Discover, execute, and track iterative codebase improvement tasks.
npx skills add https://github.com/AndersCan/mantaq --skill self-improvement-anderscan
Please help me install this Agent Skill. Skill: self-improvement Source: https://github.com/AndersCan/mantaq/tree/main/.opencode/skills/self-improvement Command: npx skills add https://github.com/AndersCan/mantaq --skill self-improvement-anderscan
This Skill helps you organize and track your self-improvement tasks, coordinating workers to execute them and improving the skill itself over time.
Run the self-improvement skill with the parameters 'iteration_count 5 depth medium' to start the self-improvement loop.
High-intent search queries and answers about installing and using this skill.
Continuous improvement tasks are tracked by automatically discovering codebase issues, coordinating workers to execute fixes, and recording progress logs for each iteration to ensure iterative enhancement.
Task orchestration for codebase self-improvement works by running a loop that discovers tasks, coordinates worker agents for execution, and automatically applies improvements to the skill itself after each run.
You can automate code quality improvements by running the self-improvement skill with parameters like 'iteration_count 5 depth medium' to automatically discover and execute tasks across your codebase.
The best way to manage iterative codebase improvements is using an orchestration workflow that handles branch management, logs progress after each iteration, and continuously refines the execution process.
You need specific scripts and worker agents to execute continuous improvement tasks, as the orchestration workflow requires dedicated components for task discovery and execution to properly manage iterative updates.
Jurel89Coordinate N worker agents executing tasks in isolated git worktrees with back-pressure control.
ViewWayAnalyze OpenClaw conversations to identify improvement opportunities and generate weekly reports.
Kling0012Coordinate multi-agent swarms for parallel task execution across mesh, hierarchical, and adaptive topologies.
beshkenadzeAnalyze code for security, performance, and quality issues.
