When should I use this instead of a standard survey writer?

Use Snapshot Writer for high-signal, one-page summaries in a 24-48 hour window. If you require full-length drafts with extensive prose, use a subsection or prose-writer skill instead.

What inputs are required to generate a snapshot?

The skill requires a structured outline file (outline.yml) and a core set of papers in CSV format to ensure all claims are backed by specific evidence.

How does Snapshot Writer prevent AI hallucinations?

It implements a strict guardrail that restricts all citations and pointers exclusively to the papers listed in your local core_set.csv or workspace candidate pool.

Does this skill produce long, narrative paragraphs?

No, it is intentionally designed to be 'bullet-first' and 'narrative-last,' avoiding meta-talk and filler sentences to provide the most useful information quickly.

Snapshot Writer

Name: Snapshot Writer
Author: WILLOSCAR

byWILLOSCAR

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コンテンツ管理

Generates concise, high-signal literature snapshots using a bullet-first methodology and evidence-based citation management.

概要

Snapshot Writer is designed for researchers and developers who need to quickly synthesize a field of study without the bloat of traditional surveys. It transforms a core set of papers and a structured outline into a compact, one-page literature snapshot that focuses on actionable reading paths, key themes, and cross-paper contrasts. By enforcing strict evidence-first guardrails, it prevents the invention of citations and ensures all pointers are traceable to a specific bibliography, making it an essential tool for the rapid discovery phase of any technical project.

主な機能

Bullet-heavy formatting for rapid information density and consumption
Evidence-first citation management using localized paper repositories
Strict narrative suppression to eliminate generic AI-generated filler
96 GitHub stars
Automated extraction of key themes and cross-paper contrasts
Structured reading paths for canonical anchors and recent baselines

ユースケース

Creating a 'what to read first' guide for technical project onboarding
Generating high-signal summary documentation from a domain-specific paper pool
Synthesizing a 48-hour literature review for a new research topic

概要

主な機能

Bullet-heavy formatting for rapid information density and consumption
Evidence-first citation management using localized paper repositories
Strict narrative suppression to eliminate generic AI-generated filler
96 GitHub stars
Automated extraction of key themes and cross-paper contrasts
Structured reading paths for canonical anchors and recent baselines

ユースケース

Creating a 'what to read first' guide for technical project onboarding
Generating high-signal summary documentation from a domain-specific paper pool
Synthesizing a 48-hour literature review for a new research topic