Results for “analysis”

当需要解构一个复杂系统（如品牌、产品、知识体系）以理解其组成部分及结构时

Discounted cash flow valuation with sensitivity analysis

"Feature importance" is ambiguous.

Weekly competitive landscape monitoring and analysis

Runs a Trailmark summary analysis on a codebase to auto-detect languages, count entry points, and list dependencies.

Plan and execute large refactor or rewrite efforts efficiently with parallel multi-agent analysis and implementation.

Executes Python code iteratively via an MCP bridge to produce verified results for calculations, data analysis, and task decomposition.

Analyzes codebases in depth and produces structured markdown analysis documents covering architecture, module design, call flows, data models, and design patterns.

Executes Python code iteratively via an MCP bridge to produce verified results for calculations, data analysis, and task decomposition.

Provides a structured debugging workflow for diagnosing errors, test failures, and unexpected behavior, including root cause analysis and verification steps.

Single-cell RNA-seq analysis. Load .h5ad/10X data, QC, normalization, PCA/UMAP/t-SNE, Leiden clustering, marker genes, cell type annotation, trajectory, for scRNA-seq analysis.

Routes reverse engineering, exploitation, penetration testing, malware, mobile, firmware, browser automation, documentation, and security tasks to the appropriate specialist skill. Use when a task spans modules or the correct reverse-skill entrypoint is unclear.

Helps find and analyze competitors to imitate using a five-filter method, focusing on profitability and feasibility while eliminating personal bias.

Chains /mvp and /backend-spec to analyze an app from video, screenshots, or description, then generate implementation stories from the analysis.

Guides systematic debugging by investigating root causes before proposing fixes, with structured phases for analysis, hypothesis testing, and implementation.

Perform a PESTLE analysis covering Political, Economic, Social, Technological, Legal, and Environmental factors. Use when assessing the macro environment, doing strategic planning, or evaluating external factors affecting your business.

Analyze scraped webpage content to identify section boundaries and content sequences for AEM Edge Delivery Services import.

Reverse engineers stripped Go and Rust binaries by recovering runtime metadata, symbols, panic strings, and idiomatic decompilation patterns.

Run pathway and gene-set enrichment analysis on gene lists or ranked gene data, then interpret the results. Covers over-representation analysis (ORA), Gene Set Enrichment Analysis (GSEA), and single-sample scoring using gseapy, g:Profiler, and Enrichr libraries.

Creates custom Semgrep rules for detecting security vulnerabilities, bug patterns, and code patterns with proper testing and validation.

Query 20+ bioinformatics databases from the command line or Python for gene information, sequences, protein structures, enrichment analysis, and more.

Detects ransomware encryption activity in real time using entropy analysis, file system I/O monitoring, and behavioral heuristics.

Measures code quality, identifies code smells, and implements quality gates using static analysis and technical debt tracking.

Interactive knowledge graph analysis. Routes natural language questions to graph scripts, interprets results in domain vocabulary, and suggests concrete actions. Triggers on "/graph", "/graph health", "/graph triangles", "find synthesis opportunities", "graph analysis".

Performance profiling principles. Measurement, analysis, and optimization techniques.

Trading comparables analysis with peer multiples and implied valuation

Expert-guided brainstorming and ideation session. Phase 1 Analysis

Manage CAPA investigations, root cause analysis, corrective action planning, and effectiveness verification for medical device quality management systems.

Evaluate macro-environmental factors across Political, Economic, Social, Technological, Legal, and Environmental dimensions for strategic planning and market entry assessment.

Analyzes code for logical errors, race conditions, security vulnerabilities, and algorithmic flaws using structured reasoning across 9 risk categories.

Detect and extract hidden data embedded in images, audio, and other media files using steganalysis tools to uncover covert communication channels.

Extracts specifications from existing codebases by analyzing structure, data flows, and observable behaviors to document requirements in EARS format.

Master memory forensics techniques including memory acquisition, process analysis, and artifact extraction using Volatility and related tools. Use when analyzing memory dumps, investigating incidents, or performing malware analysis from RAM captures.

Runs Semgrep static analysis with custom YAML rules, supporting taint tracking, metavariable comparisons, and pattern-not-inside exclusions for precise vulnerability detection.

Performs structured code reviews of git branches, tracking findings in a living document and optionally running deep architectural analysis with subagents.

Orchestrate parallel scientist agents for comprehensive analysis with AUTO mode