one-on-one-prep skillA
one-on-one-prep is agent-read markdown (skill) from techwolf-ai/ai-first-toolkit: Deep-dive preparation for 1:1 meetings with direct reports. Surfaces recent work, wins, friction, wellbeing signals, and development goal progress, anchored in the org's performance framework, organizational values, and management best practices. Produces a prep sheet with suggested conversation topics, not a script..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# 1:1 Prep > **Great 1:1s live at the intersection of performance and care.** Development keeps growth alive. Wellbeing makes sure the person behind the work is seen. Both matter every time. Deep-dive preparation for 1:1 meetings with a specific direct report, anchored in the org's performance framework (from `manager-context/performance-framework.md`) and organizational values. ## When to Use - Before any 1:1 meeting with a direct report - When the manager says "prep my 1:1 with [name]", "what should I discuss with [name]" - Can be invoked with just a name, the skill finds the relevant context ## Instructions If any MCP connector is unavailable, follow the connector unavailability protocol in `references/operating-principles.md`. ### 1. Identify the Team Member If a name is provided, match it against `manager-context/team/` profiles. If no name is specified, check the calendar for the next upcoming 1:1 meeting and identify the attendee. If ambiguous: ``` Which team member? Your upcoming 1:1s are: - [Name], [day] at [time] - [Name], [day] at [time] ``` Load the team member's profile from `manager-context/team/[name].md` for: …
Read the whole file at its exact version.
How to install
mdr add techwolf-ai/ai-first-toolkit/one-on-one-prep@git:20260610.38aa811mdr add techwolf-ai/ai-first-toolkit/one-on-one-prep@sha256:bec1abcaa7852b33Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_pgrbb7gedpgwjqno)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260610.38aa811 latest | 2026-06-10 | 38aa811 | 8,654 B | A | view · diff |
| git:20260410.852272e | 2026-04-10 | 852272e | 8,672 B | A | view · diff |
| git:20260326.c5593b4 | 2026-03-26 | c5593b4 | 8,712 B | A | view · diff |
| git:20260324.2d53474 | 2026-03-24 | 2d53474 | 8,731 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (8654 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
techwolf-ai/ai-first-toolkit · 100 stars · license MIT · pushed 2026-09-22 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_pgrbb7gedpgwjqno GET https://markdownregistry.com/api/v1/resolve?ref=techwolf-ai/ai-first-toolkit/one-on-one-prep GET https://markdownregistry.com/api/v1/blob/bec1abcaa7852b3310f05b4c1934c335cd3913966f5cb234e84178e2733d240b
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