competitor-analysis
Competitor analysis for social media : public-data competitive reconnaissance to find the gap a brand...
What this skill does for you
Competitor analysis for social media : public-data competitive reconnaissance to find the gap a brand can own. Use when someone wants to "analyse/research our competitors," "see what rivals are doing on social," "benchmark against competitors," "find content gaps / white space," or "do a competitive landscape / SWOT." Reads the PUBLIC competitive field : positioning, pillars, formats, cadence, share of voice : to find the gap the brand can own, then feeds social-strategy and content-pillars. Reads brand-profile + audience-research first. Advisory and public-data only: no scraping private data, no fake monitoring accounts, no fabricated competitor metrics, no copying. Distinct from viral-reverse-engineering (single-post teardown) and audience-research (your own audience).
Quoted from the skill description in the pinned sourceWho made it
Use it with Edge
Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the competitor-analysis skill from social-media-skills/skills.
Paste it into Claude, ChatGPT, Codex or Cursor.
Or read the skill source first.
Security evidence
| Scanner | Date | Result | Findings |
|---|---|---|---|
| Edge static checks | 2026-09-27 | Pass | 0 |
| Cisco skill-scanner | 2026-09-27 | Pass | 0 |
| Semgrep Edge rules | 2026-09-27 | Pass | 0 |
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: 6e30eeb2f6736bda8683b6bbaa674af3641d7945. 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: 6e30eeb2f6736bda8683b6bbaa674af3641d7945. 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: 6e30eeb2f6736bda8683b6bbaa674af3641d7945. Raw findings: . Counted findings: .
Source and licence
- Repository
- https://github.com/social-media-skills/skills
- Pinned skill file
- View source at revision
- Revision
- 6e30eeb2f6736bda8683b6bbaa674af3641d7945
- Package hash
- sha256:d18613b71ce41938486503ae886192525af1de9125ce6ae52f5cb9606d70e439
- Licence
- MIT