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>
122 lines
3.8 KiB
Markdown
122 lines
3.8 KiB
Markdown
---
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type: ultraresearch-brief
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created: {YYYY-MM-DD}
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question: "{research question}"
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confidence: {0.0-1.0}
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dimensions: {N}
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mcp_servers_used: [{list}]
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local_agents_used: [{list}]
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external_agents_used: [{list}]
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---
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# {Research Question Title}
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> Generated by ultraresearch-local v{version} on {YYYY-MM-DD}
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## Research Question
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{The full research question as clarified during interview.}
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## Executive Summary
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{3 sentences maximum. The answer, the confidence level, and the key caveat.}
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## Dimensions
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*Each dimension represents one facet of the research question, explored by both
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local and external agents. Confidence is rated per dimension.*
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### {Dimension Name} -- Confidence: {high | medium | low | contradictory}
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**Local findings:**
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- {Finding with source citation (file path or agent name)}
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**External findings:**
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- {Finding with source citation (URL)}
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**Contradictions:**
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- {If local and external disagree, explain both sides with evidence.
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Omit this sub-section if no contradictions exist for this dimension.}
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*Repeat for each dimension.*
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## Local Context
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*Findings from codebase analysis agents. Omit sub-sections where no relevant
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findings exist.*
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### Architecture
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{Architecture patterns, tech stack, relevant components from architecture-mapper}
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### Dependencies
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{Import chains, data flow, external integrations from dependency-tracer}
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### Conventions
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{Coding patterns, naming, test conventions from convention-scanner}
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### History
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{Recent changes, code ownership, hot files from git-historian}
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## External Knowledge
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*Findings from external research agents. Omit sub-sections where no relevant
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findings exist.*
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### Best Practice
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{Official documentation, recommended patterns from docs-researcher}
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### Alternatives
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{Other approaches, competing solutions from community-researcher + contrarian-researcher}
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### Security
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{CVEs, audit history, supply chain risks from security-researcher}
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### Known Issues
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{Common pitfalls, gotchas, real-world problems from community-researcher}
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## Gemini Second Opinion
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*Independent research result from Gemini Deep Research. Provides a second
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perspective for triangulation. Omit this section if gemini-bridge was not used
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or was unavailable.*
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{Gemini findings reformatted into key findings, sources cited, and areas of
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agreement/disagreement with other agents.}
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## Synthesis
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*Cross-cutting insights that emerge from combining local and external knowledge.
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This is NOT a summary of the sections above. It is NEW insight from triangulation
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-- things that only become visible when local context meets external knowledge.*
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{Example: "The codebase uses pattern X (local), but best practice has shifted to
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pattern Y (external). However, our dependency on Z (local) makes a direct migration
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impractical -- a hybrid approach using Y for new code while maintaining X for
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existing modules is the pragmatic path."}
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## Open Questions
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*Things that remain unresolved after research. Each is a candidate for follow-up
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research or an assumption to carry forward.*
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- {Question 1 -- why it remains open}
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- {Question 2 -- why it remains open}
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## Recommendation
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*If the research was decision-relevant, provide a concrete recommendation with
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reasoning. If the research was exploratory (understanding, not deciding), omit
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this section entirely.*
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{Recommendation with rationale, citing specific findings from above.}
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## Sources
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| # | Source | Type | Quality | Used in |
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|---|--------|------|---------|---------|
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| 1 | {URL or codebase path} | {official / community / codebase / gemini} | {high / medium / low} | {dimension name} |
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*Quality assessment:*
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- **high** — official documentation, verified codebase analysis, peer-reviewed
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- **medium** — reputable community source, well-maintained blog, established project
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- **low** — unverified, outdated (>1 year), single-source claim, opinion piece
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