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Found 1,945 Skills
Invoke this skill when a user shares test code and questions whether it actually works as intended — not to run or fix the test, but to evaluate whether the test has real value. Triggers on: "is this test any good?", "would this catch a real bug?", "this test always passes — is that normal?", "review these tests before I commit", or "does this test verify anything meaningful?". Also triggers when someone suspects a test is useless, wants a pre-commit quality gate, or is unsure if an auto-generated test is worth keeping. The core question this skill answers: "Would this test fail if the feature broke?" If not, the test gets rejected. Do NOT use for generating new tests, fixing failing tests, or exploring application features.
Analyze competitor pricing strategies across e-commerce platforms. Map price positions, identify pricing gaps, evaluate price elasticity signals, and develop data-driven pricing strategies.
Generates a Jupyter notebook that transforms datasets between ML schemas for model training or evaluation. Use when the user says "transform", "convert", "reformat", "change the format", or when a dataset's schema needs to change to match the target format — always use this skill for format changes rather than writing inline transformation code. Supports OpenAI chat, SageMaker SFT/DPO/RLVR, HuggingFace preference, Bedrock Nova, VERL, and custom JSONL formats from local files or S3.
Use when the user needs prompt design, optimization, few-shot examples, chain-of-thought patterns, structured output, evaluation metrics, or prompt versioning. Triggers: new prompt creation, prompt optimization, few-shot example design, structured output specification, A/B testing prompts, evaluation framework setup.
End-to-end real estate investment analysis skill. Use when users ask to analyze a property deal, run the numbers on a rental, evaluate real estate investments, build a pro forma, compare markets, calculate cap rate, cash-on-cash return, IRR, NOI, DSCR, equity multiple, or GRM. Also triggers on: BRRRR analysis, house hack evaluation, short-term rental (STR/Airbnb) analysis, commercial underwriting, multifamily deal analysis, syndication waterfall modeling, Monte Carlo simulation for real estate, sensitivity analysis on a deal, 1031 exchange planning, cost segregation analysis, depreciation calculations, real estate tax strategy, market comparison and scoring, rental property screening, deal screening, investor report generation, real estate financial modeling, property type comparison, rent-to-price analysis, development feasibility, land analysis, value-add underwriting, API integration for real estate data (Zillow, Redfin, AirDNA, Mashvisor, ATTOM, Rentcast, Census), or any real estate investment financial analysis task.
Analyze HTTP security headers of web domains to identify vulnerabilities and misconfigurations. Use when you need to audit website security headers, assess header compliance, or get security recommendations for web applications. Trigger with phrases like "analyze security headers", "check HTTP headers", "audit website security headers", or "evaluate CSP and HSTS configuration".
Root-cause-driven solution decision framework for the hardest problems across any domain. This is the nuclear option — it consumes significant tokens through exhaustive multi-branch root cause analysis, MECE solution enumeration, and domain-adaptive external validation. Use ONLY for genuinely difficult problems: recurring failures that resist repeated fix attempts, complex systemic issues with no clear solution path, decisions where multiple approaches exist and the wrong choice has high cost, problems with multiple interacting causes spanning components or teams. Trigger when: the user says 'what's the best way to fix X', 'why does this keep happening', 'how should we approach this', 'find the root cause', 'what are my options for fixing X', 'analyze this problem systematically', 'evaluate our options for X', 'what's the right approach and why', or expresses frustration that previous solutions didn't stick. Do NOT use for: problems where the answer is already obvious or requires no analysis, straightforward issues with clear solutions, or routine investigation. If the problem can be solved in 5 minutes of investigation, this skill is overkill.
Use when evaluating whether a skill belongs in a library. Preview content, check frontmatter, validate structure, and decide whether to keep, curate, or remove.
Analyze your competitive landscape using Porter's Five Forces and modern frameworks—understand industry dynamics, identify strategic opportunities, and position your business for sustainable advantage. Use when: **Evaluate an industry** before entering or investing; **Understand competitive dynamics** in your market; **Identify strategic opportunities** based on industry structure; **Assess threats** from competitors, new entrants, or substitutes; **Develop positioning strategy** relative to ...
Spring Boot 3.x - Java framework for production-ready applications with dependency injection, REST APIs, data access, security, and actuator monitoring
Plan and manage cash flow to ensure adequate liquidity while minimizing opportunity cost of excess cash. Use when the user asks about cash flow forecasting, CD or bond laddering, liquidity tiers, income smoothing for variable earners, or sweep strategies. Also trigger when users mention 'T-bill ladder', 'where to park cash', 'irregular income budgeting', 'freelancer cash management', 'lumpy expenses', 'liquidity ratio', 'how much cash to hold', or ask how to plan for large upcoming expenses.
Agent harness architecture — structure a project's agent context across layers for effective AI-assisted development. Covers CLAUDE.md, skills, design docs, hooks, and all artifacts that shape how an agent understands and operates in a codebase. Use when setting up or improving a project's agent configuration, when agent context feels bloated or disorganized, when onboarding a new project for AI-assisted development, or when the agent keeps losing architectural awareness mid-task. Trigger on phrases like "set up claude", "improve CLAUDE.md", "agent keeps forgetting", "context is too long", "harness setup", "organize agent context", "how should I structure my prompts". Supports arguments: `/harness audit` to evaluate an existing project's context architecture, `/harness init` to set up harness from scratch.