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>
393 lines
15 KiB
Markdown
393 lines
15 KiB
Markdown
---
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name: ultraresearch-local
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description: Deep research combining local codebase analysis with external knowledge, producing structured research briefs with triangulation and confidence ratings
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argument-hint: "[--quick | --local | --external | --fg] <research question>"
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model: opus
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allowed-tools: Agent, Read, Glob, Grep, Write, Edit, Bash, AskUserQuestion, WebSearch, WebFetch, mcp__tavily__tavily_search, mcp__tavily__tavily_research
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---
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# Ultraresearch Local v1.0
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Deep, multi-phase research that combines local codebase analysis with external
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knowledge. Uses specialized agent swarms to investigate multiple dimensions in
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parallel, then triangulates findings to produce insights that neither local nor
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external research could provide alone.
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**Design principle: Context Engineering** — build the right context by orchestrating
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specialized agents, each seeing only what they need. The value is in triangulation
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(cross-checking local vs. external) and synthesis (insights from combining both).
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**Pipeline integration:** Research briefs feed into ultraplan via `--research`:
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```
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/ultraresearch-local <question> → brief → /ultraplan-local --research <brief> <task>
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```
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## Phase 1 — Parse mode and validate input
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Parse `$ARGUMENTS` for mode flags. Flags can appear in any order before the
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research question. Collect all flags first, then treat the remainder as the
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research question.
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Supported flags:
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1. `--quick` — lightweight research, no agent swarm. The command itself does
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3-5 targeted searches inline. Set **mode = quick**.
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2. `--local` — only codebase research. Skip external agents and gemini bridge.
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Set **scope = local**.
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3. `--external` — only external research. Skip codebase analysis agents.
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Set **scope = external**.
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4. `--fg` — foreground mode. Run all phases inline (blocking) instead of
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launching the research-orchestrator in background. Set **execution = foreground**.
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Flags can be combined:
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- `--local --fg` — local-only research, foreground
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- `--external --quick` — external-only, lightweight
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- `--quick` alone implies both local and external (lightweight)
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Defaults: **scope = both**, **execution = background**.
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After stripping flags, the remaining text is the **research question**.
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If no research question is provided, output usage and stop:
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```
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Usage: /ultraresearch-local <research question>
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/ultraresearch-local --quick <research question>
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/ultraresearch-local --local <research question>
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/ultraresearch-local --external <research question>
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/ultraresearch-local --fg <research question>
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Modes:
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default Interview → background research (local + external) → brief
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--quick Interview (short) → inline research (no agent swarm)
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--local Only codebase analysis agents (skip external + Gemini)
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--external Only external research agents (skip codebase analysis)
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--fg All phases in foreground (blocks session)
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Flags can be combined: --local --fg, --external --quick
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Examples:
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/ultraresearch-local Should we migrate from Express to Fastify?
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/ultraresearch-local --quick What auth libraries are popular for Node.js?
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/ultraresearch-local --local How is error handling structured in this codebase?
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/ultraresearch-local --external What are the security implications of using Redis for sessions?
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/ultraresearch-local --fg --local What patterns does this codebase use for database access?
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```
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Do not continue past this step if no question was provided.
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Report the detected mode:
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```
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Mode: {default | quick}, Scope: {both | local | external}, Execution: {background | foreground}
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Question: {research question}
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```
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## Phase 2 — Research interview
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Use `AskUserQuestion` to clarify the research question. Ask **one question at a time**.
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The interview is shorter than ultraplan's (2-4 questions, not 3-8) because research
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is more focused than planning.
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### Interview flow
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**Start with the research question itself.** If the user provided a clear, specific
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question, you may skip directly to follow-ups.
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**Core questions (pick 2-4 based on clarity of initial question):**
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1. **Decision context:** "What decision does this research feed? Are you evaluating
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options, investigating feasibility, or building understanding?"
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*Skip if the question itself makes this obvious.*
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2. **Dimensions:** "Are there specific aspects you care about most? (e.g., performance,
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security, migration cost, team learning curve)"
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*Skip if the question is narrow enough that dimensions are obvious.*
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3. **Prior knowledge:** "What do you already know about this topic? What have you
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tried or ruled out?"
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*Always useful — prevents redundant research.*
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4. **Constraints:** "Are there constraints that should guide the research?
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(e.g., must be open-source, must support X, budget limitations)"
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*Skip if no constraints are apparent.*
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**Rules:**
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- If the user says "just research it", "skip", or similar — stop interviewing.
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Use the research question as-is.
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- For `--quick` mode: ask 1-2 questions maximum.
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- Never ask about things you can discover from the codebase.
