apps-script-search

Google Apps Script を検索する。「Apps Script 検索」「GAS 検索」「スクリプト検索」「Apps Script を探して」「GAS を見つけたい」「Google スクリプト検索」「Apps Script の検索」などで起動。`/shiiman-google:apps-script-search` を実行して検索する。

16 stars

Best use case

apps-script-search is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Google Apps Script を検索する。「Apps Script 検索」「GAS 検索」「スクリプト検索」「Apps Script を探して」「GAS を見つけたい」「Google スクリプト検索」「Apps Script の検索」などで起動。`/shiiman-google:apps-script-search` を実行して検索する。

Teams using apps-script-search should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/apps-script-search/SKILL.md --create-dirs "https://raw.githubusercontent.com/diegosouzapw/awesome-omni-skill/main/skills/cli-automation/apps-script-search/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/apps-script-search/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How apps-script-search Compares

Feature / Agentapps-script-searchStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Google Apps Script を検索する。「Apps Script 検索」「GAS 検索」「スクリプト検索」「Apps Script を探して」「GAS を見つけたい」「Google スクリプト検索」「Apps Script の検索」などで起動。`/shiiman-google:apps-script-search` を実行して検索する。

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Apps Script Search

Google Apps Script を検索します。

## ワークフロー

### 1. コマンド実行

`/shiiman-google:apps-script-search` を SlashCommand ツールで実行(実装は Commands に委譲)。

## コマンド連携

実際の処理は `/shiiman-google:apps-script-search` に委譲します(SSOT として扱う)。

Related Skills

gpt-researcher

16
from diegosouzapw/awesome-omni-skill

Run GPT-Researcher multi-agent deep research framework locally using OpenAI GPT-5.2. Replaces ChatGPT Deep Research with local control. Researches 100+ sources in parallel, provides comprehensive citations. Use for Phase 3 industry/technical research or comprehensive synthesis. Takes 6-20 min depending on report type. Supports multiple LLM providers.

deep-research

16
from diegosouzapw/awesome-omni-skill

Web research with Graph-of-Thoughts for fast-changing topics. Use when user requests research, analysis, investigation, or comparison requiring current information. Features hypothesis testing, source triangulation, claim verification, Red Team, self-critique, and gap analysis. Supports Quick/Standard/Deep/Exhaustive tiers. Creative Mode for cross-industry innovation.

brutal-deepresearch

16
from diegosouzapw/awesome-omni-skill

Structured deep research pipeline with confirmation gates and resume support. Generates outline, launches parallel research agents, produces validated JSON results and markdown report.

bio-spatial-transcriptomics-spatial-domains

16
from diegosouzapw/awesome-omni-skill

Identify spatial domains and tissue regions in spatial transcriptomics data using Squidpy and Scanpy. Cluster spots considering both expression and spatial context to define anatomical regions. Use when identifying tissue domains or spatial regions.

agent-market-researcher

16
from diegosouzapw/awesome-omni-skill

Expert market researcher specializing in market analysis, consumer insights, and competitive intelligence. Masters market sizing, segmentation, and trend analysis with focus on identifying opportunities and informing strategic business decisions.

agent-data-researcher

16
from diegosouzapw/awesome-omni-skill

Expert data researcher specializing in discovering, collecting, and analyzing diverse data sources. Masters data mining, statistical analysis, and pattern recognition with focus on extracting meaningful insights from complex datasets to support evidence-based decisions.

agency-researcher

16
from diegosouzapw/awesome-omni-skill

Find and qualify real estate agencies in a given suburb

add-search-engine

16
from diegosouzapw/awesome-omni-skill

Integrate a new LLM search provider into Mentha

Add prerequisite install script for Python deps (self-contained skill)

16
from diegosouzapw/awesome-omni-skill

No description provided.

academic-search

16
from diegosouzapw/awesome-omni-skill

Search academic paper repositories (arXiv, Semantic Scholar) for scholarly articles in physics, mathematics, computer science, quantitative biology, AI/ML, and related fields

academic-benchmark-researcher

16
from diegosouzapw/awesome-omni-skill

When the user requests information about academic benchmarks, datasets, or research papers, particularly in machine learning, deep learning, or logical reasoning domains. This skill enables systematic research of academic benchmarks by searching web sources, downloading and analyzing arXiv papers, extracting key metadata (number of tasks, training availability, difficulty levels), and compiling comparative summaries. It triggers on requests involving dataset comparisons, benchmark analysis, or academic paper research for table creation.

whisper-transcription

16
from diegosouzapw/awesome-omni-skill

Transcribe audio and video files to text using OpenAI Whisper. Use when: converting podcasts to blog posts; creating video subtitles; extracting quotes from interviews; repurposing video content to text; building searchable audio archives