Build a Data Capability Enablement Plan
Organizations often struggle to separate platform automation from work requiring human judgment. This skill creates coordinated platform and training plans for distinct roles.
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "data-capability-enablement-team" from https://skillstore.io/skills/dhturing-data-capability-enablement-team.md and its manifest at https://skillstore.io/api/skills/dhturing-data-capability-enablement-team/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Using "data-capability-enablement-team". Assess whether our inventory, quality, ledger, and commercialization tools should become one platform.
Expected outcome:
Using "data-capability-enablement-team". Create training for executives, finance, data specialists, and business teams.
Expected outcome:
Using "data-capability-enablement-team". Prepare a complete data capability enablement proposal.
Expected outcome:
A phased proposal covering diagnosis, boundaries, platform modules, curriculum, deliverables, quality checks, risks, and assumptions.
All 11 static findings are false positives caused by documentation paths, Markdown backticks, public website links, or entropy heuristics on Chinese text. No executable code, network request, obfuscated payload, prompt injection, or harmful intent was found.
Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.
https://skillstore.io/skills/dhturing-data-capability-enablement-team/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/dhturing-data-capability-enablement-team?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/dhturing-data-capability-enablement-team?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dhturing-data-capability-enablement-team/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/dhturing-data-capability-enablement-team.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>图灵数盟. (2026). data-capability-enablement-team security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-data-capability-enablement-team/audits/1@techreport{dhturing-data-capability-enablement-team-2026,
author = {图灵数盟},
title = {data-capability-enablement-team security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/dhturing-data-capability-enablement-team/audits/1},
note = {Author version unspecified}
}cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "data-capability-enablement-team security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "图灵数盟"
date-released: "2026-09-27"
url: "https://skillstore.io/skills/dhturing-data-capability-enablement-team/audits/1"
identifiers:
- type: other
value: "skillstore:dhturing-data-capability-enablement-team:audit:1"
description: "Skillstore immutable audit report identifier"
Separate automation opportunities from human decisions, then create a phased platform and training roadmap.
Build differentiated course paths, exercises, and assessments for four organizational role groups.
Map existing tools into platform modules, identify gaps, and plan user training for deployment.
Our goal is [goal]. Our current systems are [systems]. Identify the first platform and training priorities for [roles].
Review these activities: [activities]. Classify each as automatable, human-led, or hybrid. Explain the boundary and required controls.
Design a curriculum for executives, finance, data teams, and business teams. Include objectives, source materials, duration, practice, and assessment.
Using [goals], [tools], [roles], [constraints], and [timeline], create an integrated platform roadmap and training plan. Include deliverables, dependencies, quality checks, risks, and assumptions.
Author
图灵数盟License
MIT
Skillstore revision
r1
Version notice
The author did not declare a version.
Ref
50b73f83991cf073cbdf3f5afad2bbac71dd3bae
Maintenance freshness
9/30/2026
Usage
0 downloads · 0 views
File structure
Design a Trusted Data Space
Trusted data space projects often fail through weak demand, governance, or participation. This skill provides structured assessment, architecture, rules, rollout, and operating guidance.
Create a Data Monetization Plan
Data teams often struggle to connect data assets to validated revenue opportunities. This skill provides a structured, auditable path from value discovery to monetization operations.
Discover and Prioritize Data Use Scenarios
Organizations often overlook valuable uses for data they already hold. This skill scans industries, ranks opportunities, and defines evidence needed for validation.
Manage the Full Data Asset Lifecycle
Data asset programs often lack connected policies, ownership, workflows, and measurable controls. This skill designs a practical lifecycle system from planning through disposal and oversight.
Assess Energy Data Asset Opportunities
Energy data projects often lack clear compliance gates and measurable value. This skill structures classification, cash-flow evidence, accounting coordination, and commercialization options.
Plan Industry-Specific Data Asset Strategies
Generic data asset plans can miss sector rules, data ownership, buyer needs, and approval steps. This skill organizes industry selection, data assessment, compliance screening, commercialization scenarios, and repeatable delivery plans.
Design Reliable Data Platforms
by sickn33
Data teams need reliable architectures that meet scale, latency, governance, and cost requirements. This skill turns those requirements into pipeline designs, implementation plans, quality controls, and operating guidance.
Build Reliable Segment CDP Tracking
by sickn33
Inconsistent analytics events weaken reporting and customer profiles. This skill provides Segment patterns for browser, server, identity, routing, governance, and HTTP tracking.
Analyze Scientific Data Files
by davila7
Scientific datasets often arrive in specialized formats that are hard to inspect quickly. This skill detects the format, summarizes contents, checks quality, and produces a clear EDA report.
Analyze Single-Cell RNA-Seq with Scanpy
by davila7
Single-cell RNA-seq workflows require careful QC, normalization, clustering, and documentation. This skill gives Scanpy workflows, scripts, templates, and references for reproducible analysis.
Create Publication-Ready Scientific Figures
by davila7
Scientific figures often fail journal checks for size, color, typography, or export format. This skill guides Claude, Codex, and Claude Code through publication-ready plotting workflows.
Process JSON, YAML, and TOML Data
by 0xDarkMatter
Structured configuration data can be hard to inspect across JSON, YAML, and TOML files. This skill guides jq and yq queries for extraction, filtering, conversion, and updates.