This skill manages complex workflows involving multiple GitHub Copilot agents working on related issues. It handles sequencing, handoffs, dependency resolution, and progress tracking for coordinated m

Self-corrects skill and command instructions after resolving errors. Use when Claude errors during skill/command execution and finds a solution, or when user indicates a mistake was made. Finds the relevant instruction file and applies succinct fixes.

Operate the Agent Hive Cortex orchestration engine. Use this skill when running Cortex commands, analyzing project dependencies, finding ready work, understanding the orchestration system, or troubleshooting Cortex issues.

Chief Product Officer - assign executive product strategy, organization design, and portfolio decisions

Code Query with AI-enhanced deterministic analysis via SplitMix ternary classification

Implementing Command Query Responsibility Segregation for separating read and write operations in distributed systems.

create-adr-spike

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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.

Story structure, voice development, and narrative craft for AI-assisted writing

Professional skepticism with pattern enforcement. Verify before agreeing, challenge violations, propose instead of asking. Concise output, research before asking, answer questions literally.

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.

首席技术官专家，精通技术架构设计、技术团队管理、技术战略规划、技术选型、研发效能提升和创新技术评估

Customer-facing documentation

Эксперт Customer Journey. Используй для mapping touchpoints, user experience и journey optimization.

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

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.

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

Identify unused code, imports, variables, and functions for safe removal.

End-of-session debrief to capture learnings and keep documentation current.

Facilitate data-driven technical decisions using embedded decision matrices and trade-off analysis. Use when relevant to the task.

Git-powered state awareness - track file changes, session context, decisions, and work history. Query what happened in previous sessions and during current session. Auto-activates for state queries and before duplicating work.

Use after writing-plans to decompose monolithic plan into individual task files and identify tasks that can run in parallel (up to 2 subagents simultaneously)

Deep learning-based variant calling with Google DeepVariant. Provides high accuracy for germline SNPs and indels from Illumina, PacBio, and ONT data. Use when calling variants with DeepVariant deep learning caller.

Delete files from knowledge base with directory governance. Use when user wants to remove or delete content. Reads RULE.md to check deletion permissions and handles dependencies.

Analyze project dependencies for vulnerabilities, updates, and optimization opportunities. Use when auditing dependencies or managing package versions.

Automated dependency management with security scanning, update orchestration, and compatibility validation

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deploy-service

Set up progressive canary deployments on GCP Cloud Run with traffic splitting, monitoring alerts, and automated rollback.

Production deployment principles and decision-making. Safe deployment workflows, rollback strategies, and verification. Teaches thinking, not scripts.

Azure Deployment Stacks GA 2025 features for unified resource management, deny settings, and lifecycle management

**Purpose**: Systematically validate the application is ready for production deployment, catching common "works locally, fails on Render" issues BEFORE they happen.

deployment-verification

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

多方案評估決策框架. Use for: (1) 面臨 3+ 技術方案時的結構化評估, (2) 架構決策時的系統化分析, (3) 防止衝動決策和技術債務累積

Detect empty catch blocks and exception swallowing anti-patterns. Finds catch blocks that silently ignore errors without logging or rethrowing. Works across all languages. Use when user asks about error handling issues.

Browser automation that maintains page state across script executions. Write small, focused scripts to accomplish tasks incrementally. Once you've proven out part of a workflow and there is repeated w

Package and dependency management patterns across ecosystems (npm, pip, cargo, maven). Covers lockfiles, semantic versioning, dependency security scanning, update strategies, monorepo workspaces, transitive dependencies, and avoiding dependency hell.