gentic-influencer

📁 gentic-co/agent-skills 📅 3 days ago
3
总安装量
3
周安装量
#61565
全站排名
安装命令
npx skills add https://github.com/gentic-co/agent-skills --skill gentic-influencer

Agent 安装分布

opencode 3
gemini-cli 3
github-copilot 3
codex 3
amp 3
kimi-cli 3

Skill 文档

Gentic Influencer Discovery

Workflow guide for finding and scoring influencer/creator matches using Gentic’s MCP tools. Steps build on each other — follow the order below.

When to apply

  • User wants to find influencers or creators for a brand campaign
  • User asks to search Instagram or TikTok for creator partnerships
  • User wants to score, review, or export creator match results
  • User is setting up a brand profile for influencer matchmaking

Tools reference

Tool Purpose Cost
get_brand Read current brand profile Free
save_brand Create or update brand profile Free
fetch_page Scrape a web page for brand context Free
search_creators Vector search for creators on Instagram/TikTok 15¢/result
score_creators AI-score creators against brand profile 35¢/result
get_creator_results View scored results inline Free
export_creator_results Download results as CSV Free

Workflow

1. Brand setup (required first)

Check if a brand profile exists with get_brand. If empty or missing, walk the user through save_brand before anything else. A good profile needs:

  • description: brand identity, values, voice, target audience
  • matchmakingInstructions: what makes a creator a good fit (content style, audience demographics, deal-breakers)
  • activeCampaignContext: current campaign or product focus

If the user has a website, use fetch_page to pull context and draft the profile for them.

2. Search creators

Use search_creators to find creators. Key behavior:

  • Always search both platforms (Instagram and TikTok) unless the user specifies one. Run both calls in parallel.
  • Write descriptive searchText — “fitness micro-influencers who post workout routines and meal prep” beats “fitness influencers”
  • Use filters: minFollowers, maxFollowers, country, minEngagementRate to narrow results
  • campaignContext auto-reads from the brand profile — only override if the user gives campaign-specific instructions
  • Results are stored automatically. Each search gets a unique run_id.

3. Score creators

After searching, run score_creators to AI-score the matches against the brand profile.

  • Scoring is async. Tell the user results are processing and will be ready shortly.
  • Score both platforms if both were searched.
  • The brandContext auto-assembles from the brand profile — don’t override unless asked.
  • Scoring writes final_match_score (0-100) plus sub-scores back to the database.

4. View results

Use get_creator_results to review scored creators inline. When presenting results:

  • Format as a ranked table with columns: rank, username, platform, followers, engagement rate, match score, one-line analysis
  • Bold any creator with score >= 80
  • Below the table, highlight the top 3 with a short paragraph each: why they’re a fit, any risk factors, and their personalized pitch angle
  • If total exceeds count, mention how many more results are available
  • If results have null scores, they haven’t been scored yet — tell the user to run scoring first

5. Export

When the user wants to share or save results, use export_creator_results to generate a CSV download link. Mention the link expires in 1 hour.

Important notes

  • All tools are org-scoped. Users only see their own data.
  • Mention costs when the user is doing a large search (50+ results).
  • If a user asks to “find influencers” or “find creators” with no prior context, start from step 1.