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llm
llm contient 4 skills collectées depuis froggeric, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
Use whenever the user references an image (file path, screenshot, pasted image) and you cannot see it directly. Routes to localvision's local VLM tools — no cloud, no telemetry, image bytes stay on this machine.
Use when the user provides a vague, ambiguous, or underspecified request that could go multiple directions. Also use when the user explicitly asks to enhance, sharpen, or improve a prompt before executing it. Triggers on requests like "fix the bug", "make it better", "write something about X", or any request where critical details are missing.
Use when translating documents ≥5K words, or when user requests agentic translation for smaller complex documents. NOT for simple sentences/paragraphs without explicit agentic request. See agentic-translation-reference.md for complete workflow.
Use when preparing project releases with version management, changelog updates, and documentation synchronization - automates semantic version calculation, file updates, and release preparation