GitHub organization
Agent skills by agentscope-ai, page 2
Skills by agentscope-ai, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 49 | A skill your agent uses when the user wants to compare or benchmark multiple LLMs/agents arena-style but it's unclear which specific workflow fits — a general-purpose win-rate comparison on a custom… | agentscope-ai/ | 868 | — | ~1k | Automated safety check: Pass | Apache-2.0 | 27 days ago |
| 50 | 50.Bootstrap A skill your agent uses when the user has nothing — no traces, no labels, no eval set — and needs to build a v0 evaluation from scratch. | agentscope-ai/ | 868 | — | ~2k | Automated safety check: Pass | Apache-2.0 | 27 days ago |
| 51 | 51.Eval Report A skill your agent uses when the user has run multiple evaluation skills and wants a comprehensive analysis — maturity assessment, cross-skill signals, trends, prioritized actions, and an executive… | agentscope-ai/ | 868 | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | 27 days ago |
| 52 | 52.Meta Eval A skill your agent uses when the user wants to build an evaluation system for an LLM/agent application but doesn't know where to start — they have traces, prompts, RAG pipelines, or nothing at all. | agentscope-ai/ | 868 | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | 27 days ago |
| 53 | 53.Nano Memory Guidelines and workflows for the agent to maintain persistent memory using native file tools (readfile, writefile, editfile) and standard OS commands for searching. | agentscope-ai/ | 129 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | 28 days ago |
| 54 | Discover and recommend combinations of agent skills to complete complex, multi-faceted tasks. | agentscope-ai/ | 868 | 1 repo | ~4.6k | Automated safety check: Warn | Apache-2.0 | 27 days ago |
| 55 | A skill your agent uses when the user has evaluation principles or a dataset but needs help choosing the right graders, designing evaluation metrics, creating LLM-as-judge prompts, combining… | agentscope-ai/ | 868 | — | ~5.1k | Automated safety check: Pass | Apache-2.0 | 27 days ago |
| 56 | 评估单个用户或用户群体在生命周期内创造的收益。触发条件:当需要用户生命周期价值计算与分析时触发,如对话中涉及“LTV”、“LTV 分析”、“用户生命周期价值”、“人均收益测算”等等相近词语时调用。 | agentscope-ai/ | 113 | — | ~743 | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 57 | 将累加型量值指标的周期波动拆解为结构变动、趋势变动和事件影响。当需要量化时间因素对指标变动的影响时调用. An agent skill from agentscope-ai/QwenPaw-Data. | agentscope-ai/ | 113 | — | ~1k | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 58 | 将用户的数据分析需求转化为结构化的分析计划并与用户确认。用户提出 BI 业务分析、数据探索、统计建模等需要规划的分析任务时使用。简单数据查询、公式明确的定量计算等流程简单、无需规划的任务不使用。 | agentscope-ai/ | 113 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 59 | 将 BI 数据分析结果构建为可筛选的交互式 HTML 看板。触发条件:① 用户显式要求「给我看板」时无条件触发;② 取数结果满足以下任一时自动触发——结果集行数10行、存在可筛选维度(产品线/地域/时间粒度等)、涉及多张表数据、时序跨度长。 | agentscope-ai/ | 113 | — | ~489 | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 60 | 从接触目标行为到完成目标行为的转化率计算。