linkedin-post-generator
LinkedIn post generation from meeting transcripts.
What this skill does for you
LinkedIn post generation from meeting transcripts, Slack dumps, and other source material, written in the user's personal writing style. Use this skill when: generating LinkedIn posts, creating social content from internal material, ghostwriting LinkedIn content, or when the user mentions LinkedIn, social posts, or content generation from transcripts/notes. Supports personal style profiles stored locally per user. Can auto-pull source material from Fireflies.ai, Slack channels, and Google Drive.
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-post-generator skill from casper-studios/casper-marketplace.
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: 99ee1b05bb6ad2cd11d42680f4502999265eac54. 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: 99ee1b05bb6ad2cd11d42680f4502999265eac54. 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: 99ee1b05bb6ad2cd11d42680f4502999265eac54. Raw findings: . Counted findings: .
Source and licence
- Repository
- https://github.com/casper-studios/casper-marketplace
- Pinned skill file
- View source at revision
- Revision
- 99ee1b05bb6ad2cd11d42680f4502999265eac54
- Package hash
- sha256:22e7b69de6988803177111ae2eb20d5e180d54a4975dfb11e3043ff0167fc2a5
- Licence
- MPL-2.0