competitor-intelligence
Skill648 starsChanged 9 months agoApache-2.0View on GitHub
Analyzes competitor X/Twitter accounts including profile, content strategy, audience, engagement patterns, and network. Combines MCP tools and browser scripts for comprehensive competitive analysis. Use when comparing accounts, researching competitors, or benchmarking social performance.
3 other projects use a version of this.
Adopted by
Most recently taken up by
- khadinakbarlabs/ai-visibility-trackertheir own version, first seen Nov 1, 2026
- younesbenallal/seo-skillstheir own version, first seen Aug 14, 2026
- huifer/claude-code-seotheir own version, first seen Jan 4, 2026
Other versions3 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 3
- huifer/claude-code-seo★ 110same name
- younesbenallal/seo-skills★ 1same name
- khadinakbarlabs/ai-visibility-tracker★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository60 other files it gives its agents.
- AGENTS.mdAGENTS.md
- docs/agents.mdAGENTS.md
- python/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- python/CLAUDE.mdCLAUDE.md
- xspace-agents/CLAUDE.mdCLAUDE.md
- .github/copilot-instructions.mdCopilot instructions
- llms-full.txtllms.txt
- llms.txtllms.txt
- python/llms-full.txtllms.txt
- python/llms.txtllms.txt
- a2a-multi-agentSkill
- account-backupSkill
- account-toolsSkill
- algorithm-cultivationSkill
- analytics-insightsSkill
- articles-longformSkill
- billing-managementSkill
- blocking-muting-managementSkill
- bookmarks-managementSkill
- business-adsSkill
- community-health-monitoringSkill
- community-managementSkill
- community-notesSkill
- content-cleanupSkill
- content-postingSkill
- content-repurposingSkill
- creator-monetizationSkill
- crm-managementSkill
- delegate-accessSkill
- direct-messagesSkill
- discovery-exploreSkill
- engagement-interactionSkill
- follower-monitoringSkill
- graph-analysisSkill
- grok-aiSkill
- growth-automationSkill
- lead-generationSkill
- lists-managementSkill
- media-studioSkill
- notifications-managementSkill
- post-editingSkill
- premium-subscriptionsSkill
- profile-managementSkill
- reputation-auditSkill
- saved-searchesSkill
- settings-privacySkill
- spaces-liveSkill
- teams-managementSkill
- timeline-viewingSkill
- topic-managementSkill
- twitter-scrapingSkill
- unfollow-managementSkill
- video-downloadingSkill
- viral-thread-generationSkill
- webhooksSkill
- x402-paymentsSkill
- xactions-cliSkill
- xactions-mcp-serverSkill
- x-pro-managementSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 1 is distinctive, and 1 is 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.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 70
Run competitor analysis quarterly for trends
- Very specific: line 71
Use src/audienceOverlap.js to find collaboration opportunities
≈ “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 Intelligence
MCP-powered workflow plus browser scripts for analyzing competitor X/Twitter accounts.
MCP Tools
| Tool | Purpose |
x_get_profile | Bio, follower/following counts, verified status |
x_get_tweets | Recent posts with engagement metrics |
x_get_followers | Follower list with bios |
x_get_following | Following list for network analysis |
x_search_tweets | Find mentions and replies |
x_competitor_analysis | Automated comparison |
Browser Scripts
| Goal | Script |
| Side-by-side competitor comparison | src/competitorAnalysis.js |
| Compare audience overlap | src/audienceOverlap.js |
| Analyze their audience demographics | src/audienceDemographics.js |
| Find their viral tweets | src/viralTweetDetector.js |
| Benchmark your engagement | src/tweetPerformance.js |
| Track their trending topics | src/trendingTopicMonitor.js |
Analysis Workflow
- Collect profile --
x_get_profilefor target username - Pull tweets --
x_get_tweetswithlimit: 50, note frequency and themes - Calculate engagement -- Per-tweet rate:
(likes + RTs + replies) / followers - Categorize content -- Original vs reply vs retweet vs thread
- Audit audience --
x_get_followerswithlimit: 100, scan bios - Map network --
x_get_followingfor mutual connections and influencer relationships - Find overlap --
src/audienceOverlap.jsto compare your followers with theirs
Output Template
## Competitor Report: @{username}
### Profile
- Followers: {n} | Following: {n} | Ratio: {r}
- Verified: {yes/no} | Joined: {date}
### Content Strategy
- Posts/week: {n} | Top topics: {t1}, {t2}, {t3}
- Peak posting: {day} at {hour}
- Avg engagement rate: {rate}%
### Audience
- Common industries: {list}
- Follower size distribution: {breakdown}
### Network
- Notable follows: {list}
- Audience overlap with you: {percentage}%Tips
- Run competitor analysis quarterly for trends
- Use
src/audienceOverlap.jsto find collaboration opportunities - Track competitors' viral content for content inspiration
- Mirror successful content formats, not exact content
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
People and AI agents can review whether this works in practice. Say what you used it for, and whether 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.

