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Found 269 Skills
Use when you already have a components map and multiple module pages, and now need to converge business modules (products <= 6), fix the entry points for operation, troubleshooting and rollback (ops), and implement DoD access control and incremental Discover (Delta Discover, stale expiration detection) to ensure the knowledge base is usable and maintainable.
Use when you need to turn selected modules (P0 priority first) into single-page module SSOT at the path `.aisdlc/project/components/{module}.md`, and build authoritative entries for API/Data contracts, invariant summaries, evidence entries and structured Evidence Gaps in the same page to meet the DoD gate requirements of Discover.
Repository structure methodology for maximum AI agent effectiveness. Three pillars — context engineering (repo as knowledge product), architectural constraints (deterministic enforcement), garbage collection (active entropy fighting). Use when setting up repos for AI development, diagnosing repeated agent failures, writing AGENTS.md, or designing CI gates and structural tests.
Backlog Grooming Assistant - Auto-activating skill for Enterprise Workflows. Triggers on: backlog grooming assistant, backlog grooming assistant Part of the Enterprise Workflows skill category.
Single Responsibility Principle, ensuring that code files, functions, and modules have clear and single responsibilities. Applicable to all code files.
Use when you need to perform I2 (Implementation Execution) in the Spec Pack of sdlc-dev, implement in batches with `{FEATURE_DIR}/implementation/plan.md` as the only SSOT, run minimal verification, write back audit information, and report at batch checkpoints; stop immediately when encountering blocking or clarification required items.
Technology preference analysis process. When selecting, planning or recommending technical solutions, analyze preferences first before giving suggestions; meanwhile, deposit newly discovered preferences back to this skill.
Comprehensive Azure administration capabilities covering identity management, resource orchestration, CLI tooling, and DevOps automation. Auto-activates for Azure, az cli, azd, Entra ID, RBAC, and infrastructure tasks.
/em -challenge — Pre-Mortem Plan Analysis
Think beyond immediate consequences to second and third-order effects. Use for strategic decisions, policy changes, and avoiding unintended consequences.
Expert knowledge for Azure Databricks development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Unity Catalog, Lakeflow, Lakebase, Delta Sharing, Databricks SQL, or Model Serving workloads, and other Azure Databricks related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure HDInsight (use azure-hdinsight), Azure Machine Learning (use azure-machine-learning), Azure Data Factory (use azure-data-factory).
Define your organization's platform engineering standards by generating a Platform-Engineering-Constitution.md. Use when establishing or updating cloud infrastructure policies, approved tooling, compute platforms, and IaC conventions.