Create and optimize self-contained SKILL.md workflow skills from repeated tasks.
npx skills add https://github.com/lazygophers/aidog --skill skill-smith-lazygophers
Please help me install this Agent Skill. Skill: skill-smith Source: https://github.com/lazygophers/aidog/tree/main/.claude/skills/skill-smith Command: npx skills add https://github.com/lazygophers/aidog --skill skill-smith-lazygophers
This Skill helps you capture repetitive workflows, turn them into reusable skills, and improve existing skills so they are easier to share, reuse, and maintain.
Ask to turn a repeated workflow into a skill or to audit and improve an existing skill using the built-in create or optimize process.
High-intent search queries and answers about installing and using this skill.
To turn a repeated workflow into a reusable skill, you use a structured authoring process that generates a self-contained SKILL.md file with clear triggers, step-by-step instructions, failure handling, and checkpoints. This formalizes your workflow for cross-project reuse.
Yes, you can mine local Claude session history and git commit history to identify high-frequency tasks. This workflow discovery process analyzes your past activity to find repetitive processes worth packaging into new skills.
The best way to optimize an existing skill file is using a rubric-driven, one-dimension-at-a-time optimization loop with safe git-based rollback. This structured approach ensures measurable improvements and reversible changes without breaking your setup.
Yes, skill authoring requires a structured SKILL.md entry point with frontmatter. This format must include trigger discovery, failure-mode handling, checkpoints, and a blacklist of mistakes to ensure the skill remains self-contained and maintainable.
Automated workflow mining requires local project directories and Claude session history access. By analyzing your git commit history alongside these local sessions, the tool identifies high-frequency tasks suitable for packaging into reusable skills.
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