pynchy-development
SolidUse when running pynchy locally — running the app, tests, linting, formatting, prek hooks, or rebuilding the agent container. Also use when determining whether you're on the live Pynchy host or a local machine, and for debugging agent behavior-- session transcript branching, inspecting message history and agent traces in SQLite, pytest hangs, or diagnosing known codebase issues.
Install
Quality Score: 79/100
Skill Content
Details
- Author
- crypdick
- Repository
- crypdick/pynchy
- Created
- 5 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
pynchy-ops
Use when managing the pynchy service on the server — deploying changes, observing logs, checking service status, restarting the service, setting up GitHub auth, rebuilding the agent container, or running commands on the live Pynchy host. Also use when interacting with the LiteLLM proxy — investigating failed requests, model routing errors, spend tracking, health checks, API gateway diagnostics, or modifying the LiteLLM configuration. Also use when the user mentions the LiteLLM UI, dashboard, proxy errors, or model availability.
pynchy-plugin-authoring
Use when creating, scaffolding, or updating a pynchy plugin, including channels, MCP servers, skills, agent cores, workspace specs, and container runtime plugins. Also use when users ask how to register plugins via config.toml, add entry points, or validate plugin hook wiring.
tool-uv
Use uv for fast Python dependency sync, environment management, and command execution. Trigger for Python setup, install, lint, test, and script workflows in this repo.