Iconsax Library Skill
Extensive icon library and AI-driven icon generation skill for premium UI/UX design.
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Extensive icon library and AI-driven icon generation skill for premium UI/UX design.
Evaluates an idea by hosting a multi-turn debate between a Pro and Con agent, delivering a final verdict on whether it's worth pursuing.
Implement a piece of work based on a PRD or set of issues.
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
Investigate production issues, reproduce root causes, implement scoped fixes, and verify recovery using tests and observability.
Delivers changes incrementally. Use when implementing any feature or change that touches more than one file. Use when you're about to write a large amount of code at once, or when a task feels too big to land in one step.
Enforces a strict input boundary protocol (detect, classify, filter, verify) to ensure untrusted data never reaches business logic raw.
Draw out what the user actually wants with one-question-at-a-time interviews until intent is clear — before any plan, spec, or code exists.
33+ essential JavaScript concepts every developer should know, inspired by [33-js-concepts](https://github.com/leonardomso/33-js-concepts).
Master modern JavaScript with ES6+, async patterns, and Node.js APIs. Handles promises, event loops, and browser/Node compatibility.
Scaffold TypeScript projects with build tooling, type checking, testing, and configuration.
Master Julia 1.10+ with modern features, performance optimization, multiple dispatch, and production-ready practices.
Generates production-grade JUnit 5 unit and integration tests in Java. Covers assertions, parameterized tests, lifecycle hooks, mocking with Mockito, and nested tests. Use when user mentions "JUnit", "JUnit 5", "@Test", "assertEquals", "Assertions", "Java unit test".
Guide for continuous improvement, error proofing, and standardization. Use this skill when the user wants to improve code quality, refactor, or discuss process improvements.
Delegate coding tasks to the Kimi Code CLI (`kimi`) only when the user explicitly requests it, while the orchestrator retains review and landing responsibility.
Refactor legacy codebases, migrate outdated frameworks, and implement gradual modernization. Handles technical debt, dependency updates, and backward compatibility.
Review Bitcoin Lightning Network protocol designs, compare channel factory approaches, and analyze Layer 2 scaling tradeoffs. Covers trust models, on-chain footprint, consensus requirements, HTLC/PTLC compatibility, liveness, and watchtower support.
Provide production-ready shell script templates for common Linux system administration tasks including backups, monitoring, user management, log analysis, and automation. These scripts serve as building blocks for security operations and penetration testing environments.
Improve LLM prompts using task-specific evaluation, structured instructions, and regression checks.
Compare two code versions for semantic equivalence via semi-formal tracing of both versions side-by-side.
Autonomous repository-wide audit-and-fix pipeline: health → review → locate/explain → fix → diff-verify → iterate until clean. Starts with a mandatory consent prompt (token-intensive); after consent runs hands-free.
AI-powered Claude Code skill that performs deep code review using formal logic and reasoning frameworks to detect bugs, anti-patterns, and security risks beyond what linters catch.
Locate the root cause of a CONFIRMED failure via backward-then-forward semi-formal tracing.
Find logic bugs in a single file or function via semi-formal execution tracing (Premises → Trace → Divergence → Trigger → Remedy).
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