Loading...
Loading...
Found 358 Skills
Use this when you are about to start Discover for an existing project, but you don't know "which portals can be used as evidence (run/test/ci/contract/ops)" and "which modules should be prioritized (P0/P1/P2)", and you are worried that out-of-control scope will lead to unmaintainable results.
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.
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.
Build a pre-implementation harness for ambiguous or risky coding tasks by grounding the request in the repository, producing a structured impact map, surfacing ambiguities and risks, defining scope boundaries, and creating a validation-ready implementation contract before any code changes are made. Use when a task is broad, underspecified, cross-cutting, or likely to drift without an explicit planning checkpoint.
Creates a change proposal with clear intent, defined scope, and technical approach. Trigger: /sdd-propose <change-name>, create proposal, define change scope, sdd proposal.
Risk & Change Management (Devil's Advocate): Identify risks, manage issues, and evaluate change requests. Use this skill to proactively detect threats, assess the impact of changes, and protect the project baseline.
Generate comprehensive service decommission documentation
Configure human-in-the-loop gating for AI agent review actions in Claude Code. Use when setting up a project where an agent may post PR reviews, comments, merges, or edit CI configuration, and you want a cryptographically auditable approval trail with Cedar-enforced gates.
Use when designing, tuning, or auditing revenue forecast models.
Use when you have confirmed the scope of Discover (P0/P1/P2), and now need to quickly build the Level-0 North Star (memory) and Level-1 map layer index skeleton (components/products) under `.aisdlc/project/`, so that you can supplement evidence by module later without double writing and drift.
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.
Enforces complete execution, mode-aware delivery, compact sub-agent communication, independent agent-review gating, validation, and reporting for implementation, bugfix, hardening, documentation, specification, architecture, design, review, and post-mortem tasks. Use whenever work must be completed, reviewed, validated, or documented through an explicit execution mode instead of handled ad hoc.