yishan.io
Official@yishan-io
Offers structured methodologies for software engineering lifecycle management, focusing on test-driven development, systematic debugging, and durable task documentation.
Agent Skills by yishan.io
Showing 13 vetted skills indexed across 1 GitHub repositories.
yishan-iotest-driven-development
Guide code changes through red-green-refactor cycles with test-first principles.
yishan-iosystematic-debugging
Diagnose software defects through evidence-based hypothesis testing and layered validation.
yishan-iobrainstorm
Guide structured dialogue to define problems and compare technical tradeoffs.
yishan-iodispatching-parallel-agents
Coordinate concurrent execution of independent agent tasks by domain.
yishan-iowriting-plans
Generate structured implementation plans for multi-step software development tasks.
yishan-iorequesting-code-review
Structure code review requests with diff ranges and commit SHAs.
yishan-ioreceiving-code-review
Evaluate code review feedback against codebase constraints before implementation.
yishan-iosubagent-driven-development
Coordinate isolated subagents for sequential implementation and review tasks.
yishan-ioexecuting-plans
Execute structured implementation plans with task-level progress tracking and verification steps.
yishan-iostarting-task
Initialize tracked work units with research, planning, and execution phases.
yishan-iocontext-task
Maintain durable task documents for briefs, notes, plans, and outcomes.
yishan-iofinishing-task
Validate completed task outcomes and promote learnings to project memory.
yishan-iocontext-memory
Search and update durable memory files in the .my-context directory.
Frequently Asked Questions About yishan.io
FAQPage SchemaWhat specific engineering tasks does yishan.io enable?▼
Yishan.io enables structured software development by facilitating test-driven cycles, systematic defect diagnosis, and the creation of detailed implementation plans. It supports the entire lifecycle from task initialization and research to final validation and the archival of project learnings into durable memory files.
Which personas benefit most from these engineering methodologies?▼
Software engineers, technical leads, and individual contributors focused on rigorous code quality and maintainable project documentation benefit from these methodologies. It is designed for developers who require evidence-based debugging and structured coordination of complex, multi-step implementation tasks within a codebase.
What are the prerequisites for implementing these task management practices?▼
Implementation requires a codebase that supports modular task tracking and the ability to maintain a .my-context directory for durable memory storage. Users must be prepared to adopt a disciplined approach to red-green-refactor cycles and evidence-based hypothesis testing for all software modifications.