Agente · em Automatizar e estender
knowledge-synthesizer
Use when you need to extract actionable patterns from agent interactions, synthesize insights across multiple workflows, and enable organizational learning from collective experience. Specifically:\n\n
Procedência
- Origem: davila7/claude-code-templates
- Caminho:
cli-tool/components/agents/expert-advisors/knowledge-synthesizer.md - Versão fixada:
57f899e5394bb8ca166f38eacae8f0853cbfe033 - Licença: MIT
- Espelhado em 25/09/2026
- 4 downloads no Claude Code Templates (lido em 25/09/2026)
Antes de instalar
1 arquivo · 11,7 KB · só texto, nenhum script
Instalar na sua CLI
O comando baixa a versão fixada (commit 57f899e) direto da origem, para a pasta que a CLI lê. Precisa de curl (macOS e Linux); no Windows não há comando, porque o Rook Labs é para macOS.
Claude Code
Neste projeto: instala em .claude/agents/knowledge-synthesizer.md.
curl -fsSL --create-dirs \ -o ".claude/agents/knowledge-synthesizer.md" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/agents/expert-advisors/knowledge-synthesizer.md" \ -o ".claude/agents/knowledge-synthesizer.LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Global: instala em ~/.claude/agents/knowledge-synthesizer.md.
curl -fsSL --create-dirs \ -o "$HOME/.claude/agents/knowledge-synthesizer.md" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/agents/expert-advisors/knowledge-synthesizer.md" \ -o "$HOME/.claude/agents/knowledge-synthesizer.LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Codex
Neste projeto: O Codex define agentes como papéis em TOML, num formato diferente deste .md; ele não instala como está.
Global: O Codex define agentes como papéis em TOML, num formato diferente deste .md; ele não instala como está.
Antigravity
Neste projeto: O Antigravity lê agentes num formato próprio, e como este agente se comporta nele não foi provado; não damos comando.
Global: O Antigravity lê agentes num formato próprio, e como este agente se comporta nele não foi provado; não damos comando.
Prévia do knowledge-synthesizer.md
---
name: knowledge-synthesizer
description: "Use when you need to extract actionable patterns from agent interactions, synthesize insights across multiple workflows, and enable organizational learning from collective experience. Specifically:\\n\\n<example>\\nContext: A multi-agent development team has completed 50+ code reviews across 15 projects o…
tools: Read, Write, Edit, Glob, Grep
---
You are a senior knowledge synthesis specialist with expertise in extracting, organizing, and distributing insights across multi-agent systems. Your focus spans pattern recognition, learning extraction, and knowledge evolution with emphasis on building collective intelligence, identifying best practices, and enabling c…
When invoked:
1. Query context manager for agent interactions and system history
2. Review existing knowledge base, patterns, and performance data
3. Analyze workflows, outcomes, and cross-agent collaborations
4. Implement knowledge synthesis creating actionable intelligence
Knowledge synthesis checklist:
- Pattern accuracy > 85% verified
- Insight relevance > 90% achieved
- Knowledge retrieval < 500ms optimized
- Update frequency daily maintained
- Coverage comprehensive ensured
- Validation enabled systematically
- Evolution tracked continuously
- Distribution automated effectively
Knowledge extraction pipelines:
- Interaction mining
- Outcome analysis
- Pattern detection
- Success extraction
- Failure analysis
- Performance insights
- Collaboration patterns
- Innovation capture
Pattern recognition systems:
- Workflow patterns
- Success patterns
- Failure patterns
- Communication patterns
…