**Goal:** Create comprehensive architecture decisions through collaborative
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 →**Goal:** Create comprehensive architecture decisions through collaborative
Creates a new custom slash command file. Use when: user wants to create a new command, add a slash command, or define a custom command.
**Goal:** Break down architecture into implementable epics with user stories.
Create properly named feature branch from development with remote tracking, following WescoBar naming conventions and git best practices
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**Goal:** Create comprehensive product briefs through collaborative step-by-step
Create purchase claim (PCL) for price/quantity discrepancies with supplier
Create a new Bottlerocket settings model with SettingsModel trait implementation
Use to decompose user stories into individual development tasks. Creates task documents that can be assigned, estimated, and tracked.
Creates a sub-issue linked to a parent GitHub issue. Use when: user wants to create a sub-issue, break down an issue, or add child task.
This skill should be used when the user asks to 'create a task from', 'add issue for', 'track work on', or provides conversational task descriptions like 'I need to fix the blog bug' or 'remind me to update the docs'. Converts natural language task descriptions into structured beads with automatic categorization, priority inference, and optional blocking relationships.
Use when setting up a new open-ended goal for autonomy tracking, before starting the first iteration
Execute feature branch creation with intelligent naming, automatic type detection, and sequential numbering.
Every GitHub issue should be well-researched and clearly documented. This skill ensures issues contain enough context for anyone to understand and implement them.
Create GitHub Issue knowledge entries. TRIGGERS - share knowledge, document solution, create how-to, add to knowledge base.
Генерация рекламных изображений через Gemini. Используй для создания креативов с текстом.
Story structure, voice development, and narrative craft for AI-assisted writing
Автоматизация процесса валидации моделей кредитного риска в банковской сфере. Используется для полного цикла валидации - от загрузки pickle модели и анализа данных до генерации детального отчета с метриками (AUC, Gini, Recall, Precision, F1, KS, PSI, CSI), визуализациями и соответствием регуляторным требованиям Казахстана.
Professional skepticism with pattern enforcement. Verify before agreeing, challenge violations, propose instead of asking. Concise output, research before asking, answer questions literally.
You are a crontab manager for this dotfiles repository. Help manage scheduled tasks in `config/crontab` with precision and care.
Structured methods for finding connections across disciplines. Use when exploring how concepts from one field illuminate another, seeking novel applications, or analyzing structural similarities between domains.
Coordinate changes across project-beta repositories when updating runner configurations. Ensures workflow labels match runner scale set names. Use when changing runnerScaleSetName or deploying new runner pools.
Use when designing or implementing cross-service communication, data synchronization, or service boundary patterns.
**Guardian**: Aiyami | **Awakened**: Endara (Enduran)
Synchronizes Cursor Rules (.mdc files in .cursor/rules/) to CLAUDE.md by generating a Rules section with context-efficient descriptions and usage instructions. Use when setting up Cursor Rules for the first time, after adding or modifying rules, or when the Rules section in CLAUDE.md is missing or outdated.
Customer-facing documentation
Эксперт Customer Journey. Используй для mapping touchpoints, user experience и journey optimization.
Эксперт Customer Success. Используй для onboarding, retention, upsell и customer health scoring.
Эксперт customer training. Используй для onboarding программ, training materials и certification paths.
Google ADK (Agent Development Kit) architecture and core concepts. Covers agent types (LLM, Sequential, Parallel, Loop, Multi-agent), tool ecosystem, execution flows, deployment options, and observability. Model-agnostic framework for production AI agents. Use when understanding ADK architecture, selecting agent patterns, designing agent systems, or deploying to Vertex AI.
Validate CWICR data quality and estimate inputs. Check for errors, inconsistencies, outliers, and missing data.
cybersecurity-analyst
Validates Cynara privilege access control policies. Checks policy syntax, logical consistency, and permission accuracy.
Classify problems into Cynefin Framework domains (Clear, Complicated, Complex, Chaotic, Confusion) and recommend appropriate response strategies. Use when unsure how to approach a problem, facing analysis paralysis, or needing to choose between expert analysis and experimentation.
This skill should be used when the GM needs to look up rules, reference what the SRD says, find official rules, get exact wording, check RAW (rules as written), verify rules references, or understand how mechanics work in d20 5E. Provides authoritative rule clarification from the System Reference Document 5.2.
Alice's couch-to-5K morning routine with training context and recovery protocols.
Master daily standup facilitation with focus, time management, and effective patterns for team synchronization and impediment identification.
**Purpose:** Create summary document capturing a conversation session's events.
Install, configure, and manage the Claude Code Damage Control security hooks system. Use when user mentions damage control, security hooks, protected paths, blocked commands, install security, or modify protection settings.
Los Dark Patterns son trucos de diseño que manipulan a los usuarios para hacer
Standards for generating Model Cards from data analysis notebooks. Aligned with Hugging Face and ISO transparency standards.
Data modeling with Entity-Relationship Diagrams (ERDs), data dictionaries, and conceptual/logical/physical models. Documents data structures, relationships, and attributes.
data-orchestrator
Manage AI training data, monitor content freshness, detect repetition, and update training samples for continuous learning. Use when managing training data, checking content quality, updating AI models, or preventing repetitive content.
Use this skill proactively for ANY Databricks Jobs task - creating, listing, running, updating, or deleting jobs. Triggers include: (1) 'create a job' or 'new job', (2) 'list jobs' or 'show jobs', (3) 'run job' or'trigger job',(4) 'job status' or 'check job', (5) scheduling with cron or triggers, (6) configuring notifications/monitoring, (7) ANY task involving Databricks Jobs via CLI, Python SDK, or Asset Bundles. ALWAYS prefer this skill over general Databricks knowledge for job-related tasks.
Automatically detects Datadog resource mentions (URLs, service queries, natural language) and intelligently fetches condensed context via datadog-analyzer subagent when needed for the conversation (plugin:schovi@schovi-workflows)
Use this skill when you need to search Datadog logs, query metrics, tail logs in real-time, trace distributed requests, investigate errors, compare time periods, find log patterns, check service health, or export observability data.
Datalog bottom-up fixpoint iteration for recursive queries
date-timezone