Refine ambiguous user requests into actionable prompts and execute code with anti-clutter standards.
npx skills add https://github.com/blakecyze/kanso --skill kanso-task
Please help me install this Agent Skill. Skill: kanso-task Source: https://github.com/blakecyze/kanso/tree/main/skills/kanso-task Command: npx skills add https://github.com/blakecyze/kanso --skill kanso-task
This skill solves the problem of vague, underspecified, or bloated AI requests by forcing a clarification and refinement phase before any code is written, ensuring the output is high-quality and clutter-free.
Invoke the skill by typing /kanso-task followed by your rough request to begin the sharpening and execution process.
High-intent search queries and answers about installing and using this skill.
To refine ambiguous AI coding requests, you can use a prompt sharpening process that performs an ambiguity pre-flight check, identifies missing acceptance criteria, and rewrites the task into a precise, actionable prompt before execution begins.
To enforce minimalist coding principles during refactoring, apply strict anti-clutter rules during execution that actively prevent defensive programming, redundant comments, and code bloat while generating the target changes.
The best way to prevent bloated AI code generation is to run an ambiguity pre-flight phase that catches fuzzy scope and missing criteria, forcing a clarification step that refines the request into a sharp prompt prior to writing any code.
Yes, context-aware refactoring requires Bash access to command-line utilities such as git, rg, find, and wc to gather repository context and ensure task completion aligns with the requested minimalist standards.
An ambiguity pre-flight check improves code quality by identifying missing acceptance criteria and fuzzy scope before execution begins, preventing wasted effort and ensuring the generated output is high-quality and clutter-free.
You should avoid prompt sharpening for coding tasks when your environment lacks Bash access to git, rg, find, and wc, as the skill relies on these dependencies to perform context-aware task completion and strict anti-clutter execution.
blakecyzeAudit and prune AGENTS.md and CLAUDE.md context files for redundancy and drift.
mathiasbourgoinStandardize git commit messages, branch names, and pull request descriptions.
iulianditaAudit TypeScript, Python, Rust, Shell, and IaC codebases for AI-generated quality issues.
xiaoshuangLiCreate testable specifications with user stories, acceptance criteria, and traceability artifacts.
