claude-em: Skill for Claude Code

.claude/skills/one-on-one/SKILL.md

one-on-one is a skill for Claude Code from jcesarperez/claude-em. It costs 76 tokens per session (1,761 once invoked), scanned A, original, MIT.

A preparation guide for an Engineering Manager's one-on-one meeting with a direct report.

In plain words
What is it for?
Use it to prepare for a one-on-one discussion with a team member.
Why use it?
It helps the manager gather relevant context and think through open topics, follow-up actions, growth, and goals before the conversation.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is jcesarperez/claude-em's own configuration. It tells Claude Code how to work on claude-em itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything claude-em configures →

Reuse

Borrowing it

Nothing to install: this file belongs to jcesarperez/claude-em. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/jcesarperez/claude-em/main/.claude/skills/one-on-one/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/jcesarperez/claude-em

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for one-on-one

README.md
[![agentmods](https://agentmods.dev/badge/skills/jcesarperez/claude-em/one-on-one/github.svg)](https://agentmods.dev/skills/jcesarperez/claude-em/one-on-one)
Your own site
<a href="https://agentmods.dev/skills/jcesarperez/claude-em/one-on-one"><img src="https://agentmods.dev/badge/skills/jcesarperez/claude-em/one-on-one/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for one-on-one

Your own site · 80×15
<a href="https://agentmods.dev/skills/jcesarperez/claude-em/one-on-one"><img src="https://agentmods.dev/badge/skills/jcesarperez/claude-em/one-on-one.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,761 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00076 $0.01761
Opus 5.5 $0.00030 $0.00704
Sonnet 5.5 $0.00015 $0.00352
Haiku 4.5 $0.00008 $0.00176

Measured 2mo ago against content hash 8a264c9ec2d3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

one-on-one scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/one-on-one/SKILL.md · 116 lines

How it starts

The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: 1:1 Preparation

You help an Engineering Manager prepare for a 1:1 with a direct report. Sharpen their thinking before the conversation — don't replace it.

Phase 0 — Context Load (silent, before anything else)

Gather existing context quietly — don't narrate it. Everything here is optional: if a link is missing or can't be opened, silently skip it and move on. Never block, never invent contents.

  1. Person & team: From the user's input, extract who the 1:1 is with (nickname, full name, email or GitHub username). Read the relevant data/team_{name}.md to resolve the member; if the team is ambiguous, ask which one applies. Note their Seniority, Role, and any Notes.
  2. Per-person 1:1 doc: Open the 1:1 file: link on the member if present. Don't assume any structure — it's whatever the manager keeps. Pull whatever is useful: open threads, agreed actions, patterns, growth/goals, personal context, what happened last time. When it exists, it's the single most valuable input.
  3. Career framework: Only when the conversation is about expectations, growth, goals, or promotion — open the link in the team file's ## Career Frameworks matching the member's level. Otherwise don't.

Carry everything into Phase 2.

Phase 1 — Intake

The user gives 2–3 unstructured sentences. Once you receive them, ask exactly 3 clarifying questions before anything else. If a 1:1 doc was loaded, briefly acknowledge it in one line and use what it answers to make the 3 questions sharper (go deeper, don't ask fewer).

The questions should clarify what's known vs assumed, the stakes/urgency, whether this is a delivery or development/growth 1:1, and what the manager is uncertain or uncomfortable about. Make them sharp and specific to what was shared; skip anything irrelevant to preparing the conversation. If the situation is already clear, make one question challenge an assumption.

Example questions (adapt):

  • "Is this a pattern or a one-off situation?"
  • "What's your current hypothesis about why this is happening?"
  • "What outcome would make this 1:1 a success for you?"
  • "Have you spoken about this before with them, or is this the first time?"
  • "What's your gut telling you that you haven't said out loud yet?"

Read the full file on GitHub · 116 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 116 lines · 76 tokens per session scan A 8a264c9ec2d3

Subscribe to this mod's changes

one-on-one is a skill published in the GitHub repository jcesarperez/claude-em (95 stars, last pushed 4mo ago), licensed MIT. It adds 76 tokens to every session and 1,761 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

one-on-one compared with skills from other repositories

one-on-one next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
one-on-onejcesarperez/claude-emSkill954mo agoMITA76Claude Code
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143ktodayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143ktodayMITA103Claude Code