Lint Myna skills and run Review/Fix/Verify cycles.
npx skills add https://github.com/agentflock/myna --skill myna-dev-improve
Please help me install this Agent Skill. Skill: myna-dev-improve Source: https://github.com/agentflock/myna/tree/main/.claude/skills/myna-dev-improve Command: npx skills add https://github.com/agentflock/myna --skill myna-dev-improve
Coordinating end-to-end quality assurance across many skills can be time-consuming and error-prone. This skill automates linting and orchestrates iterative Review/Fix/Verify cycles to identify and resolve issues systematically.
Invoke the skill with a cycle limit to start linting, reviewing, fixing, and verifying your skills.
High-intent search queries and answers about installing and using this skill.
You can automate QA by running linting followed by iterative Review, Fix, and Verify cycles. This skill orchestrates that workflow across multi-skill projects, blocking progress until lint issues are resolved and reporting per cycle.
The best way is to orchestrate iterative Review, Fix, and Verify cycles with automated oscillation guards and pacing rules. This prevents thrashing and ensures stable progress with centralized logs and per-cycle reporting.
Yes, you need a Bash environment to run Myna quality cycles. The skill requires Bash specifically because it executes the scripts/lint-agents.sh script to perform automated linting tasks across the targeted skill set.
Yes, you can configure cycle limits and scope for multi-skill project QA. The skill centralizes control via frontmatter, allowing you to set boundaries for long-running pipelines and target specific feature skills.
Linting blocks progress during automated QA by running until the targeted skill set is clean. The workflow enforces this blocking behavior, ensuring all lint issues are fully resolved before iterative Review, Fix, and Verify cycles can proceed.
QA cycle orchestration spawns subagents per file to assess granular quality metrics. This allows the workflow to simultaneously evaluate frontmatter quality, instruction clarity, and feature coverage across all files within the targeted skills.
softsparkFix lint, type errors, and simple bugs in code.
ArtyMcLabinAutomate issue triage, diagnosis, and deployment across project pipelines.
jarredkennyDispatch a code-reviewer subagent to assess new changes with structured inputs.
me2DocAutomate GitHub issue resolution and pull request review cycles via sub-agents.
