competitor-social-audit
Skill66 starsChanged 6 days agoMITView on GitHub
Audit and compare brands or competitors on TikTok, Instagram, YouTube, X and LinkedIn - followers, posting cadence, median views, engagement, top posts and content themes. Use when the user asks how a competitor is doing on social, to benchmark brands, or what content works for them. Uses the ScrapeIO API.
- Reads credentials
In this repository8 other files it gives its agents.
- AGENTS.mdAGENTS.md
- ad-library-researchSkill
- comment-insightsSkill
- creator-vettingSkill
- influencer-discoverySkill
- scrapeioSkill
- social-trend-researchSkill
- video-transcript-researchSkill
The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 1 is distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 12
Find the handles: If the user gives only brand names, search (tiktok_search_users, instagram_search_profiles) and confirm the official …
- Very specific: line 16
Themes: Read captions of the top 10 and bottom 10 posts.
- Distinctive: line 17
Ads (optional): Use the ad-library-research skill to add what each brand is paying to promote.
- Very specific: line 33
With the
scrapeioMCP server: use the named tool when it exists (for example tiktok_profile).
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Competitor social audit
Benchmark 2 to 5 brands side by side and explain what works for each.
Steps
- Find the handles. If the user gives only brand names, search (
tiktok_search_users,instagram_search_profiles) and confirm the official account (verified, highest followers, matching bio link). Ask if unsure. - Profiles on each platform:
tiktok_profile,instagram_profile,youtube_channel,twitter_profile, and/v1/linkedin/companyfor LinkedIn. - Recent posts (aim for the last 30 to 60 days):
tiktok_profile_videos,instagram_user_posts,youtube_channel_videos,twitter_user_tweets,/v1/linkedin/company/posts. Page withcursoruntil you pass the date window. - Per brand and platform, compute: followers, posts per week, median
plays, median engagement rate ((likes + comments + shares) / plays), and the top 3 posts by plays. - Themes. Read captions of the top 10 and bottom 10 posts. For the top 3 videos, pull transcripts (
tiktok_transcript,youtube_transcript,instagram_transcript) to see the hook in the first lines. - Ads (optional). Use the ad-library-research skill to add what each brand is paying to promote.
Output
- A comparison table: brand x platform with followers, posts per week, median plays, engagement rate.
- Per brand: the 3 best posts with links and one line on why they worked (format, hook, topic).
- Three concrete takeaways for the user.
Cost
About 2 to 4 credits per brand per platform, plus 1 per transcript. A 3-brand, 3-platform audit is usually 30 to 50 credits.
How to call ScrapeIO
Needs SCRAPEIO_API_KEY. If it is missing, ask the user to get a free key at https://scrapeio.com/login (100 credits, no card). Never print the key.
- With the
scrapeioMCP server: use the named tool when it exists (for exampletiktok_profile). For any other path, usecall_endpointwith{ "path": "/v1/...", "params": { ... } }. - Without MCP:
curl -s "https://scrapeio.com<path>?<params>" -H "x-api-key: $SCRAPEIO_API_KEY". - Answers are in
data; lists aredata.itemswithdata.cursoranddata.has_more. Fields are the same on every platform:handle,followers,plays,likes,comments,shares,created_at,url. - 403 (private) and 404 (not found) are free: skip and move on. Retry 502 once. 402 means the user needs credits (https://scrapeio.com/pricing).
- Watch
credits_remainingand tell the user before a step would spend more than they expect.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
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- It worked
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

