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skill-personalizer — Claude Code skill: what it does, how to install

Tunes newly added or custom agent skills to match your local paths and session history. It helps when skill triggers fire too broadly or fail to activate.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add hqhq1025/skill-optimizer --skill skill-personalizer -a claude-code
Open on GitHub

What skill-personalizer does

This skill adapts new, forked, or community agent skills to your actual work environment. It does not aim for general portability. The goal is fewer interruptions and direct alignment with your local tools and recurring requests.

During the audit, the agent inspects the target skill alongside session history. It references references/audit-rubric.md and references/personalization-rubric.md to evaluate quality. The workflow refines activation conditions and injects personal CLI defaults while keeping upstream licenses intact.

It is not designed for packaging skills for public distribution: use skill-generalizer for that instead. The instructions also prohibit brittle fallbacks that mask broken local setups.

What it helps with

  • adapt skill trigger phrases to personal wording
  • wire agent skills to local project paths and MCP tools
  • cut down unnecessary agent questions during execution
  • audit imported community skills before keeping them

Example prompts for the agent

  • Audit this newly installed skill and align its triggers with my usual phrasing.
  • Adapt this community skill to use my local directory paths and MCP tools.
  • Review this skill against the audit rubric and remove redundant confirmation prompts.

How to install skill-personalizer

1Skills CLI (Vercel)

npx skills add hqhq1025/skill-optimizer --skill skill-personalizer -a claude-code

2Manually: put the files in place

~/.claude/skills/skill-personalizer/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/skill-personalizer/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about skill-personalizer

How do I install skill-personalizer in Claude Code?

Run npx skills add hqhq1025/skill-optimizer --skill skill-personalizer -a claude-code in your terminal. The skill file will be placed in ~/.claude/skills/skill-personalizer/SKILL.md.

What does skill-personalizer do?

It audits and edits agent skills so they match your local directory structure, CLI tools, and interaction style. This stops skills from triggering incorrectly or asking repetitive questions.

Can I use skill-personalizer to prepare a skill for public release?

No, its purpose is local customization for a single developer. To make a skill portable and ready for public sharing, use skill-generalizer.

Source text

SKILL.md · MIT
---
name: skill-personalizer
description: 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.
---

# 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

1. Inspect the target skill, installed copies, local memories, and real session evidence when available.
2. Run the audit checks in [audit-rubric.md](references/audit-rubric.md) when quality, trigger fit, or retention is unclear.
3. Identify the user's recurring phrasing, expected autonomy level, tools, directories, and verification habits.
4. Compare the skill's trigger conditions against real user requests that should or should not load it.
5. Edit only the target skill and bundled resources needed for personalization.
6. Add concrete local defaults, preferred commands, safety boundaries, and verification steps.
7. Preserve useful upstream behavior; document any intentional local divergence.
8. 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](references/audit-rubric.md) for the diagnostic pass inherited from the original optimizer.

Read [personalization-rubric.md](references/personalization-rubric.md) for local defaults, session evidence, and validation scenarios.

© hqhq1025 · MIT · hqhq1025/skill-optimizer

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