agentsclimarketplace

Marketing ideate

Skill dasein108/slope-studio/.agent-instructions/skills/marketing-ideate

"Automated AI short-video studio: idea → published YouTube Short, $0.06/video"

Install
npx -y skills add dasein108/slope-studio --skill marketing-ideate

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

One thing to look at

  • 3 stars3 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Use when deciding WHAT short video to make next for a channel — generate falsifiable viral bets (idea + hook + assumption + goal + theme). The AGENT does the ideation (web-search current trends + recall the channel's past winners), then persists each bet to the backlog. One lego-block of the ideate→deploy→measure→learn growth loop. Pairs with marketing-guru, which picks the next bet from the backlog and reads/writes channel state.

SKILL.md

2.3 KB, as published. Nobody here has run it

marketing-ideate — generate the next bet(s)

Produce N falsifiable bets. Each bet is idea · hook (literal 0–3s scroll-stopper) · assumption (WHY it should go viral — must be falsifiable) · goal (measurable, e.g. ">P75 velocity") · theme · tags. You — the agent — do the thinking; the CLI only persists.

Do this

  1. Read state — phase + learned direction:
    studio marketing journal --channel <name>
    
  2. Gather live signal (don't bet from stale memory): use WebSearch for trending formats/hooks/narratives/news pegs in the niche + what comparable channels are blowing up with this week.
  3. Recall what worked here:
    studio marketing recall "<niche / current direction / candidate theme>" --channel <name>
    
  4. Reason the bets yourself:
    • Cold-start (<10 deployed): maximize DIVERSITY — vary theme, hook style, emotion to map what this audience rewards.
    • Optimizing (≥10): lean into the recalled winning patterns, but make ≥1 exploration bet into adjacent territory (the 40% — see the backlog section in marketing-guru).
  5. Persist each (no LLM, just I/O):
    studio marketing add "<idea>" --hook "<hook>" --assumption "<why>" --goal "<target>" \
      --theme "<theme>" --tags "a,b,c" --channel <name>      # add --exploit for an exploit bet
    

Fallback (scripted, non-agent)

studio marketing ideate --provider <llm> --signals <file> --niche "<niche>" --n 3 runs the built-in LLM generator and writes the bets for you. Use only when you want a quick draft without agent reasoning.

Writes planned entries → the backlog; reads strategy (long-term) + episodic recall. Memory model: docs/50-marketing/memory.md.

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.