Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Data Analysis
Org Learning Ops Skill
全量会话分析 + 每日技能盘点分配 + CEO学习日报与热门skills雷达联动输出。
skill openclawclawhub Free
全量会话分析 + 每日技能盘点分配 + CEO学习日报与热门skills雷达联动输出。
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md, examples/daily-brief-example.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.1
Provenance
- Publisher
- huangluckybao-lab
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
目标
把“团队协作对话”转成可执行的组织能力升级建议，并形成每日可审批的技能分配清单。
固定输入
全量会话历史：~/.openclaw/agents/*/sessions/*.jsonl 可见会话API：sessions_list / sessions_history 技能来源：GitHub / ClawHub / SkillsMP / skills.sh 已安装技能与agent配置：当前环境可见配置
A. 全量覆盖分析
覆盖目标agent：main / qin / kongming / qianxuesen / miaoji（若可见） 统计字段： session数量 角色消息计数（user/assistant/toolResult） 时间范围 主题命中（技能安装/定时运营/研究情报/协作调度/治理审批） 输出覆盖率报告：已覆盖、未覆盖、覆盖率%、缺失原因
B. 组织诊断
输出组织能力雷达Top3（证据化） 输出双线建议： CEO学习输入（方法/资料/应用） Agent能力补强（skills/SOP/workflow）
C. 技能雷达（近3天Top30）
每条必须包含： skill名称 用途（1-2句） 数据表现（热度/星标/下载/活跃；缺失标注“数据不可得”） 来源链接 适配等级（高/中/低）+ 依据 输出“可批Top10（高适配优先）”
D. 技能盘点与分配（每日必做）
盘点：已安装skills + 各agent已配置skills 输出 Agent × Skill 分配表： 建议新增 建议保留 建议暂停/移除 每条必须附：用途、证据、风险、回滚点
E. 治理边界（A1）
自动：收集、分析、草案、分层、推荐 需审批：安装/更新skill、配置变更、正式启用 suspicious技能：先展示清单并审批；未批不转正
输出模板（日报）
一句话结论 覆盖率报告 CEO决策面板 组织能力雷达Top3 双线补强建议 执行分层(A1) 外部前沿机会 明日行动清单 Suspicious候选清单（待审批） 适配分层（高/中/低） Agent×Skill盘点分配（新增/保留/暂停）
质量门槛
无证据不建议 覆盖率<80%时，先给“补数动作Top3” 禁止泛推荐；建议必须能落地
Category context
Data access, storage, extraction, analysis, reporting, and insight generation.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Docs
- SKILL.md
- examples/daily-brief-example.md
- README.md