Parse SWARM run metadata and summary files into structured vault notes.
npx skills add https://github.com/swarm-ai-safety/swarm --skill synthesize-swarm-ai-safety
Please help me install this Agent Skill. Skill: synthesize Source: https://github.com/swarm-ai-safety/swarm/tree/main/.skills/synthesize Command: npx skills add https://github.com/swarm-ai-safety/swarm --skill synthesize-swarm-ai-safety
This Skill automates the process of transforming raw simulation run data into structured, human-readable experiment notes and updates the central knowledge base, ensuring research findings are consistently documented and discoverable.
run.yaml and summary files.run-index.yaml and vault/_index.md) for comprehensive research tracking.Use the synthesize skill to process the latest run in the runs directory.
High-intent search queries and answers about installing and using this skill.
To automate documentation for multi-agent simulation runs, this skill parses run.yaml and summary files to generate structured experiment notes and updates the central knowledge base index for consistent research tracking.
Link new simulation evidence to existing research claims by scanning vault claim data against new run results. The synthesis process checks for new evidence supporting or weakening existing claims and rebuilds the master index for comprehensive tracking.
Yes, Python is required to synthesize simulation run data into vault notes. The skill depends on Python to parse run metadata, generate experiment notes, and rebuild the research knowledge base index.
The best way to rebuild a research knowledge base index after new simulation runs is to synthesize run metadata and summary data. This process updates run-index.yaml and vault/_index.md to ensure research findings remain consistently documented and discoverable.
Using this synthesis skill without existing vault claim data limits its core functionality. The skill requires access to run configuration, results, and vault claim data to perform evidence linking and generate complete experiment notes for the knowledge base.
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