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/personal-mode

Draft a user-level behavior profile from recent transcripts — cross-project preferences, habits, and standing calls stored under the user skills dir so every project's agents work the way you work. For 'make agents work like me'.

From plugin
oh-my-claudecode
41k84 skills21 agents21 commands11 hooks
+1

Claude Code

$ npx -y skills add Yeachan-Heo/oh-my-claudecode --skill personal-mode --agent claude-code

SKILL.md

personal-mode.SKILL.md
name: personal-mode
description: "Draft a user-level behavior profile from recent transcripts — cross-project preferences, habits, and standing calls stored under the user skills dir so every project's agents work the way you work. For 'make agents work like me'."
aliases: []
metadata:
  credits:
    personal-mode-concept: pstack
    author: Lauren Tan
    url: "https://github.com/cursor/plugins/tree/main/pstack"
    port: pstack-claude
    port-author: Michael Denyer
    port-url: "https://github.com/michael-denyer/pstack-claude"

Personal Mode

Project skills say how to work in *this* repo. A personal mode says how *you* work, everywhere: the calls you would make, the depth you want, the ceremony you skip. This skill drafts one from evidence — your recent transcripts — not from a questionnaire.

When to use

  • the user asks for agents to work like them across projects, or to

remember their working style

  • the same correction keeps coming up in unrelated repos

When not to use

  • repo-specific conventions — those are project skills (`skillify`)
  • one-off preferences — `remember` stores those cheaply

Workflow

1. **Gather evidence**: recent transcripts across the user's projects (with the user's say-so for which span). Look for *repeated* signals: corrections the user made more than once, reply-length or verbosity preferences, risk calls (autonomy grants, pause points), tools they always or never want used. 2. **Draft the profile** as skill edits, grouped and each tied to the transcript moments that evidence it. A preference seen once is a hypothesis; state it as one and ask. 3. **Confirm with the user** — every line of a personal mode is a standing call the user is making about their own agents; nothing lands unconfirmed. 4. **Write** the confirmed profile to a separate user skills entry, `${CLAUDE_CONFIG_DIR:-$HOME/.claude}/skills/personal-mode-profile/SKILL.md`. Keep this generated profile separate from the bundled `personal-mode` workflow so the generator remains discoverable and editable. A user skill is opt-in context; it is not a global instruction applied to every task. Use frontmatter, triggers, and short checkable rules — a personal mode that restates platitudes is dead weight (`minimal-prose-discipline` applies). 5. **Report** what was captured, what was hypothesized but unconfirmed, and how to edit it later (`skill` command).

Rules

  • Evidence first: every profile line cites the transcript moments behind

it; a line without evidence is asked about, not written.

  • The profile layers *under* project skills — a repo's explicit rules win.
  • Personal modes contain no secrets, tokens, or private data — only

working-style calls.

  • Re-running this skill revises; it never silently overwrites — show the

diff and confirm.

Read more
@yeachan-heo
Ships withoh-my-claudecode

For Codex users: Check out oh-my-codex — the same orchestration experience for OpenAI Codex CLI. Liked OmC but found it a bit overkill? Try gajae-code.

41k84 skills21 agents1 MCP
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Questions about personal-mode.

Which coding agents can use personal-mode?
personal-mode installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.