yknothing/skills-refiner

Agent Skills Refiner

23Stars on the repository
5Mods indexed here, across every type
6d agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

skill-debug

01

yknothing/skills-refiner

Skill Claude CodeCodex

Use when you need local evidence about whether agent skills are on likely discovery surfaces, whether activation canaries were observed, and which installed skill identities have no local canary evidence.

not rated 23 6d ago A 38 tokens original MIT

skill-hygiene

02

yknothing/skills-refiner

Skill Claude CodeCodex

Use when you need to audit, evaluate, govern, safely retire, or transactionally upgrade locally installed or distributed agent skills. Triggers include skill sprawl, stale, broken, or conflicting skills, local cleanup or quarantine, managed physical collections, pre-migration review, and periodic inventory checks.

not rated 23 6d ago A 64 tokens original MIT

skills-appreciation

03

yknothing/skills-refiner

Skill Claude CodeCodex

Explain and interpret a skill, a skills repository, or a skills system in a deep yet accessible teaching style. Use when the goal is to help readers truly understand how it works, why it works, what is worth learning, and how to design better skills.

not rated 23 6d ago A 57 tokens original MIT

skills-panorama

04

yknothing/skills-refiner

Skill Claude CodeCodex

A read-only inventory tool for mapping locally installed agent skills: where they come from, which agents can use them, and whether their links and catalog records match.

not rated 23 6d ago A 77 tokens original MIT

skills-refiner

05

yknothing/skills-refiner

Skill Claude CodeCodex

Audit and refine a skill repository, a single skill, a workflow framework, or an eval set. Covers design quality, context engineering, purpose fit, evidence discipline, and boundary clarity — the structural dimensions that assertion-based testing does not reach. When a targetrepo is provided, continues into…

not rated 23 6d ago A 86 tokens original MIT

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