# Creator Analysis

> Analyze creator profiles, content patterns, audience fit, and collaboration quality. Use when evaluating creators for partnerships, diagnosing why a creator is or is not a good fit, summarizing creator strengths/weaknesses, or turning creator data into a shortlist with clear recommendations.

- Skill: `dvcrn/creator-analysis` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add dvcrn/creator-analysis`
- Raw SKILL.md: https://api.skillmd.com/api/skills/dvcrn/creator-analysis/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: dvcrn (https://skillmd.com/u/dvcrn)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/dvcrn/creator-analysis

---


# Creator Analysis

Analyze creators with a short, decision-ready workflow.

## Workflow

1. Define the decision.
   - shortlist creators
   - compare two or more creators
   - diagnose why performance is weak
   - summarize a creator profile for outreach

2. Normalize the inputs.
   - creator handle / profile link
   - niche and product category
   - audience and offer constraints
   - any observed metrics, comments, or content samples

3. Score the creator on five dimensions.
   - audience relevance
   - content clarity
   - proof / trust signals
   - conversion potential
   - operational risk

4. Write the recommendation in plain language.
   - what this creator is good for
   - where the fit is weak
   - whether to test, prioritize, or skip

## Output format

Return:
- one-line verdict
- strengths
- risks
- recommended use case
- next action

Keep it concise and decision-oriented.

## Quality bar

- Prefer observable evidence over hype words.
- Separate reach from fit.
- Flag uncertainty when metrics are missing.
- Do not confuse polished content with conversion potential.

## Resources

Read `references/output-template.md` when you need a ready response shape.