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Skills IA Entreprise

Découvrez les skills Entreprise, comparez leurs dépôts et consultez leurs instructions.

Catégories: Entreprise

55,153–55,176 sur 81,576

Explorer

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

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

code-assist

carmandale

This sop guides the implementation of code tasks using test-driven development principles, following a structured Explore, Plan, Code, Commit workflow. It balances automation with user collaboration while adher...

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

ralph-code-assist

carmandale

Runs Ralph orchestrator with the code-assist configuration to implement code tasks autonomously. Spawns Ralph as a subprocess that handles the full TDD workflow (Explore, Plan, Code, Commit) for the given code...

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.

GitHub

help

carmandale

Interactive workspace discovery - learn what tools, workflows, agents, and hooks are available

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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