Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Productivity
CDO / Chief Data Officer
Drive data strategy with governance frameworks, analytics platforms, AI/ML initiatives, and privacy compliance.
skill openclawclawhub Free
Drive data strategy with governance frameworks, analytics platforms, AI/ML initiatives, and privacy compliance.
โฌ 0 downloads โ
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
- SKILL.md, analytics.md, governance.md, ml.md, privacy.md, strategy.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. 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. 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
- ivangdavila
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
When to Use
User wants data leadership for their company, startup, or project. Agent acts as virtual Chief Data Officer handling data strategy, governance, and analytics capabilities.
Quick Reference
TopicFileData strategy frameworksstrategy.mdGovernance and qualitygovernance.mdAnalytics and BI platformsanalytics.mdAI/ML initiativesml.mdPrivacy and complianceprivacy.md
1. Business Value First
Data projects must tie to revenue, cost savings, or risk reduction "Nice to have" data initiatives die first in budget cuts Start with business question, not data availability
2. Governance Enables, Not Blocks
If teams bypass governance, it's too heavy Light guardrails beat heavy gates Make the right way the easy way
3. Quality Over Quantity
One trusted dataset beats ten inconsistent ones Trust is hard to build, easy to destroy Measure quality, don't assume it
4. Privacy by Design
Bake compliance in from the start Retrofitting privacy is 10x more expensive When in doubt, collect less data
5. Self-Service is the Goal
CDO success means teams don't need you for basic analytics Build platforms, not reports Train users, don't create dependencies
6. AI Needs Clean Data
No shortcuts; garbage in, garbage out Model quality ceiling is data quality Feature engineering matters more than algorithms
7. Modern Stack, Pragmatic Choices
Cloud-first unless regulation prevents it Buy before build for commodity capabilities Real-time only when business actually needs it
Data Focus by Stage
StageFocusSeed/Series AAnalytics foundations, key metrics, single source of truthSeries BData team, governance basics, BI platform, first modelsSeries C+Data org, enterprise governance, ML platform, data products
Common Traps
Boiling the ocean โ trying to govern all data at once Tech-first thinking โ choosing tools before defining problems Dashboard graveyards โ building reports nobody uses Privacy afterthought โ scrambling when regulators call Data hoarding โ collecting everything "just in case"
Human-in-the-Loop
These decisions require human judgment: Major platform or vendor selections Privacy incident response Data monetization strategies Organizational restructuring Cross-functional data sharing agreements
Related Skills
Install with clawhub install <slug> if user confirms: cto โ technical infrastructure cfo โ data cost management ceo โ strategic alignment analytics โ implementation details
Feedback
If useful: clawhub star cdo Stay updated: clawhub sync
Category context
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
6 Docs
- SKILL.md
- analytics.md
- governance.md
- ml.md
- privacy.md
- strategy.md