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Found 9,990 Skills
Analyse task status and distribution across the configured backend.
This skill should be used when the user requests phrases such as "list teams", "team list", "view team configurations", or "what teams are available". It scans the .team-profiles/ directory and displays summary information of all available configurations.
Playwright-based browser automation patterns for autonomous web interaction
Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only — never executes the task itself. TRIGGER when: user says "optimize prompt", "improve my prompt", "how to write a prompt for", "help me prompt", "rewrite this prompt", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: "优化prompt", "改进prompt", "怎么写prompt", "帮我优化这个指令". DO NOT TRIGGER when: user wants the task executed directly, or says "just do it" / "直接做". DO NOT TRIGGER when user says "优化代码", "优化性能", "optimize performance", "optimize this code" — those are refactoring/performance tasks, not prompt optimization.
Form a committee of two high-reasoning agents to step back, do root cause analysis, and produce a plan. Use when stuck, looping, tunnel-visioning, or facing a hard planning problem.
Send notifications to Feishu/Lark. Internal utility used by other skills, or manually via /feishu-notify. Supports push-only (webhook) and interactive (bidirectional) modes. Use when user says "发飞书", "notify feishu", or other skills need to send status updates.
Fast-track an urgent fix through a streamlined pipeline. Skips Product/Feature Council, applies the fix, runs a focused review, and creates a PR with optional Deployment Council. Use for production bugs, security patches, or critical regressions that cannot wait for the full planning pipeline.
Use this skill when performing exploratory data analysis, statistical testing, data visualization, or building predictive models. Triggers on EDA, pandas, matplotlib, seaborn, hypothesis testing, A/B test analysis, correlation, regression, feature engineering, and any task requiring data analysis or statistical inference.
Zero-ceremony inline execution for tasks completable in 3 or fewer file edits. No plan, no subagent, no research — just understand, do, commit, log. Use for "quick fix", "typo fix", "one-line change", "trivial fix", "rename this variable", "update this value", "fix this import". Do NOT use for tasks requiring research, planning, new dependencies, or more than 3 file edits — redirect to /quick instead.
Agent skill for data-ml-model - invoke with $agent-data-ml-model
Creates a draft GitHub Issue with triage label from natural language description.
Use when executing multi-task plans where each task can be implemented independently by a subagent. Triggers when a plan has 3+ independent tasks, when speed of execution is important, when tasks have clear acceptance criteria suitable for delegation, or when two-stage review gates (spec compliance and code quality) are needed for iterative fix cycles.