Découvrez les skills Entreprise, comparez leurs dépôts et consultez leurs instructions.
Rapidly creates atomic, focused skills optimized with evidence-based prompting, specialist agents, and systematic testing. Each micro-skill does one thing exceptionally well using self-consistency, program-of-t...
The Design System, Theme, and UX rules for the Physical AI Hub.
Use this skill when designing database schemas for relational (SQL) or document (NoSQL) databases. Provides normalization guidelines, indexing strategies, migration patterns, and performance optimization techni...
Assists authors in researching topics, verifying facts, and ensuring accuracy in their writing. Particularly useful for historical fiction, non-fiction, science fiction, and any genre requiring real-world accur...
API specification linting and security validation using Stoplight's Spectral with support for OpenAPI, AsyncAPI, and Arazzo specifications. Validates API definitions against security best practices, OWASP API S...
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...
Lightning-fast quality check using parallel command execution. Runs theater detection, linting, security scan, and basic tests in parallel for instant feedback on code quality.
Enforces local testing before any deployment. MUST be used before running vercel, git push, or any deployment command. Prevents deploying untested code.
日常科研 - Stella建立临时研究站,进行系统的科学观察和实验,享受科学家的日常
Pedantic backend pre-commit and atomic commit Skill for Django/Optimo-style repos. Enforces local AGENTS.md / CLAUDE.md, pre-commit hooks, .security/* helpers, and Monty’s backend engineering taste – with no AI...
This skill should be used when updating the project CHANGELOG, tracking requirement changes, recording design decisions, or documenting version history. Uses git-diff to detect and categorize changes to both co...
Capture solved problems as searchable documentation with pattern detection. This skill auto-triggers when users confirm a fix worked ("that worked", "it's fixed", "working now") or manually via /compound comman...
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, ge...
PR作成Skill。仕様レビュー用または実装レビュー用のPRを作成。/spec や spec-workflow から呼び出される。
Loop 2 of the Three-Loop Integrated Development System. META-SKILL that dynamically compiles Loop 1 plans into agent+skill execution graphs. Queen Coordinator selects optimal agents from 86-agent registry and a...
Automates Tauri WebView debugging using official plugins (tauri-plugin-log + screenshots) with process verification, automated screenshots, console logs, and state analysis. Use when debugging Tauri apps, inves...
Use DigitalOcean MCP and related tools to check deployment health, crash logs, environment consistency, and runtime issues for Unite-Hub / Synthex. Use when diagnosing deployment failures or verifying readiness...
Automated code review with security scanning, quality metrics, and best practices analysis. Use when reviewing code for: (1) Security vulnerabilities and common attack vectors, (2) Code quality issues and maint...
Create and manage Home Assistant YAML configuration files including automations, scripts, templates, blueprints, Lovelace dashboards, and file organization. Use when working with Home Assistant configuration fi...
Test-Driven Development methodology for Node.js/TypeScript projects.
Write TypeScript and JavaScript code following Metabase coding standards and best practices. Use when developing or refactoring TypeScript/JavaScript code.
Converts static web or Next.js projects into ArcBlock blocklets using provided DID. Analyzes project structure, generates configuration files, and validates setup. Requires blocklet DID as parameter.
Engages structured analysis to explore multiple perspectives and context dependencies before responding. Use when users ask confirmation-seeking questions, make leading statements, request binary choices, or wh...
Root cause analysis for debugging. Use when bugs, test failures, or unexpected behavior have non-obvious causes, or after multiple fix attempts have failed.
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.