skill-personalizer
Use when auditing or adapting newly created, downloaded, forked, installed, or community Agent Skills to the user's tools, habits, directories, session…
Skill by hqhq1025
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/hqhq1025-skill-personalizer
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/skill-personalizer
What's inside
- Skill 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.
- License
- MIT
- Instructions
- 41 lines in SKILL.md · view on GitHub
Files (4)
- SKILL.md
- openai.yaml · agents/
- audit-rubric.md · references/
- personalization-rubric.md · references/
SKILL.md (first lines)
# 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.
From hqhq1025/skill-optimizer, MIT.
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Use when mining coding-agent session history, archived transcripts, memories, or repeated local work to discover recurring workflows that should become new…
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Signals
- Stars
- 184
- Forks
- 6
- Open issues
- 0
- Last commit (this folder)
- May 14, 2026 (5 months ago)
- Last release
- May 14, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/hqhq1025/skill-optimizer
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from hqhq1025
- 0.690score
skill-generalizer
hqhq1025
Use when turning local, private, or personal Agent Skills into publishable skills for GitHub, marketplaces, teams, or public sharing, especially when private…
SkillCFreshness: C★ 184Claude Code +9 - 0.690score
skill-miner
hqhq1025
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Cite this page
skill-personalizer. Agent Mart. https://agentmart.dev/skills/hqhq1025-skill-personalizer (last updated 2026-10-24)