workflow:

  1. Detect handoff YAML from Phase 2
  2. ffmpeg slice the exported PNG into individual slides
  3. User selects tier (v1 Quick / v1.5 Enhanced / v2 Full)
  4. Assemble video at chosen tier
  5. ffmpeg post-process (thumbnail, GIF preview, platform encode)

For multiple selections: If user approved multiple designs, run video assembly for each. Can be parallelized — each video is independent.

Gate: User approves final video(s).

Human-in-the-Loop Gates

[Phase 1] → User approves 5 scripts
[Phase 2] → User selects design variation(s), exports PNG(s) from Paper UI
[Phase 3] → User selects video tier, approves final output

Each gate is an AskUserQuestion. The user can go back to any phase.

Output

marketing/content-specs/
  {project}-aida.yaml
  {project}-pas.yaml
  {project}-bab.yaml
  {project}-story.yaml
  {project}-statflip.yaml

marketing/handoffs/
  {project}-{variation}-handoff.yaml

marketing/video/
  {project}-{variation}/
    slides/
    output_{tier}.mp4
    thumbnail.png
    preview.gif

Reusable Blocks

Each skill in this chain works independently:

BlockStandalone Use
/slideshow-scriptGenerate scripts for any format (Instagram carousel, YouTube, email)
/paper-marketingDesign any visual content (not just slideshows)
/video-contentAssemble video from any PNGs (not just Paper exports)

Other Orchestrator Recipes (Future)

Same blocks, different combinations:

/instagram-carousel  = /slideshow-script → /paper-marketing (4:5 ratio, no video)
/youtube-short       = /slideshow-script → /paper-marketing → /video-content (16:9)
/reels-batch         = /slideshow-script (10 scripts) → /paper-marketing → /video-content × 10
/ad-creative         = /slideshow-script (1 script) → /paper-marketing (1 slide) → /video-content

Error Recovery

FailureAction
Sub-skill not installedStop, recommend mktg update, do not proceed
Phase 1 scripts rejectedRevise scripts with user feedback, do not advance to Phase 2
Paper MCP unavailableFall back to manual slide creation; user provides PNGs
Phase 2 design export failsUser re-exports from Paper UI; agent retries video assembly
Phase 3 video assembly failsCheck ffmpeg/Remotion installation, retry with v1 tier first

Anti-Patterns

Anti-PatternInstead
Skipping human gates between phasesAlways wait for user approval at each gate
Running all 3 phases without stoppingEach phase has an explicit gate — never auto-advance
Generating all 5 when user only wants 2Respect user selection at Phase 1 gate
Re-using the same visual direction for all designsEach content spec maps to a unique visual direction
Loading sub-skills via Bash instead of reading SKILL.mdLoad each skill's SKILL.md and follow its instructions

Principles

  • Skills never call skills — this SKILL.md teaches the agent the sequence; the agent loads each skill
  • Filesystem is the bus — content specs and handoffs are YAML files, not API calls
  • Human gates at every phase — no runaway agent chains
  • Progressive quality — start with v1 to verify, upgrade to v2 for production
  • All outputs are publishable — different scripts, different designs, not N versions of 1

Capabilities

skillsource-moizibnyousafskill-tiktok-slideshowtopic-agent-skillstopic-ai-agentstopic-ai-marketingtopic-brand-memorytopic-brand-voicetopic-claude-codetopic-claude-code-skillstopic-clitopic-cmotopic-marketing-automationtopic-marketing-clitopic-seo

Install

Installnpx skills add MoizIbnYousaf/marketing-cli
Transportskills-sh
Protocolskill

Quality

0.46/ 1.00

deterministic score 0.46 from registry signals: · indexed on github topic:agent-skills · 18 github stars · SKILL.md body (6,430 chars)

Provenance

Indexed fromgithub
Enriched2026-05-18 19:05:52Z · deterministic:skill-github:v1 · v1
First seen2026-05-04
Last seen2026-05-18

Agent access