Creates standardized AI skills with validation, eval testing, and optimization workflows.
npx skills add https://github.com/hschne/pi-stuff --skill skill-creator-hschne
Please help me install this Agent Skill. Skill: skill-creator Source: https://github.com/hschne/pi-stuff/tree/main/skills/skill-creator Command: npx skills add https://github.com/hschne/pi-stuff --skill skill-creator-hschne
This Skill eliminates the guesswork and manual effort of building, refining, and testing custom AI skills, ensuring they trigger correctly for the right user queries and deliver consistent, reliable results when activated.
Use the skill-creator skill to turn my recent workflow for cleaning and summarizing quarterly sales CSVs into a reusable, tested skill.
High-intent search queries and answers about installing and using this skill.
You can package recurring conversation workflows or tool integrations into a reusable skill using an interview-driven creation process. This workflow structures domain expertise into a standardized format that other agents can automatically trigger and execute reliably.
Test custom AI skills by running automated and human-graded evals that benchmark performance against baseline agent behavior. This validation process identifies triggering inaccuracies and allows you to prune unnecessary content to keep skills lean and effective.
Custom AI skills fail to trigger correctly when descriptions are not optimized for reliable model invocation. Description optimization aligns skill metadata with expected user queries, ensuring the model invokes the right skill for the right prompt.
The best way to optimize skill descriptions is through eval-backed testing that benchmarks triggering accuracy. This process progressively prunes unnecessary content and refines reference materials to ensure consistent, reliable model activation.
Yes, you can turn domain expertise and tool integrations into tested skills through a standardized creation workflow. The process validates skill structure, runs eval testing, and optimizes descriptions to ensure reliable performance.
Manually building custom skills without eval testing leads to inconsistent, untested, and hard-to-maintain results. Without benchmarking against baseline agent behavior, skills suffer from triggering inaccuracies and bloat from unnecessary content.
KuassDefine SKILL.md structure and content requirements for AI skills.
ether-moonCreate structured Claude SKILL.md files with YAML frontmatter and testing workflows.
mgoerickeCreate, test, evaluate, and optimize AI skills with SKILL.md files.
saitarrunStandardize testing workflows with structured planning and acceptance criteria validation.
