Skip to content
Back to skills

Creator Profile Teardown

ASecurity

Analyze a creator, influencer, founder, competitor, or brand social account to explain its positioning, content pillars, winning posts, hooks, formats, series, calls to action, and audience response. Use when the user wants to understand why an account works and what patterns to test without copying it.

  • 1,232 stars
  • 0 votes
  • 0 copies
  • 1 view
  • Added September 4, 2026
ai-agentsrailsapiperformance

Works with

  • api

Security analysis

A100/100

Pro scans all 2 files and shows the line behind each finding

Scanned September 4, 2026

npx -y skills add gooseworks-ai/goose-skills --skill creator-profile-teardown --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Creator Profile Teardown?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Creator Profile Teardown
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/gooseworks-ai-creator-profile-teardown/badge)](https://www.skillsdirectory.com/skills/gooseworks-ai-creator-profile-teardown)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: creator-profile-teardown
description: Analyze a creator, influencer, founder, competitor, or brand social account to explain its positioning, content pillars, winning posts, hooks, formats, series, calls to action, and audience response. Use when the user wants to understand why an account works and what patterns to test without copying it.
---

# Creator Profile Teardown

Turn a social profile into a sourced, repeatable content playbook.

## Inputs

- Profile URL or handle and platform.
- Brand, audience, market, and the decision the teardown should inform.
- Optional time window, sample size, Brand Core, and comparison account.

## Workflow

1. Confirm the official account and use `scrapecreators-api` to collect profile metadata, public links, and a representative recent-post sample.
2. Use `outlier-post-finder` to compare posts against the account's own baseline. Separate repeatable outliers from giveaways, collaborations, paid distribution, and isolated viral events.
3. Use `transcript-intelligence` on important videos and `comment-mining` where audience response affects the conclusion.
4. Identify the account's audience promise, positioning, personality, content pillars, recurring series, formats, hooks, proof, calls to action, visual patterns, and cadence.
5. Separate observed mechanics from inferred explanations. Explain several plausible drivers when causality is uncertain.
6. Translate the strongest patterns into brand-specific tests. Adapt the mechanism and audience insight, not the creator's wording or identity.

## Output

- Positioning, promise, audience, voice, and profile-funnel summary.
- Content-pillar and recurring-series table with sourced examples.
- Ranked outlier posts with normalized lift and possible drivers.
- Hook, format, proof, CTA, cadence, and audience-response patterns.
- What to adapt, what not to copy, and five prioritized tests for the user's brand.
- Coverage, source appendix, confidence, and limitations.

## Guardrails

- Do not reduce the teardown to a profile summary; identify repeatable mechanics.
- Do not copy distinctive wording, private details, likeness, or personal identity.
- Do not claim that a pattern caused performance when the evidence only shows correlation.
- Preserve source links and clearly label inference.

Files in this skill

  • SKILL.md2.3 KB
  • skill.meta.json656 B

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…