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Found 29 Skills
Manage build artifacts, Docker images, and package registries. Configure artifact repositories, versioning, and distribution strategies.
Use this skill when working with Conductor's context-driven development methodology, managing project context artifacts, or understanding the relationship between product.md, tech-stack.md, and workflow.md files.
Use when specification drift is discovered at any stage and existing Spec Kit artifacts (`spec.md`, `plan.md`, `tasks.md`) must be reconciled in-place without creating a new feature branch.
Creates and manages project artifacts (research, spikes, analysis, plans) using templated scripts. Use when asked to "create an ADR", "research topic", "spike investigation", "implementation plan", or "create analysis". Provides standardized structure, naming conventions, and helper scripts for artifact organization. Works with .claude/artifacts/ directory, Python scripts, and markdown templates.
Create Antigravity-style implementation plans with strict review gates, line-item IDs, and no code changes until the user explicitly says Execute Plan.
Verify AI claims against source documents using the DeepCitation API
Generate a resumable handoff document from an in-progress conversation, review, debugging session, or investigation. Dispatches co-located subagents to extract original instructions and Q&A context, capture evidence-backed insights, optionally validate claims from tracking files, and assemble a cold-start-ready handoff file plus structured working artifacts. Use when the user says "create a handoff doc", "save this for later", "document what we found", "update the resumption file", or wants a fresh agent to resume later without relying on chat history.
Complete Azure DevOps automation - boards, repos, pipelines, artifacts
OpenSpec Spec-Driven Development Assistant - An AI-aided programming framework based on the OPSX workflow. Align requirements with AI before writing code, and manage changes using a Schema-driven artifact dependency system. Trigger Conditions: 1. User mentions "openspec", "opsx", or spec-driven development 2. User wants to start new feature development or refactoring 3. User needs to explore complex problems or clarify requirements 4. User complains about AI misunderstanding or frequent rework 5. User uses slash commands such as /opsx:new, /opsx:ff, /opsx:apply, etc. 6. During project initialization or preparation for major changes
Initializes and maintains architecture artifacts with handoff-first context loading, lazy scoped updates, and compact JSON handoff output for workflow-driven invocations.
Ask Gemini via local CLI and capture a reusable artifact
Implement machine learning experiment tracking using MLflow or Weights & Biases. Configures environment and provides code for logging parameters, metrics, and artifacts. Use when asked to "setup experiment tracking" or "initialize MLflow". Trigger with relevant phrases based on skill purpose.