Results for “analyze”

Analyze weekly price charts for stocks, indices, crypto, or forex to identify trends, support/resistance, and probabilistic scenarios based purely on chart data.

Analyzes recent market-moving news events and their impact on US equity markets and commodities, producing impact-ranked reports using web search and fetch tools.

Analyzes why a piece of content resonates with audiences using five classic communication theories, identifies the emotional core and effective stance, and outputs discussion directions for a chatroom.

Analyzes Vercel's design language, documenting its color system, typography, surface hierarchy, and gradient-based decorative system for use in design systems or brand analysis.

Detect AI-generated audio, images, video, and text, trace synthesis sources, apply watermarks, verify speaker identity, and analyze media intelligence using the Resemble AI platform.

Analyzes differences between two project versions to generate precise migration instructions for GitHub Copilot, enabling consistent code transformations during technology migrations, refactoring, or framework upgrades.

Analyzes music listening data from Apple Music or Spotify exports to build a taste profile, then generates personalized playlists with AI-generated songs and album covers.

Analyze malicious software to extract actionable indicators of compromise including file hashes, network indicators, registry modifications, and embedded strings, formatted as STIX 2.1 indicators.

Analyzes bootkit and rootkit malware that infects MBR, VBR, or UEFI firmware for pre-OS persistence, covering boot sector analysis, UEFI module inspection, and anti-rootkit detection.

Detect and analyze Linux persistence mechanisms including crontab entries, systemd service units, LD_PRELOAD hijacking, bashrc modifications, and authorized_keys backdoors using auditd and file integrity monitoring.

Detect and analyze covert communication channels used by malware, including DNS tunneling, ICMP exfiltration, and protocol abuse for C2 and data exfiltration.

Generates test files, creates mocking strategies, analyzes code coverage, designs test architectures, and produces test plans and defect reports across functional, performance, and security testing disciplines.

Automates reverse engineering of PE and ELF binaries by driving IDA with the WPeGPT plugin, producing structured reports on program purpose, network IoCs, suspicious functions, and vulnerability assessment.

Analyzes game balance by extracting stats from code and running mathematical simulations, including DPS tier lists, TTK matrices, EHP comparisons, economy stress tests, progression pacing, and Monte Carlo RNG simulations.

Analyzes test coverage across unit, integration, E2E, load, visual regression, contract, and accessibility dimensions, scores health, and routes remediation to specific testing sub-skills.

Use this when the system needs clear analysis of trusted versus untrusted execution contexts, external inputs, client/server boundaries, provider callbacks, or admin-level code paths. Trigger on requests about trust boundaries, attack surfaces, or where verification must happen.

Analyzes a multi-step conversion funnel in Adobe Customer Journey Analytics to find where users drop off and which steps have the worst leakage.

Analyzes UEFI bootkit persistence mechanisms including firmware implants, ESP modifications, Secure Boot bypass techniques, and UEFI variable manipulation. Covers detection of known bootkit families, forensic inspection, and integrity verification.

Analyzes RAM memory dumps from compromised systems using the Volatility framework to identify malicious processes, injected code, network connections, loaded modules, and extracted credentials.

Analyze Zeek conn.log and NetFlow data to detect ransomware network indicators including C2 beaconing, TOR exit node connections, data exfiltration, and suspicious DNS patterns.

Extract and analyze Cobalt Strike beacon configuration from PE files and memory dumps to identify C2 infrastructure, malleable profiles, and operator tradecraft.

Parse and analyze Cobalt Strike Malleable C2 profiles using dissect.cobaltstrike and pyMalleableC2 to extract C2 indicators, detect evasion techniques, and generate network detection signatures.

Analyze Linux system logs including auth.log, syslog, systemd journal, and auditd to reconstruct user activity, detect unauthorized access, and establish event timelines on compromised systems.

Code review automation for TypeScript, JavaScript, Python, Go, Swift, Kotlin. Analyzes PRs for complexity and risk, checks code quality for SOLID violations and code smells, generates review reports. Use when reviewing pull requests, analyzing code quality, identifying issues, generating review checklists.

Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo.

Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experiment results, checking if a test reached significance, interpreting split test data, or deciding whether to ship a variant.

Analyze content sequences from page structure to determine whether each should be default content or a specific block, and validate block selection for AEM Edge Delivery Services imports.

Build and analyze phylogenetic trees using MAFFT, IQ-TREE 2, and FastTree, with visualization via ETE3 or FigTree for evolutionary analysis, microbial genomics, viral phylodynamics, and molecular clock studies.

Analyze and engineer protein glycosylation by scanning sequences for N-glycosylation sequons, predicting O-glycosylation hotspots, and accessing curated glycoengineering tools for therapeutic antibody optimization and vaccine design.

Detect and analyze heap spray attacks in memory dumps using Volatility3 plugins to identify NOP sled patterns, shellcode landing zones, and suspicious large allocations in process virtual address space.

Automates packet capture analysis using tshark and pyshark to extract protocol statistics, detect suspicious flows, identify IOCs, and analyze DNS anomalies from PCAP files.

Analyzes the volatility smile and skew for a single options expiration, providing implied volatility curves, skew metrics, and shape classification to reveal market pricing of tail risk and directional fear.

Qiskit is the world's most popular open-source quantum computing framework with 13M+ downloads. Build quantum circuits, optimize for hardware, execute on simulators or real quantum computers, and analyze results. Supports IBM Quantum (100+ qubit systems), IonQ, Amazon Braket, and other providers.

Analyzes what is done and the users query and offers advice on what to do next. Use if user says what should I do next or what do I do now or I'm stuck or I don't know what to do

对一个软件项目或源码仓库进行全面调研，输出一份结构化的中文调研报告，让对项目不熟悉的人能够同时理解"它做什么"和"它怎么实现"。当用户说"调研这个项目 / 分析这个代码库 / 给我一份项目分析报告 / 我要全面理解这个项目 / 帮我看看这个仓库 / onboarding 一下 / 这个项目的整体架构是什么 / 给我梳理下这个源码"等等，或者把一个不熟悉的代码目录交给你并希望你给出全局认识时，必须使用本 skill。即使用户没有显式说"调研报告"，只要意图是"帮我搞懂一个完整的代码库 / 项目"，就应当触发。但本 skill 仅针对"全局理解 / 架构调研 / onboarding"场景：若用户只是要做 code review、定位某个 bug、评审某处具体实现、做性能或安全诊断，不要触发本 skill。

Qiskit is the world's most popular open-source quantum computing framework with 13M+ downloads. Build quantum circuits, optimize for hardware, execute on simulators or real quantum computers, and analyze results. Supports IBM Quantum (100+ qubit systems), IonQ, Amazon Braket, and other providers.