pyfltr-usage

Run code quality tools in parallel and output JSONL reports.

Updated Nov 12, 2017
One-click install
npx skills add https://github.com/ak110/dotfiles --skill pyfltr-usage
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pyfltr-usage
Source: https://github.com/ak110/dotfiles/tree/main/plugins/agent-toolkit/skills/pyfltr-usage
Command: npx skills add https://github.com/ak110/dotfiles --skill pyfltr-usage

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

pyfltr provides a unified orchestration layer that runs multiple quality tools (formatter, linter, tester) in parallel, reducing manual coordination and consolidating results.

Core Features & Use Cases

  • Unified orchestration across languages for code quality checks.
  • Supports subcommands ci, run, fast, and run-for-agent for CI, local dev, and agent-based workflows.
  • JSONL output for structured results and agent consumption.
  • Autofix coordination and diagnostic guidance to streamline fixes.
  • Configurable commands and custom workflows for diverse projects.

Quick Start

Run pyfltr run-for-agent to execute all checks and receive structured JSONL output for agent consumption.

Frequently Asked Questions about pyfltr-usage

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run multiple code quality tools in parallel across different languages?

You can run code quality tools in parallel across languages by using a unified orchestration layer that coordinates formatters, linters, and testers, consolidating their results into a single cohesive quality report.

What is the best way to generate structured JSONL output for agent code consumption?

Generating structured JSONL output for agent consumption is best achieved by running a dedicated agent subcommand, which executes all quality checks and formats the diagnostic results for direct agent processing.

How does autofix orchestration work for formatting and linting?

Autofix orchestration works by coordinating configurable formatter and linter commands, automatically applying fixes across the codebase and providing structured diagnostics to guide any remaining targeted manual fixes.

Can I use configurable commands to customize quality workflows for local development?

Yes, you can use configurable commands to customize quality workflows for local development, utilizing specific subcommands designed to run fast checks and orchestrate fixes during local coding and pre-commit contexts.

When do I need JSONL outputs for CI code quality checks?

You need JSONL outputs for CI code quality checks when automated pipelines or agents must parse structured diagnostic data to evaluate formatting, linting, and testing results without human-readable text parsing.