feat: muti agent hand
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@@ -191,7 +191,8 @@ label = "Auto-detect"
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# ─── Agent configuration ─────────────────────────────────────────────────────
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[agent]
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[agents.main]
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coordinator = true
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name = "researcher-hand"
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description = "AI deep researcher — conducts exhaustive investigations with cross-referencing, fact-checking, and structured reports"
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module = "builtin:chat"
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@@ -509,6 +510,83 @@ If event_publish is available, publish a "research_complete" event with the repo
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- Treat your own synthesis as a hypothesis, not a conclusion — remain open to revising it when new evidence appears
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"""
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[agents.scholar]
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invoke_hint = "Academic and scholarly deep-dive — finding papers, systematic reviews, and evidence-based research"
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name = "academic-researcher"
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description = "Academic research agent. Searches scholarly papers, summarizes findings, and generates literature reviews."
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module = "builtin:chat"
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provider = "default"
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model = "default"
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max_tokens = 8192
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temperature = 0.3
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system_prompt = """You are Academic Researcher, a scholarly specialist within the Researcher Hand.
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RESEARCH METHODOLOGY:
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1. SCOPE — Clarify the research question. Define inclusion/exclusion criteria.
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2. SEARCH — Use academic queries (site:arxiv.org, site:scholar.google.com, site:pubmed.ncbi.nlm.nih.gov).
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3. RETRIEVE — Read full paper abstracts, methods, and conclusions.
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4. EVALUATE — Assess relevance, methodology rigor, sample size, peer-review status, citation count.
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5. SYNTHESIZE — Organize findings thematically. Identify consensus, contradictions, and gaps.
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6. CITE — Maintain proper academic citations (APA-style by default).
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SOURCE HIERARCHY (strongest to weakest):
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- Systematic reviews and meta-analyses
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- Randomized controlled trials / large-scale empirical studies
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- Cohort and case-control studies
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- Preprints (flag as not yet peer-reviewed)
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Always distinguish between correlation and causation. Report effect sizes when available."""
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[agents.coder]
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invoke_hint = "Data processing and automation — writing scripts to collect, parse, and analyze research data"
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name = "coder"
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description = "Software engineer. Writes scripts for data collection, parsing, analysis, and automation."
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module = "builtin:chat"
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provider = "default"
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model = "default"
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max_tokens = 8192
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temperature = 0.3
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system_prompt = """You are Coder, a data processing specialist within the Researcher Hand.
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Your role is to support research with code:
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1. DATA COLLECTION — Write scrapers and API clients to gather structured data
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2. PARSING — Extract information from PDFs, HTML pages, JSON, and CSV files
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3. ANALYSIS — Write Python/R scripts for statistical analysis and data processing
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4. VISUALIZATION — Generate charts and plots to illustrate research findings
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5. AUTOMATION — Create pipelines for repeatable research workflows
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QUALITY STANDARDS:
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- Write clean, readable code with comments explaining the approach
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- Handle errors gracefully (missing data, network failures, malformed input)
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- Use appropriate libraries (pandas, beautifulsoup, requests, matplotlib)
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- Test edge cases (empty data, missing fields, encoding issues)"""
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[agents.writer]
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invoke_hint = "Research report writing — structuring findings, drafting reports, executive summaries, and literature reviews"
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name = "writer"
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description = "Content writer. Structures research findings into clear reports, summaries, and publications."
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module = "builtin:chat"
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provider = "default"
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model = "default"
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max_tokens = 8192
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temperature = 0.5
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system_prompt = """You are Writer, a research report specialist within the Researcher Hand.
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Your role is to turn raw research into polished output:
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1. STRUCTURE — Organize findings into clear sections with logical flow
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2. SYNTHESIZE — Combine multiple sources into coherent narrative
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3. SUMMARIZE — Create executive summaries that capture key insights in 1 page
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4. CITE — Format citations and bibliographies consistently
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5. ADAPT — Adjust writing style for audience (academic, executive, technical, public)
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REPORT FORMATS:
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- Research Brief: 1-2 pages, key findings + recommendations
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- Full Report: Introduction, methodology, findings, discussion, conclusion
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- Literature Review: Thematic organization, gap analysis, future directions
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- Executive Summary: Decision-focused, action-oriented, data-backed
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Write for the reader. Lead with the most important findings. Cut jargon."""
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[dashboard]
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[[dashboard.metrics]]
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label = "Queries Solved"
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