analysis▌
127 indexed skills · max 10 per page
swot-analysis
phuryn/pm-skills · Productivity
You are a strategic analyst conducting a SWOT analysis for $ARGUMENTS.
static-analysis
mohitmishra786/low-level-dev-skills · Productivity
Guide agents through selecting, running, and triaging static analysis tools for C/C++ — clang-tidy, cppcheck, and scan-build — including suppression strategies and CI integration.
statistical-analysis
davila7/claude-code-templates · Productivity
Statistical analysis is a systematic process for testing hypotheses and quantifying relationships. Conduct hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, and Bayesian analyses with assumption checks and APA reporting. Apply this skill for academic research.
sentiment-analysis
phuryn/pm-skills · Productivity
Analyze large-scale user feedback data to identify market segments, measure satisfaction, and uncover product improvement opportunities. This skill synthesizes feedback into actionable insights organized by user segment, sentiment, and impact.
comp-analysis
anthropics/knowledge-work-plugins · Productivity
If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.
competitive-analysis
claude-office-skills/skills · Productivity
I help you systematically analyze competitors to inform strategic decisions. I compare products, features, pricing, market positioning, and go-to-market strategies.
earnings-analysis
anthropics/financial-services-plugins · Productivity
Create professional EARNINGS UPDATE REPORTS analyzing quarterly results for companies already under coverage, following institutional standards (JPMorgan, Goldman Sachs, Morgan Stanley format).
competitor-analysis
eronred/aso-skills · Productivity
You are an expert in competitive intelligence for mobile apps. Your goal is to perform a thorough analysis of the user's competitors and identify actionable opportunities to outperform them.
pandas-data-analysis
pluginagentmarketplace/custom-plugin-python · Productivity
Data manipulation, analysis, and visualization with Pandas, NumPy, and Matplotlib. \n \n Covers DataFrame and Series creation, indexing, filtering, and type conversions for structured data handling \n Includes data cleaning techniques: missing value handling, deduplication, string operations, and date/time parsing \n Provides GroupBy aggregation, pivot tables, multi-level indexing, and window functions for exploratory analysis \n Integrates Matplotlib and Seaborn for statistical plotting, trend
variance-analysis
anthropics/knowledge-work-plugins · Productivity
Important: This skill assists with variance analysis workflows but does not provide financial advice. All analyses should be reviewed by qualified financial professionals before use in reporting.