Delegate a coding task to Aider (aider) as a background implementer, then review its diff and land it yourself. Use this whenever the user wants to hand implementation work to Aider - phrasings like "have Aider do X", "delegate this to aider", "run it through Aider", or "use Aider to implement/fix/refactor" - or wants…
Delegate a coding task to the OpenAI Codex CLI as a background implementer, then review its diff and land it yourself. Use this whenever the user wants to hand implementation work to Codex — phrasings like "have Codex do X", "delegate this to Codex", "run it through Codex", or "use Codex to implement/fix/refactor" …
Delegate a coding task to the Command Code CLI (cmd) as a background implementer, then review its diff and land it yourself. Use this whenever the user wants to hand implementation work to Command Code — phrasings like "have Command Code do X", "delegate this to commandcode", "run it through cmd", or "use Command Code…
Defines practical standards for implementation-focused coding agents. Use when creating or editing code, especially when reliability, clarity, and low-risk delivery are required.
Designs clear, testable prompts for agent workflows. Use when creating new prompts, refining weak prompts, or establishing reusable prompting patterns.
Provides a structured verification workflow for code and prompt outputs. Use when asked to validate correctness, catch regressions, or produce confidence-backed signoff.
Use only when the user explicitly mentions Codex parity, codex-app-parity, Codex.app parity, or asks to compare against the installed Codex desktop app.
Use when the user asks to review GitHub pull requests, identify concrete risks, and write review comments with gh. Focus on actionable findings, not summaries.
Instructions for selectively bringing changes from the upstream nervmor/codexui repository into its fork, using a temporary worktree for the analysis and merge.
A structured hiring-assessment workflow that turns a candidate's résumé and a job description into reviewable evidence, interview questions, and an offline HTML report for interviewers.
Deep need-clarification skill. Use only when the user explicitly invokes $task-clarifier. Once activated, keep asking until all three goals are met: the user fully understands their own needs, the AI fully understands the user's needs, and the user confirms the AI's understanding is correct. Do not intervene in task…
Local user-profile maintenance skill for Codex, Claude Code, OpenClaw, OpenCode, and other agent harnesses. Use only when the user explicitly invokes $user-profile-keeper to create, initialize, update, query, correct, delete, export, or audit a local persistent user profile. It can extract durable collaboration…
Instructions for generating images such as illustrations, posters, avatars, and logos through an OpenAI-compatible image API. It explains how to select a configured image provider and save the result in the project.
Maintain Agent Kanban boards and their linked repositories as an autonomous open-source project maintainer. Use when acting as an AK board maintainer that handles scheduled heartbeat runs, GitHub webhook events, issue triage, pull request review and acceptance, proposal handling, assigned follow-up task creation…
Plan and execute a project through Agent Kanban boards, tasks, dependencies, and workers, delegating review to an active board maintainer when present and retaining leader review otherwise. Use only when the user explicitly asks for AK Plan, Agent Kanban planning, an AK project plan, or project execution through an AK…
Run the Agent Kanban task lifecycle: create, assign, monitor, and either hand review to an active board maintainer or review and finish the task as leader. Use only when the user explicitly asks for AK Task, Agent Kanban, an AK task, or delegation through an AK board. Do not use for ordinary feature implementation…
Demo skill for the meta "decode improves decode" flow — launch decode in a sandboxed clone of the course repo, plan and build one small feature inside the Workspace, let Hand-back push the Session Branch, then open a draft PR against the course repo.
Demo skill that web-fetches two Decoding AI knowledge-graph articles, has the agent itself distill them into a typed entity/relation graph, and renders an interactive dark-themed force-directed KG into one self-contained kg.html — no graph library, no CDN.
Create and manage lifecycle hooks that vixd fires automatically on agent-loop events (a tool about to run, a prompt submitted, a thread starting, a turn finishing). Use when the user wants to enforce a rule, block or rewrite a tool call, validate prompts, auto-format, notify, or react to what the agent does.
Create and manage scheduled jobs (cron tasks, reminders, heartbeat checks, polling watchers) that vixd runs automatically. Use when the user asks to schedule, automate, monitor, watch, or be reminded about something.
Author and edit vix workflows — declarative multi-step pipelines (agent/bash/tool/if/fanout/fanin nodes) stored in config/workflow.json or embedded inline in a job/hook. Use when the user asks to create, modify, or understand a workflow, or to fan work out across many items and join the results.
Use when integrating LLMs, chat clients, embeddings, RAG pipelines, or AI agents into Spring Boot. Covers Spring AI ChatClient, prompt templates, embeddings, vector stores, and structured output. Use when user mentions Spring AI, LLM, ChatGPT, Claude, RAG, embeddings.