Antigravity-awesome-skills apify-influencer-discovery

Find and evaluate influencers for brand partnerships, verify authenticity, and track collaboration performance across Instagram, Facebook, YouTube, and TikTok.

install

source · Clone the upstream repo

git clone https://github.com/sickn33/antigravity-awesome-skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/sickn33/antigravity-awesome-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/plugins/antigravity-awesome-skills-claude/skills/apify-influencer-discovery" ~/.claude/skills/sickn33-antigravity-awesome-skills-apify-influencer-discovery && rm -rf "$T"

manifest: plugins/antigravity-awesome-skills-claude/skills/apify-influencer-discovery/SKILL.md

Influencer Discovery

Discover and analyze influencers across multiple platforms using Apify Actors.

When to Use

You need to discover creators or influencers for outreach, partnerships, or campaign planning.
The task is to evaluate authenticity, engagement, niche fit, or audience signals across social platforms.
You need Apify-based extraction plus a shortlist or summary of suitable influencer candidates.

Prerequisites

(No need to check it upfront)

```
.env
```
file with
```
APIFY_TOKEN
```
Node.js 20.6+ (for native
```
--env-file
```
support)
```
mcpc
```
CLI tool:
```
npm install -g @apify/mcpc
```

Workflow

Copy this checklist and track progress:

Task Progress:
- [ ] Step 1: Determine discovery source (select Actor)
- [ ] Step 2: Fetch Actor schema via mcpc
- [ ] Step 3: Ask user preferences (format, filename)
- [ ] Step 4: Run the discovery script
- [ ] Step 5: Summarize results

Step 1: Determine Discovery Source

Select the appropriate Actor based on user needs:

User Need	Actor ID	Best For
Influencer profiles	`apify/instagram-profile-scraper`	Profile metrics, bio, follower counts
Find by hashtag	`apify/instagram-hashtag-scraper`	Discover influencers using specific hashtags
Reel engagement	`apify/instagram-reel-scraper`	Analyze reel performance and engagement
Discovery by niche	`apify/instagram-search-scraper`	Search for influencers by keyword/niche
Brand mentions	`apify/instagram-tagged-scraper`	Track who tags brands/products
Comprehensive data	`apify/instagram-scraper`	Full profile, posts, comments analysis
API-based discovery	`apify/instagram-api-scraper`	Fast API-based data extraction
Engagement analysis	`apify/export-instagram-comments-posts`	Export comments for sentiment analysis
Facebook content	`apify/facebook-posts-scraper`	Analyze Facebook post performance
Micro-influencers	`apify/facebook-groups-scraper`	Find influencers in niche groups
Influential pages	`apify/facebook-search-scraper`	Search for influential pages
YouTube creators	`streamers/youtube-channel-scraper`	Channel metrics and subscriber data
TikTok influencers	`clockworks/tiktok-scraper`	Comprehensive TikTok data extraction
TikTok (free)	`clockworks/free-tiktok-scraper`	Free TikTok data extractor
Live streamers	`clockworks/tiktok-live-scraper`	Discover live streaming influencers

Step 2: Fetch Actor Schema

Fetch the Actor's input schema and details dynamically using mcpc:

export $(grep APIFY_TOKEN .env | xargs) && mcpc --json mcp.apify.com --header "Authorization: Bearer $APIFY_TOKEN" tools-call fetch-actor-details actor:="ACTOR_ID" | jq -r ".content"

Replace

ACTOR_ID

with the selected Actor (e.g.,

apify/instagram-profile-scraper

This returns:

Actor description and README
Required and optional input parameters
Output fields (if available)

Step 3: Ask User Preferences

Before running, ask:

Output format:
- Quick answer - Display top few results in chat (no file saved)
- CSV - Full export with all fields
- JSON - Full export in JSON format
Number of results: Based on character of use case

Step 4: Run the Script

Quick answer (display in chat, no file):

node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  --actor "ACTOR_ID" \
  --input 'JSON_INPUT'

CSV:

node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  --actor "ACTOR_ID" \
  --input 'JSON_INPUT' \
  --output YYYY-MM-DD_OUTPUT_FILE.csv \
  --format csv

JSON:

node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  --actor "ACTOR_ID" \
  --input 'JSON_INPUT' \
  --output YYYY-MM-DD_OUTPUT_FILE.json \
  --format json

Step 5: Summarize Results

After completion, report:

Number of influencers found
File location and name
Key metrics available (followers, engagement rate, etc.)
Suggested next steps (filtering, outreach, deeper analysis)

Error Handling

APIFY_TOKEN not found

- Ask user to create

.env

with

APIFY_TOKEN=your_token

mcpc not found

- Ask user to install

npm install -g @apify/mcpc

Actor not found

- Check Actor ID spelling

Run FAILED

- Ask user to check Apify console link in error output

Timeout

- Reduce input size or increase

--timeout

Limitations

Use this skill only when the task clearly matches the scope described above.
Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.