codex

Presentations

Evidence-first research-group-meeting, research, and business presentation planning with exact CUHK Beamer/PDF as the default research route, explicit editable PPTX/Slides overrides, deck-plan schema, source fidelity, archetypes, and rendered scientific QA.

2 on GitHubby YuukiASv0.4updated todayResearch

Plugin presentations in YuukiAS/AI_Skills_Collection. Commands read from the repo's manifest — today.

What it installs

Skills (2)

  • business-presentations

    Plan business, executive, product, operations, market, client, strategy, pitch, and decision decks. Use when the audience is non-technical or the deck asks for a decision, resource, proposal, or business update.

  • research-presentations

    Plan evidence-first research and technical presentations from papers, repo evidence, Markdown reports, Asteria or TRACE exports, code results, figures, and existing decks. Use for group meetings, supervisor discussions, seminars, conferences, journal clubs, defenses, and scientific project updates.

View source on GitHub

More from YuukiAS/AI_Skills_Collection

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Writing quality layer with response clarity for ordinary explanations, source-fidelity guardrails, Product UI Copy for protected-meaning interface microcopy, heavy Chinese source-faithful structural rewrites, Chinese reader-facing say-it-plain final passes, and English scientific prose cleanup without detector evasion or research-structure decisions.

6 skills

2

Maintenance companion for AI_Skills_Collection plugin refinement and current-machine AI Research Stack updates: formal release routing, generated parity, replay, regression, versions, changelogs, profile installation, and Bridge Kit distribution delegation.

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Publication-ready scientific figures with contextual palette discovery, Notion-derived references, figure QA, schematics, and posters.

5 skills

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Repo reports, research documents, manuscripts, pre-submission review, literature review, citations, and claim-evidence organization.

3 skills

2

Statistical models, Bayesian workflows, Python data analysis, diagnostics, experiment design, and scientific visualization.

3 skills

2

Medical imaging, CMR, DICOM/NIfTI, segmentation, registration, imaging features, and imaging ML workflows.

2 skills

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