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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

code-review-inline

maslennikov-ig

Inline orchestration workflow for code review with Beads integration. Provides comprehensive analysis of issues (bugs) AND improvements (recommendations), issue creation, priority-based fixing, and verification...

GitHub

beads-expert

iamcxa

Expert guidance for Beads (bd) - a Git-backed issue tracker for AI-supervised coding workflows. Use when working with bd CLI commands, MCP tools, hooks, issue tracking, dependencies, workflows, or troubleshooti...

GitHub

deps-health-inline

maslennikov-ig

Inline orchestration workflow for dependency audit and updates with Beads integration. Provides step-by-step phases for dependency-auditor detection, priority-based updates with dependency-updater, and verifica...

GitHub

make-issue

redamoon

Create GitHub issues from ui-skills review results or feature requests.

GitHub

reuse-health-inline

maslennikov-ig

Inline orchestration workflow for code duplication detection and consolidation with Beads integration. Provides step-by-step phases for reuse-hunter detection, priority-based consolidation with reuse-fixer, and...

GitHub

cleanup-health-inline

maslennikov-ig

Inline orchestration workflow for dead code detection and removal with Beads integration. Provides step-by-step phases for dead-code-hunter detection, priority-based cleanup with dead-code-remover, and verifica...

GitHub

sc-diff

randlee

Semantic diffing for .NET source using roslyn-diff. Supports file/folder diffs, HTML reports, and git/PR-aware comparisons (GitHub + Azure DevOps).

GitHub

reviewing-changes

drevantonder

Use this skill to evaluate implementation quality, track technical debt via an append-only log, and generate a fix queue (prd.json) when a change does not meet the specification.

GitHub

commit

carmandale

Create git commits with user approval and no Claude attribution

GitHub

memory

grahama1970

MEMORY FIRST - Query memory BEFORE scanning any codebase. Use when encountering ANY problem, error, or task. Call "recall" FIRST, then scan codebase only if nothing found. Triggers: "check memory", "recall", "h...

GitHub

deslop

parkerhendo

Remove AI-generated code slop from the current branch. Use after writing code to clean up unnecessary comments, defensive checks, and inconsistent style.

GitHub

smart-agent-selection

TGoddessana

Helper logic for automatically selecting appropriate Argonauts reviewers based on files discovered by the Explore agent. Analyzes file characteristics (path, name, extension) to determine optimal reviewer combi...

GitHub

mprocs-expert

iamcxa

Expert guidance for mprocs configuration, multi-process orchestration, and TUI customization. Use when configuring mprocs.yaml, setting up process management, customizing keybindings, styling the interface, tro...

GitHub

implementing-with-ralph-tui

drevantonder

Use this skill to orchestrate autonomous implementation loops with ralph-tui. It guides you through creating a bite-sized, spec-aligned task list (prd.json) and setting up the execution environment.

GitHub

ntm

carmandale

Named Tmux Manager - orchestrate multiple AI coding agents (Claude Code, Codex, Gemini) in tiled tmux panes with visual dashboards, command palette, context rotation, Agent Mail integration, and robot mode for...

GitHub

multi-agent-coordination

tianzecn

Coordinate multiple agents in parallel or sequential workflows. Use when running agents simultaneously, delegating to sub-agents, switching between specialized agents, or managing agent selection. Trigger keywo...

GitHub

mot

carmandale

System health check (MOT) for skills, agents, hooks, and memory

GitHub

startup-status

iamcxa

Comprehensive status report for Startup multi-agent system. Shows bd stats, active tmux sessions, blocked issues, Decision Ledger history, and agent activity.

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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