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Found 91 Skills
Spawn 5 Opus subagents with randomly-generated distinct personas to debate a problem from multiple angles. Use when exploring UX decisions, architecture choices, or any decision that benefits from diverse perspectives arguing creatively.
Research-driven code review and validation at multiple levels of abstraction. Two modes: (1) Session review — after making changes, review and verify work using parallel reviewers that research-validate every assumption; (2) Full codebase audit — deep end-to-end evaluation using parallel teams of subagent-spawning reviewers. Use when reviewing changes, verifying work quality, auditing a codebase, validating correctness, checking assumptions, finding defects, reducing complexity. NOT for writing new code, explaining code, or benchmarking.
Create and manage multi-repo development workspaces for complex tasks involving multiple repositories, dependencies, and parallel agent work. Use when the user wants to set up a workspace, add repos/worktrees/deps to an existing workspace, or initialize a project that spans multiple repositories. Triggers on requests like "create a workspace", "set up a multi-repo project", "add a repo to the workspace", or "create a worktree".
Resume work from handoff document with context analysis and validation
One-click comprehensive analysis of a stock/company. Collect data from five dimensions - stock price, news sentiment, industry comparison, market environment, and official company website - simultaneously through parallel sub-agents, then conduct cross-analysis, causal attribution, and trend prediction in the main thread, and output a standardized analysis report. Trigger words: Analyze XX stock, analyze TICKER, How is XX, Is XX worth buying? Supports A-shares and U.S. stocks.
Reads images of deduction certificates (life insurance premiums, earthquake insurance premiums, etc.) and returns structured data. It can be called from other skills or directly by users.
OpenCode Multi-Agent Parallel Collaboration Configuration. Supports multiple agents working simultaneously to implement a pipeline development mode. Use when: (1) Need multiple agents to work in parallel (2) Need a master to schedule collaborative work among agents (3) Need to implement a standardized process of design → development → acceptance → testing (4) Need to configure OpenCode's multi-agent collaboration capability
Invoke MassGen's multi-agent system. Use when the user wants multiple AI agents on a task: writing, code, review, planning, specs, research, design, or any task where parallel iteration beats working alone.
Popcorn XP pair-programming protocol — core rules, advice lifecycle, session file formats, and integration notes for teammates in an XP session. Auto-loaded into popcorn-xp agents via the skills field. Native agents from other plugins should invoke this skill as their first action to load the protocol.
Orchestrate level design team: level-designer + narrative-director + world-builder + art-director + systems-designer + qa-tester for complete area/level creation.
Run a second round on a contested question by circulating each subagent's independent proposal to the other authors and asking for structured pros and cons, then synthesize. Use this skill whenever you have multiple independent proposals or opinions on a contested decision — architecture tradeoffs, code review disagreements, design choices, competing root-cause theories — and want sharper analysis than you'd produce by synthesizing alone. Pairs naturally with the council and research skills; reach for it liberally whenever proposals diverge.
Create detailed implementation plans through an interactive process with research, code snippets, and structured deliverables. Use this skill when planning significant features, refactoring tasks, or complex implementations that require thorough analysis and structured documentation. The skill guides through context gathering, research, design decisions, and generates comprehensive plans with test strategies and success criteria.