hoyeon
Requirements-driven planning, execution, and verified code delivery
All Skills in This Repository (14)
Pure Emerald Level Indicatorsreference-seek
Locate internal patterns and external open-source references for feature implementation.
init
Scan repositories and generate .dev/config.yml for per-project worktrees.
test-validate
Validate AI outputs for required greeting and current date/time.
ultrawork
Chain specify, open, and execute hooks into an automated development pipeline.
worktree
Manage Git worktrees and per-feature Claude sessions with tmux.
skill-session-analyzer
Analyze Claude Code sessions against SKILL.md specifications and generate structured reports.
state
Manage GitHub PR lifecycle states with labels and the GitHub CLI.
dev-scan
Aggregate developer opinions from Reddit, Hacker News, Dev.to, and Lobsters.
publish
Converts draft GitHub pull requests to Ready for Review state.
compound
Extract PR learnings and generate learning documents using a template.
tech-decision
Automates multi-faceted decision analysis for IT project planning and resource optimization.
execute
Orchestrate PLAN.md workflows by delegating tasks to subagents and verifying results.
Frequently Asked Questions
FAQPage SchemaHow to install hoyeon?โผ
Run `npx skills add team-attention/hoyeon --all -g -y` in your terminal to install all skills globally.
What problem does hoyeon solve?โผ
It turns vague requests like 'add dark mode' into precise, testable requirements through structured interviews, then plans and executes the code with every change traced back to a requirement.
How does the specify to execute pipeline work?โผ
The specify skill interviews you to produce requirements.md, blueprint converts it into a task graph in plan.json, and execute dispatches parallel workers to build and verify each task.
Does hoyeon work with Claude Code and Codex?โผ
Yes. It ships native adapters for both Claude Code and Codex, so the same skills run in either runtime.
Can hoyeon verify code automatically?โผ
Yes. Every sub-requirement is written as a testable behavior, and workers verify their own implementation against it, with optional browser-based QA for full end-to-end checks.
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