Explorar skills

Security auditing skill for web applications and codebases. Scans for OWASP Top 10, dependency vulnerabilities, secrets exposure, XSS/CSRF/injection flaws, auth weaknesses, and misconfigurations. Use when task involves security scan, vulnerability assessment, pen test review, threat modeling, or hardening a codebase.

Autonomous experiment loop that optimizes any file by a measurable metric. Inspired by Karpathy's autoresearch. The agent edits a target file, runs a fixed evaluation, keeps improvements (git commit), discards failures (git reset), and loops indefinitely. Use when: user wants to optimize code speed, reduce bundle/image size, improve test pass rate, optimize prompts, improve content quality (headli

Criação completa de PR de ponta a ponta, incluindo configuração de branch, implementação, testes, commit, push e abertura de PR no GitHub.

Habilidade especializada em cibersegurança, abrangendo análise de vulnerabilidades (OWASP Web & LLM Top 10), relatórios de bug bounty, metodologia de pentest e revisão de código seguro (Java, Angular, Node, Python). Inclui hardening de Docker/Kubernetes, conformidade (NIST CSF 2.0, ISO 27001, CIS v8) e modelagem de ameaças STRIDE, ativada ao gerar código backend/APIs ou em consultas de segurança.

Test-driven development skill for writing unit tests, generating test fixtures and mocks, analyzing coverage gaps, and guiding red-green-refactor workflows across Jest, Pytest, JUnit, Vitest, and Mocha. Use when the user asks to write tests, improve test coverage, practice TDD, generate mocks or stubs, or mentions testing frameworks like Jest, pytest, or JUnit.

Severity definitions, approval gate protocol, and fix constraints shared across all review and test skills.

Create comprehensive MATLAB unit tests using the MATLAB Testing Framework. Use when generating test files, test cases, unit tests, test suites, or when the user requests testing for MATLAB code, functions, or classes.

Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological net

Python network device discovery, scanning, and HTTP API management. Covers raw UDP sockets, vendor broadcast protocols (GBL reference), subnet scanning, HTTPS fallback, interface enumeration, and parallel probing. Built from production deployment to 120+ devices.

Conselho da Sabedoria: Pergunte a Buffett, Munger, Dalio, Thiel, Naval e outros em uma única conversa.

Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".

UX patterns for desktop tools that commission or configure device fleets in parallel — status grids, error triage, resumable worklists, LED locate, throughput ETA. Use when designing a UI that tracks 50+ parallel device operations.