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AI EngineeringPython

Skill Personalizer

by hqhq1025

Skill Personalizer is an AI Engineering skill for Claude Code, published by hqhq1025 in skill-optimizer.

167 stars4 forkson hqhq1025/skill-optimizerAdded 2026/09/08+2% in starsRepository updated 2026/05/14
agent-skillsagentskillsai-visibilityclaude-codeclaude-code-skillsclaude-skillcodexcodex-skillscursor-skillsgemini-cligithub-pagesllm-agentsllms-txtopencode-skillsprompt-engineeringskill-generalizerskill-minerskill-optimizerskill-personalizer
Install in seconds
Install Skill Personalizer
Copy Skill Personalizer into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/hqhq1025/skill-optimizer/tree/main/skills/skill-personalizer ~/.claude/skills/skill-personalizer

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/hqhq1025/skill-optimizer.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/skill-personalizer/SKILL.md in hqhq1025/skill-optimizer
Installs to
~/.claude/skills/skill-personalizer
Collection
One of 3 skills cataloged from this repository
Category
AI Engineering3670 skills

What Skill Personalizer does

Skill Personalizer audits and adapts newly created or installed skills to a user's tools, paths, habits, and workflow. Use it when triggers feel wrong, noisy, generic, or misaligned with local conventions.

Skill Personalizer is cataloged under AI Engineering on DirSkills. Skill Personalizer comes from a repository tagged agent-skills, agentskills, ai-visibility, claude-code and claude-code-skills.

Documentation

README

Skill Personalizer

Overview

Audit and tune a skill for one user's real environment. The goal is not public portability; it is better triggering, less friction, and stronger fit with the user's actual tools, paths, style, and recurring tasks.

When To Use

  • A user installs a skill from GitHub or creates one from scratch and wants it to fit their setup.
  • A skill undertriggers, overtriggers, asks unnecessary questions, or misses the user's preferred workflow.
  • A user asks whether an existing skill is good, broken, noisy, too long, conflicting, or worth keeping.
  • Local paths, aliases, memories, CLIs, MCP tools, or repo conventions should be reflected in the skill.

Do not use when preparing a skill for public release; use skill-generalizer for that.

Workflow

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Skill Personalizer

  • What else does hqhq1025 publish alongside Skill Personalizer?

    Skill Personalizer is one of 3 skills that DirSkills catalogs from hqhq1025/skill-optimizer, the repository it ships in. Its siblings there include Skill Generalizer and Skill Miner. Each one is a separate skill with its own page in this directory, installs the same way Skill Personalizer does, and is maintained by hqhq1025 in that same repository. The rest of the collection is listed on the hqhq1025/skill-optimizer page.

  • How does Skill Personalizer compare to other AI Engineering skills?

    Skill Personalizer ranks #3318 by stars among the 3670 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Skill Personalizer against them. Open each page to compare what they document and how they install.