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Use this resource to decompose a vector by orthogonal projection in a Hilbert space
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In a terminal, from the folder you want:
npx --yes palatekit@latest install hilbert-projection-rieszWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent follows the steps of orthogonal decomposition, the projection theorem and Riesz representation, then checks identities (including Parseval) with SymPy and Z3. You get a structured approach for an exercise or a proof.
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Updated November 2, 2026
You say
“Compute the orthogonal projection of this vector onto the closed subspace spanned by these two vectors.”

Skill published by parcadei under the MIT license, delivered in its original version.
Listed unmodified
« hilbert-spaces » (parcadei, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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