The agent37-skills-collection is a comprehensive repository of Claude AI skills and commands designed to enhance productivity and streamline workflows. With a focus on practical applications, this collection helps users to use AI effectively in various tasks.
claude install Agent-3-7/agent37-skills-collectionAgent37-Skills-Collection provides Claude Code plugins that enhance productivity through targeted AI capabilities. The YC-Advisor plugin delivers startup advice from 434 curated resources including Paul Graham essays and founder interviews, automatically triggered when discussing startups or fundraising. The Local-Review command analyzes uncommitted code changes for bugs, security vulnerabilities, and compliance issues before committing. Developers and founders can install these skills to streamline workflows and improve code quality.
["Step 1: Gather your financial data from Productiv and ensure it is up-to-date and comprehensive.","Step 2: Clearly define the specific metric and time period you want to analyze.","Step 3: Use the agent37-skills-collection to input your data and specify the area of focus, such as budget forecasting or expense tracking.","Step 4: Review the insights and recommendations provided by the AI, and identify actionable steps.","Step 5: Implement the recommended changes and monitor the results using Productiv's real-time analytics tools."]
Automating repetitive tasks
Enhancing customer interactions
Streamlining data analysis
Improving sales outreach
claude install Agent-3-7/agent37-skills-collectiongit clone https://github.com/Agent-3-7/agent37-skills-collectionCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Using the agent37-skills-collection, help me analyze [COMPANY]'s financial data from Productiv. Identify trends in [SPECIFIC_METRIC] over the past [TIME_PERIOD]. Provide actionable insights and recommendations for optimization. Focus on [SPECIFIC_AREA] such as budget forecasting or expense tracking.
After analyzing [COMPANY]'s financial data from Productiv, several key trends and insights have emerged. Over the past [TIME_PERIOD], there has been a notable increase in [SPECIFIC_METRIC], particularly in the [SPECIFIC_AREA] department. This trend suggests a potential area for optimization. For instance, the data indicates that [SPECIFIC_ISSUE] is causing inefficiencies. To address this, I recommend implementing [SOLUTION]. This could involve [DETAILED_STEPS], which should be prioritized to ensure [DESIRED_OUTCOME]. Additionally, regular monitoring and adjustments based on real-time analytics will be crucial for sustained improvement.
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