禾禹科技 (YiBi) avatar

禾禹科技 (YiBi)

Official

@heyu-ai · Taiwan

0Followers
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2Public Repos
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38Published Skills

YiBi provides specialized engineering governance, pull request lifecycle management, and rigorous software quality assurance through structured technical oversight and domain-driven development methodologies.

Skills Distribution
DomainDeveloper To...Pull Request Gover.. (40%)Software Quality A.. (30%)Domain-Driven Design (20%)System Observability (10%)

Agent Skills by 禾禹科技 (YiBi)

Showing 38 vetted skills indexed across 1 GitHub repositories.

heyu-aiheyu-ai

harness-eval

Evaluate Claude Code harnesses across CLAUDE.md, hooks, settings, and skills.

Official
Advanced
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pr_orchestrator

Manage GitHub PR lifecycle with CI/CD checks and state transitions.

Official
Advanced
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local-port-manager

Register, query, and release project-specific local ports to prevent conflicts.

Official
Basic
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claude-md-prune

Organize CLAUDE.md rules into a dedicated directory and remove unnecessary content.

Official
Intermediate
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verify-done

Verify CI status, pull request checks, Spectra Amplifier, and worktree safety before merging.

Official
Advanced
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pr-cycle-deep

Automate PR reviews with multi-agent mob review and cross-model debate.

Official
Advanced
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pr-cycle-fast

Automate pull request lifecycle management with parallel reviews and CI monitoring.

Official
Advanced
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pr-retrospective

Generates structured retrospectives for merged PRs and suggests improvements.

Official
Advanced
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issue-triage

Analyzes GitHub issues and generates prioritized action plans with gh CLI.

Official
Advanced
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pr-review-cycle

Automate GitHub PR review cycles with parallel agents and CI checks.

Official
Advanced
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pr-control-log

Generate a Markdown control log auditing AI behavior and spec deviations in PRs.

Official
Advanced
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mob-code-review-only

Automate external PR code reviews using multi-model collaboration.

Official
Advanced
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bump-version

Automate version bumping, CHANGELOG generation, and Git tagging across project files.

Official
Advanced
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verify-gemini-models

Verify Gemini model availability and functionality via REST and WebSocket calls.

Official
Advanced
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codex

Reviews current branch diffs using OpenAI Codex to identify bugs and security vulnerabilities.

Official
Advanced
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agy

Reviews code and hunts bugs using the Antigravity CLI (agy) with Gemini integration.

Official
Intermediate
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mycelium

Centralize handover of work context between agents, accounts, and devices.

Official
Advanced
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learn

Manage project learnings with search, trimming, and export via Python scripts.

Official
Intermediate
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mycelium-recap

Collect away summaries from Claude Code sessions into a JSONL file.

Official
Basic
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mycelium-handover

Persist work state to SQLite for context handovers across agents.

Official
Advanced
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mycelium-insight

Collect insights from Claude Code sessions and write them to a JSONL file.

Official
Intermediate
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mycelium-debug-report

Generate Markdown debug reports and clean up temporary files after bug resolution.

Official
Intermediate
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qa-test-design

Design structured test cases with coverage analysis using six core testing techniques.

Official
Advanced
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figma-design-sync

Sync Figma design files to openspec change directories using Figma MCP.

Official
Advanced

Frequently Asked Questions About 禾禹科技 (YiBi)

FAQPage Schema
What specific engineering tasks are enabled by these capabilities?

These capabilities enable automated pull request lifecycle management, CI pipeline failure diagnosis, version bumping, and structured test case design. They facilitate rigorous code reviews, bash hygiene auditing, and the generation of detailed technical specifications from user stories using Gherkin syntax.

Which technical personas benefit most from these engineering modules?

Software engineers, DevOps practitioners, and QA leads benefit from these modules. They are designed for teams requiring strict adherence to pull request standards, consistent TDD practices, and centralized context management across distributed development sessions and multi-model collaboration environments.

What are the primary dependencies for implementing these modules?

Implementation requires a GitHub-integrated environment, access to Claude Code for harness evaluation, and local SQLite support for state persistence. Users must also have standard development environments configured for JavaScript, Go, or Python to utilize the CI triage and testing modules effectively.