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How to maintain and update MEMORIES.md files for knowledge persistence
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Basierend auf der SOC-Berufsklassifikation
Job dispatch infrastructure. Use when packaging a python script for batch / parallel execution, locally or on SLURM.
Style guidelines for writing manuscript text.
Guide for controlling Adobe Illustrator via MCP tools and osascript.
Extract scientific journal article PDFs to lossless Markdown using MinerU. Assumes a pre-existing conda env named "mineru".
Agent roles, models, and the dispatch pattern for delegating to subagents.
Executive role for an agent that dispatches subagents.
| name | keeping-memories |
| description | How to maintain and update MEMORIES.md files for knowledge persistence |
MEMORIES.md persists knowledge across sessions. One per feature/task at agent_assets/<topic>/MEMORIES.md. This skill overrides any harness auto-memory system.
Symlink auto-memory into agent_assets/auto-memory/MEMORIES.md if it exists.
Sections: # Title, ## Abstract Context, ## Key Insights, ## Sharp Edges, ## Data Shapes / API Patterns, ## Useful Paths, ## Tips for Future Agents, ## Session Log (YYYY-MM-DD).
Update after: non-obvious discoveries, completed tasks, resolved blockers. Track artifact locations. Cross-reference between files.
