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Ingest new procedural memory (skills, patterns, docs) into the vector database.
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
| 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.Complete guide to the AgenticFleet memory system. Read this first.
Comprehensive guide to integrating DSPy with Microsoft Agent Framework in AgenticFleet, covering typed signatures, assertions, routing cache, GEPA optimization, and agent handoffs.
Quick reference card for DSPy + Agent Framework integration patterns: typed signatures, assertions, routing cache, and agent handoffs.
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
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.