Adversarial quality gate agent for code review - finds flaws before users do
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →Adversarial quality gate agent for code review - finds flaws before users do
Product management expertise for story creation, backlog management, validation, and release coordination
Security audits, vulnerability analysis, and security best practices enforcement
Patterns for Atlas database schema management covering HCL/SQL schema definitions, versioned and declarative migrations, linting analyzers, testing, and project configuration. Use when working with atlas.hcl, .hcl schema files, Atlas CLI commands, or database migrations.
Full 9-phase workflow for complex features, epics, and security-critical changes (2-4 hours)
Iterative 3-phase workflow with peer review cycle for changes needing validation (15-30 min)
Orchestrates Atlas workflow tier selection for software development tasks
Quick 2-phase workflow for trivial changes - typos, colors, config updates (5-15 min)
Standard 5-phase workflow for most development tasks - bugs, small features, refactors (30-60 min)
Use the bundled CLI to control Atlas and inspect local browser data.
atlas14-spatial-variance
Atlassian API integration for Jira and Confluence automation. Activate for Atlassian REST APIs, webhooks, and platform integration.
Attach documents, screenshots, PDFs, and files to Jira issues and Confluence pages via REST API. Use when uploading evidence, documentation, or media to Atlassian products.
Execute Jira operations including issue retrieval, creation, updates, search, and project management. Use when the user needs to interact with Jira issues, projects, boards, or perform any Jira-related tasks.
Use when querying Jira issues, searching Confluence pages, creating tickets, updating documentation, or integrating Atlassian tools via MCP protocol.
Use the Atlassian MCP Server to interact with JIRA from coding agents (Cursor, Claude Code). This skill documents how to use the official Atlassian MCP server for JIRA and Confluence operations. Enable this MCP server in your Cursor/Claude Code settings for JIRA access.
Search and retrieve information from Jira and Confluence using the atlassian-cli tool. Use this skill to find issues, search documentation, manage projects, and track sprints in Atlassian products.
Execute Atlassian operations for both Jira and Confluence, including issue management, page retrieval, search, creation, and updates. Use when the user needs to interact with Jira issues, Confluence pages, or any Atlassian-related tasks.
Interact with Jira and Confluence via REST API - search, create, update issues and pages
Create atomic commits grouped by logical features with README.md and CLAUDE.md awareness.
Créer des composants React **maximalement décomposés** suivant l'**Atomic Design** et le pattern **Smart/Dumb** pour une **réutilisabilité** et **maintenabilité** maximales.
Create atomic components (atoms) - the fundamental building blocks of your UI with proper TypeScript interfaces and Tailwind v4 styling.
Context providers dynamically inject information into agent system prompts at runtime. They enable agents to access current data without modifying the base prompt.
Use when applying Atomic Design methodology to organize UI components into quarks, atoms, molecules, organisms, templates, and pages. Core principles and hierarchy.
Use when creating page layouts without real content. Templates define the skeletal structure of pages using organisms, molecules, and atoms.
The `SystemPromptGenerator` creates structured, effective system prompts for agents. It combines static instructions with dynamic context from providers.
Schemas are the foundation of Atomic Agents applications. They define the contracts between agents, tools, and external systems using Pydantic models.
Proper project organization is essential for maintainable Atomic Agents applications. Structure scales from simple scripts to complex multi-agent systems.
Tools extend agent capabilities by providing access to external services, APIs, databases, and computations. They follow a consistent pattern with input/output schemas and error handling.
Knowledge about attempt tracking and gating patterns for task execution
Universal coding standards and best practices for TypeScript, JavaScript, React, and Node.js. Use when: writing code, reviewing code quality, establishing conventions. Focuses on modern patterns, explicit conventions, and rationale for best practices.
Provides universal workflow patterns and best practices for using the Attio MCP server. Complements the attio-workspace-schema skill with HOW-TO guidance for MCP tools and error prevention.
Generate use-case-specific Attio workflow skills from templates. Use when creating new skills for lead qualification, deal management, customer onboarding, or custom Attio workflows.
Establish cause-effect relationships between events or states. Use when analyzing root causes, mapping dependencies, tracing effects, or building causal models.
Use to define measurement, data sharing, and ROI reporting for joint
Segment audiences for targeted marketing and personalized messaging
Synthesize audience insights from multiple data sources into unified personas and segments. Use when relevant to the task.
Crée la question ouverte finale et transmet la réflexion au public pour l'Acte VII d'un épisode NEW TEMPS X. Utilise ce Skill quand tu dois créer une conclusion qui ouvre une réflexion, poser une question profonde non résolue, ou transmettre une interrogation au public de manière subtile et engageante.
FFmpeg audio processing, batch editing, normalization, mixing, and automated audio production workflows. Use when processing audio at scale, automating editing tasks, or building audio pipelines.
Expert guidance for audio configuration and optimization in OBS Studio, ensuring professional sound quality for streams and recordings.
Test Bob The Skull with virtual audio injection instead of speaking. Use when testing wake word detection, STT accuracy, full conversation pipeline, or automated testing. Covers setup, configuration, injection methods, and troubleshooting.
You are the on-device audio ML specialist for Modcaster's AI-driven audio processing.
Audio playback using Tone.js including players, transport, scheduling, and loading audio. Use when implementing background music, sound effects, audio synchronization, or timed audio events. Essential for any audio-enabled web application.
Binding audio analysis data to visual parameters including smoothing, beat detection responses, and frequency-to-visual mappings. Use when creating audio visualizers, music-reactive animations, or any visual effect driven by audio input.
Implements audio systems including sound management, music systems, positional audio, and audio effects. Use when adding sound effects, music, ambient audio, or any audio features to a game.
Extracts audio from dashcam MP4 files and produces GPU-accelerated timestamped transcripts with optional speaker diarization. This skill should be used when users request audio transcription from video files, mention dashcam audio/transcribe MP4/extract speech, want to analyze conversations from video footage, need timestamped transcripts with speaker identification, or ask to process video folders with audio extraction.
Visualize audio frequency/time-domain data synchronized with React updates.
Aggregate and deduplicate findings from multiple audit reports