Your JSON text here.
npx skills add https://github.com/t-hasuike/CLysis --skill empirical-prompt-tuning-t-hasuike
Please help me install this Agent Skill. Skill: empirical-prompt-tuning Source: https://github.com/t-hasuike/CLysis/tree/main/legacy-workflow/skills/empirical-prompt-tuning Command: npx skills add https://github.com/t-hasuike/CLysis --skill empirical-prompt-tuning-t-hasuike
Helps teams evaluate and iteratively improve skill definitions (SKILL.md) using a bias-free, staged process.
Initiate a full evaluation/improvement cycle on the target SKILL.md following Steps 1 through 3 and save the results.
High-intent search queries and answers about installing and using this skill.
To evaluate skill definitions without bias, use a multi-step process that separates baseline evaluation from improvement proposals, ensuring changes are traceable to initial weaknesses before re-evaluation and convergence checks.
A convergence check in prompt tuning verifies that iterative improvements to skill definitions have stabilized, ensuring that further modifications no longer yield significant changes across evaluation rounds.
You assess the clarity and feasibility of a SKILL.md file by running a baseline evaluation across five axes: clarity, completeness, feasibility, quality guards, and integration, generating structured reports on outcomes.
Yes, you can automate iterative refinement by applying a staged workflow that generates improvement proposals, re-evaluates the results, and performs formal convergence checks across multiple rounds.
The best way to ensure governance before deployment is to apply a formal convergence protocol with calibration references, evaluating skill definitions for completeness and quality guards across structured reporting rounds.
Skill definitions fail to converge during prompt tuning when improvement proposals lack traceability to baseline weaknesses, preventing stable re-evaluation outcomes across iterative rounds.
GenerativeAgentsGenerate a review-ready PRD from initial-requirements.md using the PRD template.
deveshkumarsMonitor production URLs post-deploy with canary checks and baseline comparisons.
EojEdredDetect bias in governance proposals using a Python evaluation framework.
braselogAssess scientific manuscripts and proposals with structured review stages and checklists.
