How do I install the Marketing Deploy skill?

Run npx skillmds@latest add dasein108/marketing-deploy-3 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Marketing Deploy safe to use?

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Which AI agents work with Marketing Deploy?

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Is Marketing Deploy free to use?

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Who published Marketing Deploy?

dasein108 (@dasein108) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Marketing Deploy by dasein108 — Agent Skill

Name: Marketing Deploy
Author: dasein108

Marketing Deploy

Use to produce + publish a chosen backlog bet and bind it to the journal so it can be measured later. Calls the film-maker skill to render+upload, sized to the per-video budget, then links the run. One lego-block of the growth loop. Fed by the backlog pick (marketing-guru); precedes marketing-measure-learn (after a maturation wait).

dasein108 Updated Sep 17, 2026

File contents

marketing-deploy — produce, publish, link

Turn one chosen bet (entry_id + idea, from the backlog pick in marketing-guru) into a published Short bound to its journal entry.

Do this

Get the spend cap from the channel budget (set once via studio marketing budget --channel <name> --per-video 0.60 or --per-minute 0.40):
```
CAP=$(studio marketing budget --channel <name> --for-duration <duration_s>)
```
--for-duration returns the per-video --max-cost (flat for per-video budgets; rate × length for per-minute). If it prints (budget unset), set the budget first or pass --max-cost by hand.
Produce + publish via the film-maker skill (it owns the pipeline):
```
studio estimate <run_id>            # if iterating an existing run, price stage 3 first
studio run "<idea>" --duration 60 --tier <cheap|balanced> --max-cost $CAP \
  --publish-to youtube --privacy public --channel <name>
```
--tier cheap ≈ stills + free motion; balanced spends --max-cost on AI clips for hero scenes. --max-cost is the whole-video cap (images + clips + music): run reserves the music bed and auto-downgrades paid fal music to synth if it won't fit, so total spend stays ≤ cap. Stage 3 aborts pre-flight if the clip estimate exceeds what's left. Cheapest "still alive" recipe ≈ $0.41 (free motion-* + one ≤6s ltx hook + free local music); see docs/10-architecture/cost-model.md for the ladder.
Link the run to the bet (so measure can find the video):
```
studio marketing link <entry_id> <run_id> --channel <name>
```
Pulls the YouTube id from runs/<run_id>/07_publish.json; sets status: deployed.
Wait before measuring — give the Short 48–72h+ to accrue watch time.

Notes

link also captures production telemetry — cost, duration, animators/fx/model, and per-stage providers — from the run manifest into the bet (T3), so learn can attribute success to the effects used and you can track spend per bet.
Repeat backlog→deploy until ~10 videos are live to exit cold-start.

Writes run_id, video_id, video_url, status: deployed, plus telemetry (cost_usd, duration_s, tier, video_model, animators, effects, providers, n_scenes) onto the entry. Memory model: docs/50-marketing/memory.md.

---name: marketing-deploy-3description: Use to produce + publish a chosen backlog bet and bind it to the journal so it can be measured later. Calls the film-maker skill to render+upload, sized to the per-video budget, then links the run. One lego-block of the growth loop. Fed by the backlog pick (marketing-guru); precedes marketing-measure-learn (after a maturation wait).---# marketing-deploy — produce, publish, linkTurn one chosen bet (`entry_id` + idea, from the backlog pick in marketing-guru) into apublished Short bound to its journal entry.## Do this1. **Get the spend cap** from the channel budget (set once via `studio marketing budget --channel <name> --per-video 0.60` or `--per-minute 0.40`): ```bash CAP=$(studio marketing budget --channel <name> --for-duration <duration_s>) ``` `--for-duration` returns the per-video `--max-cost` (flat for per-video budgets; rate × length for per-minute). If it prints `(budget unset)`, set the budget first or pass `--max-cost` by hand.2. **Produce + publish** via the **film-maker** skill (it owns the pipeline): ```bash studio estimate <run_id> # if iterating an existing run, price stage 3 first studio run "<idea>" --duration 60 --tier <cheap|balanced> --max-cost $CAP \ --publish-to youtube --privacy public --channel <name> ``` `--tier cheap` ≈ stills + free motion; `balanced` spends `--max-cost` on AI clips for hero scenes. `--max-cost` is the **whole-video** cap (images + clips + music): `run` reserves the music bed and auto-downgrades paid fal music to synth if it won't fit, so total spend stays ≤ cap. Stage 3 aborts pre-flight if the clip estimate exceeds what's left. Cheapest "still alive" recipe ≈ $0.41 (free `motion-*` + one ≤6s ltx hook + free `local` music); see `docs/10-architecture/cost-model.md` for the ladder.3. **Link** the run to the bet (so measure can find the video): ```bash studio marketing link <entry_id> <run_id> --channel <name> ``` Pulls the YouTube id from `runs/<run_id>/07_publish.json`; sets `status: deployed`.4. **Wait** before measuring — give the Short **48–72h+** to accrue watch time.## Notes- `link` also captures **production telemetry** — cost, duration, animators/fx/model, and per-stage providers — from the run manifest into the bet (T3), so `learn` can attribute success to the effects used and you can track spend per bet.- Repeat backlog→deploy until ~10 videos are live to exit cold-start.Writes `run_id`, `video_id`, `video_url`, `status: deployed`, plus telemetry(`cost_usd`, `duration_s`, `tier`, `video_model`, `animators`, `effects`, `providers`,`n_scenes`) onto the entry. Memory model: [`docs/50-marketing/memory.md`](../../../docs/50-marketing/memory.md).

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