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Automatically catalog and tag legal clauses for quick lookup and reuse. Generates JSON formatted metadata including labels, summaries, and searchable tags. Source: https://github.c
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Extract prospect priorities and pain points from call transcripts, then generate follow up emails that mirror their own language and concerns. Source: https://www.treetopgrowthstra
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Walks through a full first pass review of any commercial contract, asking clarifying questions about your perspective and liability caps before building an 18 row criteria table wi
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Produces a complete comparative market analysis for a property, picking comparable sales, building an adjustment grid, and landing on a final value conclusion. Use it when pricing
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Turns a raw job description into a structured sourcing brief with must haves, deal breakers, and a comp band estimate, plus ready to use Boolean search strings for LinkedIn, GitHub
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Generates a SQL query that builds a cohort by month offset retention matrix, with clear metric definitions and commented CTEs. Useful for product and data teams tracking how user c
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Groups messy user interview notes or transcripts into clear themes with supporting quotes, then ranks opportunity areas while keeping observations separate from your interpretation
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Calculates optimal safety stock using demand and lead time variability, then produces a recommendation table comparing your current buffer against the ideal level with carrying and
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Paste your A/B test results and get a structured evaluation covering statistical significance, effect size, segment differences, and novelty risk. Outputs a clear ship, kill, or ke
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Paste any stakeholder question and a schema description to get correct SQL, a plain English explanation of what the query returns, and edge cases the business user should know abou
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Calculates cash flow, cap rate, cash on cash return, GRM, and a 5 year projection for any rental property. Use it during due diligence to surface key risks and compare the deal aga
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Paste your A/B test results and get a rigorous evaluation covering statistical significance, power analysis, effect size, and segment breakdowns. Flags novelty effect risk and comm
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Generates a modular Python DataCleaner class where each data issue gets its own method, all steps chain together, and every run logs what changed alongside before/after row counts.
chain-of-thoughttemplatedata-extractioncode-generationdata-analyticsGPT-4Claude 3.5 SonnetGemini 1.5 Pro
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Takes a deposition transcript and produces a structured digest organized by topic, with page:line citations, key admissions, contradictions, and a dedicated impeachment section. Us
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Generates a structured comparison table for any regulatory obligation across multiple jurisdictions, mapping deadlines, required recipients, trigger thresholds, and exceptions side
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Chapter 7 Using Examples / Few Shot . Demonstrates how two worked examples of a paragraph structured individuals list train Claude to produce the same shape on a new paragraph, no
few-shottemplatedata-extractionxml-structuredanthropicClaude Sonnet 4.6Claude Opus 4.7Claude 3.5 Sonnet
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Chapter 8 Avoiding Hallucinations . A grounded QA template: extract the most relevant quote into <scratchpad , judge whether it answers the question, and only then write a brief nu
chain-of-thoughtdata-extractionxml-structuredguardrailsanthropicClaude Sonnet 4.6Claude Opus 4.7Claude 3.5 Sonnet
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From misc/generate test cases.ipynb in the cookbook. A meta prompt that takes a prompt template with {{variables}} and generates synthetic test cases in a structured XML format the
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From the same Anthropic prompt engineering guide. The canonical XML tagging recipe for any prompt that mixes instructions, context, examples, and variable inputs used throughout th