CtrlK
BlogDocsLog inGet started
Tessl Logo

mentorship-meeting-agenda

Generate structured agendas for mentor-student one-on-one meetings

61

3.12x
Quality

41%

Does it follow best practices?

Impact

100%

3.12x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./scientific-skills/Academic Writing/mentorship-meeting-agenda/SKILL.md
SKILL.md
Quality
Evals
Security

Evaluation results

100%

65%

First Doctoral Student Meeting Prep

Phase-specific agenda generation

Criteria
Without context
With context

Script invoked

100%

100%

Student flag used

0%

100%

Phase flag: early

0%

100%

Output file flag

100%

100%

Output file present

100%

100%

Phase label in agenda

0%

100%

Six sections present

0%

100%

Time allocations present

100%

100%

Discussion prompts present

0%

100%

Notes placeholder present

0%

100%

Without context: $0.6019 · 2m 30s · 36 turns · 43 in / 7,774 out tokens

With context: $0.3430 · 1m 8s · 21 turns · 1,342 in / 3,174 out tokens

100%

75%

Mid-Career Mentoring: Tailored Meeting Agenda

Custom topic integration

Criteria
Without context
With context

Script invoked

100%

100%

Topics flag used

0%

100%

Comma-separated topics

0%

100%

Topics in output

0%

100%

Bullet point format

0%

100%

Output file flag

100%

100%

Output file present

100%

100%

Six core sections present

20%

100%

Prompts present

0%

100%

Notes placeholders present

0%

100%

Without context: $0.3893 · 1m 27s · 24 turns · 30 in / 5,035 out tokens

With context: $0.2516 · 53s · 17 turns · 1,156 in / 2,499 out tokens

100%

64%

Quarterly One-on-One Agenda Preparation

Multi-phase batch agenda generation

Criteria
Without context
With context

Script used for each

100%

100%

Phase 'early' used

0%

100%

Phase 'mid' used

0%

100%

Phase 'late' used

0%

100%

Early Stage label

0%

100%

Mid Stage label

0%

100%

Late Stage label

0%

100%

Three output files

100%

100%

Output flag used

100%

100%

Sections in all agendas

0%

100%

No extra packages

100%

100%

Without context: $0.3230 · 1m 33s · 17 turns · 19 in / 5,372 out tokens

With context: $0.3564 · 1m 12s · 22 turns · 1,160 in / 3,819 out tokens

Repository
aipoch/medical-research-skills
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.