apify-competitor-intelligence
Analyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok.
72
61%
Does it follow best practices?
Impact
90%
3.10xAverage score across 3 eval scenarios
Low
Low-risk findings worth noting
Fix and improve this skill with Tessl
tessl review fix ./skills/apify-competitor-intelligence/SKILL.mdEvaluation results
98%
54%Competitor Intelligence Operations Guide
Competitor intelligence workflow documentation guide
5-step workflow order
20%
100%
Checkbox checklist format
0%
100%
Actor selection table
100%
100%
Exact mcpc command
0%
100%
Pre-run: output format question
100%
100%
Pre-run: number of results question
100%
100%
Error: APIFY_TOKEN not found
0%
100%
Error: mcpc not found
0%
100%
Error: Actor not found
50%
100%
Error: Run FAILED
25%
100%
Error: Timeout
75%
100%
Findings summary structure
100%
100%
No upfront prerequisite check
0%
75%
Scope limitation section
100%
100%
Date-prefixed output filenames
0%
100%
92%
65%Competitor Review Analysis: Seattle Coffee Shops
Google Maps competitor review analysis command preparation
Correct Actor ID
0%
100%
Checklist with checkboxes
100%
100%
mcpc schema-fetch command
0%
100%
run_actor.js script path
0%
46%
--env-file flag
0%
100%
Date-prefixed output filename
0%
100%
--format csv flag
10%
100%
--output flag present
20%
100%
Findings summary section
100%
100%
No disallowed execution methods
100%
100%
82%
64%Competitor Social Media Analysis Script
Multi-platform competitor analysis bash script
Instagram actor ID
100%
100%
TikTok actor ID
0%
0%
node --env-file flag
0%
100%
CLAUDE_PLUGIN_ROOT script path
0%
70%
Instagram CSV format flag
0%
100%
TikTok JSON format flag
0%
100%
Instagram date-prefixed filename
0%
100%
TikTok date-prefixed filename
0%
100%
Token error handling
20%
100%
Actor/run failure handling
40%
100%
- Repository
- sickn33/agentic-awesome-skills
- Commit
b1aebac
- Evaluated
- Agent
- Claude Code
- Model
- Claude Sonnet 4.6
Table of Contents
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