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One To One Prep

skill-kirkruglov-claude-skills-kit-one-to-one-prep · by KirKruglov

Generates a structured prep document for monthly 1-on-1 meetings with direct reports.

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Install

$ agentstack add skill-kirkruglov-claude-skills-kit-one-to-one-prep

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Skill: one-to-one-prep

A skill for team leads, engineering managers, and department heads. Generates a structured prep document for monthly 1-on-1 meetings with direct reports, based on previous meeting notes and task tracker data.


Triggers

Russian: «подготовь 1-on-1», «prep для ван-он-вана», «готовлюсь к 1:1», «подготовка к встрече с сотрудником», «сгенерируй агенду для 1-on-1», «one-to-one prep», «подготовь встречу один на один» English: "prep for 1-on-1", "one-to-one prep", "prepare for 1:1", "1-on-1 agenda", "prepare for my one-on-one", "generate 1:1 prep", "one on one meeting prep"


Language Detection

  1. Detect the language of the user's first message.
  2. If the message is in Russian — use Russian throughout the conversation and in the prep document.
  3. If the message is in English — use English throughout the conversation and in the prep document.
  4. If the language is ambiguous (mixed text, transliteration) — default to Russian.
  5. Language is fixed at the start of the session and does not change until generation is complete.

Input

Required:

  • Notes from the previous 1-on-1 (free-form text). If absent — activate first-meeting mode.
  • Employee task list / activity log for the period since the last meeting (paste from any tracker: Jira, Linear, Asana, ClickUp, Notion, or plain text).

Optional:

  • Employee career goals
  • Individual Development Plan (IDP)
  • Current OKRs

If required data is missing — request it before generating.

Output

Markdown prep document with the following sections:

  1. Action item status from the previous 1-on-1
  2. Key events of the period
  3. Prioritized discussion topics
  4. Motivation and wellbeing questions
  5. New action items template

Instructions

Step 1 — Check for Required Data

Verify that the user has provided both required parameters: previous 1-on-1 notes and the task list.

If notes are absent — activate first-meeting mode: skip action item tracking and instead generate onboarding questions (expectations from meetings, current priorities, working style).

If the task list is missing — explicitly request it before proceeding.

If the request is clearly outside the skill's scope (write a performance review, rate an employee, create a ranking, etc.) — explain the skill's purpose and offer a specific alternative: "If you'd like to prepare for a meeting where you'll discuss this topic — I can generate a prep document for that context."

Step 2 — Analyze Previous Meeting Notes

Extract from the notes:

  • Action items with dates and owners (if specified)
  • Topics left open or requiring follow-up
  • Agreements that need to be verified

Goal: identify what needs to be tracked at the current meeting.

Step 3 — Analyze the Task List

Extract from the task list:

  • Completed tasks (status Done / Closed / Completed or equivalent)
  • Tasks without progress (no updates for more than 5 working days, deadline passed or approaching)
  • Tasks not started (status "not started" / "backlog" / "todo") that should already be in progress given the period context — flag as potential risk
  • Blockers — explicit (tag, comment) or implicit (task not moving)
  • Anomalies: many re-openings, tasks without estimates, sudden volume spike
  • If OKRs are provided: compare task progress against the goal trajectory (e.g., a task In Progress at 40% with an OKR of 80% is a risk of falling behind — flag as "at risk")

Goal: build an objective picture of the period to verify with the employee.

Step 4 — Generate Discussion Topics

Generate 3–5 topics based on Steps 2 and 3. Prioritize using the table:

| Priority | Criteria | |----------|---------| | High | Overdue action items; active blockers; deadline risk | | Medium | Tasks without progress; open questions from previous 1-on-1; OKR deviation (progress below expected trajectory) | | Low | Achievements; routine updates on career goals, IDP, or OKR (progress on track) |

If career goals, IDP, or OKRs are provided — add a development topic at the end of the list.

Step 5 — Generate Motivation and Wellbeing Questions

Generate 3–4 open-ended, non-evaluative questions. Select based on context:

  • Baseline (always relevant): How is the workload feeling? What was the hardest thing this period?
  • When blockers are present: What's preventing progress? How can I help?
  • When career goals are provided: How is progress going toward goal X?

Do not generate a checklist — only the 3–4 most relevant questions.

Step 6 — Assemble the Prep Document

Use the structure below. Fill in the employee's name and date from context; if not provided — use "[Employee]" and "[meeting date]".

# 1-on-1 Prep: [Employee Name] — [date]

## Action Items from Last Meeting
| Task | Status | Comment |
|------|--------|---------|
| ...  | Done / In Progress / Overdue | ... |

## Key Events This Period
**Completed:** ...
**At Risk / No Progress:** ...
**Blockers:** ...

## Discussion Topics
1. [High] ...
2. [Medium] ...
3. [Low] ...

## Motivation & Wellbeing Questions
- ...
- ...

## New Action Items
| Task | Owner | Due Date |
|------|-------|----------|
|      |       |          |

Constraints

  • Does not maintain meeting history between sessions — each run is independent
  • Does not access external systems — analyzes only the provided text
  • Does not evaluate employee performance — only structures data for conversation
  • Does not replace the meeting — only prepares for it
  • When data is insufficient — requests it, does not infer
  • Does not generate performance reviews, ratings, or scores

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.