115 lines
5.2 KiB
JSON
115 lines
5.2 KiB
JSON
{
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"description": "Progressive web learning strategy for infinite agentic loop variant generation",
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"priming_urls": [
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"https://docs.anthropic.com/en/docs/claude-code/tutorials",
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"https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/overview",
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"https://www.promptingguide.ai/techniques",
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"https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/chain-prompts"
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],
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"iteration_urls": {
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"foundation": [
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{
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"url": "https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/multishot-prompting",
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"topic": "Multi-shot prompting patterns for consistent agent behavior",
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"techniques": ["example-based learning", "pattern reinforcement", "consistency"]
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},
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{
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"url": "https://www.promptingguide.ai/techniques/cot",
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"topic": "Chain-of-thought prompting for agent reasoning",
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"techniques": ["step-by-step reasoning", "explicit thinking", "problem decomposition"]
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},
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{
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"url": "https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/be-clear-and-direct",
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"topic": "Clear directive patterns for reliable agent orchestration",
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"techniques": ["explicit instructions", "role clarity", "task specification"]
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}
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],
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"intermediate": [
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{
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"url": "https://www.promptingguide.ai/techniques/react",
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"topic": "ReAct pattern: Reasoning and Acting in multi-agent systems",
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"techniques": ["interleaved reasoning", "action planning", "observation loops"]
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},
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{
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"url": "https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/chain-prompts",
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"topic": "Chain prompting for complex multi-stage workflows",
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"techniques": ["workflow decomposition", "state passing", "staged execution"]
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},
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{
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"url": "https://www.promptingguide.ai/techniques/self-consistency",
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"topic": "Self-consistency for quality assurance across parallel agents",
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"techniques": ["multiple sampling", "consistency checks", "majority voting"]
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},
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{
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"url": "https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/let-claude-think",
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"topic": "Extended thinking for complex orchestration decisions",
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"techniques": ["deliberate reasoning", "problem analysis", "strategic planning"]
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}
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],
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"advanced": [
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{
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"url": "https://www.promptingguide.ai/techniques/meta-prompting",
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"topic": "Meta-prompting: Prompts that generate and improve prompts",
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"techniques": ["self-improvement", "dynamic prompt generation", "reflection"]
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},
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{
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"url": "https://www.promptingguide.ai/techniques/pal",
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"topic": "Program-Aided Language Models for structured agent coordination",
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"techniques": ["code generation", "programmatic control", "structured workflows"]
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},
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{
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"url": "https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/prompt-generator",
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"topic": "Automated prompt generation and optimization",
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"techniques": ["prompt templates", "dynamic generation", "optimization loops"]
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},
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{
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"url": "https://www.promptingguide.ai/techniques/tree-of-thoughts",
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"topic": "Tree of Thoughts: Multi-path exploration in agent systems",
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"techniques": ["exploration strategies", "branching logic", "path evaluation"]
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}
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],
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"expert": [
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{
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"url": "https://www.promptingguide.ai/research/llm-agents",
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"topic": "LLM agent architectures and coordination patterns",
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"techniques": ["agent frameworks", "communication protocols", "memory systems"]
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},
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{
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"url": "https://www.promptingguide.ai/techniques/reflexion",
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"topic": "Reflexion: Self-reflection and learning in agent systems",
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"techniques": ["error analysis", "iterative improvement", "learning loops"]
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},
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{
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"url": "https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/long-context-tips",
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"topic": "Long-context optimization for complex agent orchestration",
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"techniques": ["context management", "information retrieval", "memory optimization"]
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}
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]
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},
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"web_search_templates": [
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"multi-agent system coordination patterns site:arxiv.org",
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"prompt engineering best practices {year}",
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"agent orchestration frameworks github",
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"meta-prompting techniques site:promptingguide.ai",
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"claude code slash command patterns site:docs.anthropic.com",
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"parallel agent execution patterns",
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"self-improving AI systems architecture",
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"quality evaluation in generative AI",
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"state management distributed agents",
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"configuration-driven agent systems"
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],
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"fallback_searches": [
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"advanced prompt engineering techniques",
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"multi-agent AI coordination",
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"agent-based software architecture",
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"automated quality evaluation AI",
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"meta-learning agent systems"
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],
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"notes": {
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"priming_strategy": "Start with Claude docs and general prompting guides",
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"progression": "Move from basic patterns to meta-level capabilities",
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"application": "Each iteration should demonstrate 2-3 specific techniques from its URL",
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"documentation": "Document source URL and techniques learned in README"
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}
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}
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