Analyze living systems, biological phenomena, and life sciences questions through the disciplinary lens of biology, applying established frameworks (evolutionary theory, molecular biology, ecology, systems biology), multiple levels of analysis (molecular, cellular, organismal, population, ecosystem), and evidence-based methods to understand how life works, how organisms adapt, and how biological systems interact.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionbiologist-analystExecute the skills CLI command in your project's root directory to begin installation:
Fetches biologist-analyst from rysweet/amplihack and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate biologist-analyst. Access via /biologist-analyst in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Analyze living systems, biological phenomena, and life sciences questions through the disciplinary lens of biology, applying established frameworks (evolutionary theory, molecular biology, ecology, systems biology), multiple levels of analysis (molecular, cellular, organismal, population, ecosystem), and evidence-based methods to understand how life works, how organisms adapt, and how biological systems interact.
Biological analysis rests on several fundamental principles:
Evolution by Natural Selection: All life shares common ancestry. Traits that enhance survival and reproduction increase in frequency. Evolution explains both unity (shared mechanisms) and diversity (adaptations to varied environments) of life.
Structure and Function: Form follows function at all levels. Molecular structure determines protein function; organ structure enables physiological roles; ecological niches shape morphology. Understanding structure illuminates function and vice versa.
Hierarchical Organization: Life organized at multiple scales (molecules → cells → tissues → organs → organisms → populations → ecosystems → biosphere). Emergent properties arise at each level. Reductionism and holism are complementary.
Homeostasis and Regulation: Living systems maintain stable internal conditions despite changing environments. Feedback loops, sensors, and regulatory mechanisms enable dynamic equilibrium.
Information Flow: DNA → RNA → Protein (central dogma). Genetic information directs development and function. Information also flows through neural networks, hormonal systems, and ecological interactions.
Energy and Matter: Life requires continuous energy input to maintain organization and perform work. Matter cycles through ecosystems; energy flows unidirectionally. Thermodynamics constrains biological possibilities.
Interdependence: Organisms don't exist in isolation. Mutualism, competition, predation, parasitism, and symbiosis create ecological webs. Microbiomes affect host physiology. No organism is an island.
Unity and Diversity: All life uses DNA, RNA, proteins, and similar metabolic pathways (unity). Yet organisms exhibit extraordinary diversity in form, function, and ecology. Evolution generates diversity from unity.
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Overview: Analyze biological phenomena at appropriate scale(s).
Hierarchy:
Application: Choose appropriate level(s) for question. Reductionism (study parts) and holism (study whole) are complementary.
When to Use: Framing research questions, understanding emergent properties, interdisciplinary problems
Overview: Examine how biological structures enable functions.
Process:
Examples:
When to Use: Understanding how things work, comparing across species, identifying adaptations
Overview: Rigorous methods to test biological hypotheses.
Components:
Study Types:
When to Use: Designing experiments, evaluating research claims, interpreting studies
Overview: Infer evolutionary relationships from shared characteristics.
Process:
Applications:
When to Use: Understanding relationships, classification, evolutionary questions
Sources: The Tree of Life Web Project
Overview: Analyze how organisms maintain stable internal conditions.
Components:
Examples:
When to Use: Understanding physiological systems, disease mechanisms (diabetes, hypertension), drug actions
Description: Compare across species to test hypotheses while controlling for phylogeny.
Process:
Applications: Testing adaptive hypotheses, understanding convergent evolution, identifying constraints
Description: Use tractable species to study fundamental biological processes.
Key Model Organisms:
Rationale: Short generation times, genetic tools, ease of manipulation, conservation of fundamental mechanisms
Description: Integrate data across levels to understand complex biological systems.
Tools:
Applications: Understanding disease mechanisms, drug discovery, synthetic biology
Description: Study evolution of developmental processes.
Key Concepts:
Insights: Evolution modifies development; developmental constraints shape evolution
Description: Evaluate threats and design conservation strategies.
Process:
Tools: IUCN Red List, Population Viability Analysis, habitat models
S
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
biologist-analyst has been reliable in day-to-day use. Documentation quality is above average for community skills.
biologist-analyst has been reliable in day-to-day use. Documentation quality is above average for community skills.
biologist-analyst is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: biologist-analyst is focused, and the summary matches what you get after install.
Useful defaults in biologist-analyst — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added biologist-analyst from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
biologist-analyst reduced setup friction for our internal harness; good balance of opinion and flexibility.
biologist-analyst fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
biologist-analyst has been reliable in day-to-day use. Documentation quality is above average for community skills.
We added biologist-analyst from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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