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rumil-search

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Mis à jour15 avril 2026 à 05:51

Embedding-based search over the active rumil workspace. Takes a free-text query and returns the most semantically similar pages (questions, claims, judgements, concepts). Default mode is a fast top-N lookup with similarity scores — use proactively mid-conversation to check what the workspace already knows about a topic, find related research, or check for duplicates before creating a new question. Pass --full for the multi-tier context builder when you want a deeper rendered read.

Installation

Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.

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Source

chaosGuppy

chaosGuppy/rumil

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Métiers associésSOC

Basé sur la classification professionnelle SOC

Assistants bibliothécaires, clericalBureau et soutien administratif·SOC 43-4121

SKILL.md

readonly

name	rumil-search
description	Embedding-based search over the active rumil workspace. Takes a free-text query and returns the most semantically similar pages (questions, claims, judgements, concepts). Default mode is a fast top-N lookup with similarity scores — use proactively mid-conversation to check what the workspace already knows about a topic, find related research, or check for duplicates before creating a new question. Pass --full for the multi-tier context builder when you want a deeper rendered read.
allowed-tools	Bash
argument-hint	<query> [--full] [--limit N]

rumil-search

Free-text semantic search across the active workspace.

Modes

default (quick) — top-N pages at ABSTRACT detail with similarity scores. Fast and cheap. Use this first. --limit N controls the number of results (default 8).
--full — the multi-tier context builder used inside real rumil calls. Returns a richer rendered block (full pages + summaries within configured char budgets). Reach for this when you want a deep read, not just a pointer list.

setopt no_glob 2>/dev/null; set -f; PYTHONPATH=.claude/lib uv run python -m rumil_skills.search_workspace $ARGUMENTS

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name	rumil-search
description	Embedding-based search over the active rumil workspace. Takes a free-text query and returns the most semantically similar pages (questions, claims, judgements, concepts). Default mode is a fast top-N lookup with similarity scores — use proactively mid-conversation to check what the workspace already knows about a topic, find related research, or check for duplicates before creating a new question. Pass --full for the multi-tier context builder when you want a deeper rendered read.
allowed-tools	Bash
argument-hint	<query> [--full] [--limit N]

rumil-search

Free-text semantic search across the active workspace.

Modes

default (quick) — top-N pages at ABSTRACT detail with similarity scores. Fast and cheap. Use this first. --limit N controls the number of results (default 8).
--full — the multi-tier context builder used inside real rumil calls. Returns a richer rendered block (full pages + summaries within configured char budgets). Reach for this when you want a deep read, not just a pointer list.

setopt no_glob 2>/dev/null; set -f; PYTHONPATH=.claude/lib uv run python -m rumil_skills.search_workspace $ARGUMENTS