xihe
Verified multi-model coding pipelines with checkpointed graph execution
All Skills in This Repository (12)
Pure Emerald Level Indicatorscommit
Automate Git commits with conventional messages and TypeScript checks.
council
Generate multiple design perspectives in parallel and select the best candidate.
verify
Run TypeScript compilation, tests, and builds for JavaScript projects.
handoff
Update the active plan and write a session log.
investigate
Guide systematic debugging through 8 phases to identify root causes.
start
Read next-steps file and git status to brief the current task.
recall
Retrieves past context from the memory layer for proactive decision-making.
skill-creator
Create and improve AI skills with SKILL.md frontmatter and subagents.
review
Conducts code reviews, security audits, and compliance checks on demand.
retro
Analyze git history to generate engineering retrospective reports.
caveman
Compress AI-generated text to reduce token usage by 75%.
dream
Consolidate an agent's raw events into durable memory facts.
Frequently Asked Questions
FAQPage SchemaHow to install xihe (oh-my-dag)?▼
Run `npx skills add AbyssCN/xihe --all -g -y` in your terminal to install all skills in this suite globally.
What problem does oh-my-dag solve?▼
It stops coding agents from claiming work is done without proof. Every task ends only when a real command like your test suite exits with the expected code, and a different model family double-checks subjective results.
Can interrupted runs be resumed?▼
Yes. Every finished node is saved to disk, and the resume skill reloads the plan, skips unchanged nodes, and only re-runs what actually failed.
Does it work with Claude Code and other coding agents?▼
Yes. It runs as an MCP server under your existing agent, and the skills follow the standard SKILL.md format usable in Claude Code and compatible clients.
Can I choose which model runs each step?▼
Yes. You can pin a specific model per pipeline node, mixing cheap models for high-volume steps and stronger models where mistakes are expensive.
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