39f8b275a6
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>
43 lines
1.3 KiB
Markdown
43 lines
1.3 KiB
Markdown
# Contributing to linkedin-thought-leadership
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This is a solo project. Bug reports and feature requests are welcome, but pull requests are not accepted.
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## Reporting bugs
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Open an issue with:
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- Plugin version (from `.claude-plugin/plugin.json`)
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- Claude Code version (`claude --version`)
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- What you did, what you expected, what happened instead
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- Whether it fails consistently or occasionally
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## Suggesting features or improvements
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Open an issue describing:
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- The problem you ran into
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- What you think would solve it
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- Any alternatives you considered
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## Design principles
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Changes to this plugin must preserve:
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- **Cross-platform** — all hooks are Node.js (.mjs), no bash dependency
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- **Privacy-first** — personal data (voice samples, analytics, queue) stays gitignored
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- **Generalizable** — no hardcoded user identity; templates for personalization
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- **Cost-aware** — Sonnet for most agents, Haiku for lightweight tasks
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- **Algorithm-grounded** — content strategies backed by documented LinkedIn signals
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## Testing locally
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```bash
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claude plugin add /path/to/linkedin-thought-leadership
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# In a Claude Code session:
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/linkedin # Check status and command menu
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/linkedin:quick # Test quick post flow
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/linkedin:profile # Test profile audit
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```
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For analytics:
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```bash
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cd scripts/analytics && npm install && npm test
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```
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