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Deep-search Claude-Mem archive history using the search -> ids -> details workflow.
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
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Index local files and optionally watch a folder for automatic RAG indexing using ChromaDB and Whoosh. Use when the user wants to make local files searchable or enable hot-watch on a directory.
Create, update, or refine the system prompts for the Agency roles (Supervisor, Researcher, Coder, Reviewer).
Recursively merges .py files from a directory into a single source string.
Executes Python code in a temporary sandbox to verify it works before finalizing a mission.
| name | archive-researcher |
| description | Deep-search Claude-Mem archive history using the search -> ids -> details workflow. |
| tags | ["researcher","universal"] |
| compatibility | Requires Python 3.10+ |
Use this skill when the agent needs historical technical context from Claude-Mem that is too detailed for the local truth layer alone.
The skill follows Claude-Mem's token-efficient pattern:
