Skill UI

Orchestrator skill that hands a bounded coding task to the OpenAI Codex CLI, then independently reviews the diff, re-runs project gates and lands the change itself.

This skill enables launching OpenAI's Codex CLI as an isolated subagent for bounded coding, review, or verification tasks. It runs non-interactively in a sandbox, streaming progress while keeping context separate. Ideal for parallel work, independent verification, and self-contained coding tasks with clear success criteria. Users must ensure authentication and handle file ownership explicitly.

Configure a Rails project to run inside Conductor workspaces for parallel coding agents: creates conductor.json, bin/conductor-setup, and script/server scaffolding, links shared dev secrets, and updates Redis config to use REDIS_URL with isolated ports and namespaces.

This skill acts as a context agent ensuring continuity between AI coding sessions. It automatically saves session summaries, decisions, and pending tasks to local storage and MEMORY.md. Upon starting a new session, it loads a detailed briefing to restore context. Features include full-text search, archiving, and maintenance tools for managing long-term project memory within the Claude Code environment.

A context preservation tool that creates snapshots and verifies data integrity before automatic context compression in AI coding assistants. Prevents information loss during context window management, protecting complex technical projects from critical data loss when Claude Code compresses conversation history.

Provides comprehensive C# development guidelines covering LINQ, null handling, async/await, records, error handling, and resource management. Promotes idiomatic, efficient, and secure coding patterns while avoiding common anti-patterns for better code quality.

Delegates coding and analysis tasks from Claude Code to OpenAI Codex CLI or Google Antigravity CLI, maintains topic-aware sessions, and critiques returned results.

Maintain durable feature-level memory across AI coding sessions using lightweight Markdown tracks. It organizes status, source-of-truth docs, decisions, risks, and changes for long-lived features. Helps AI agents resume work accurately without relying on chat history. Ideal for repositories needing structured project memory without reorganizing all documentation.

Maps, explains, and lints repository-scoped coding-agent instruction files such as AGENTS.md, CLAUDE.md, Copilot and Cursor rules. Run local read-only scans to inventory instructions, audit recursive imports, and export JSON or SARIF diagnostics before changing code.

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.

A comprehensive index of 46 production-grade test automation skills, covering E2E, unit, mobile, BDD, and cloud testing across 15+ languages. This skill equips AI coding assistants to act as senior QA architects, generating structured, real-world test code for major frameworks like Playwright, Selenium, Cypress, and Jest. It supports project setup, CI/CD integration, and cross-platform debugging.

This skill provides methods for reliably extracting typed, validated, and structured data from Large Language Models (LLMs), moving beyond simple text parsing. It covers best practices across major APIs (OpenAI's response_format, Anthropic's tool_use, Google's responseSchema) and local models. Key workflows include defining schemas (Pydantic/Zod), implementing constrained decoding, and building robust retry loops for production-grade data pipelines.