infinite-gratitude

Infinite Gratitude is a multi-agent research skill for Claude Code. It uses 10 agents in 3 waves to gather and analyze data. Operations teams benefit from automated research tasks. Connects to Claude Code for AI-driven research workflows.

[{"step":"Install and configure the Infinite Gratitude skill in Claude Code by running `claude install infinite-gratitude` and setting up your API keys for [DATA_SOURCES] (e.g., Semantic Scholar, Google Scholar, or industry-specific databases).","tip":"Use the `--agents 10` flag to ensure all 10 agents are deployed for maximum coverage. If researching a niche topic, specify [DATA_SOURCES] to avoid irrelevant results."},{"step":"Define your research parameters by filling in [RESEARCH_TOPIC], [RESEARCH_SCOPE], and [KEY_INSIGHTS] in the prompt template. For example, if researching 'AI in healthcare diagnostics,' set the scope to '2019-2024' and key insights to 'regulatory approvals, accuracy improvements, and adoption barriers.'","tip":"Be specific with dates and metrics to narrow the focus. Avoid vague terms like 'recent trends'—instead, use 'last 3 years of FDA-approved AI diagnostic tools.'"},{"step":"Run the Infinite Gratitude skill using the prompt template and wait for the multi-agent system to complete its 3 waves of research (data gathering, analysis, and synthesis). Monitor progress in the Claude Code terminal or dashboard.","tip":"For large-scale research, use the `--async` flag to run the skill in the background. Check the logs for agent progress and intervene if any agent gets stuck (e.g., due to paywall restrictions)."},{"step":"Review the generated report, validate key findings against your [TARGET_AUDIENCE] needs, and refine the output if necessary. Use the embedded citations to fact-check critical claims.","tip":"If the report lacks depth in a specific area, rerun the skill with a refined [RESEARCH_SCOPE] or add more [DATA_SOURCES]. For example, include 'clinical trial data' if researching medical AI."},{"step":"Export the final report in your preferred format (e.g., PDF, Markdown, or CSV) and share it with stakeholders. Use the 'actionable recommendations' section to drive decision-making.","tip":"For executive audiences, highlight the top 3 insights and recommendations in a 1-page summary. For technical teams, include the raw data and methodology in an appendix."}]