Token导航 LogoToken导航TokenDH.com
研究检索需要联网github未标认证来源可访问许可证需确认审计异常

datasheet-intelligence数据表情报

Agent Skill

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

总安装

576

周安装

24

GitHub Stars

公开资料未说明

下载量

192
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

2

许可证

unknown

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:datasheet-intelligence(数据表情报)
来源仓库:https://github.com/dhkimxx/ai-agent-skills
仓库路径:skills/datasheet-intelligence
安装命令:
npx skills add https://github.com/dhkimxx/ai-agent-skills --skill datasheet-intelligence
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/dhkimxx/ai-agent-skills --skill datasheet-intelligence

简介

用于从 PDF/DOCX/XLSX 数据表中提取证据支持的硬件答案和代码。

  • 默认启用快速模式,仅在需要表格/标题保真度时使用结构化输出。
  • 优先运行内置脚本(toc.py、search.py、read.py),按需加载参考资料。
  • 需使用 uv 管理依赖,不依赖 PEP 723 内联元数据。
  • 安装前建议检查项目环境及是否会执行外部命令或下载资源。

SKILL.md

Datasheet Intelligence

Objective

  • Produce evidence-grounded hardware answers and code from PDF/DOCX/XLSX datasheets.
  • Prefer fast mode by default; use --structured only when table/header fidelity is required.

Context Policy

  • Keep SKILL.md minimal and procedural.
  • Run scripts/toc.py, scripts/search.py, scripts/read.py directly before loading extra references.
  • Load references/usage.md only for detailed flags or format-specific examples.

Prerequisites

Use uv with this skill's pyproject.toml and uv.lock. Do not rely on PEP 723 inline script metadata.

# Install uv if needed
curl -LsSf https://astral.sh/uv/install.sh | sh

Use one of these execution contexts:

  • Recommended (works from any directory): uv run --project skills/datasheet-intelligence...
  • Alternative: cd skills/datasheet-intelligence && uv run...

All command examples below use the recommended --project style.

Mandatory Execution Loop

  1. MUST identify candidate pages first with scripts/toc.py or scripts/search.py before large reads.
  2. MUST read targeted ranges with scripts/read.py --pages and expand iteratively.
  3. MUST verify every critical claim (address, bit position, reset value, formula) with source file + page/section.
  4. MUST rerun extraction on mismatch or ambiguity (search -> read -> search).
  5. MUST follow Tip: / Try: guidance from script errors, then rerun.
  6. MUST not finalize the answer until critical code settings are mapped to citations.

Workflow

PDF Datasheets

Choose the strategy by document size.

Small (< 50 pages)

  1. Run scripts/toc.py (use --structured if bookmarks are missing).
  2. Run scripts/read.py --pages for relevant sections.
  3. Add --structured if tables are broken.

Medium (50-150 pages)

  1. Run scripts/toc.py --filter to narrow sections.
  2. Run scripts/search.py to locate exact pages.
  3. Run scripts/read.py --pages for focused ranges (use --structured for table-heavy ranges).

Large (>= 150 pages)

Never read the whole document at once.

  1. Run scripts/toc.py to map sections and page ranges.
  2. If scripts/toc.py reports no bookmarks, switch immediately to scripts/search.py (search-first) instead of full --structured TOC.
  3. Skip low-value sections (Legal, Revision History, Ordering Info, Package Drawing).
  4. Run scripts/search.py for exact keyword locations (--unique-pages recommended for long documents).
  5. Run scripts/read.py --pages in 10-30 page chunks.
  6. Iterate: read -> discover new keywords -> search again -> read again.

High-priority large-PDF sections:

PrioritySectionWhy
HighRegister Map / ListAddresses, bit fields, reset values
HighAddress MapBase addresses, memory map
MediumPin Description / GPIOPin functions, function select
MediumElectrical CharacteristicsVoltage/current constraints
MediumClock / TimingTiming formulas, divider rules
LowReset ControllerReset release sequence
LowestLegal / Ordering / RevisionUsually not needed

DOCX / XLSX

  1. Run scripts/search.py first to find candidate paragraphs/rows.
  2. Run scripts/read.py for targeted reading.
  3. Use scripts/read.py --structured when layout/table structure is critical.
  4. If no hits, expand keywords and retry search before full reading.

Quick Commands

Use --structured only when table/header fidelity is required.

SKILL_DIR="skills/datasheet-intelligence"

# 1) Find candidate pages first
uv run --project "$SKILL_DIR" "$SKILL_DIR/scripts/search.py" docs/rp2040.pdf "IC_CON" "I2C0_BASE" --unique-pages

# 2) Read only selected ranges
uv run --project "$SKILL_DIR" "$SKILL_DIR/scripts/read.py" docs/rp2040.pdf --pages 464-470

# 3) Switch to structured mode only if layout fidelity is critical
uv run --project "$SKILL_DIR" --with docling "$SKILL_DIR/scripts/read.py" docs/rp2040.pdf --pages 464-470 --structured

For full flags and format-specific examples, read references/usage.md.

Operational Rules

  1. Start with TOC for PDF workflows.
  2. If bookmarks are missing, switch to search-first flow and avoid full structured TOC for very large PDFs.
  3. Keep explicit project context in every command (uv run --project...).
  4. Read enough neighboring context to avoid missing table headers/footnotes.
  5. Cross-check register values against Address Map / Register List sections.

Output Contract

  1. MUST provide evidence for each critical claim (address, bit position, reset value, formula): source file + page/section.
  2. MUST map important code settings to evidence locations.
  3. MUST mark unverifiable values as unverified.
  4. MUST report table/prose conflicts and separate uncertain items.

Resources

ScriptRoleFormats--structured
scripts/toc.pyTOC extractionPDF, DOCXYes
scripts/read.pyTargeted readingPDF, DOCX, XLSXYes
scripts/search.pyKeyword searchPDF, DOCX, XLSXYes

See usage.md for detailed examples.

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

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

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

Codex

37.68%
按下载量换算72

Claude

29.5%
按下载量换算57

Cursor

21.27%
按下载量换算41

Gemini CLI

9.38%
按下载量换算18

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

未通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills