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feat(ultraplan-local): v1.6.0 — /ultraresearch-local deep research command

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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>
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Kjell Tore Guttormsen 2026-04-08 08:58:35 +02:00
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# Optimal Setup Example
This example demonstrates a fully-configured Claude Code project that scores A on config-audit's posture assessment.
## What's configured
| Feature | File | Gap Check |
|---------|------|-----------|
| Project instructions | `CLAUDE.md` | t1_1 |
| Permissions | `.claude/settings.json` | t1_2 |
| Hooks (3 events) | `hooks/hooks.json` | t1_3, t2_5 |
| Custom commands | `.claude/commands/build.md` | t1_4 |
| MCP servers | `.mcp.json` | t1_5, t4_1 |
| Multi-scope settings | `.claude/settings.local.json` | t2_1 |
| Modular rules | `.claude/rules/` | t2_2 |
| Path-scoped rules | `code-style.md`, `testing.md` | t2_3 |
| Custom agents | `.claude/agents/review-agent.md` | t2_6 |
| Model config | `settings.json` (model key) | t2_7 |
| Status line | `settings.json` (statusLine) | t3_1 |
| Custom keybindings | `.claude/keybindings.json` | t3_2 |
| Output style | `settings.json` (outputStyle) | t3_3 |
| Worktree config | `settings.json` (worktree) | t3_4 |
| Advanced skill frontmatter | `build.md` (argument-hint) | t3_5 |
| Agent isolation | `review-agent.md` (worktree) | t3_6 |
| Dynamic context | `build.md` (!`git ...`) | t3_7 |
| Auto mode | `settings.json` (autoMode) | t3_8 |
| Plugin manifest | `.claude-plugin/plugin.json` | t4_2 |
| Agent teams | `settings.json` (env) | t4_3 |
| LSP config | `.lsp.json` | t4_5 |
## How to test
```bash
cd examples/optimal-setup
node ../../scanners/posture.mjs .
```
Expected: A-grade score with high utilization across all tiers.