Build LinkedIn thought leadership with algorithmic understanding, strategic consistency, and AI-assisted content creation. Updated for the January 2026 360Brew algorithm change. 16 agents, 25 commands, 6 skills, 9 hooks, 24 reference docs. Personal data sanitized: voice samples generalized to template, high-engagement posts cleared, region-specific references replaced with placeholders. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
1.3 KiB
1.3 KiB
Contributing to linkedin-thought-leadership
This is a solo project. Bug reports and feature requests are welcome, but pull requests are not accepted.
Reporting bugs
Open an issue with:
- Plugin version (from
.claude-plugin/plugin.json) - Claude Code version (
claude --version) - What you did, what you expected, what happened instead
- Whether it fails consistently or occasionally
Suggesting features or improvements
Open an issue describing:
- The problem you ran into
- What you think would solve it
- Any alternatives you considered
Design principles
Changes to this plugin must preserve:
- Cross-platform — all hooks are Node.js (.mjs), no bash dependency
- Privacy-first — personal data (voice samples, analytics, queue) stays gitignored
- Generalizable — no hardcoded user identity; templates for personalization
- Cost-aware — Sonnet for most agents, Haiku for lightweight tasks
- Algorithm-grounded — content strategies backed by documented LinkedIn signals
Testing locally
claude plugin add /path/to/linkedin-thought-leadership
# In a Claude Code session:
/linkedin # Check status and command menu
/linkedin:quick # Test quick post flow
/linkedin:profile # Test profile audit
For analytics:
cd scripts/analytics && npm install && npm test