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3655 results
Analyze Data & AI · Data / AI
Page 85 of 153
SkillHub ClubAnalyze Data & AI

xlsx

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas

C 3.9
Full StackData / AI
7
rank 51
hot 83
SkillHub ClubAnalyze Data & AI

e-tax

This skill should be used when the user wants to file their tax return electronically via the 確定申告書等作成コーナー (NTA Tax Return Preparation Corner) using Claude in Chrome, Antigravity Browser Sub-Agent, or Playwright CLI (fallback). It guides the browser-based input of calculated tax data. Trigger phrases include: "e-Tax提出", "電子申告", "e-Taxで申告", "作成コーナーに入力", "確定申告書等作成コーナー", "作成コーナー", "申告書を提出".

C 3.9
Full StackData / AITesting
319
rank 70
hot 99
SkillHub ClubAnalyze Data & AI

journal

This skill should be used when the user wants to record bookkeeping entries (仕訳), import transaction data from CSV files, receipts, or invoices, or manage their general ledger. Trigger phrases include: "仕訳を入力", "仕訳登録", "CSVを取り込む", "レシートを読み込む", "請求書を取り込む", "帳簿を付ける", "経費を記録", "売上を記録", "仕訳を修正", "仕訳を検索", "仕訳を削除", "取引を登録", "帳簿の初期化".

C 3.9
Full StackData / AI
319
rank 70
hot 99
SkillHub ClubAnalyze Data & AI

document-illustrator

基于文档内容自动生成配图。AI 智能分析文档结构,归纳核心要点, 为每个主题生成符合特定风格的配图。支持封面图生成和自定义图片比例。 使用场景:当用户需要为文档、文章、笔记生成配图时。 关键词:配图、插图、illustration、generate images、document images

C 3.9
Full StackData / AI
290
rank 70
hot 99
SkillHub ClubAnalyze Data & AI

data-analyzer

数据分析工具,使用 pandas 进行数据统计分析。当用户需要对数据进行统计分析、计算均值、求和、描述性统计时使用。

C 3.9
Full StackData / AI
54
rank 61
hot 91
SkillHub ClubAnalyze Data & AI

policyengine-data-testing-skill

Imported from https://github.com/PolicyEngine/policyengine-claude.

C 3.9
Full StackData / AITesting
25
rank 57
hot 88
SkillHub ClubAnalyze Data & AI

julia-scientific

Julia package equivalents for 137 K-Dense-AI scientific skills. Maps Python bioinformatics, chemistry, ML, quantum, and data science packages to native Julia ecosystem.

C 3.9
Full StackData / AI
10
rank 52
hot 84
SkillHub ClubAnalyze Data & AI

multi-ai-consultant

Imported from https://github.com/jackspace/ClaudeSkillz.

C 3.9
Full StackData / AI
10
rank 52
hot 84
SkillHub ClubAnalyze Data & AI

compositional-acset-comparison

Compositional algorithm and data analysis via algebraic databases

C 3.9
Full StackData / AI
10
rank 52
hot 84
SkillHub ClubAnalyze Data & AI

scientific-thinking-scholar-evaluation

Imported from https://github.com/jackspace/ClaudeSkillz.

C 3.9
Full StackData / AI
10
rank 52
hot 84
SkillHub ClubAnalyze Data & AI

bisimulation-game

Bisimulation game for resilient skill dispersal across AI agents with GF(3) conservation and observational bridge types.

C 3.9
Full StackData / AI
10
rank 52
hot 84
SkillHub ClubAnalyze Data & AI

csv-data-summarizer-claude-skill_coffeefuelbump

Imported from https://github.com/jackspace/ClaudeSkillz.

C 3.9
Full StackData / AI
10
rank 52
hot 84
SkillHub ClubAnalyze Data & AI

build

Build features with AI coding tools (Claude Code, Lovable, Replit, Cursor). Use when implementing specs, iterating on AI code, or choosing tools. Focuses on tool selection, effective prompting, and iteration workflows for non-technical founders.

C 3.9
Full StackData / AI
152
rank 66
hot 96
SkillHub ClubAnalyze Data & AI

evaluating-candidates

Make an evidence-based hiring decision and produce a Candidate Evaluation Decision Pack (criteria + scorecard, signal log, work sample/trial plan + rubric, reference check script + summary, decision memo). Use for candidate evaluation, hiring decisions, reference checks, work samples/take-homes, and hiring bar calibration. Category: Hiring & Teams.

C 3.9
Full StackData / AI
35
rank 59
hot 90
SkillHub ClubAnalyze Data & AI

clawtributor

Community incident reporting for AI agents. Contribute to collective security by reporting threats.

C 3.9
Full StackData / AISecurity
794
rank 75
hot 99
SkillHub ClubAnalyze Data & AI

website

Imported from https://github.com/benchflow-ai/SkillsBench.

C 3.9
Full StackData / AI
785
rank 75
hot 99
SkillHub ClubAnalyze Data & AI

examples

Imported from https://github.com/zhukunpenglinyutong/ai-max.

C 3.9
Full StackData / AI
203
rank 68
hot 97
SkillHub ClubAnalyze Data & AI

threejs

Imported from https://github.com/benchflow-ai/SkillsBench.

C 3.9
Full StackData / AI
781
rank 75
hot 99
SkillHub ClubAnalyze Data & AI

python-async

Imported from https://github.com/benchflow-ai/SkillsBench.

C 3.9
Full StackData / AI
781
rank 75
hot 99
SkillHub ClubAnalyze Data & AI

training-data-curation

Guidelines for creating high-quality datasets for LLM post-training (SFT/DPO/RLHF). Use when preparing data for fine-tuning, evaluating data quality, or designing data collection strategies.

C 3.9
Full StackData / AI
146
rank 66
hot 96
SkillHub ClubAnalyze Data & AI

evaluating-llms

Evaluate LLM systems using automated metrics, LLM-as-judge, and benchmarks. Use when testing prompt quality, validating RAG pipelines, measuring safety (hallucinations, bias), or comparing models for production deployment.

C 3.8
Full StackDevOpsData / AI
318
rank 70
hot 99
SkillHub ClubAnalyze Data & AI

managing-secrets

Managing secrets (API keys, database credentials, certificates) with Vault, cloud providers, and Kubernetes. Use when storing sensitive data, rotating credentials, syncing secrets to Kubernetes, implementing dynamic secrets, or scanning code for leaked secrets.

C 3.8
Full StackBackendDevOps
318
rank 70
hot 99
SkillHub ClubAnalyze Data & AI

jira-communication

Jira API operations via Python CLI scripts. AUTOMATICALLY TRIGGER when user mentions Jira URLs (https://jira.*/browse/*, https://*.atlassian.net/browse/*), issue keys (PROJ-123), or asks about Jira issues. Use when Claude needs to: (1) Search issues with JQL queries, (2) Get or update issue details, (3) Create new issues, (4) Transition issue status (e.g., "To Do" → "Done"), (5) Add comments, (6) Log work time (worklogs), (7) List sprints and sprint issues, (8) List boards and board issues, (9) Create or list issue links, (10) Discover available Jira fields, (11) Get user profile information, (12) Download attachments from issues. If authentication fails, offer interactive credential setup via jira-setup.py. Supports both Jira Cloud and Server/Data Center with automatic auth detection.

C 3.8
Full StackBackendData / AI
22
rank 56
hot 88
SkillHub ClubAnalyze Data & AI

templates

This skill provides domain-specific validation templates for six task types, enabling automated quality assessment of outputs by defining critical, important, and optional criteria for consistent, structured evaluation.

C 3.8
Full StackData / AI
14
rank 54
hot 86
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