Browse Skills

Solidity Security provides patterns and checklists for writing secure Solidity smart contracts, auditing for vulnerabilities like reentrancy and integer overflow, and enforcing access control. Use it when building or reviewing DeFi protocols and preparing contracts for audit.

Task Coordination Strategies decomposes complex tasks into parallelizable units, designs dependency graphs, and monitors workload across agent teams. Use this skill when breaking down work for agent teams, managing task dependencies, or monitoring team progress.

Team Communication Protocols defines messaging rules for agent teams: when to use direct messages, broadcasts, plan approvals, and shutdown requests, plus anti-patterns to avoid.

Team Composition Patterns provides heuristics and preset configurations for designing multi-agent teams in Claude Code, covering team sizing, agent type selection, and display modes. Use it when deciding how many agents to spawn, choosing between review, feature, or debug teams, or configuring teammate display modes.

Temporal Python Testing provides patterns for testing Temporal workflows with pytest, time-skipping, and activity mocking. Use it when implementing Temporal workflow tests or debugging test failures.

WCAG Audit Patterns guides WCAG 2.2 accessibility audits with automated testing, manual verification, and remediation guidance. Use it when auditing websites for accessibility, fixing WCAG violations, or implementing accessible design patterns.

Web3 Testing tests smart contracts comprehensively using Hardhat and Foundry with unit tests, integration tests, and mainnet forking. Use it when testing Solidity contracts, setting up blockchain test suites, or validating DeFi protocols.

Workflow Orchestration Patterns provides guidance for designing durable Temporal workflows, covering workflow vs activity separation, saga patterns, state management, and determinism constraints. Use it when building long-running processes, distributed transactions, or microservice orchestration.

AI Slop Cleaner removes code bloat, duplication, dead code, and needless abstraction from AI-generated code using a deletion-first, regression-safe workflow. It supports a reviewer-only mode to separate cleanup writing from review.

Ask routes a prompt through the local Claude, Codex, Gemini, Antigravity, Grok, or Cursor CLI via `omc ask` and persists the result as an ask artifact. Use it when you want to ask a local AI model a question or task and save the response.

Autopilot turns a brief product idea into working code by autonomously handling requirements analysis, technical design, planning, parallel implementation, QA cycling, and multi-perspective validation. Use it when you want hands-off execution from a 2-3 line description to verified, working software.

Autoresearch runs one mission through bounded, evaluator-driven iterations and records each decision in durable logs. Use it when you have an existing mission and want persistent improvement until an explicit stop condition or max runtime is reached.