flow-cytometry-gating-strategist

Recommend optimal flow cytometry gating strategies for specific cell types and fluorophores

1.83x

Quality

41%

Does it follow best practices?

Impact

99%

1.83x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./scientific-skills/Data analysis/flow-cytometry-gating-strategist/SKILL.md

Evaluation results

100%

61%

T Cell Subset Immunophenotyping Protocol

Script invocation and JSON output

Criteria

Without context

With context

Script used

16%

100%

Cell types comma-separated

100%

Fluorophores comma-separated

100%

Output saved to file

100%

Valid JSON output

100%

recommended_strategy field

100%

fluorophore_recommendations field

100%

panel_optimization field

100%

compensation_notes field

100%

quality_control field

100%

No external packages

100%

Without context: $0.5738 · 2m 40s · 28 turns · 79 in / 8,833 out tokens

With context: $0.4338 · 56s · 19 turns · 9,343 in / 2,748 out tokens

100%

33%

Hematopoietic Stem Cell Isolation Protocol Recommendation

Purpose and instrument parameters

Criteria

Without context

With context

Script used

30%

100%

Cell sorting purpose

100%

Instrument specified

93%

100%

HSC cell type used

90%

100%

Fluorophores correct

70%

100%

Output saved to file

93%

100%

Valid JSON output

100%

Sorting QC in checklist

100%

Without context: $1.2388 · 5m 13s · 40 turns · 533 in / 16,880 out tokens

With context: $0.4882 · 1m 23s · 21 turns · 9,379 in / 3,755 out tokens

99%

40%

Tumor Infiltrating Lymphocyte Panel Design

Multi-color panel spillover analysis

Criteria

Without context

With context

Script used

40%

100%

All 6 fluorophores included

53%

100%

Cell types comma-separated

100%

Output saved to file

100%

Valid JSON output

100%

compensation_notes populated

100%

panel_optimization present

40%

100%

Spillover pairs in summary

100%

Avoid combinations documented

100%

90%

No external packages

100%

Without context: $0.9403 · 4m · 33 turns · 37 in / 13,357 out tokens

With context: $0.4203 · 1m 12s · 17 turns · 22 in / 3,754 out tokens

Repository: aipoch/medical-research-skills
Commit: ca9aaa4

Evaluated: 17 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

T Cell Subset Immunophenotyping Protocol Hematopoietic Stem Cell Isolation Protocol Recommendation Tumor Infiltrating Lymphocyte Panel Design

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