Agent Skillswaybarrios/opencode-power-pack › paper-summarizer

paper-summarizer

GitHub

用于提取学术论文和技术文档的可操作见解,生成包含摘要、关键发现、证据映射及实践意义的结构化报告,辅助工程决策。

skills/paper-summarizer/SKILL.md waybarrios/opencode-power-pack

Trigger Scenarios

需要分析 arXiv/PubMed/IEEE/ACM 论文链接 需要解读 PDF 学术文献内容 需要进行方法论审查或提取工程决策依据

Install

npx skills add waybarrios/opencode-power-pack --skill paper-summarizer -g -y
More Options

Use without installing

npx skills use waybarrios/opencode-power-pack@paper-summarizer

指定 Agent (Claude Code)

npx skills add waybarrios/opencode-power-pack --skill paper-summarizer -a claude-code -g -y

安装 repo 全部 skill

npx skills add waybarrios/opencode-power-pack --all -g -y

预览 repo 内 skill

npx skills add waybarrios/opencode-power-pack --list

SKILL.md

Frontmatter
{
    "name": "paper-summarizer",
    "license": "MIT (modified; see UPSTREAMS.json)",
    "description": "Agents should invoke this skill for academic or technical papers, arXiv\/PubMed\/IEEE\/ACM links, PDFs, methodology review, limitations, practical implications, or extracting findings for engineering decisions."
}

Paper Summarizer

Extract actionable insights from academic and technical papers.

Summary Format

# Paper Summary: <Paper Title>

**Authors:** [Author list]
**Published:** [Journal/Conference, Date]
**Link:** [URL]
**Quality:** Peer-reviewed / Preprint / Workshop paper

## TL;DR

[1-2 sentence summary of the key contribution]

## Problem

[What problem does this paper address? Why does it matter?]

## Approach

[Methodology in plain language — what did they do?]

## Key Findings

Anchor each finding to the paper so readers can verify. Use **§** for sections, **Fig.** / **Table** when the evidence is visual or tabular.

1. **[Finding 1]:** [Description with key metrics/numbers] — *Evidence:* §[N] [section name]; [Fig. X / Table Y if applicable]
2. **[Finding 2]:** [Description] — *Evidence:* §[N] …
3. **[Finding 3]:** [Description] — *Evidence:* §[N] …

## Claim–evidence map

| # | Claim (one line) | Where in paper | Type |
|---|------------------|----------------|------|
| 1 | [Claim] | §3.2 Results, Table 2 | Empirical |
| 2 | [Claim] | §1 Introduction | Stated goal |
| 3 | [Claim] | Fig. 4 | Qualitative |

Use this table for citation-audit alignment against the project's own research notes. If the PDF has no section numbers, use **page** or **heading text** instead of §.

## Practical Implications

[What does this mean for practitioners? How can we use these findings?]
- For the current stack: [Specific applicability to Rust/TS/Python work]
- For current projects: [How this might inform current work]

## Limitations

- [Limitation 1: e.g., small sample size, specific domain]
- [Limitation 2: e.g., not replicated, theoretical only]

## Related Work

- [Paper 1] — [How it relates]
- [Paper 2] — [How it relates]

## Verdict

**Reliability:** High / Medium / Low
**Relevance to us:** High / Medium / Low
**Action:** Apply directly / Consider for future / Interesting but not actionable

Process

Step 1 — Access the Paper

  • Check arXiv, PubMed, Google Scholar for open-access versions
  • If behind a paywall, note this and work with the abstract and any available supplementary material
  • Check for author's personal page (often has preprints)

Step 2 — Read Strategically

  1. Abstract — Get the overview
  2. Introduction (last paragraph) — Usually states the contribution
  3. Figures and tables — Often convey key results
  4. Conclusion — Summary of findings and limitations
  5. Methodology — If the findings are relevant enough to dig deeper

Step 3 — Extract claims with locations

Before paraphrasing implications, list atomic claims the paper makes (results, bounds, contributions). For each: section / figure / table reference (or page). Prefer primary evidence (results section) over abstract-only restatement.

Step 4 — Extract Practical Value

The most important question: "What can we do differently because of this paper?"

  • If the answer is "nothing" — still summarize, but note low actionability
  • If the answer is specific — tie each implication to a row in Claim–evidence map where possible

Step 5 — Assess Reliability

Factor Assessment
Peer review status Published / Preprint / Workshop
Replication Replicated / Single study / Theoretical
Sample size Adequate / Small / N/A
Methodology rigor Strong / Moderate / Weak
Author credibility Established / New / Anonymous
Conflicts of interest None apparent / Funded by [X] / Vendor paper

Version History

  • f198a18 Current 2026-08-16 09:12

Same Skill Collection

skills/agentic-actions-auditor/SKILL.md
skills/agents-md-revise/SKILL.md
skills/ai-slop/SKILL.md
skills/code-architect/SKILL.md
skills/code-explorer/SKILL.md
skills/code-quality/SKILL.md
skills/code-review/SKILL.md
skills/code-reviewer/SKILL.md
skills/codeql/SKILL.md
skills/design-patterns/SKILL.md
skills/differential-review/SKILL.md
skills/feature-dev/SKILL.md
skills/fp-check/SKILL.md
skills/frontend-design/SKILL.md
skills/hf-cli/SKILL.md
skills/hf-cloud-aws-context-discovery/SKILL.md
skills/hf-cloud-python-env-setup/SKILL.md
skills/hf-cloud-sagemaker-deployment-planner/SKILL.md
skills/hf-cloud-sagemaker-iam-preflight/SKILL.md
skills/hf-cloud-sagemaker-production-defaults/SKILL.md
skills/hf-cloud-serving-image-selection/SKILL.md
skills/hf-mem/SKILL.md
skills/huggingface-best/SKILL.md
skills/huggingface-community-evals/SKILL.md
skills/huggingface-datasets/SKILL.md
skills/huggingface-gradio/SKILL.md
skills/huggingface-llm-trainer/SKILL.md
skills/huggingface-local-models/SKILL.md
skills/huggingface-lora-space-builder/SKILL.md
skills/huggingface-paper-publisher/SKILL.md
skills/huggingface-papers/SKILL.md
skills/huggingface-spaces/SKILL.md
skills/huggingface-tool-builder/SKILL.md
skills/huggingface-trackio/SKILL.md
skills/huggingface-vision-trainer/SKILL.md
skills/huggingface-zerogpu/SKILL.md
skills/insecure-defaults/SKILL.md
skills/mcp-builder/SKILL.md
skills/sarif-parsing/SKILL.md
skills/security-review/SKILL.md
skills/security-threat-model/SKILL.md
skills/semgrep-rule-creator/SKILL.md
skills/semgrep-rule-variant-creator/SKILL.md
skills/semgrep/SKILL.md
skills/sharp-edges/SKILL.md
skills/skill-creator/SKILL.md
skills/supply-chain-risk-auditor/SKILL.md
skills/train-sentence-transformers/SKILL.md
skills/transformers-js/SKILL.md

Metadata

Files
0
Version
f198a18
Hash
be91c68b
Indexed
2026-08-16 09:12

inicio - Wiki
Copyright © 2011-2026 iteam. Current version is 2.155.2. UTC+08:00, 2026-08-16 17:52
浙ICP备14020137号-1 $mapa de visitantes$