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snapshot-writer快照写入器

Agent Skill

snapshot-writer 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

759

周安装

31

GitHub Stars

422

下载量

243
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:snapshot-writer(快照写入器)
来源仓库:https://github.com/willoscar/research-units-pipeline-skills
仓库路径:skills/snapshot-writer
安装命令:
npx skills add https://github.com/willoscar/research-units-pipeline-skills --skill snapshot-writer
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/willoscar/research-units-pipeline-skills --skill snapshot-writer

简介

snapshot-writer 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。
  • 通过 npx skills add 命令从指定仓库安装并使用该技能。
  • 安装前建议确认权限范围和维护状态,避免触发联网或文件读写操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Snapshot Writer (1-page, bullet-first)

Goal: produce a compact, reader-facing snapshot that answers:

  • what is the topic boundary?
  • what are the key themes?
  • what should a reader read first?

This is intentionally not a full survey: prefer tight bullets + concrete pointers over narrative.

Role cards (use explicitly)

Snapshot Editor (scout)

Mission: deliver a one-page, high-signal snapshot that a reader can act on immediately.

Do:

  • Keep every bullet content-bearing: claim -> why it matters -> pointer(s).
  • Prefer contrasts and evaluation anchors over topic lists.
  • Treat paper pointers as the product (auditable, minimal).

Avoid:

  • Outline narration ("This snapshot/section...") and slide navigation ("Next, we...").
  • Generic survey boilerplate and disclaimer spam.
  • Turning the snapshot into a mini-survey with long paragraphs.

Pointer Curator (bibliography hygiene)

Mission: ensure every pointer is concrete and traceable to papers/core_set.csv.

Do:

  • Use a stable pointer format: P#### - Title (arXiv:... / doi:... / url:...).
  • Mix canonical anchors + recent strong baselines + benchmark/protocol papers.

Avoid:

  • Dumping every paper; the snapshot is a reading path, not a catalog.

Role prompt: Snapshot Author (bullet-first; paper-like)

You are writing a one-page literature snapshot.

Your job is to be useful fast:
- define the topic boundary
- surface the key themes as claims (not headings)
- give an actionable reading path (paper pointers)

Style:
- bullets-first, compact, calm
- no narration ("In this snapshot...") and no slide navigation ("Next, we...")

Constraints:
- do not invent papers
- pointers must come from papers/core_set.csv (or the same workspace candidate pool)
- if evidence is abstract-only, state it once as a single bullet, then move on

Inputs

Required:

  • outline/outline.yml
  • papers/core_set.csv

Optional (if available):

  • queries.md (time window / exclusions context)
  • papers/papers_dedup.jsonl (if core_set is very small)

Outputs

  • output/SNAPSHOT.md

Writing contract (paper-like, not generator-like)

  • Keep it to about 1 page (roughly <= 700-900 words).
  • Bullets-first: use short paragraphs only when unavoidable (<= 3 lines each).
  • No outline narration: avoid This section/subsection..., In this snapshot..., Next, we....
  • Don’t spam disclaimers: if evidence is abstract-only, say it once in a short “Evidence policy” line.
  • Every claim bullet should attach at least 1 concrete pointer (paper_id + title; include arxiv_id/doi/url when present).

Recommended structure (stable, minimal headings)

  1. Title + scope (2-3 bullets)
  2. Evidence policy (1 bullet)
  3. Taxonomy (4-6 bullets; groupings only)
  4. Key themes (6-10 bullets; each bullet = 1 claim + 1-2 pointers)
  5. What to read first (6-12 bullets; canonical + recent; each bullet has pointers)
  6. Open problems / risks (4-8 bullets)

Workflow

  1. Read outline/outline.yml and extract:

- the intended chapter structure (H2) - the 6-10 most “write-worthy” bullets per chapter

  1. Read papers/core_set.csv and build a small “pointer palette”

- Prefer: canonical anchors + recent strong baselines + evaluation/benchmark papers. - Avoid: dumping every paper; pick “must-read” sets. - If papers/core_set.csv is very small, also scan papers/papers_dedup.jsonl and cherry-pick a few missing anchors (keep pointers auditable).

  1. Write output/SNAPSHOT.md

- Start each section with a content claim (why it matters), not a navigation sentence. - Make at least 2 cross-paper contrasts (A vs B) to avoid a flat list. - Use consistent pointer formatting, e.g.: - P0012 - <Title> (arXiv:xxxx.xxxxx) or P0012 - <Title> (doi:...)

Definition of Done

  • output/SNAPSHOT.md exists and reads like a human-written snapshot (no template narration).
  • Includes >= 15 distinct paper pointers (or all papers if core_set < 15).
  • Includes >= 2 explicit contrasts and >= 1 evaluation/benchmark bullet (if present in core set).

Troubleshooting

Issue: snapshot feels empty / generic

Fix:

  • Increase papers/core_set.csv size (rerun retrieval/dedupe with broader queries.md).
  • Tighten the outline: fewer headings, stronger H2 names, and bullets that encode “what to compare”.

Issue: snapshot reads like an outline narrator

Fix:

  • Delete all “This section...” openers and replace with: Claim -> why it matters -> pointers.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

31.33%
按下载量换算76

Gemini CLI

24.91%
按下载量换算61

Cursor

16.36%
按下载量换算40

Codex

12.07%
按下载量换算29

OpenCode

8.24%
按下载量换算20

Antigravity

3.78%
按下载量换算9

安全审计

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Snyk

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权限和风险

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安装前确认

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来源信息

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