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Data & AI AI Skills

Discover Data & AI skills, compare source repositories and read the instructions for each workflow.

Categories: Data & AI

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GitHub

gh-issues

ainergiz

Create and manage GitHub issues with duplicate detection and hierarchy support. Use when creating issues, filing bugs, tracking tasks, managing sub-issues, or organizing parent/child relationships. Triggers on...

GitHub

content-reviewer

Manav-Aggarwal

Use when reviewing written content (blog posts, marketing copy) for AI-generated patterns and improving prose for natural human voice

GitHub

writing-plans

Jetaofgak

Use when design is complete and you need detailed implementation tasks for engineers with zero codebase context - creates comprehensive implementation plans with exact file paths, complete code examples, and ve...

GitHub

english-lesson-review

nishimao

Analyze English lesson materials and add comprehensive notes including topic summaries and advanced vocabulary (英検2級以上). Use when the user asks to review lesson materials, analyze articles from the lesson,...

GitHub

english-lesson-prep

nishimao

Prepare for English conversation lessons by creating a dated markdown file with greeting examples in English and Japanese. Use when the user asks to prepare for a lesson, set up for English conversation, or cre...

GitHub

gitterflow

JonasTischer

Spawn and coordinate parallel Claude Code sub-agents using git worktrees. Use this skill when you need to parallelize work across multiple independent tasks, delegate subtasks to sub-agents, or orchestrate comp...

GitHub

prd-builder

cch96

产品需求梳理与 PRD 输出。当涉及新产品规划、功能需求讨论、竞品分析、PRD 文档时使用。

GitHub

skill-authoring

cch96

Skill 编写与评价规范。当涉及创建 skill、编写 SKILL.md、优化 skill、评价 skill 质量、skill 评分时使用。

GitHub

vibe-coding

cch96

AI辅助编程规范。当涉及代码组织、架构设计、重构、新功能开发、协作流程、测试、文档时使用。

GitHub

qa-flow

OhadRubin

Present structured multi-choice questions to users via MCP-based QA artifacts. Use when: (1) Need to ask user multiple structured questions, (2) Gathering preferences or requirements through multi-choice option...

GitHub

nix-check

jkingston

Check and validate NixOS configuration. Use when asked to check, validate, lint, or verify the nix config, flake, or configuration files.

GitHub

github-issues

Z1-Test

manage the lifecycle of GitHub Issues, including creation, triage, milestones, search, and sub-issue hierarchy

GitHub

github-kernel

Z1-Test

foundational definitions for GitHub skills, safety rules, tool escalation, and security boundaries

GitHub

feature-specification

Z1-Test

Produces a structured, experience-first feature specification following a docs-first approach. Use when defining or refining a single product feature's lifecycle and outcomes.

GitHub

feature-roadmap-decomposition

Z1-Test

Decomposes a decision-complete PRD into a clear, minimal set of user-meaningful features with explicit dependencies, producing a roadmap-ready structure without prioritization, scheduling, or implementation det...

GitHub

ambiguity-detection

Z1-Test

Detects critical product, scope, data, risk, and success ambiguities in requirements or PRDs and expresses them as structured, decision-forcing clarification questions without proposing solutions or workflow ac...

GitHub

prd-authoring

Z1-Test

Generates a research-grade Product Requirements Document (PRD) defining problems, goals, scope, constraints, and success criteria. Use when creating or updating a PRD for a product or major initiative.

GitHub

save

memoer

Manually saves the current lesson to the lessons directory. Use when auto-save was missed or user wants to explicitly save content.

GitHub

summary

memoer

Provides a recap of recent lessons and key concepts learned. Summarizes main points, connections between topics, and suggests next steps. Use for review sessions or session wrap-up.

GitHub

lessons

memoer

Manages lesson files - list all lessons, show specific lesson, export lessons to single file, or continue from a specific lesson number. Use for navigating and organizing saved lessons.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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