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cccskills
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paper-read

Summarize and critically analyze academic papers supplied as PDFs, text, arXiv links, or journal URLs. Ground claims in the inspected version and source locations; support focused questions, deeper appraisal, and cross-paper comparison.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

설치 방법 보기

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  • SKILL.md4.2 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Choose the depth

Match the user's question; a focused question need not produce a full-paper report.

ModeRead forOutput
skimProblem, approach, main results, figures, stated limitationsConcise overview with coverage limits.
read (default)Method, setup, results, and claim/evidence alignmentStructured account with source locations.
deepAssumptions, equations, ablations, implementation details, supplementsCritical appraisal and unresolved questions.

Depth describes coverage, not a guaranteed duration. A skim cannot certify methodological soundness. Use the user's language unless they request otherwise.

Acquire and identify the evidence

Use the supplied text or accessible PDF. For a link, obtain the paper through available browsing/download tools; record title, authors, identifier, exact version, publication status, and available main/supplementary files. An arXiv vN suffix identifies a specific version; preserve it instead of silently switching to the newest paper. New and legacy identifiers are described in the official arXiv identifier guide.

Extract with an available PDF reader, PyMuPDF, or Poppler. Use task-local files and paths appropriate to the host; do not assume /tmp or a particular shell. If extraction loses columns, math, tables, or figures, inspect rendered pages and state what remains unreadable. A missing tool does not require installing software when supplied text or another reader is sufficient.

For inaccessible/paywalled material, look for a legitimate author or repository copy, identify version differences, or request the relevant text. Do not infer the full paper from an abstract or pretend the supplement was inspected.

Analyze the inspected material

Read reading-framework.md for mode-specific strategies and article-type adjustments. For read and deep, use the relevant items from critical-appraisal.md.

Connect the problem, method, assumptions, training/inference setup, data, baselines, metrics, and results. Preserve units, denominators, uncertainty, dataset splits, and relative versus absolute improvements. Do not call a result statistically significant from its size alone.

For important claims, provide the claim, supporting section/table/figure/equation, what the evidence establishes, and any gap. Use printed page numbers where available and distinguish them from PDF page indexes. Distinguish an author's claim, your interpretation, an algebraic consistency check, and reproduced evidence. Reading a paper is not an independent reproduction or proof audit.

Treat publication status as context, not a substitute for evidence. The same criteria apply to a preprint and a peer-reviewed article. A repository listing or arXiv upload alone does not establish peer-review status.

Verify external comparisons through inspected primary sources. If only the paper's related-work account is available, attribute that comparison to the authors; do not invent a literature history or recommend unread papers as evidence.

Compare papers and report

For multiple papers, align task, dataset/split, metric, evaluation protocol, resources, and version before comparing numbers. Label incomparable results. Explain whether apparently contradictory claims involve different settings.

Deliver an answer centered on the user's question, key conclusions with source locations, strengths and limitations supported by evidence, inspected coverage, and unresolved uncertainties. For implementation requests, separate published settings, public-code defaults, and missing details. Relate findings to the user's stated research goal without assuming one from the author list or venue.

Use latex-polish or latex-fmt only for an additional requested manuscript task and only when the corresponding skill is available.

리뷰

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같은 저장소의 스킬

<What it does, one line>. Trigger phrases: <phrases>.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gabrielmoreira/agent-skills-mirror192026년 10월 23일 업데이트

Use this skill whenever the user wants to create or improve a presentation for an academic context — conference papers, seminar talks, thesis defenses, grant briefings, lab meetings, invited lectures, or any presentation where the audience will evaluate reasoning and evidence. Triggers include: 'conference talk', 'seminar slides', 'thesis defense', 'research presentation', 'academic deck', 'academic presentation'. Also triggers when the user asks to 'make slides' in combination with academic content (e.g., 'make slides for my paper on X', 'create a presentation for my dissertation defense', 'build a deck for my grant proposal'). This skill governs CONTENT and STRUCTURE decisions. For the technical work of creating or editing the .pptx file itself, also read the pptx SKILL.md.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gabrielmoreira/agent-skills-mirror192026년 10월 23일 업데이트

adapt

무료

Shortest English alias for web-adapt / universal-web-adaptation. Use this when adapting an unfamiliar public website generically before creating any site-specific rules.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gabrielmoreira/agent-skills-mirror192026년 10월 23일 업데이트

Use this skill to audit CLI adapter projects (like opencli) for missing output fields, then batch-generate fixes and submit PRs. Turns AI agents into adapter quality reviewers.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gabrielmoreira/agent-skills-mirror192026년 10월 23일 업데이트

ads

무료

Operate professional paid advertising across Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, and X. Use for account intake, source-grounded audits, strategy, budget and measurement planning, creative production, experiments, reporting, monitoring, and explicitly approved campaign changes. Also trigger on PPC, paid social, retail media, attribution, tracking, landing pages, cross-platform conversion totals, negative keywords or search terms, beta-feature scoring, stale platform claims, API-token or credential setup, campaign deletion, and safe Claude Ads installation or uninstall.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gabrielmoreira/agent-skills-mirror192026년 10월 23일 업데이트

Audit Amazon Ads profiles, regions, Sponsored Products, Sponsored Brands, Sponsored Display, DSP, portfolios, targeting, search terms, retail readiness, creative, budgets, ACOS, TACOS, reporting, and policy. Use for Amazon Ads, sponsored ads, Amazon PPC, ACOS, TACOS, ASIN advertising, Amazon DSP, or retail-media optimization.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gabrielmoreira/agent-skills-mirror192026년 10월 23일 업데이트

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