jiozhaoyue
Community@jiozhaoyue
哇，太阳也有深色模式了 那特么是日食
Agent Skills by jiozhaoyue
Showing 14 vetted skills indexed across 1 GitHub repositories.
jiozhaoyuetrellis-spec-bootstrap
Generates project-specific Trellis coding specs from real codebase analysis.
jiozhaoyuetrellis-before-dev
Loads project-specific coding guidelines from .trellis/spec/ before implementation begins.
jiozhaoyuetrellis-brainstorm
Guides requirements discovery and produces PRD, design, and implementation planning artifacts.
jiozhaoyuetrellis-break-loop
Analyzes fixed bugs to identify root causes and capture prevention mechanisms into specs.
jiozhaoyuetrellis-session-insight
Search and extract past AI conversation history via the trellis mem CLI.
jiozhaoyuetrellis-check
Verifies code changes against specs, lint, tests, and cross-layer consistency checklists.
jiozhaoyuetrellis-meta
Guides AI agents in understanding and customizing local Trellis project architecture.
jiozhaoyuetrellis-channel
Coordinate multi-agent collaboration through Trellis channel event logs and spawned workers.
jiozhaoyuetrellis-update-spec
Captures executable contracts and coding conventions into .trellis/spec/ documentation files.
jiozhaoyuetrellis-implement
Implements code changes from Trellis task specs and runs lint, typecheck, and focused tests.
jiozhaoyuetrellis-start
Initializes Trellis development sessions by loading context, tasks, and workflow routing.
jiozhaoyuetrellis-finish-work
Archives completed tasks and records session journals after verifying git working tree state.
jiozhaoyuetrellis-continue
Resumes in-progress Trellis tasks by loading workflow phase context and routing to the correct step.
jiozhaoyuetrellis-research
Searches codebases and external docs, persisting findings to task research directories.
Frequently Asked Questions About jiozhaoyue
FAQPage SchemaWhat tasks can I accomplish with jiozhaoyue's Trellis skills?▼
You can bootstrap .trellis/spec coding guidelines, brainstorm requirements into a PRD, implement features against specs, verify quality with lint/type-check/tests, analyze bug root causes, capture conventions into specs, and query past session history via the trellis mem command.
Who are the Trellis skills designed for?▼
They target developers running AI-assisted coding sessions who want persistent project conventions. trellis-implement and trellis-research run as subagents, while trellis-channel supports engineers coordinating spawned workers, cross-agent review, and forum channels.
How does a typical Trellis session start and end?▼
trellis-start initializes the session by reading guides, git status, and active tasks, then routes to brainstorm, direct edit, or task flow. trellis-finish-work verifies the quality gate, reminds you to commit, archives tasks, and records progress to the developer journal.
What prerequisites and dependencies do the Trellis skills require?▼
Skills expect a project initialized with trellis init producing a .trellis/ directory with specs, agents, and settings. trellis-session-insight requires the trellis mem CLI, trellis-continue uses get_context.py, and trellis-research on Kimi Code uses the .kimi-code/agents/trellis-research.md subagent.
How do Trellis skills prevent repeated bugs and knowledge loss?▼
trellis-break-loop analyzes root cause categories and why prior fixes failed, then captures prevention mechanisms into specs. trellis-update-spec persists executable contracts and conventions learned during debugging into .trellis/spec/ for future sessions.