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### Determine research dimensions
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Based on the interview, identify 3-8 research dimensions. These are the facets
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of the question that will be investigated in parallel. Examples:
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- "Should we use Redis?" → dimensions: performance, reliability, operational
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complexity, security, cost, team familiarity
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- "How should we handle auth?" → dimensions: standards compliance, implementation
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complexity, library ecosystem, security posture, scalability
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Report dimensions:
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```
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Research dimensions identified:
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1. {Dimension 1}
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2. {Dimension 2}
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...
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```
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## Phase 3 — Background transition
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**If execution = foreground or mode = quick:** Skip this phase. Continue inline.
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**If execution = background (default):**
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Generate a slug from the research question (first 3-4 meaningful words, lowercase,
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hyphens).
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Launch the **research-orchestrator** agent with this prompt:
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```
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Research question: {question}
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Dimensions: {list of dimensions from interview}
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Mode: {default | quick}
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Scope: {both | local | external}
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Brief destination: .claude/research/ultraresearch-{YYYY-MM-DD}-{slug}.md
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Plugin root: ${CLAUDE_PLUGIN_ROOT}
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```
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Launch via Agent tool with `run_in_background: true`.
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Then output to the user and **stop your response**:
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```
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Background research started via research-orchestrator.
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Question: {research question}
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Dimensions: {N} identified
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Scope: {both | local | external}
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Brief: .claude/research/ultraresearch-{date}-{slug}.md
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You will be notified when the research brief is ready.
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You can continue working on other tasks in the meantime.
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```
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Do not wait for the orchestrator. Do not continue to Phase 4.
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The research-orchestrator handles Phases 4 through 8 autonomously.
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---
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**Everything below this line runs either in foreground mode, quick mode, or
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inside the background agent. The instructions are identical regardless of context.**
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---
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## Phase 3.5 — Quick mode (inline research)
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**Skip this phase entirely unless mode = quick.**
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For quick mode, do NOT launch an agent swarm. Instead, do lightweight research
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directly using available tools.
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### Quick local research (if scope includes local)
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- `Glob` for files matching key terms from the research question (up to 3 patterns)
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- `Grep` for relevant definitions, patterns, or usage (up to 5 patterns)
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- Read the 2-3 most relevant files found
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### Quick external research (if scope includes external)
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Use available search tools directly (in this priority order):
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1. `mcp__tavily__tavily_search` — if available, use for 2-3 targeted queries
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2. `WebSearch` — fallback for 2-3 targeted queries
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3. `WebFetch` — fetch 1-2 specific pages if URLs were found
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### Quick synthesis
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Synthesize findings inline. Write a lightweight research brief to the destination
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path, following the research-brief-template but with shorter sections and fewer
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dimensions.
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Skip to Phase 8 (stats tracking) after writing the brief.
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## Phase 4 — Parallel research (agent swarm)
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**Determine which agents to launch based on scope:**
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### Local agents (scope = both or local)
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Reuse existing plugin agents with research-focused prompts. These agents are
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designed for planning, but work equally well for research when prompted differently.
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| Agent | Purpose in research context |
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|-------|----------------------------|
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| `architecture-mapper` | How the architecture relates to the research question |
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| `dependency-tracer` | Dependencies and integrations relevant to the topic |
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| `task-finder` | Existing code that relates to the research question |
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| `git-historian` | Recent changes and ownership relevant to the topic |
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| `convention-scanner` | Coding patterns relevant to evaluating options |
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For each local agent, prompt with the research question, NOT a task description:
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- architecture-mapper: "Analyze the architecture relevant to this research question:
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{question}. Focus on how {topic} relates to current patterns and constraints."
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- dependency-tracer: "Trace dependencies relevant to this research question: {question}.
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Identify which modules would be affected by {topic}."
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- task-finder: "Find existing code relevant to this research question: {question}.
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Look for prior implementations, patterns, or utilities related to {topic}."
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- git-historian: "Analyze git history relevant to this research question: {question}.
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Who owns the relevant code? What has changed recently in related areas?"
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- convention-scanner: "Discover coding conventions relevant to evaluating {question}.
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What patterns would a solution need to follow?"
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### External agents (scope = both or external)
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Launch the new research-specialized agents:
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| Agent | Purpose |
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|-------|---------|
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| `docs-researcher` | Official documentation, RFCs, vendor docs |
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| `community-researcher` | Real-world experience, issues, blog posts |
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| `security-researcher` | CVEs, audit history, supply chain risks |
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| `contrarian-researcher` | Counter-evidence, overlooked alternatives |
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For each external agent, pass: the research question, specific dimensions to
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investigate, and any context from the interview.
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### Bridge agent (scope = both or external, if enabled)
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Launch `gemini-bridge` with the research question. Do NOT include findings from
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other agents — the value of Gemini is independence.
