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Found 2,053 Skills
Use this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation tasks including solving equations algebraically, performing calculus operations (derivatives, integrals, limits), manipulating algebraic expressions, working with matrices symbolically, physics calculations, number theory problems, geometry computations, and generating executable code from mathematical expressions. Apply this skill when the user needs exact symbolic results rather than numerical approximations, or when working with mathematical formulas that contain variables and parameters.
Audit npm, pip, and Go dependencies that OpenClaw skills try to install. Checks for known vulnerabilities, typosquatting, and malicious packages.
Create structured handoff for session continuation. Triggers: handoff, pause, save context, end session, pick up later, continue later.
Range bar evaluation metrics for quant trading. TRIGGERS - range bar metrics, Sharpe ratio, WFO metrics, PSR DSR MinTRL.
Use when user needs system design validation, architectural pattern assessment, or technology stack evaluation.
Deep multi-framework reasoning using Gemini. Use for complex problem analysis, challenging ideas, and evaluating multiple options with structured thinking.
Evaluate Figma designs from operator persona perspectives through design critique and user experience evaluation. Use when reviewing UX for specific user roles (e.g., air-surveillance-tech, weapons-director), conducting design reviews, or evaluating operator interfaces. Analyzes cognitive load, communication patterns, pain points, and system visibility. Works with Figma MCP (desktop/URL) and Outline docs.
Evaluate and improve user experience of interfaces (CLI, web, mobile)
Evaluate third-party agent skills for security risks before adoption or update. Use when: (1) Installing or updating a skill from skills.sh, ClawHub, or any public registry, (2) Auditing skills for security risks or reviewing PRs that add/update skill dependencies, (3) Building a team/org allowlist of approved skills, (4) Investigating suspicious skill behavior or answering "is this skill safe?" / "should we adopt this skill?"
Use this skill for ANY question about creating test or evaluation datasets for LangChain agents. Covers generating datasets from traces (final_response, single_step, trajectory, RAG types), uploading to LangSmith, and managing evaluation data.
Designs multi-agent system architectures with orchestration patterns, tool schemas, and performance evaluation. Use when building AI agent systems, designing agent workflows, creating tool schemas, or evaluating agent performance.
Perform a PESTLE analysis covering Political, Economic, Social, Technological, Legal, and Environmental factors. Use when assessing the macro environment, doing strategic planning, or evaluating external factors affecting your business.