触发条件:需计算转化率时触发,如对话包含“转化率”、“转化情况”等词时触发. An agent skill from agentscope-ai/QwenPaw-Data. | agentscope-ai/ | 113 | — | ~335 | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 61 | 用户留存率计算,计算用户首次进入产品或首次完成关键行为后,后续回访或持续活跃的比例。触发条件:需计算用户留存率时触发,如观测次日留存率、观测第七日留存率等。 | agentscope-ai/ | 113 | — | ~342 | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 62 | 把用户按同一批/同一类分组,比较各群体后续表现。触发条件:对话涉及同期群分析、分群后表现对比、用户生命周期分群跟踪等任务时触发,如出现「同期群」「cohort」「按起始特征分群后表现如何」「不同客群后续转化/留存对比」「注册周/获客渠道分群跟踪」等相似问题时触发。 | agentscope-ai/ | 113 | — | ~871 | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 63 | 对不同时间、群体、地区、渠道、版本之间的指标差异性的定量分析。触发条件:当分析任务需要通过定量比较多个对象来进行分析时触发,例如,对话包含“分析差异”、“衡量增长/下降”、“评估优劣/一致性“、“对比“等相似词语时触发。 | agentscope-ai/ | 113 | — | ~416 | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 64 | 对转化执行完整的分析流程,算清楚用户转不转、转化率多少、有没有变化,含口径定义、取数、转化率计算,及可选的异常分析、维度拆分与对比/归因。触发条件:对话涉及转化率分析、转化表现评估、转化变化归因等任务时触发,如出现「分析对话转化率」「转化率表现如何」「不同群体/地区/时间的转化率对比」「分维度后转化情况」「转化率是否异常」等相似问题时触发。 | agentscope-ai/ | 113 | — | ~971 | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 65 | 对指标按维度逐层下拆,通过单维度扫描、交叉分析和层级下钻定位关键维度(组)值。当需要知道"从哪些维度拆解、按什么顺序拆解来定位指标变动来源"时调用。 | agentscope-ai/ | 113 | — | ~605 | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 66 | 转化漏斗分析,构建产品链路转化漏斗、计算每步转化率、识别卡点、对比行业基准。触发条件:当需要分析多段行为的转化情况时触发,如对话涉及“漏斗”、“转化漏斗”、“阶段A-阶段B-阶段C转化情况”等相近词语时触发。 | agentscope-ai/ | 113 | — | ~425 | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 67 | 识别新增维度值并评估其在北极星指标上的表现。当归因维度出现新增值(如新渠道、新品类、新功能)需要评估效果时调用. An agent skill from agentscope-ai/QwenPaw-Data. | agentscope-ai/ | 113 | — | ~505 | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 68 | 对留存执行完整的分析流程,算清楚用户留不留、留多少、有没有变化,含口径定义、取数、留存率计算,及可选的维度拆分与对比/归因。触发条件:对话涉及留存率分析、留存表现评估、留存变化归因等任务时触发,如出现「留存表现情况如何」「访问留存和使用留存对比怎么样」「不同国家的访问留存是否存在差异」「分维度后留存情况」「次日/第七日留存率变化」等相似问题时触发。 | agentscope-ai/ | 113 | — | ~978 | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 69 | 定义与用户之间的交互策略:何时反问、何时直接执行、何时交付结果。在任何需要判断"是否该停下来和用户沟通"的场景中参考本 skill。 | agentscope-ai/ | 113 | — | ~407 | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 70 | 指导外部自动化 agent 使用 QwenPaw Data CLI 发现 Data Bridge 数据源、通过自然语言规划与执行数据分析任务、复用 SOP YAML,并根据流式输出、执行摘要和错误信息验收结果。用于需要调用本地 qwenpaw-data 命令完成数据任务、选择 run 或 plan/execute、传入 --datasource-id、处理长任务输出或排查 CLI 失败的场景。 | agentscope-ai/ | 113 | — | ~961 | Automated safety check: Notes | Apache-2.0 | 3 days ago |
| 71 | 提供数据分析任务执行的强制性通用规范。在计划完成准备执行数据分析任务、或执行过程中涉及产物落盘、数据复用、异常处理、计划调整、质量自检时,必须优先调用此技能。 | agentscope-ai/ | 113 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 72 | Data Skill-Hub 技能仓库使用指南。在执行任何数据分析任务前,必须优先加载此技能以了解可用技能体系和调用规范。 | agentscope-ai/ | 113 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 73 | 对单个分析条目执行完整的指标观测、异常检测、维度下拆归因和新增维度分析。当分析条目、指标及角色已明确时调用. An agent skill from agentscope-ai/QwenPaw-Data. | agentscope-ai/ | 113 | — | ~514 | Automated safety check: Pass | Apache-2.0 | 3 days ago |