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### Launch rules
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- Launch ALL selected agents **in parallel** in a single message
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- Use model: "sonnet" for all sub-agents (the orchestrator runs on Opus)
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- Scale maxTurns by codebase size for local agents (same as ultraplan):
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small = halved, medium/large = default
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- convention-scanner: medium+ codebases only (50+ files)
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## Phase 5 — Targeted follow-ups
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Review all agent results. Identify knowledge gaps — areas where findings are
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thin, contradictory, or missing.
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For each significant gap, launch a targeted follow-up agent (model: "sonnet")
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with a narrow, specific brief. Maximum 2 follow-ups.
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If no gaps exist, skip: "Initial research sufficient — no follow-ups needed."
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## Phase 6 — Triangulation
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This is the KEY phase that makes ultraresearch more than aggregation.
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For each research dimension:
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1. **Collect** — gather relevant findings from local AND external agents
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2. **Compare** — do local findings agree with external findings?
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3. **Flag contradictions** — where they disagree, present both sides with evidence
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4. **Cross-validate** — use codebase facts to validate external claims:
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- External says "library X is fast" → local shows the codebase already uses
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a similar pattern that could benchmark against
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- External says "pattern Y is best practice" → local shows the codebase uses
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pattern Z which conflicts
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5. **Rate confidence** per dimension:
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- **high** — multiple authoritative sources agree, local evidence confirms
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- **medium** — good sources but limited cross-validation
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- **low** — single source, limited evidence
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- **contradictory** — credible sources actively disagree
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Compute overall confidence as a weighted average (0.0-1.0) based on dimension
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confidence levels and their relative importance.
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## Phase 7 — Synthesis and brief writing
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Read the research brief template:
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@${CLAUDE_PLUGIN_ROOT}/templates/research-brief-template.md
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Write the research brief following the template. Key rules:
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1. **Executive Summary** — 3 sentences. Answer, confidence, key caveat.
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2. **Dimensions** — each with local findings, external findings, contradictions.
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3. **Synthesis** — NOT a summary. NEW insights from triangulation.
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4. **Open Questions** — what remains unresolved and why.
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5. **Recommendation** — only if decision-relevant. Omit for exploratory research.
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6. **Sources** — every claim traced to URL or codebase path.
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Generate the slug from the research question (first 3-4 meaningful words).
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Write the brief to: `.claude/research/ultraresearch-{YYYY-MM-DD}-{slug}.md`
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Create the `.claude/research/` directory if needed.
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## Phase 8 — Present and track
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Present a summary to the user:
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```
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## Ultraresearch Complete
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**Question:** {research question}
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**Mode:** {default | quick}, Scope: {both | local | external}
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**Brief:** .claude/research/ultraresearch-{date}-{slug}.md
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**Confidence:** {overall confidence 0.0-1.0}
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**Dimensions:** {N} researched
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**Agents:** {N} local + {N} external + {gemini: used | unavailable | skipped}
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### Key Findings
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- {Finding 1}
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- {Finding 2}
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- {Finding 3}
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### Contradictions Found
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- {Contradiction 1, or "None — findings are consistent across sources."}
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### Open Questions
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- {Question 1, or "None — all dimensions adequately covered."}
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You can:
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- Read the full brief at {brief path}
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- Feed into planning: `/ultraplan-local --research {brief path} <task>`
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- Ask follow-up questions about specific findings
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```
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### Stats tracking
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Write a session record to `${CLAUDE_PLUGIN_DATA}/ultraresearch-stats.jsonl`
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(create the file if it does not exist).
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Record format (one JSON line):
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```json
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{
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"ts": "{ISO-8601 timestamp}",
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"question": "{research question (first 100 chars)}",
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"mode": "{default|quick}",
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"scope": "{both|local|external}",
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"slug": "{brief slug}",
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"dimensions": {N},
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"agents_local": {N},
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"agents_external": {N},
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"gemini_used": {true|false},
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"confidence": {0.0-1.0},
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"contradictions": {N},
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"open_questions": {N}
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}
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```
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If `${CLAUDE_PLUGIN_DATA}` is not set or not writable, skip tracking silently.
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## Hard rules
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- **No planning:** This command produces research briefs, not implementation plans.
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If the user asks to plan, direct them to `/ultraplan-local --research <brief>`.
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- **Sources required:** Every claim must cite a source. No unsourced findings.
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- **Independence:** Do not pre-bias external agents with local findings or vice versa.
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Triangulate AFTER independent research.
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- **Graceful degradation:** If MCP tools are unavailable (Tavily, Gemini, MS Learn),
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proceed with available tools and note limitations in brief metadata.
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- **Cost:** Sonnet for all sub-agents. Opus only in the main command/orchestrator.
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- **Privacy:** Never log secrets, tokens, or credentials.
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- **Honesty:** If the question is trivially answerable, say so. Don't inflate research.
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- **Scope of codebase:** Only analyze the current working directory for local research.
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- **Research transparency:** Clearly distinguish local findings from external findings.
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Never blend them without attribution.
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