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Found 269 Skills
Agent skill for queen-coordinator - invoke with $agent-queen-coordinator
Use this skill when the user wants to add or update metadata in DataHub: descriptions, tags, glossary terms, ownership, deprecation, domains, data products, structured properties, documents, or field-level metadata. Triggers on: "add tag to X", "update description for X", "set owner of X", "add glossary term", "deprecate X", "create a domain", "create a glossary term", "add a document", or any request to modify DataHub metadata.
R&D management expertise for R&D portfolio management, technology roadmapping, research methodology, patent strategy, lab management, academic partnerships, and regulatory pathways. Use when managing research programs, planning technology roadmaps, or building patent portfolios.
Conduct stakeholder analysis using identification, Power-Interest matrix classification, and influence strategy development. Use this skill when the user needs to map stakeholders for a project, manage conflicting interests, prioritize communication, or build a stakeholder engagement plan — even if they say 'who needs to approve this', 'how do I get buy-in', or 'who might block this project'.
Phase 1 of the Issue Workflow - Translate the user's problem into a reproducible, traceable {slug}-report.md through conversation. The AI only asks "what you saw, how to reproduce it, what should happen" here, and does not guess the root cause for the user (that's Phase 2's responsibility). This phase is also the only official decision point for determining whether to take the fast track or the standard path: first read the relevant code based on the user's description, and if the root cause can be identified at a glance and the changes required are minor, directly inform the user to take the fast track. Trigger scenarios: The user says "file an issue", "log this bug", "I found a problem". This is the starting point of the issue workflow with no pre-requisites.
Use when initializing, bootstrapping, creating, or scaffolding the minimum docs-driven workflow layout for a repository before roadmap planning, specs, or implementation tasks exist.
Use when a request or repository needs roadmap decomposition before spec writing because milestone boundaries, module grouping, or independently reviewable tasks are unclear.
Use when OpenSpec artifacts have been generated by /opsx:propose and need review before implementation begins — validates proposal scope, spec completeness, design decisions, and task executability
Watch for the 11 known AI-coding-agent failure modes (fabrication, scope_creep, security_vulnerability, etc.) — consult this skill before edits, dependency adds, completion claims, or anything that could trip a known supervision concern. Quote the snake_case failure-mode ids verbatim when flagging risks.
Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms. Use PROACTIVELY for data pipeline design, analytics infrastructure, or modern data stack implementation.
Enterprise-grade architecture combining DDD bounded contexts with Feature-Sliced Design. Use for large-scale monorepos with multiple domains, microservices, event-driven communication, and scalable frontend modules.
Use to run day-to-day loyalty reward catalog management and fulfillment.