Arnie016

Build a polished macOS battery utility that shows charge, power source, energy mode, significant energy users, and local drain trends from a menu bar surface.

Turn the current git branch into a crisp review-ready brief with local status, touched areas, changed files, recent commits, and the next PR action.

Create lightweight brand assets and launch metadata for a project. Use when Codex needs to give a repo, product, or skill a simple visual identity with a logo direction, banner ideas, social preview copy, and short positioning text.

Build or operate a macOS menu-bar Chrome tab control surface that lists overloaded browser tabs, groups them by domain or task, and closes explicit selected tab batches with a safe review step.

Identify short-form moments most likely to turn into fandom artifacts, edits, or memes from clips, transcripts, and reaction data, then output a shortlist with reuse angles. Use when Codex needs to find which moments deserve to become repeatable canon.

Build, run, troubleshoot, or refine Context Assembly, especially the bundled `apps/clipboard-studio` macOS menu bar app. Use when Codex needs to work on clipboard-heavy context assembly, keep the panel compact, wire pasteboard or app-state capture, or validate the local Xcode workspace and tests without leaking sensitive data.

Cluster obsession points, recurring questions, sentiment shifts, and backlash signals across audience chatter to produce a pulse digest. Use when Codex needs a timely view of what a personal-brand audience is amplifying, asking for, or turning against.

Turn a project or product idea into a compact set of launch-ready copy. Use when Codex needs to generate practical messaging such as a tagline, README blurb, changelog summary, tweet or thread copy, release notes, or listing text from a single source idea.

Create, choose, adapt, and validate reusable Codex prompt templates that orchestrate skills, plugins, files, tools, and safety gates. Use when the user asks for massive prompts, prompt templates, reusable Codex prompts, plugin-orchestration prompts, marketplace prompt packs, or turning a prompt into a skill. Triggers: prompt template, reusable prompt, massive prompt, plugin stack prompt, prompt pack, turn this prompt into a skill. Skip when the user only needs a one-off short prompt with no reusable structure.

Route Codex work to the right supercharged workflow. Use when the user asks to improve their Codex setup, choose among skills, combine GitHub repos/MCP servers, reduce tokens, build agent workflows, or decide which local supercharge skill to invoke next. Use the boundary rules here when requests mention agents, evals, costs, guardrails, MCP, daemon/status workflows, or safety.

Detect drift between the Codex Supercharge plugin pack and installed copies under `$HOME/.codex/skills`, including copied `SKILL.md`, `references/`, and `scripts/` payloads. Use when behavior differs across machines/sessions or after editing plugin skills, references, or helper scripts without reinstalling.

Verify current GitHub and agent-skill ecosystem evidence before using trend, popularity, star, topic, or public-discoverability claims in Codex skill and plugin work. Use when an automation asks for trend evidence, GitHub discovery, repo stars/forks/activity, launch topics, marketplace positioning, or latest agent-skill/MCP ecosystem claims. Skip when the task only needs local source synthesis or a single trusted repo brief.

Add lightweight local observability to Codex/agent workflows. Use when tracking local runs, traces, evals, cost, token usage, cache efficiency, model comparisons, failure rates, or claudetop-style monitoring. Skip when designing production gateway policy, staged guardrails, shadow traffic, model budgets, or trace-to-regression loops; use `$auto-skill-build-agent-reliability-loop`.

Run closed-loop evaluators for Codex Supercharge artifacts and write feedback state for future Codex sessions, subagents, and automations. Use after creating, editing, reviewing, grading, or validating Codex Supercharge skills, references, scripts, metadata, or public docs. Triggers: grade Supercharge edits, closed-loop feedback, evaluator handoff, subagent status, automation feedback. Skip when the task is a one-off repo edit outside Codex Supercharge.

Run a deterministic Codex Supercharge maintenance pass (skill audit, plugin discovery audit, helper smoke checks, quick validation, optional install sync plus installed-payload drift verification). Triggers: maintenance pass, validate skills, run skill audit, validate helper scripts, resync installed skills. Skip when you are not changing Codex Supercharge skills/scripts.

Create or use lightweight persistent project memory for Codex. Use when the user wants Codex to remember decisions, naming, architecture rules, progress, experiment results, or prior debugging across sessions. Also use with memsearch-style markdown memory.

Compiles a vague project idea into agent-ready work - a sprint spec, a contract of testable assertions, and an ordered task list with acceptance criteria. Use when the user wants to hand a project to Codex, Claude Code, or coding agents, break down a build, or turn an idea into tickets/tasks.

Creates a new Claude Skill to fable-mythos standard - a tight SKILL.md plus eval cases and an example. Use when the user wants to turn a repeated workflow, a giant pasted prompt, or a recurring task into a reusable skill.

Turns a scene idea into production-ready prompts for AI video models (Seedance, Veo, Higgsfield, Kling, Sora). Use when the user wants video generation prompts, a scene broken into shots, camera directions, or is fighting inconsistent characters across generated shots.

Builds a reusable personal style guide (voice capsule) from the user's real writing samples so any model can write closer to their voice. Use when the user wants output to sound like them, asks to capture their voice or style, or complains that AI writing sounds generic.

Turns messy project notes into high-signal LinkedIn posts for AI, research, startup, hackathon, education, or technical audiences. Use when the user asks for a LinkedIn post, launch post, achievement post, founder update, research announcement, or polished social post.

Repairs a Claude Skill after a bad output by identifying the exact failure, patching SKILL.md, and adding a regression test. Use when a skill output is generic, wrong, overhyped, off-format, or fails the user's expectations.