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.
npx -y skills add MoizIbnYousaf/marketing-cli --skill tiktok-slideshowAssembled 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
6.9 KB, as published. Nobody here has run it
/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:
- Read brand files (positioning, audience, voice)
- User selects positioning angle
- Generate up to 5 scripts using 5 storytelling frameworks (AIDA, PAS, BAB, Star-Story-Solution, Stat-Flip). User may select fewer at the gate.
- Each script uses the brand voice from
brand/voice-profile.mdfor tone, vocabulary, and signature phrases - Present all 5 scripts for approval
- 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:
- Paper-marketing Phase 1 (Load Brand) proceeds as normal
- Skip Phase 2a-2d — the content specs already exist from Phase 1
- Instead, read the 5 content spec YAMLs from
marketing/content-specs/ - Each content spec has a
visual_directionfield — use that to set each agent's design brief - Each agent gets its content spec's unique script (different slides, different narrative)
- Each agent loads the
/frontend-designskill for design quality - Spawn agents — number depends on how many scripts the user approved (could be 3-5)
Script-to-design mapping from content specs:
| Content Spec | Visual Direction | Framework |
|---|---|---|
{project}-aida.yaml | typographic | AIDA |
{project}-pas.yaml | contrast-play | PAS |
{project}-bab.yaml | atmospheric | BAB |
{project}-story.yaml | editorial | Star-Story-Solution |
{project}-statflip.yaml | data-led | Stat-Flip |
- User reviews all designs, selects favorite(s)
- Extract
get_jsx()from selected artboard(s) - 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:
- Detect handoff YAML from Phase 2
- ffmpeg slice the exported PNG into individual slides
- User selects tier (v1 Quick / v1.5 Enhanced / v2 Full)
- Assemble video at chosen tier
- 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:
| Block | Standalone Use |
|---|---|
/slideshow-script | Generate scripts for any format (Instagram carousel, YouTube, email) |
/paper-marketing | Design any visual content (not just slideshows) |
/video-content | Assemble 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
| Failure | Action |
|---|---|
| Sub-skill not installed | Stop, recommend mktg update, do not proceed |
| Phase 1 scripts rejected | Revise scripts with user feedback, do not advance to Phase 2 |
| Paper MCP unavailable | Fall back to manual slide creation; user provides PNGs |
| Phase 2 design export fails | User re-exports from Paper UI; agent retries video assembly |
| Phase 3 video assembly fails | Check ffmpeg/Remotion installation, retry with v1 tier first |
Anti-Patterns
| Anti-Pattern | Instead |
|---|---|
| Skipping human gates between phases | Always wait for user approval at each gate |
| Running all 3 phases without stopping | Each phase has an explicit gate — never auto-advance |
| Generating all 5 when user only wants 2 | Respect user selection at Phase 1 gate |
| Re-using the same visual direction for all designs | Each content spec maps to a unique visual direction |
| Loading sub-skills via Bash instead of reading SKILL.md | Load 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