Skill UI

Orchestrates coding tasks end-to-end from issue intake through implementation, review, deployment, and acceptance verification. Ensures acceptance criteria are proven with evidence before completion, minimizing human re-intervention. Ideal for structured handoffs with explicit stop conditions and escalation protocols.

This skill allows you to delegate bounded coding tasks to the Google Antigravity CLI (agy) while retaining review and landing responsibility. You write the brief, dispatch the task, wait for completion, review the generated diff against gates, and commit the changes yourself. It requires the agy CLI installed and authenticated, suitable for orchestrators managing code generation workflows.

This skill specializes in creating realistic mock services for development, testing, and demonstration purposes. It simulates real API behavior to enable parallel development and facilitate thorough testing. Use it for building mock APIs for frontend or integration testing, simulating partner APIs, creating demo environments, and validating API contracts before backend completion. Avoid using for production systems or security testing.

Client library for Azure OpenAI and OpenAI services in .NET, covering chat completions, embeddings, image generation, audio transcription, and assistants with API key or Entra ID auth.

This skill automates end-to-end coding tasks by enforcing Definition of Done criteria across implementation, testing, review, and deployment. It minimizes user intervention by continuously verifying acceptance criteria and handling feedback loops until evidence confirms completion, ensuring reliable delivery without premature closure.

This skill applies a rigorous, evidence-first discipline to coding tasks, inspired by Fable-like best practices. It guides agents through a structured workflow: inspecting the workspace, tracking goals and findings, grounding all conclusions in verifiable evidence, and executing thorough verification gates before declaring completion. Ideal for complex development, debugging, or adapting cross-model prompt guidance into robust, verifiable project rules.

Displays the current status of a Conductor project, including overall progress, active tracks, task completion, next actions, and potential blockers. Use it to monitor project health and plan next steps.

This skill allows you to delegate bounded coding tasks to the GitHub Copilot CLI while retaining review and landing responsibility. You write a brief, dispatch the task via a relay script, wait for completion, review the generated diff against your requirements, and finally commit the changes. It requires the Copilot CLI installed and authenticated, along with Node.js and Git. This approach ensures human oversight in the coding process, preventing silent failures and maintaining control over code quality.

Delegate bounded coding tasks to the Kimi Code CLI, then review and land the diff yourself. The orchestrator writes a brief, dispatches the headless Kimi implementer, awaits completion, verifies the resulting changes, and commits only after gates pass.

This skill provides sophisticated project estimation by adapting to human-only, hybrid, or agent-first development modes. It uses research-backed PERT statistics and confidence bands (P50, P75, P90) to forecast development timelines for tasks, backlogs, and capacity planning. It continuously calibrates estimates based on actual completion data, ensuring accuracy in AI-assisted and hybrid development environments.

Transforms vague research needs into one precise deep-research prompt with embedded context, numbered sub-questions, constraints, source hierarchy, and completion criteria. Ideal for researchers, analysts, and product teams needing actionable, self-contained research briefs.

Send a text or iMessage to the user's phone when a long-running task, agent turn, or scheduled job completes. Useful for unattended builds, deploys, migrations, and Claude Code stop hooks.