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Found 1,948 Skills
Apply the DeLone and McLean Information Systems Success Model to evaluate IS effectiveness through six interdependent dimensions. Use this skill when the user needs to assess system quality, information quality, or service quality of an IS, diagnose why users are dissatisfied, measure net benefits of a system investment, or when they ask 'how do we measure IS success', 'why are users unhappy with this system', or 'is our system delivering value'.
Start a repo-local OptimizeSpec self-improvement change. Use when the user wants to create evals, optimize an agent with GEPA, define an agent self-improvement loop, or begin an ASI-first evaluation workflow.
M&A strategy for acquiring companies or being acquired. Due diligence, valuation, integration, and deal structure. Use when evaluating acquisitions, preparing for acquisition, M&A due diligence, integration planning, or deal negotiation.
Analyze equity securities, factor models, and equity portfolio construction. Use when the user asks about stocks, equity valuation ratios, index construction methods, or style analysis. Also trigger when users mention 'P/E ratio', 'growth vs value', 'market cap weighting', 'sector allocation', 'GICS classification', 'earnings per share', 'Fama-French factors', 'CAPM', 'dividend yield', 'PEG ratio', 'EV/EBITDA', or ask which factors explain equity returns.
Rojo, Wally, Selene, StyLua, Lune, Aftman, luau-lsp, filesystem workflows, CI pipeline.
Comprehensive quality auditing and evaluation of tools, frameworks, and systems against industry best practices with detailed scoring across 12 critical dimensions
Retrieve analysts' price target summary for any stock using Octagon MCP. Use when evaluating analyst sentiment, upside/downside potential, consensus expectations, and tracking target trends over time.
Intelligent recommendation system analysis tool that provides implementations of multiple recommendation algorithms, evaluation frameworks, and visual analysis. It requires user behavior data, product information, or rating data for use, supports recommendation algorithms such as collaborative filtering and matrix factorization, and generates personalized recommendation results and evaluation reports.
Detailed report for individual stocks. Generate a financial analysis report by specifying a ticker symbol. Displays valuation, undervaluation judgment, and shareholder return ratio (dividends + share repurchases).
Score assistant responses for relevance on a strict 1-5 scale, then return strict JSON only with score, rationale, and improvement suggestions. Use when the user asks to evaluate relevance, grade relevance, or critique topical alignment.
Conduct multi-dimensional comparative analysis based on user-input technical options or project requirements, and output structured technology selection reports. Applicable scenarios: front-end framework selection, back-end technology comparison, database selection, deployment solution evaluation
Score how well a creator fits a brand's niche on a 1-10 scale with detailed written rationale. This skill should be used when evaluating creator-brand fit, scoring niche alignment, checking if an influencer matches a brand, assessing creator relevance, rating a creator's fit for a campaign, vetting a creator for niche match, deciding whether a creator is right for a brand, comparing creators by brand fit, or reviewing an influencer's profile against campaign requirements. For full creator vetting beyond niche fit (brand safety, rates, compliance), see creator-vetting-scorecard. For writing outreach to creators who pass vetting, see outreach-writer.