Making smart technology choices is hard. This guide helps you evaluate new tools and decide what is right for your needs. It shares advice from experienced leaders at companies like Google and Shopify.
Focus on the problem first before looking at tools. Consider both building your own solution and buying a ready-made one. Remember that your time and mental energy matter just as much as money.
Stay open to change. Test your assumptions often because technology improves fast. Plan for modularity so you can swap tools when something better arrives.
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mkdir -p ~/.claude/skills/evaluating-new-technologyProject
mkdir -p .claude/skills/evaluating-new-technologySource Repository
Lark Baselarksuite/cli
Simplify your Lark Base data with tables, fields, records, and views
Lark Wikilarksuite/cli
Manage your Lark Wiki spaces, members, and documents with simple commands
Paper Context Resolverlllllllama/ai-paper-reproduction-skill
Resolve deep learning paper reproduction gaps with precise primary source evidence
Repo Intake And Planlllllllama/ai-paper-reproduction-skill
Scan a repo, extract commands, and get a minimal reproduction plan
Minimal Run And Auditlllllllama/ai-paper-reproduction-skill
Run commands and capture normalized evidence for reproducible deep learning research
Firecrawl Searchfirecrawl/cli
Search the web and extract full page content as markdown for deeper research
Ai Research Reproductionlllllllama/rigorpilot-skills
Faithful reproduction of deep learning research with auditable steps and minimal changes
Minimal Run And Auditlllllllama/rigorpilot-skills
Capture evidence from deep learning runs and create standardized audit reports