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Found 5,796 Skills
Expert guide for working with opencode.ai - TUI commands, CLI operations, custom commands, agents, tools, skills system, and AGENTS.md configuration
Guidelines for writing Agent Skills. TRIGGERS: create a skill, new skill, write a skill, skill template, skill structure, review skill, skill PR, skill compliance, agentskills spec, SKILL.md format, skill frontmatter, skill best practices
Guide for working in parallel with other agents. Use when another agent is already working in the same directory, or when you need to work on multiple features simultaneously. Covers git worktrees as the recommended approach.
Define custom Claude Code slash commands for agents in the Traycer enforcement framework. This skill should be used when creating or updating agents and needing to specify reusable prompts that agents can execute as slash commands. Commands are Markdown files stored in .claude/commands/ and referenced in agent config.yaml files. This is for Claude Code slash commands (/command-name), not bash/CLI commands.
Guide for creating effective agent skills. Use PROACTIVELY when creating new skills or refactoring bloated ones. Teaches progressive disclosure, 200-line rule, and 3-tier loading system.
VM0 API for running AI agents in secure sandboxes. Use this skill to execute agents, manage runs, and download outputs (artifacts) and inputs (volumes) via the VM0 platform API.
Publish and update agent skills on agentskill.sh and skills.sh marketplaces. Covers SKILL.md preparation, submission, verification, and ongoing sync. Use when the user mentions publishing skills, listing on marketplace, updating skill listings, or asks about agentskill.sh or skills.sh.
Pull items from Solo Scope RSS (https://www.mixdao.world/feed), organize them into 3 to 6 categories by topic, generate a 140-word core value summary for each category, and output a briefing with the original title and URL of each item. The Agent will independently complete the pulling, organizing, and briefing writing. Trigger examples: "Do Solo Scope", "olo Scope", "Organize mixdao feed", "RSS categorized briefing".
Safe experimentation framework for AI agents. Creates isolated sandbox environments for trying new features, testing approaches, and exploring solutions without polluting the main codebase. USE WHEN: Agent needs to try something uncertain, explore multiple approaches, test a new library, prototype a feature, or run a technical spike before committing to implementation. PRIMARY TRIGGERS: "experiment with" = Setup sandbox + run experiment "try this approach" = Quick experiment in sandbox "spike" / "POC" / "prototype" = Time-boxed technical investigation "tinker" / "tinkering mode" = Enter experimentation workflow "explore options" = Multi-approach comparison in sandbox NOT FOR: Debugging (use debugger), testing (use test runner), or committed feature work (use git branches). DIFFERENTIATOR: Unlike git branches (for committed direction), tinkering is for "I don't know if this will work" exploration. Try 5 things in sandbox before committing to a branch. Faster feedback, zero codebase pollution.
문제를 분석하여 Agent Teams를 자동 구성하고, 4가지 조율 패턴(distribute/monitor/discourse/sequence) 중 최적 패턴으로 협업한다. "/teams {문제 설명}"으로 호출한다.
Fix all ESLint and TypeScript errors with parallel processing using snipper agents
Управление сессиями AI агентов через agent-deck CLI. Триггеры (RU): "запусти агента", "запусти саб-агента", "создай сессию", "проверь сессию", "проверь статус", "покажи вывод агента", "что агент ответил". Triggers (EN): "launch sub-agent", "create sub-agent", "start session", "check session", "show agent output".