linkedin-company-pages
The LinkedIn company-page (LINKEDIN_PAGES) growth strategy skill -- a separate platform from personal...
What this skill does for you
The LinkedIn company-page (LINKEDIN_PAGES) growth strategy skill -- a separate platform from personal LINKEDIN. Use when someone wants to grow a company/business page, fix low page reach ("our LinkedIn page gets no engagement"), set up employee advocacy, or plan company-page content. In 2026 pages get a tiny share of feed reach, so the page is a credibility hub + paid launchpad (Ads + Thought Leader Ads), NOT the reach engine -- the growth lever is employee advocacy (people, not logos). Uses the HUMAN framework. Reads brand-profile + goals-and-kpis first. The agent strategizes, designs the advocacy program, and drafts page posts + advocacy content; WoopSocial publishes the page's own posts on a schedule; employees post from their OWN profiles (routes to linkedin-growth); first-hour engagement, Ads, and analytics stay human/native. No bait, pods, or bought followers; never fabricates metrics. Distinct from linkedin-growth (personal profile) and linkedin-post-writer (the post craft).
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 linkedin-company-pages 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:e75eb3e5c7bf47bc3ed8045019fbcd22af90bca07e22faaecfa9405ab4bb8532
- Licence
- MIT