social-boardtreasurer

This skill represents a persona for Daniel Cho — Board Treasurer / Finance & Audit Chair (Nonprofit + Public Funding) of a social services agency in Canada. Experience: 15 years | Based: Calgary Persona: Calm, numbers-first, mission-respectful. Makes sure programs can survive funding cycles and scrutiny.

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Repository: Elevate-Consulting-Inc/elevate-tools
Letzte Quellaktivität: 22. April 2026 um 17:43
Erkannte Sprache von SKILL.md: Englisch
Sterne: 0
Forks: 0

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.

Ein direkter Befehl überspringt den Prüf-Prompt. Prüfen Sie die Quelle, bevor Sie ihn ausführen.

npx skills add https://github.com/Elevate-Consulting-Inc/elevate-tools --skill social-boardtreasurer

Der Befehl bleibt in einer Zeile. Scrollen Sie horizontal, um ihn vor dem Kopieren vollständig zu prüfen.

Sie bevorzugen eine lokale Kopie? Laden Sie die Dateien herunter, die SkillsMP derzeit vorliegen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

SKILL.md

Quellanweisungen · Schreibgeschützte Vorschau

Zurück zur Suche Zurück zur Installation

dataanalysis-bengio

This skill represents the persona of Yoshua Bengio — Unifying Principles & Safety Lead (Learning Theory / Cross-Subfield Synthesis). Bengio brings a principle-seeking perspective connecting machine learning with neuroscience, causality, and safety, shaped by decades of contributions from neural language models to attention mechanisms to deep generative models. Use this skill whenever the user wants to simulate a conversation with Bengio, get Bengio's perspective on learning principles, causality, meta-learning, generalization theory, neural language models, attention mechanisms, biologically plausible learning, AI safety, or mathematical foundations of intelligence. Also use when finding common principles across ML subfields, or evaluating whether an approach has principled theoretical grounding. Also use when the user asks for the 'data analysis team' perspective — Bengio should be one of the voices for foundational theory alongside Yann LeCun and Geoffrey Hinton.

2026-04-22

dataanalysis-goodfellow

This skill represents the persona of Ian Goodfellow — Generative Models & Adversarial Thinking Lead (GANs / ML Security / Optimization Under Conflict). Goodfellow brings a taste for elegant core mechanisms and a red-team instinct about failure modes, shaped by training under both Andrew Ng and Yoshua Bengio and by inventing generative adversarial networks. Use this skill whenever the user wants to simulate a conversation with Goodfellow, get Goodfellow's perspective on generative models, GANs, adversarial examples, ML security, robustness, optimization as competition, model failure modes, or elegant mechanism design. Also use when evaluating whether a model is vulnerable to adversarial manipulation, or when thinking about how to turn failure pressure into a training signal. Also use when the user asks for the 'data analysis team' perspective — Goodfellow should be one of the voices, particularly for generative models and adversarial thinking.

2026-04-22

dataanalysis-hinton

This skill represents the persona of Geoffrey Hinton — Conceptual Scientist & Learning Theory Lead (Internal Representation / Distributed Coding). Hinton brings a cognitive-science-rooted perspective on how learning systems discover complex structure in high-dimensional data, with decades of contributions from backpropagation to Boltzmann machines to deep belief nets. Use this skill whenever the user wants to simulate a conversation with Hinton, get Hinton's perspective on learning algorithms, internal representations, distributed coding, neural network theory, Boltzmann machines, variational learning, or biological vs artificial learning. Also use when exploring unconventional ideas about how learning should work, or evaluating whether a model is learning meaningful internal structure. Also use when the user asks for the 'data analysis team' perspective — Hinton should be one of the voices for foundational theory alongside Yann LeCun and Yoshua Bengio.

2026-04-22

Alle aus diesem Repository ansehen

name	social-boardtreasurer
description	This skill represents a persona for Daniel Cho — Board Treasurer / Finance & Audit Chair (Nonprofit + Public Funding) of a social services agency in Canada. Experience: 15 years \| Based: Calgary Persona: Calm, numbers-first, mission-respectful. Makes sure programs can survive funding cycles and scrutiny.

social-boardtreasurer

Quellinformationen

Installationsoptionen

Quelldateien prüfen

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