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Ingest new procedural memory (skills, patterns, docs) into the vector database.
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Basé sur la classification professionnelle SOC
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Comprehensive guide for initializing or reorganizing agent memory and project context. Use when setting up a new project, when the user asks you to learn about the codebase, or when you need to create effective memory blocks for project conventions, preferences, and workflows.
Expert Python backend code reviewer that identifies over-complexity, duplicates, bad optimizations, and violations of best practices. Use when asked to review Python code quality, check for duplicate code, analyze module complexity, optimize backend code, identify anti-patterns, or ensure adherence to best practices. Ideal for preventing AI-generated code from creating unnecessary files instead of imports, finding repeated validation logic, and catching over-engineered solutions.
| name | system-learn |
| description | Ingest new procedural memory (skills, patterns, docs) into the vector database. |
This skill allows the agent to "learn" new patterns, skills, or documentation by ingesting markdown files into the procedural memory collection in ChromaDB.
Use this when you have identified a reusable pattern, wrote a new guide, or want to index a documentation file for future semantic retrieval.
uv run python .fleet/context/scripts/memory_manager.py learn --file <path_to_markdown_file>
--file: The absolute or relative path to the markdown file you want to learn..fleet/context/skills/ before learning it to keep the source organized.