fit-scorer

Featured

Use when the user asks to "score this influencer", "rank these creators for our campaign", or "tell me which influencer is the best fit"; produces weighted fit scores across audience match, content quality, brand alignment, engagement authenticity, and partnership potential, plus a ranked comparison and a go/pass verdict. Not for finding new influencers — use influencer-discovery; not for sending outreach — use outreach-manager.

AI & Automation 2,354 stars 322 forks Updated today Apache-2.0

Install

View on GitHub

Quality Score: 98/100

Stars 20%
100
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# Fit Scorer Objectively evaluate how well an influencer matches your brand by scoring them across five weighted dimensions, turning gut feel into a defensible go/pass decision. ## Quick Start Score one influencer: ``` Score @[handle] for [brand/campaign] and tell me if they're a good fit ``` Compare and rank a shortlist: ``` Compare and rank these influencers for [campaign]: @influencer1, @influencer2, @influencer3 ``` ## Skill Contract - **Reads**: brand/campaign context, target audience definition, campaign goal, and a shortlist of influencer handles (supplied by the user or carried over from `influencer-discovery`). Optional prior audience profiles from `memory/influencer/audience-analyzer/` and competitor partner benchmarks from `memory/influencer/competitor-tracker/`. For rostered creators, read partnership history and audience-stat provenance from `memory/creators/<handle-slug>.md` — the [creator-registry](../../protocol/creator-registry/SKILL.md) roster record — as Partnership Potential inputs. - **Writes**: a fit-score report (per-dimension raw scores, weighted totals, verdict, ranked comparison) to `memory/influencer/fit-scorer/YYYY-MM-DD-<topic>.md`. - **Promotes**: top-ranked handles, final scores, and the go/pass verdict to `memory/hot-cache.md` so downstream skills pick the right targets. - **Done when**: - Every shortlisted influencer has a weighted total score on the 1-5 scale with per-dimension justifications. - A ranked comparison and an explicit...

Details

Author
aaron-he-zhu
Repository
aaron-he-zhu/aaron-marketing-skills
Created
6 months ago
Last Updated
today
Language
Python
License
Apache-2.0

Bundled in these plugins

Similar Skills

Semantically similar based on skill content — not just same category

Web & Frontend Listed

influencer-fit-scoring

Scores and ranks influencers for brand partnership fit using a multi-dimensional framework covering audience alignment, engagement quality, brand safety, content relevance, and commercial viability for CPG and retail e-commerce campaigns. Use when evaluating potential influencer partners, building shortlists, or comparing candidates. Triggers on requests for influencer evaluation, creator partnerships, influencer scoring, KOL assessment, or ambassador selection.

6 Updated 4 months ago
writer
AI & Automation Featured

influencer-discovery

Use when the user asks to "find influencers", "build an influencer list", or "discover creators in [niche]"; produces a multi-platform candidate pool, per-influencer profiles with audience and engagement metrics, authenticity red-flag screening, and a tiered shortlist with fit scores. Not for scoring or ranking a known shortlist — use fit-scorer.

2,354 Updated today
aaron-he-zhu
AI & Automation Listed

creator-fit-scoring

Scores one or more TikTok Shop creators for real sell-through fit using evidence (conversion over followers), returning a fit verdict + recommendation strength + outreach suggestion, with a lookalike-expansion recruiting mode. Use when the user wants to score, rank, evaluate, shortlist, compare, or find lookalike creators, or to process the sample creators returned by preview_target_collab. Affiliate (分销) context. Chinese triggers: 打分 / 评估 / 筛选 / 找相似达人 / 这批达人合不合适.

4 Updated 4 days ago
crevideo