Agent Skills by code-yeongyu
There are 5 agent skills in our directory.
code-yeongyu publishes 5 AI agent skills in our directory. Browse them below — each links back to its source repository.
Updated June 2026
- industrial-brutalist-uiRaw mechanical interfaces fusing Swiss typographic print with military terminal aesthetics. Rigid grids, extreme type scale contrast, utilitarian color, analog degradation effects. For data-heavy dashboards, portfolios, or editorial sites that need to feel like declassified blueprints.
- jocohuntUse this skill whenever the user asks to inspect JoCoHunt, 조코헌트, jocohunt.jocoding.io products, ideas, rankings, makers, public security headers, or wants a CLI workflow for the Korean builder community. It runs the local `jocohunt` Go CLI, including authenticated product submission when explicitly requested.
- pi-goalPersistent Codex-style goal tracking for pi. Use when the user explicitly asks to set, continue, audit, pause, resume, complete, or inspect a long-running goal.
- teammodeCodex-only team orchestration: run a named team of cooperating Codex threads with durable, script-managed state. MUST USE when the user asks Codex to create, run, coordinate, inspect, archive, or delete a team of threads/sessions, or to work on something as a team in parallel. The main session is always the leader; members are defined by a concrete part, ownership area, or perspective - never a vague job role; a bundled cross-platform script writes the .omo/teams state plus an auto-generated member field manual. Use a team when the work is not perfectly isolated but parallelizing helps, or when a task still needs exploration under a clear goal; use plain subagents when scope is perfectly isolated or the goal is ambiguous. Triggers: team mode, teammode, make a team, run as a team, team of agents, coordinate threads, parallel Codex threads, archive the team, delete the team.
- ultraresearchMaximum-saturation research orchestration: parallel explore+librarian swarms across codebase, web, official docs, and OSS repos; a recursive EXPAND loop driven by leads workers return in message text; empirical verification by running code; cited synthesis and optional MD/HTML/PDF/PPTX reports. ACTIVATES ONLY on an explicit user demand for research — the word 'ultraresearch' ('/ultraresearch', '$ultraresearch') or an explicit request for research / deep research / an ultra-precise investigation, in any language. Never self-activates for ordinary questions, debugging, or implementation context-gathering. While active it overrides exploration-bounding defaults: exhaustive coverage is the goal.