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Use this skill when you need to proofread research-focused slides, validate claims against primary-source links, avoid hallucinated metrics, and persist repeatable evidence-check history for future cycles.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Use this skill when you need deep verification of slide-5 interaction claims, continuous ArXiv/GitHub research on real-time social avatars, and self-evolving architecture guidance across MetaHuman, video generation, and Gaussian splatting.
Use this skill when you need deep, repeatable multimodal inputs/outputs research across MetaHuman, video generation, and Gaussian splatting, with auto-updated conclusions in deep-research-multimodal_inputs_outputs.md.
Use this skill when a task asks for deeper MetaHuman understanding from Unreal source, architecture/module/function extraction, continuous MetaHuman documentation refreshes, or cumulative memory across repeated analysis cycles.
Use this skill when you need deep, repeatable research on realtime Gaussian avatars, continuous ArXiv/GitHub tracking, and auto-updated conclusions in deep-research-Realtime-Gaussian Avatars.md.
Use this skill when you need to continuously collect the latest YouTube research/demo videos for realtime Gaussian avatar systems, publish a curated video-wall dataset, and keep a self-evolving memory of queries/channels over repeated cycles.
| name | slide-research-proofreader-evolver |
| description | Use this skill when you need to proofread research-focused slides, validate claims against primary-source links, avoid hallucinated metrics, and persist repeatable evidence-check history for future cycles. |
Run repeatable evidence-audit cycles for research slides in web/app/slides/SlidesDeck.tsx.
Each cycle verifies source-link coverage, emits pass/warn diagnostics per slide, and persists artifacts so later runs can detect regressions or recovery.
python .claude/skills/slide-research-proofreader-evolver/scripts/evolve_slide_research_proofread.py--min-primary-sources 2 (minimum primary links required per target slide)--strict (exit non-zero if any target slide is warned)--no-publish (skip mirror output in web/public/docs)SlideThreeApproachesSlideMetahumanHowSlideMetahumanIdentityResponseSlideGenerativeHowSlideGenerativeIdentityResponseSlideGenerativeMechanismSlideGenerativeResearchSlideGaussianHowSlideGaussianIdentityResponseSlideGaussianMechanismSlideGaussianCovarianceSlideSignalsInteractionSlideCapabilityMatrixSlideAudio2FaceBuildingBlocksSlideWhereIntelligenceLivesSlideResearchFrontierSlideConvergenceUpdatedSlideEvidenceStrip.arxiv.orgdev.epicgames.comgithub.comdocs.nvidia.comdeveloper.nvidia.comLocal skill outputs:
.claude/skills/slide-research-proofreader-evolver/references/latest-claim-check.json.claude/skills/slide-research-proofreader-evolver/references/latest-report.md.claude/skills/slide-research-proofreader-evolver/references/progress.md.claude/skills/slide-research-proofreader-evolver/references/history/claim-check-*.json.claude/skills/slide-research-proofreader-evolver/references/history/report-*.md.claude/skills/slide-research-proofreader-evolver/state.json.claude/skills/slide-research-proofreader-evolver/events.jsonlPublished mirrors (unless --no-publish):
web/public/docs/slide-proofread-latest.jsonweb/public/docs/slide-proofread-latest.mdEach cycle must:
newly_warned, recovered) at slide level.