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Skill Personalizer Agent Skill

Use when auditing or adapting newly created, downloaded, forked, installed, or community Agent Skills to the user's tools, habits, directories, session history, and preferred workflows, especially when triggers feel wrong, noisy, or too generic.

2k tokens
context cost
the whole folder, loaded on every use
4
files
instructions only
0
copies elsewhere
how many repositories repackaged it
152
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/hqhq1025/skill-optimizer --skill skill-personalizer

The instruction itself

6 sections, as written by the author

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

  • Inspect the target skill, installed copies, local memories, and real session evidence when available.
  • Run the audit checks in audit-rubric.md when quality, trigger fit, or retention is unclear.
  • Identify the user's recurring phrasing, expected autonomy level, tools, directories, and verification habits.
  • Compare the skill's trigger conditions against real user requests that should or should not load it.
  • Edit only the target skill and bundled resources needed for personalization.
  • Add concrete local defaults, preferred commands, safety boundaries, and verification steps.
  • Preserve useful upstream behavior; document any intentional local divergence.
  • Validate with realistic prompts and a frontmatter/layout check.

Personalization Rules

  • Personal details are allowed only if they improve this user's future execution.
  • Do not add brittle fallbacks that hide broken local setup.
  • Prefer real local evidence over generic best practices.
  • Keep trigger descriptions broad enough to catch the user's natural phrasing.
  • If editing an installed third-party skill, avoid changing upstream attribution or license text.

References

Read audit-rubric.md for the diagnostic pass inherited from the original optimizer.

Read personalization-rubric.md for local defaults, session evidence, and validation scenarios.

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How to use it

Copy the folder

Take hqhq1025/skill-personalizer from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.