Results for “analysis”

Fit probabilistic models to single-cell measurements for integration across experiments, cell annotation, combined RNA and protein or ATAC analysis, and gene expression comparisons. The skill covers input requirements, training checks, reference mapping, and interpretation of model uncertainty.

• Integrating single-cell RNA data across experimental batches
• Assigning cell labels using partial annotations or a reference
• Analyzing RNA with protein or ATAC measurements

Create, review, migrate, and simulate Python liquid-handling protocols for Opentrons Flex and OT-2 robots. Covers deck layout, labware, pipettes, modules, volumes, and tip policies, with checks for Opentrons App analysis and operator review before physical runs.

• Draft liquid-transfer or serial-dilution protocols
• Review deck layout, volumes, and tip changes
• Update older protocols for supported API versions

Turn observations or preliminary findings into testable research plans. The skill separates candidate hypotheses from evidence, develops competing explanations and distinguishing predictions, and helps specify measurements and analysis plans for preregistration, a research plan recorded before testing.

• Turn an observation into testable research hypotheses
• Compare competing explanations and distinguishing predictions
• Define measurements and review an analysis plan

Process DNA, RNA, and protein sequences with Biopython, convert biological files, and retrieve NCBI records. Supports batch workflows for sequence comparison, searches for similar sequences, protein structure analysis, and evolutionary trees.

• Convert GenBank files to FASTA
• Calculate sequence length and GC content in batches
• Retrieve sequences and publication records from NCBI

Manage scientific datasets with DataLad and git-annex, which tracks large files separately from Git history. Retrieve selected data, record analysis commands and their inputs and outputs, rerun recorded work, and publish history alongside file content.

• Retrieve only the research data you need
• Resolve files that contain pointers instead of data
• Record and rerun analysis steps

Build Java applications that analyze images with Azure AI Vision. Covers image descriptions, OCR for reading text, object and person detection, content tags, and suggested crop regions, with examples for authentication and handling results.

• Adding image descriptions to a Java application
• Extracting text from document images
• Detecting objects and people with their locations

Assess the impact of code changes with GitNexus by tracing callers, dependencies, and affected execution flows. Check existing changes and report their scope, risk, and uncertainty before editing or committing.

• Checking the impact of changing a function
• Finding code that depends on a target
• Reviewing affected flows before committing

Route authorized reverse engineering, security analysis, CTF challenge, and defensive testing requests to specialist skills in a local repository. This Codex adapter selects the relevant workflow and checks the task scope before target actions begin.

• Selecting a specialist skill for reverse engineering
• Starting security analysis with a defined scope
• Routing CTF challenge tasks to a suitable workflow

Analyze suspected malware through code inspection and behavior observed in an isolated environment. Extract indicators of compromise, such as suspicious domains and file paths, and create YARA file-matching rules or Sigma behavior-detection rules from the findings.

• Investigating suspicious executables, scripts, and macros
• Extracting malicious domains, file paths, and other indicators
• Creating YARA and Sigma detection rules

Compare competitors, pricing, and market positions to identify differentiation options. Use structured analysis and positioning maps, which compare businesses on key customer priorities, to assess market entry choices and whether competitive advantages can last.

• Comparing competitors' products, prices, and sales approaches
• Mapping market positions to find unmet customer needs
• Choosing an initial target segment for market entry

Estimate a venture’s market size using industry reports, customer counts and pricing, or willingness to pay. Organize results into total, serviceable, and realistically obtainable revenue opportunities to support business planning and investor presentations.

• Estimating the market size for a new venture
• Assessing revenue potential for a customer segment
• Preparing market analysis for an investor pitch

Analyze customer profitability and revenue durability for SaaS, subscription, and other recurring businesses. Examine acquisition costs, retention, and revenue trends by customer group, then produce an Excel workbook, summary slide, and issues for further investigation.

