Social Scheduler
Une semaine de publications fidèles à votre marque, programmées partout, validées d'abord.
Transforme vos sujets en une semaine de publications fidèles à votre marque sur toutes les plateformes — vous validez chaque publication avant sa mise en ligne.

Installez-la en 3 étapes
Sans inscription. Sans outils en ligne de commande. Choisissez votre IA, copiez une ligne, collez-la.
Vous préférez le faire vous-même ? Achetez la compétence ($4.99), téléchargez le ZIP depuis votre confirmation d'achat, décompressez-le dans le répertoire indiqué ci-dessus, redémarrez votre session IA — même résultat. Vous l'avez déjà achetée ? Votre assistant IA peut la télécharger pour vous.
Preuves concrètes
Des personnes réelles ont accompli exactement ce travail avec des agents IA.
Create, schedule and post content across platforms automatically
Lire le cas →Cas d’usageCreate and schedule social content through Blotato
Lire le cas →Contenu du pack
Un fichier SKILL.md (le guide pratique) + un modèle de départ. Aperçu :
Social Scheduler
When to use
- You post inconsistently because drafting each post takes too long
- You want LinkedIn, X, and YouTube covered without writing three versions of everything
- Your social presence drifts off-brand whenever you're busy
- Repurposing (video → carousel, article → thread) never actually happens
- You want one approval session per week to produce the whole week's calendar
Workflow
- Set the voice (input: brand guide + best past posts → output: voice file)
Write a voice file the agent reads on every run: who you are, how you sound, words you never use, and 5–10 of your best past posts as examples. Then write one platform-rules file: format limits, tone shifts, and posting norms per platform. Garbage in, generic out — this file is the quality control. - Feed the topics (input: topics / trend feed / one video → output: content brief)
Give the agent the week's raw material: a list of topics, a trend feed (e.g. YouTube trends), or one long piece to repurpose. One instruction should be enough to pull the trends and draft everything — the brief stays short: topic, angle, target platform mix. - Draft the batch (input: brief + voice file → output: platform-ready drafts)
Draft each idea in its platform's shape: a LinkedIn post plus infographic, a video script turned into a carousel, a thread cut from an article. Follow the voice file for tone and the platform-rules file for format. Media the AI generates (video, images, edits) gets a cost check first — generation is metered, so budget per post before scaling. - Preview everything (input: drafts → output: approval sheet)
Drafts land in one shared sheet or notes view with the full week's schedule: post, platform, format, publish time. Nothing schedules itself at this stage. You read every word and see every image before it goes anywhere. - Approve and schedule (input: approved drafts → output: published queue)
Approve, edit, or skip each post. Approved posts schedule across all platforms in one pass through a scheduling tool (e.g. Blotato). Publish is never automatic: every post carries your explicit approval, which keeps you compliant with platform API policies and account-safety rules. - Learn the loop (input: performance log → output: updated pillars)
Log performance per post (reach, engagement) and review weekly. Feed the learnings back into your content pillars and the voice file — the good ideas repeat, the flops get retired. Update the platform-rules file when a platform changes its policies or formats.
Output spec
Aperçu du modèle
Social Scheduler — Voice File & Weekly Batch Template
Two pages. Fill the voice file once (review quarterly); use the batch sheet every week.
Voice file (fill once)
Who we are: {one line, e.g. "B2B tool for small retailers"} Sound like: {e.g. "plain-spoken, practical, no hype"} Never sound like: {e.g. "guru, motivational, jargon-heavy"}
Banned phrases: {e.g. "as an AI", "revolutionize", "game-changer"}
3–5 example posts in our voice:
- {paste a past post that performed well}
- {another one}
- {another one}
Platform rules (fill once, update when policies change)
Content pillars: {e.g. "product tips", "customer stories", "industry takes"}
Le pack de compétence lui-même (SKILL.md + modèle) est rédigé en anglais.
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