Skill Detail

Run method-guided coding sessions with Loushang

Use Loushang to run recoverable coding-agent sessions with model routing, durable context, tool governance, methods, stages, and traceable delivery artifacts.

Developer ToolsCustom Agents
Developer Tools Custom Agents Security Reviewed
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Uses the third-party skills CLI, not an ASE-owned installer. Check your agent’s compatibility. This copies instructions; complete the upstream tool setup below separately.
At a glance
Tools required
Python, uv, git, configured model providers, and the Loushang CLI.
Install & setup
Clone the repository, create a virtual environment with uv venv .venv, activate it, then run uv pip install -e ".[dev]". Check setup with loushang –help, loushang –list-models, and loushang –list-commands.
Author
zhnt
Publisher
Independent
Last updated
Sep 23, 2026
Quick brief

Use Loushang when an operator wants coding-agent work to follow a structured method instead of an ad hoc prompt thread. Upstream positions loushang code as a CLI and terminal workbench for software development with model routing, persistent sessions, tools, extensions, and method-guided delivery.

How it works

What this skill actually does

The repeatable workflow is concrete: install from source, list configured models and commands, start a session from a repo intent, let Loushang keep the method, roles, stages, tools, session record, and work products as runtime objects, then inspect or resume the delivery record. Invoke it instead of using a model chat or coding agent normally when the work needs recoverable state, explicit method constraints, governed tool use, and auditable acceptance expectations. The scope boundary is method-guided coding sessions and delivery traces, not a generic LLM gateway, Python framework, or model SDK listing.

Inputs and prerequisites: Python, uv, git, configured model providers, and the Loushang CLI..

Setup notes: Clone the repository, create a virtual environment with uv venv .venv , activate it, then run uv pip install -e “.[dev]” . Check setup with loushang –help , loushang –list-models , and loushang –list-commands .

Source and verification boundary: use https://github.com/zhnt/loushang as the canonical reference before running the workflow; keep commands, API calls, CLI usage, and generated outputs reviewable against that upstream source.

Framework fit: publish this as a Custom Agents workflow only when the operator can invoke the documented toolchain directly, rather than treating the upstream project as a generic product listing.