apify-easy-competitive-intelligence

This skill should be used when the user asks to "analyze a competitor".

What this skill does for you

This skill should be used when the user asks to "analyze a competitor", "compare pricing", "competitive landscape", "market research", "what do customers think", "review intelligence", "hiring signals", "content strategy", "SEO battle", "build a battlecard", "competitive analysis", "who are the players", "who competes with", "market intelligence", "competitive positioning", "deep dive on a company", "board prep", "SWOT analysis", "how does [X] compare to [Y]", or mentions competitor analysis, pricing comparison, customer sentiment, or market landscape research. Requires Apify CLI or Apify MCP server.

Quoted from the skill description in the pinned source

Who made it

Publisherapify

Repositoryawesome-skills

Installs297as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the apify-easy-competitive-intelligence skill from apify/awesome-skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 1eb0cd0c12e35a0d0a17c23f0f462d7062fd5813. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 1eb0cd0c12e35a0d0a17c23f0f462d7062fd5813. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 1eb0cd0c12e35a0d0a17c23f0f462d7062fd5813. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/apify/awesome-skills
Pinned skill file: View source at revision
Revision: 1eb0cd0c12e35a0d0a17c23f0f462d7062fd5813
Package hash: sha256:a1d33729446d9a35beb31ff285bd4844827194e7390935cbd389d57704666b76
Licence: Apache-2.0