linkedin-studio/CONTRIBUTING.md
Kjell Tore Guttormsen 4dc868ea62 feat(ultraplan-local): v1.6.0 — /ultraresearch-local deep research command
Add /ultraresearch-local for structured research combining local codebase
analysis with external knowledge via parallel agent swarms. Produces research
briefs with triangulation, confidence ratings, and source quality assessment.

New command: /ultraresearch-local with modes --quick, --local, --external, --fg.
New agents: research-orchestrator (opus), docs-researcher, community-researcher,
security-researcher, contrarian-researcher, gemini-bridge (all sonnet).
New template: research-brief-template.md.

Integration: --research flag in /ultraplan-local accepts pre-built research
briefs (up to 3), enriches the interview and exploration phases. Planning
orchestrator cross-references brief findings during synthesis.

Design principle: Context Engineering — right information to right agent at
right time. Research briefs are structured artifacts in the pipeline:
ultraresearch → brief → ultraplan --research → plan → ultraexecute.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-08 08:58:35 +02:00

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# 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
```bash
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:
```bash
cd scripts/analytics && npm install && npm test
```