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Tiktok slideshow

Skill MoizIbnYousaf/marketing-cli/skills/tiktok-slideshow

Agent-native marketing CLI: 58 skills, 5 research agents, brand memory that compounds across sessions, and a local Studio dashboard. One npm install, then /cmo in your coding agent.

Install
npx -y skills add MoizIbnYousaf/marketing-cli --skill tiktok-slideshow

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

What its author says it does

Copied from the file, not written here

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 positioning angle. Triggers on "TikTok slideshow", "TikTok video", "make TikTok", "slideshow video", "TikTok content".

SKILL.md

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/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

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.