Create or update Claude skills optimized for Skillmark benchmarks. Use for new skills, skill scripts, references, benchmark optimization, extending Claude's capabilities. Adapted from Anthropic's Apache-2.0 skill-creator skill.
Use when you want a delegated second opinion or implementation from GPT (Codex), Gemini, Grok (xAI), or OpenRouter (config-driven, 400+ models) - eight expert subagents (Architect, Plan Reviewer, Scope Analyst, Code Reviewer, Security Analyst, Researcher, Debugger, Writing Editor) and bundled ask-gpt/ask-gemini/ask-grok/ask-openrouter/ask-all/consensus commands, advisory (read-only) or implementation (write; only Gemini can implement - GPT, Grok, and OpenRouter are advisory-only).
Android/Kotlin expertise. Ships the android-dev agent, android-patterns, and 37 vendored third-party skills (Compose / architecture / Gradle + 16 gplay-* Google Play Console CLI + 6 official Android team skills).
See your agents and follow the work: agent tree, live status, and stage-grouped task flow in a native Claude pane, plus a local Codex session dashboard.
Natural-Language Programming Manager — score, check, fix, and test NL artifacts across Claude Code, Codex CLI, and Antigravity. Tier-aware scoring with per-tool overlays.
Governance kernel for OpenAI Codex CLI: the generated codeArbiter governance surface plus enforcement hooks (persona injection, blocking pre-exec and pre-write gates, append-only audit trail), sharing one .codearbiter/ store with the Claude Code sibling plugin. Standalone: opt a repo in with ca-init; enforcement stays dormant until .codearbiter/CONTEXT.md carries 'arbiter: enabled'. Requires Python 3 and Codex >= 0.143.0. CI continuously verifies, through a real Codex host at 0.143.0 and 0.145.0, that the plugin installs, reads back enabled, and ships every hook script it declares; an advisory lane tracks npm latest for upstream drift. Hook FIRING - live persona injection and live blocks inside a turn - is verified by hand per release against docs/codex-parity-testing.md, because a turn needs a model and a provider credential cannot gate fork pull requests.
Convert agentic repositories into focused ChatGPT/Codex plugins, add host workspace operations, execute available Python verification, then validate, package, and prepare them for submission
Write prompts, system instructions, agent directives, and skill descriptions using two stacked layers: outcome-first (goal, success criteria, stopping condition) plus directional language (every sentence names the path with positive verbs).