domain cluster

Data & AI

Machine learning, LLMs, and data processing.

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data-analysis
170

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

ImGoodBai
ImGoodBai
data-ai
open
data-engineering
170

arckit-data-model

Create comprehensive data model with entity relationships, GDPR compliance, and data governance

tractorjuice
tractorjuice
data-ai
open
data-engineering
170

arckit-devops

Create DevOps strategy with CI/CD pipelines, IaC, container orchestration, and developer experience

tractorjuice
tractorjuice
data-ai
open
data-engineering
170

arckit-dfd

Generate Yourdon-DeMarco Data Flow Diagrams (DFDs) with structured analysis notation

tractorjuice
tractorjuice
data-ai
open
data-engineering
170

arckit-dld-review

Review Detailed Design (DLD) for implementation readiness

tractorjuice
tractorjuice
data-ai
open
data-engineering
170

arckit-servicenow

Create comprehensive ServiceNow service design with CMDB, SLAs, incident management, and change control

tractorjuice
tractorjuice
data-ai
open
data-engineering
170

arckit-strategy

Synthesise strategic artifacts into executive-level Architecture Strategy document

tractorjuice
tractorjuice
data-ai
open
llm-ai
169

meeting-insights-analyzer

Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication and leadership skills.

PackmindHub
PackmindHub
data-ai
open
llm-ai
169

artefact-logger

Log access to Claude configuration artefacts (CLAUDE.md, rules, skills, commands, agents). This skill should be invoked automatically after reading configuration files to track usage.

PackmindHub
PackmindHub
data-ai
open
data-analysis
169

charts-3d

3D chart visualization with Swift Charts using Chart3D, SurfacePlot, interactive pose control, and surface styling. Use when creating 3D data visualizations.

rshankras
rshankras
data-ai
open
data-engineering
169

offline-queue

Generates an offline operation queue with persistence, automatic retry on connectivity, and conflict resolution. Use when user needs offline-first behavior, queued mutations, or pending operations that sync when back online.

rshankras
rshankras
data-ai
open
data-analysis
168

financial-reporting

Financial reporting workflow covering report preparation, management reporting, board presentations, and investor communications. Delivers polished, accurate reports.

LerianStudio
LerianStudio
data-ai
open
data-analysis
168

financial-analysis

Comprehensive financial analysis workflow covering ratio analysis, trend analysis, benchmarking, and variance analysis. Delivers documented, audit-ready insights.

LerianStudio
LerianStudio
data-ai
open
data-analysis
168

ringexecutive-reporting

Executive communication and reporting skill for creating dashboards, status summaries, and board packages. Focuses on actionable insights for leadership.

LerianStudio
LerianStudio
data-ai
open
data-engineering
168

ring-dev-docker-security

Creates or audits Dockerfiles and Docker image configurations to achieve Docker Hub Health Score grade A. Enforces all evaluable security policies and supply chain best practices.

LerianStudio
LerianStudio
data-ai
open
llm-ai
167

synthesizer

将多个研究智能体的发现综合成连贯、结构化的研究报告。解决矛盾、提取共识、创建统一叙述。当多个研究智能体完成研究、需要将发现组合成统一报告、发现之间存在矛盾时使用此技能。

liangdabiao
liangdabiao
data-ai
open
llm-ai
167

tweet-rl-tracker

Create and manage a Notion-based tweet performance tracking system for "poor man's reinforcement learning"

different-ai
different-ai
data-ai
open
llm-ai
167

question-refiner

将原始研究问题细化为结构化的深度研究任务。通过提问澄清需求,生成符合 OpenAI/Google Deep Research 标准的结构化提示词。当用户提出研究问题、需要帮助定义研究范围、或想要生成结构化研究提示词时使用此技能。

liangdabiao
liangdabiao
data-ai
open
data-engineering
167

tdd

TDD 分级策略 — E 阶段

WenJunDuan
WenJunDuan
data-ai
open
data-engineering
167

tdd

TDD 分级策略 — E 阶段

WenJunDuan
WenJunDuan
data-ai
open
data-engineering
167

smart-archive

Intelligent context archiving for the 1M token era. Replaces strategic-compact. Works with server-side Compaction API. Archives completed RIPER phases to .ai_state/ instead of emergency compression.

WenJunDuan
WenJunDuan
data-ai
open
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