Automate a five-stage ALIVE analysis workflow with templates and checklists.
npx skills add https://github.com/with-geun/alive-analysis --skill alive-analysis
Please help me install this Agent Skill. Skill: alive-analysis Source: https://github.com/with-geun/alive-analysis/tree/main/platforms/claude-code Command: npx skills add https://github.com/with-geun/alive-analysis --skill alive-analysis
ALIVE-structured workflows enforce a traceable, reproducible analysis process with a five-stage loop and audit trail.
Start a new ALIVE analysis with /analysis-learn and fill each stage in order to build a complete, auditable analysis record.
High-intent search queries and answers about installing and using this skill.
Reproducible data analysis workflows with an audit trail are created by following a structured, five-stage process: ASK, LOOK, INVESTIGATE, VOICE, and EVOLVE. This framework provides stage-by-stage templates and checklists to ensure traceable outcomes.
The ALIVE framework for structured data analysis is a five-stage loop comprising ASK, LOOK, INVESTIGATE, VOICE, and EVOLVE. It enforces a traceable process with stage-wise evidence, enabling structured decision-making for cross-functional teams.
To start an analysis using the ALIVE workflow, initiate a new session with the /analysis-learn command. Fill each stage in order, from ASK through EVOLVE, to build a complete and auditable analysis record.
Yes, non-analyst stakeholders can participate in structured data analysis processes. The ALIVE framework provides cross-functional guidance, enabling both data analysts and non-analysts to collaborate and act on findings.
The best way to maintain version-controlled analyses for auditability is to keep them in-repo using a structured five-stage loop. This ensures analyses remain traceable, collaborative, and aligned with governance requirements.
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