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single-cell-research-planner

Designs complete single-cell research plans from a user-provided biomedical direction. Always use this skill whenever a user wants to design, scope, or structure a single-cell study — including disease-focused, mechanism-focused, biomarker-focused, translational, perturbation-inspired, or validation-aware projects. It should define the research question, choose the best-fit study pattern, recommend sample grouping logic, suggest reference datasets as examples only, specify the core analysis modules, propose a validation ladder, and output four workload configurations (Lite / Standard / Advanced / Publication+). Never fabricate datasets, sample metadata, accession numbers, cohort availability, cell-type labels, external validation resources, or literature references. Always include the mandatory Dataset Disclaimer immediately before any workflow section that mentions datasets or public resources.

67

Quality

81%

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SKILL.md
Quality
Evals
Security

Quality

Content

71%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-structured, instruction-only planning skill with clear sequencing, an explicit validation gate, and excellent progressive disclosure via real reference files. The main weakness is redundancy across the cautionary sections, which inflates length without adding new guidance.

Suggestions

Consolidate the overlapping cautionary content in 'Core Function (should not)', 'Hard Rules', and 'What This Skill Should Not Do' into a single canonical rules section to remove restated bullets.

Merge 'Quality Standard' into 'Core Function' since both describe the same desired output properties.

Add an explicit validate-fix-retry loop around Step 5 (e.g., if the dependency check fails, revise and re-check before proceeding) to push workflow clarity higher.

DimensionReasoningScore

Conciseness

The body is mostly operational rather than padded with concepts Claude already knows, but cautionary content is restated across 'Core Function', 'Hard Rules', 'What This Skill Should Not Do', and 'Quality Standard', so several sections could be consolidated.

3 / 5

Actionability

Provides a concrete mandatory output structure (Sections A–L) with specific fields to fill and explicit hard rules, though the detailed method/tool choices are deferred to the reference files.

4 / 5

Workflow Clarity

A clear ordered 7-step sequence includes an explicit validation checkpoint (Step 5 dependency-consistency check before output) and a closing risk review, but lacks a validate-fix-retry feedback loop.

4 / 5

Progressive Disclosure

The body is an overview that signals nine one-level-deep reference files, each tied to a specific output section, and all referenced paths exist in the bundle with clear navigation.

5 / 5

Total

16

/

20

Passed

Description

92%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, third-person description that clearly states capabilities, trigger conditions, and output artifacts while carving out a distinct niche. Minor improvement would come from adding common synonyms like 'scRNA-seq'.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'define the research question, choose the best-fit study pattern, recommend sample grouping logic, suggest reference datasets... specify the core analysis modules, propose a validation ladder, and output four workload configurations' — giving comprehensive coverage of capabilities.

5 / 5

Completeness

Explicitly answers both what ('Designs complete single-cell research plans...') and when ('Always use this skill whenever a user wants to design, scope, or structure a single-cell study') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Good natural trigger coverage with 'design, scope, or structure a single-cell study' plus project-type keywords (disease/mechanism/biomarker/translational), but omits common synonyms users say such as 'scRNA-seq' or 'single-cell RNA sequencing'.

4 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (single-cell research plan design) with distinct triggers and specific output artifacts (four workload configurations, validation ladder), making conflict with other skills minimal.

5 / 5

Total

19

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
aipoch/medical-research-skills
Reviewed

Table of Contents

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