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Found 6,660 Skills
Strategic regression testing with test selection, impact analysis, and continuous regression management. Use when verifying fixes don't break existing functionality, planning regression suites, or optimizing test execution for faster feedback.
Think through ideas, investigate problems, and clarify requirements before committing to a change using `/opsx:explore`. Use when the user says "explore an idea", "think through this", "investigate options", or wants to brainstorm before creating a formal change.
End-to-end test-fix workflow generate test sessions with progressive layers (L0-L3), then execute iterative fix cycles until pass rate >= 95%. Combines test-fix-gen and test-cycle-execute into a unified pipeline. Triggers on "workflow:test-fix-cycle".
A 10-step methodology for building software with AI collaboration - from north star through automated Ralph loop execution with zero human-in-the-loop code writing
Create a new skill. When to use: When the user says "create skill", "new skill", "add skill", "initialize skill".
The anti-PUA. Drives AI with wisdom, trust, and inner motivation instead of fear and threats. Activates on: task failed 2+ times, about to give up, suggesting user do it manually, blaming environment unverified, stuck in loops, passive behavior, or user frustration ('try harder', 'figure it out', '换个方法', '为什么还不行'). ALL task types. Not for first failures.
improve a CLAUDE.md file using <important if> blocks to improve instruction adherence
Conduct deep codebase research and produce a written report. Use when the user says "Research ...", "start a research for", "deeply investigate", or "fully understand how X works". Do not use for quick questions or simple code lookups.
Agent skill for multi-repo-swarm - invoke with $agent-multi-repo-swarm
Agent skill for security-manager - invoke with $agent-security-manager
Use when batch-resolving approved todos, especially after code review or triage sessions
CrewAI task design and configuration. Use when creating, configuring, or debugging crewAI tasks — writing descriptions and expected_output, setting up task dependencies with context, configuring output formats (output_pydantic, output_json, output_file), using guardrails for validation, enabling human_input, async execution, markdown formatting, or debugging task execution issues.