eda-pdf-local-summary

النجوم٨

التفرعات٣

آخر تحديث٦ مارس ٢٠٢٦ في ١٨:٠٥

Summarize local paper PDFs into structured, citation-grounded evidence notes. Use when the user provides local PDF paths and asks for methods/assumptions/results/limitations extraction or wants evidence mapped to current EDA hypotheses.

التثبيت

التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.

المصدر

Mr-Fang-VLSI

Mr-Fang-VLSI/EDAgent

فتح مستودع GitHub عرض مستودعات المنشئ

تنزيل

المهن ذات الصلةSOC

استنادا إلى تصنيف SOC المهني

مطوّرو البرمجياتمهن الحاسوب والرياضيات·SOC 15-1252

مستكشف الملفات

6 ملفات

SKILL.md

readonly

name	eda-pdf-local-summary
description	Summarize local paper PDFs into structured, citation-grounded evidence notes. Use when the user provides local PDF paths and asks for methods/assumptions/results/limitations extraction or wants evidence mapped to current EDA hypotheses.

EDA PDF Local Summary

Overview

Use this skill to produce reusable local summary notes tied to page-level evidence.

Workflow

Validate input PDF path.

require absolute or repo-relative local path.
expected location: docs/papers/pdf/.

Extract text to local artifact.

Run scripts/extract_pdf_text.sh <pdf_path> <out_dir>.
default output dir: docs/papers/summaries/raw/.
default extractor priority is GROBID (via grobid_client + GROBID_SERVER), then falls back to pdftotext/mutool/pypdf if unavailable.
to disable GROBID for one run: set DISABLE_GROBID=1.
quality guard: if GROBID TEI result is too sparse, extractor auto-falls back to local text extraction.
when GROBID succeeds, keep TEI artifact alongside text (<pdf_stem>.tei.xml) for traceability.

Build structured summary.

Load references/summary-template.md.
Fill sections with explicit evidence snippets.
Prefer page-cited claims (p.xx) when recoverable from extracted text.
write output to: docs/papers/summaries/<pdf_stem>.summary.md.

3.5 Update paper manifest status.

locate corresponding row in docs/papers/manifests/*.paper_manifest.tsv.
update local_pdf_path and set status=summarized.

Sync landscapes after summary write.

run python3 scripts/common/paper_landscape_sync.py build.
ensure both landscape docs are updated:
- docs/knowledge_base/95_PROBLEM_LANDSCAPE.md
- docs/knowledge_base/96_METHOD_LANDSCAPE.md

Link to active hypothesis.

State whether paper supports, contradicts, or is neutral to current model/flow hypothesis.
add one "actionable next experiment" sentence.

Output Contract

Always output:

extracted text artifact path,
summary markdown path (docs/papers/summaries/<pdf_stem>.summary.md),
3-5 bullet findings with evidence strength (strong/medium/weak),
unresolved ambiguities requiring manual read,
updated manifest path (or explicit note if no manifest row matched).
landscape sync artifact paths (95/96 docs or explicit failure reason).

References

Load:

references/summary-template.md
references/evidence-grading.md

المزيد من هذا المستودع

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name	eda-pdf-local-summary
description	Summarize local paper PDFs into structured, citation-grounded evidence notes. Use when the user provides local PDF paths and asks for methods/assumptions/results/limitations extraction or wants evidence mapped to current EDA hypotheses.

EDA PDF Local Summary

Overview

Use this skill to produce reusable local summary notes tied to page-level evidence.

Workflow

Validate input PDF path.

require absolute or repo-relative local path.
expected location: docs/papers/pdf/.

Extract text to local artifact.

Run scripts/extract_pdf_text.sh <pdf_path> <out_dir>.
default output dir: docs/papers/summaries/raw/.
default extractor priority is GROBID (via grobid_client + GROBID_SERVER), then falls back to pdftotext/mutool/pypdf if unavailable.
to disable GROBID for one run: set DISABLE_GROBID=1.
quality guard: if GROBID TEI result is too sparse, extractor auto-falls back to local text extraction.
when GROBID succeeds, keep TEI artifact alongside text (<pdf_stem>.tei.xml) for traceability.

Build structured summary.

Load references/summary-template.md.
Fill sections with explicit evidence snippets.
Prefer page-cited claims (p.xx) when recoverable from extracted text.
write output to: docs/papers/summaries/<pdf_stem>.summary.md.

3.5 Update paper manifest status.

locate corresponding row in docs/papers/manifests/*.paper_manifest.tsv.
update local_pdf_path and set status=summarized.

Sync landscapes after summary write.

run python3 scripts/common/paper_landscape_sync.py build.
ensure both landscape docs are updated:
- docs/knowledge_base/95_PROBLEM_LANDSCAPE.md
- docs/knowledge_base/96_METHOD_LANDSCAPE.md

Link to active hypothesis.

State whether paper supports, contradicts, or is neutral to current model/flow hypothesis.
add one "actionable next experiment" sentence.

Output Contract

Always output:

extracted text artifact path,
summary markdown path (docs/papers/summaries/<pdf_stem>.summary.md),
3-5 bullet findings with evidence strength (strong/medium/weak),
unresolved ambiguities requiring manual read,
updated manifest path (or explicit note if no manifest row matched).
landscape sync artifact paths (95/96 docs or explicit failure reason).

References

Load:

references/summary-template.md
references/evidence-grading.md