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Found 1,904 Skills
Retrieve stock price change statistics across multiple time periods using Octagon MCP. Use when analyzing short-term and long-term returns, comparing performance across timeframes, and evaluating momentum and historical growth.
Compare leading tech stocks to distinguish hype-driven overvaluation from fundamentally justified pricing, and identify undervalued tech names the market is overlooking. Use when the user asks to evaluate tech stock valuations, find overvalued or undervalued tech companies, assess whether a tech stock's growth justifies its multiple, compare tech company fundamentals, analyze revenue growth vs. valuation, or identify mispriced technology stocks.
Analyze arguments, detect biases, evaluate claims, and improve reasoning. Use when asked to fact-check, identify logical fallacies, evaluate arguments, analyze predictions, find root causes, or think adversarially about plans. Triggers include "evaluate this argument", "logical fallacies", "fact check", "analyze the claims", "identify biases", "devil's advocate", "red team this", "root cause".
Paper reviewer that evaluates machine learning research projects following official ICML reviewer guidelines. Provides comprehensive reviews with actionable feedback across all key dimensions: claims/evidence, relation to prior work, originality, significance, clarity, and reproducibility. Also provides formative feedback on incomplete drafts, proposals, and research code repositories. MANDATORY TRIGGERS: review paper, ICML review, paper review, evaluate paper, research paper feedback, ML paper review, conference review, academic review, paper critique, NeurIPS review, ICLR review, project proposal, research proposal, paper draft, early feedback, incomplete paper, work in progress, WIP review, review repo, review codebase, research project review
This skill should be used when the user asks to review, proofread, check, or evaluate content. It provides comprehensive text review (grammar, logic, compliance) and version evaluation (A/B testing, comparison analysis). Text review automatically adds AI disclaimer at the end.
Analyzes events through economic lens using supply/demand, incentive structures, market dynamics, and multiple schools of economic thought (Classical, Keynesian, Austrian, Behavioral). Provides insights on market impacts, resource allocation, policy implications, and distributional effects. Use when: Economic events, policy changes, market shifts, financial crises, regulatory decisions. Evaluates: Incentives, efficiency, opportunity costs, market failures, systemic risks.
Execute tasks through systematic exploration, pruning, and expansion using Tree of Thoughts methodology with multi-agent evaluation
Use this skill when the user asks for a review, audit, evaluation or analysis of a codebase, to identify bugs, security vulnerabilities, performance bottlenecks, or code quality concerns.
Turn rough ideas into structured, validated idea documents through collaborative dialogue. Explores context, asks clarifying questions one at a time, proposes alternative approaches with feasibility evaluation, and produces documents ready for requirements definition. Use when: "ideation", "brainstorm", "new idea", "explore an idea", "I want to build", "what if we", "let's think about", "propose approaches", "evaluate this idea", "idea document", "アイデア出し", "案出し", "ブレスト", "アイデアを整理", "検討したい".
Teaches learners to extract transferable design lessons from real-world codebases through critical evaluation and systematic exploration. Use when a learner wants to study existing code to learn patterns, architecture, or design decisions—not just understand what it does. Guides through navigation, pattern recognition, critical evaluation (deliberate choice vs. compromise), and lesson extraction. Triggers on phrases like "learn from this codebase", "study how X is implemented", "understand design patterns in Y", or when a learner wants to improve by reading real code.
Benchmark any agent skill to measure whether it actually improves performance. Use when the user wants to evaluate, test, or compare a skill against baseline, or when they mention "benchmark", "eval", "skill performance", or "does this skill help". Runs isolated eval sessions with and without the skill, grades outputs via layered grading (deterministic checks + LLM-as-judge), analyzes behavioral signals, and generates a comparison report with a USE / DON'T USE verdict.
M&A strategy for acquiring companies or being acquired. Covers strategic rationale assessment, target screening, due diligence frameworks, valuation methodologies, deal structure, negotiation strategy, integration planning, and post-acquisition execution. Use when evaluating acquisitions, preparing to be acquired, conducting due diligence, planning integration, negotiating deal terms, or when user mentions M&A, acquisition, merger, acqui-hire, due diligence, valuation, LOI, earnout, integration, or deal structure.