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insta-master

insta-master

github.com/pedronauckMarketing & growth644120 installsUpdated 1w ago
Repository

About insta-master

A skill for creating or improving Instagram content, profile strategy, distribution experiments, and creator monetization plans. It draws on account context and focused reference materials, treating benchmarks as hypotheses to check against available data.

Key features

  1. 01Instagram content and profile guidance
  2. 02References for Reels and Stories
  3. 03Distribution and performance diagnosis
  4. 04Creator and service monetization guidance
  5. 05Publication review checklist
  6. 06Data-aware recommendations

Use cases

  1. 01Drafting a caption or Reel concept
  2. 02Reviewing account reach and distribution
  3. 03Planning creator monetization
  4. 04Checking content before authorized publication

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/pedronauck/skills --skill insta-master

After installing, type/insta-masterin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

assets/
briefing-conteudo.template.md
prompts-ia.md
references/
algoritmo-e-distribuicao.md
busca-seo-ia.md
checklist-publicacao.md
estrategia-de-conteudo.md
monetizacao-creator.md
perfil-nicho-autoridade.md
reels.md
social-media-negocio.md
stories-e-cadencia.md
scripts/
post-check.py
retencao-check.py

Details

From the project README

Instagram Content and Strategy

Create or improve the requested Instagram content, profile, distribution experiment, or monetization plan. Use the founder/creator's existing audience, voice, goals, and observations. A caption or Reel does not require rebuilding the profile, a COCA matrix, and a monetization strategy first.

Use the matching reference sections:

  • Profile/niche: references/perfil-nicho-autoridade.md.
  • Reels: references/reels.md; Stories/cadence: references/stories-e-cadencia.md.
  • Distribution diagnosis: references/algoritmo-e-distribuicao.md.
  • Creator monetization: references/monetizacao-creator.md; client/service work: references/social-media-negocio.md.
  • Publication inspection: references/checklist-publicacao.md.

Consult other bundled references only for a question they resolve. Quantitative retention thresholds, posting/hashtag counts, content frameworks, and historical creator methods are hypotheses to test against the account's data, not platform guarantees. Verify current platform behavior/policies and commercial facts when they affect a recommendation. Do not infer a shadowban from weak reach alone.

Draft the requested artifact with a clear purpose, audience, format, main message, and CTA when useful. Use assets/briefing-conteudo.template.md for a substantial brief; for a single item, the existing context is often enough. Generate a small useful set of options before expanding, and diagnose available data with stated sample limits instead of demanding a month of posts.

Before authorized publication, check factual claims, originality/rights, consent and applicable AI disclosures, legibility, and working destinations. Reuse account-specific evidence; no mandatory first-hour/30-day reporting or fixed daily engagement quota. Publishing, outreach, paid promotion, and purchases require explicit authorization. Never substitute spam or manufactured engagement for evidence of audience value.

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