Agent skill

Skill Personalizer

by hqhq1025 in hqhq1025/skill-optimizer

A skill your agent uses when auditing or adapting newly created, downloaded, forked, installed, or community Agent Skills to the user's tools, habits, directories, session history, and preferred…

MITAuto-check passedMarketing & SEO

Install Skill Personalizer

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

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hqhq1025/skill-optimizer skill-personalizer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/hqhq1025/skill-optimizer.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skill-personalizer .claude/skills/skill-personalizer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
skill-personalizer
GitHub stars
181
Token cost
~630 tokens
SKILL.md length
303 words
Files
4 (incl. references)
Skills in repo
3
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when auditing or adapting newly created, downloaded, forked, installed, or community Agent Skills to the user's tools, habits, directories, session history, and preferred…

  • Works in 8 steps: Inspect the target skill, installed… → Run the audit checks in audit-rubric.md… → Identify the user's recurring phrasing,… → …
  • Adapting newly created
  • SKILL.md covers Overview, When To Use, Workflow and Personalization Rules, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Skill Personalizer is an agent skill from hqhq1025/skill-optimizer. 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.

Its SKILL.md is about 630 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `agents/openai.yaml`, `references/audit-rubric.md` and `references/personalization-rubric.md`).

It sits in Marketing & SEO, covering AI search optimization and Skill management. It works with GitHub. The repository describes itself as: Agent Skills lifecycle toolkit: mine repeated coding-agent workflows, audit and personalize skills, and generalize personal skills for public release. The licence is MIT.

When your agent uses it

  • Adapting newly created
  • Community Agent Skills to the users tools
  • Session history
  • Preferred workflows

Example prompts

  • “/skill-personalizer”

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. Inspect the target skill, installed copies, local memories, and real session evidence when available.
  2. Run the audit checks in 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.

What it can do on your machine

Read from SKILL.md and the folder at commit b9ffd15. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Skill Personalizer loads about 630 tokens when it runs, and up to ~2.2k if it reads all its reference files. Until then it costs about 66 tokens; SKILL.md has 303 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~66
When it runs · the whole SKILL.md, loaded when a task matches
~630
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from hqhq1025/skill-optimizer at commit b9ffd15, republished under its MIT licence (© hqhq1025). 303 words, ~630 tokens.

Download SKILL.mdSave it as .claude/skills/skill-personalizer/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
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 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 for the diagnostic pass inherited from the original optimizer.

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

© hqhq1025, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references) in skills/skill-personalizer of hqhq1025/skill-optimizer.

  • SKILL.md
  • agents/openai.yaml
  • references/audit-rubric.md
  • references/personalization-rubric.md

Open the folder on GitHubat commit b9ffd15

Compare with similar skills

Skill Personalizer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Skill Personalizer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Skill Personalizer this skillhqhq1025/skill-optimizer181—~630Automated safety check: PassMIT
Build Backlinksonvoyage-ai/gtm-engineer-skills1.3k—~2.3kAutomated safety check: PassMIT
Docs Seekereinverne/dotfiles121—~1.4kAutomated safety check: PassGPL-3.0
GitHubkostja94/marketing-skills1k—~4.5kAutomated safety check: PassMIT
GitHub Readmethatrebeccarae/claude-marketing161—~2.9kAutomated safety check: PassMIT
Generative Engine Optimizationkostja94/marketing-skills1k—~2.9kAutomated safety check: PassMIT

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More from hqhq1025/skill-optimizer

  • Skill Miner

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    Auto-check passed
  • Skill Generalizer

    hqhq1025/skill-optimizer

    A skill your agent uses when turning local, private, or personal Agent Skills into publishable skills for GitHub, marketplaces, teams, or public sharing, especially when private paths, personal…

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Works with

Questions about Skill Personalizer

What does Skill Personalizer do?

A skill your agent uses when auditing or adapting newly created, downloaded, forked, installed, or community Agent Skills to the user's tools, habits, directories, session history, and preferred…. Skill Personalizer is an agent skill from hqhq1025/skill-optimizer. 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.

When should I use Skill Personalizer?

Skill Personalizer fits situations like: adapting newly created; community Agent Skills to the users tools; session history; preferred workflows.

How do I install Skill Personalizer in Claude Code?

Run `npx skills add hqhq1025/skill-optimizer --skill skill-personalizer -a claude-code`. Or copy the skill folder (skills/skill-personalizer in hqhq1025/skill-optimizer) into .claude/skills/skill-personalizer in your project. Claude Code loads it when a task matches its description.

How do I install Skill Personalizer in Codex?

Run `npx skills add hqhq1025/skill-optimizer --skill skill-personalizer -a codex`. Or copy the skill folder (skills/skill-personalizer in hqhq1025/skill-optimizer) into .agents/skills/skill-personalizer in your project. Codex loads it when a task matches its description.

Can I use Skill Personalizer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hqhq1025/skill-optimizer --skill skill-personalizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-personalizer, .gemini/skills/skill-personalizer, .github/skills/skill-personalizer and .opencode/skills/skill-personalizer in your project.

What does Skill Personalizer need to run?

SKILL.md names no scripts, command-line tools or credentials: Skill Personalizer is instructions for the agent only.

Does Skill Personalizer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Skill Personalizer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Skill Personalizer use?

Skill Personalizer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Skill Personalizer use?

About 630 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.6k tokens, read only when the agent opens those files.

What are the alternatives to Skill Personalizer?

Skills that share tags, products or a category with Skill Personalizer: Build Backlinks (onvoyage-ai/gtm-engineer-skills, 1.3k stars), Docs Seeker (einverne/dotfiles, 121 stars), GitHub (kostja94/marketing-skills, 1k stars) and GitHub Readme (thatrebeccarae/claude-marketing, 161 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Skill Personalizer?

hqhq1025 (a GitHub user) maintains it in hqhq1025/skill-optimizer, which has 181 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on May 14, 2026.

Source: hqhq1025/skill-optimizer on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.