• Assessing recurring revenue quality in an investment target
• Tracking revenue by customer acquisition year
• Comparing acquisition costs with customer lifetime value

Model how an acquisition changes the buyer’s earnings per share. Compare purchase prices, cash and stock payment mixes, and synergy assumptions, then produce an Excel workbook and a one-page summary of the deal’s financial effects.

• Estimating how an acquisition changes earnings per share
• Comparing cash and stock payment mixes
• Testing purchase premiums and synergy assumptions

Prepare spreadsheet data for analysis by finding extra spaces, inconsistent capitalization, numbers stored as text, mixed date formats, and duplicates. Review proposed fixes, apply traceable formula-based changes, and compare results before and after cleanup.

• Cleaning spreadsheet data before analysis
• Standardizing dates and text capitalization
• Finding duplicate rows and mixed data types

Create quarterly earnings reports for companies already being followed. Compare results with market expectations, explain differences, revise forecasts, and assess the investment case in a Word document with charts, summary tables, and linked sources.

• Writing a report after a quarterly earnings release
• Explaining results above or below market expectations
• Revising forecasts after new company guidance

Set up CodeQL security scanning in GitHub Actions or with the local CLI. Get guidance on language settings, build steps, analysis rules, result uploads, and troubleshooting so you can configure scans and interpret their findings.

• Adding security scans to GitHub Actions
• Running local scans with the CodeQL CLI
• Investigating failed builds or result uploads

Retrieve minute-level price data for stocks and cryptocurrencies, calculate average prices and volume patterns, and test intraday trading strategies. Configure the candle interval and trading costs to examine results using historical market data.

• Analyzing cryptocurrency price movements with minute candles
• Calculating volume-weighted and time-weighted average prices
• Comparing trading volume by hour

Investigate malicious code placed inside legitimate Windows processes using memory analysis, event logs, and API monitoring. Identify injection methods, examine extracted code, and produce evidence reports and detection rules for suspicious process behavior.

• Investigating unexpected connections from legitimate processes
• Finding injected code in memory dumps
• Classifying process hollowing and other injection methods

Investigate suspicious mobile apps by examining permissions, network traffic, and runtime behavior. Use observed evidence to identify signs of data theft, SMS interception, credential stealing, or communication with attacker control servers, then classify the suspected malware.

• Triaging suspicious APK or IPA samples
• Investigating possible data leaks from mobile apps
• Checking for SMS interception and credential theft

Investigate Windows malware that runs in memory or abuses legitimate system tools. Use logs, registry entries, and memory dumps to trace persistence, identify suspicious activity, and produce detection rules and an analysis report.

• Investigating suspicious PowerShell activity
• Checking WMI persistence mechanisms
• Finding malicious code in memory dumps

Examine Zeek connection logs for regular callbacks that may indicate communication with an attacker’s control server. Use ZAT and Pandas to group connections, measure timing variation, and identify source and destination pairs for further investigation.

• Hunting for periodic callbacks in Zeek connection logs
• Comparing connection timing across source and destination pairs
• Developing beaconing detection rules and hunting queries

Connect security incidents across organizations by comparing attack indicators, techniques, and timelines. Build relationship graphs and campaign reports that document shared evidence, attribution confidence, and indicators useful for detection.

• Linking incidents that share attack indicators
• Analyzing attacks across partner organizations
• Preparing reports on sustained attack campaigns

Assess cybersecurity risks using NIST SP 800-30 Rev 1 by examining threats, weaknesses, likelihood, and business impact. Produce a ranked risk register, a structured record of risks and recommended responses, with a summary for leadership.

• Preparing documented risk analysis for compliance frameworks
• Assessing a new system before launch
• Reporting the highest risks to leadership

Analyze a software bill of materials, an inventory of software components, against known vulnerability records. Trace indirect dependencies, assess risk, and produce reports that help teams prioritize fixes and review supplier software.

• Assessing vulnerabilities in vendor-provided software inventories
• Checking whether a newly disclosed CVE affects deployed software
• Adding SBOM vulnerability checks to CI/CD