tag

skill

183 indexed skills · max 10 per page

skills (183)

skill-manager

kkkkhazix/khazix-skills · Productivity

0

This skill helps you maintain your library of GitHub-wrapped skills by automating the detection of updates and assisting in the refactoring process.

customaize-agent:apply-anthropic-skill-best-practices

neolabhq/context-engineering-kit · AI/ML

0

Apply Anthropic's official skill authoring best practices to your skill.

customaize-agent:create-skill

neolabhq/context-engineering-kit · AI/ML

0

This command provides guidance for creating effective skills.

skill-name

claude-office-skills/skills · Productivity

0

[Clear explanation of what this skill does and when to use it]

skill-router

charon-fan/agent-playbook · Productivity

0

An intelligent router that analyzes user requests and recommends the most appropriate Claude Code skill for the task.

cc-skill-continuous-learning

sickn33/antigravity-awesome-skills · Productivity

0

cc-skill-continuous-learning \n Development skill skill. \n When to Use \n This skill is applicable to execute the workflow or actions described in the overview.

agent-skill-creator

francyjglisboa/agent-skill-creator · Productivity

0

$23

skill-comply

affaan-m/everything-claude-code · Productivity

0

Measures whether coding agents actually follow skills, rules, or agent definitions by:

search-skill

gbsoss/skill-from-masters · Productivity

0

Search and recommend Claude Code skills from trusted marketplaces based on user requirements. \n \n Searches across six curated sources in priority order: anthropics/skills, ComposioHQ/awesome-claude-skills, travisvn/awesome-claude-skills, skills.sh, ClawHub, and skillsmp.com \n Filters results by community verification (10+ stars), maintenance status (updated within 6 months), and security checks for suspicious code patterns \n Ranks recommendations using a weighted scoring system that prioriti

skill-forge

sanyuan0704/code-review-expert · Productivity

0

IRON LAW: Every line in a skill must justify its token cost. If it doesn't make the model's output better, more consistent, or more reliable — cut it.

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