Agent skill

analyzing-flow-cytometry

Interprets flow cytometry panels for hematologic malignancy classification and minimal residual disease. Use when analyzing flow cytometry, classifying lymphomas/leukemias, or documenting immunophenotyping.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill analyzing-flow-cytometry --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 9 KB
Bundled scripts: none
Declared author: casemark
Path: skills/analysis/analyzing-flow-cytometry/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Analyzing Flow Cytometry Interprets flow cytometry panels for hematologic malignancy classification and minimal residual disease. ## Why This Skill Exists Flow cytometry is the cornerstone of hematologic malignancy diagnosis, classification, and monitoring. The WHO Classification of Haematolymphoid Tumours (5th edition, 2022) and the International Clinical Cytometry Society (ICCS) guidelines mandate immunophenotypic characterization for definitive diagnosis of leukemias, lymphomas, and myeloid neoplasms. Accurate gating, correct panel interpretation, and proper integration with morphology and molecular data determine whether a patient receives the right chemotherapy regimen, qualifies for targeted therapy, or is monitored for minimal residual disease (MRD). Errors in flow cytometry interpretation — misidentification of blast populations, failure to detect aberrant antigen expression, or incorrect T-cell vs. B-cell lineage assignment — lead to misclassification with direct therapeutic consequences. CAP accreditation (FLO checklist series) requires validated panels, documented gating strategies, and correlation with morphology. CLIA mandates that flow cytometry be performed under t

What's inside
Steps it walks through
  1. Why This Skill Exists
  2. Checkpoint A: Pre-Draft Intake (Mandatory)
  3. Documents to Request
  4. Step 1: Pre-Analytical Assessment and Quality Check
  5. Step 2: Gating Strategy and Population Identification
  6. Step 3: Immunophenotype Interpretation by Disease Category
  7. Acute Leukemia Classification
  8. Mature B-Cell Neoplasms — Key Discriminators
  9. MRD Detection
  10. Step 4: Integration with Morphology and Molecular Data
  11. Step 5: Report Construction
  12. Checkpoint B: Post-Draft Alignment (Mandatory)
  13. Quality Audit
  14. Guidelines
Ships with 1 file
  • metadata.json
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About this skill
What does the analyzing-flow-cytometry skill do?

Interprets flow cytometry panels for hematologic malignancy classification and minimal residual disease. Use when analyzing flow cytometry, classifying lymphomas/leukemias, or documenting immunophenotyping.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill analyzing-flow-cytometry --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going