Skills data-asset-training-lecturer
📦

data-asset-training-lecturer

Content revision r1 Safe 📁 Filesystem access⚙️ External commands🌐 Network access

Design Data Asset Training Programs

Generic data asset training often misses the needs of different business roles. This skill creates structured courses, exercises, assessments, and delivery plans.

Supports: Claude Codex Code(CC)
🥉 77 Bronze

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request
Review the Skillstore skill "data-asset-training-lecturer" from https://skillstore.io/skills/dhturing-data-asset-training-lecturer.md and its manifest at https://skillstore.io/api/skills/dhturing-data-asset-training-lecturer/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.

Test it

Using "data-asset-training-lecturer". Plan a half-day data asset session for senior managers.

Expected outcome:

  • Objective: enable informed decisions on data asset investment and governance.
  • Agenda: policy context, value pathways, governance roles, decision case, and action planning.
  • Assessment: a short scenario discussion and executive action checklist.

Using "data-asset-training-lecturer". Create an assessment plan for a finance team workshop.

Expected outcome:

  • Use policy questions, accounting judgment scenarios, and one anonymized classification exercise.
  • Set transparent scoring criteria and explain that passing does not qualify participants for professional practice.
  • Report group mastery, common errors, and recommended follow-up support.

Using "data-asset-training-lecturer". Compare internal training with a public lecture.

Expected outcome:

Internal training supports deeper practice and custom cases. A public lecture provides broad awareness with limited exercises, assessment, and personalization.

Security Audit

Safe
v1 • 9/27/2026 Open versioned report

All 12 static findings are false positives caused by installation examples, Markdown backticks, public website links, or entropy heuristics on multilingual text. The reviewed files contain no executable behavior, encoded payloads, prompt injection, or data exfiltration intent.

4
Files scanned
387
Lines analyzed
0
Review items
0
False positives ignored

Risk Factors

📁 Filesystem access (2)
⚙️ External commands (3)
🌐 Network access (2)
No confirmed security findings were detected by the latest completed static and semantic audit. This does not prove the skill has no side effects.
Audited by: codex
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Open versioned report
Security Assessment

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Academic citations (APA · BibTeX · CFF)

APA citation

图灵数盟. (2026). data-asset-training-lecturer security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-data-asset-training-lecturer/audits/1

BibTeX citation

@techreport{dhturing-data-asset-training-lecturer-2026, author = {图灵数盟}, title = {data-asset-training-lecturer security audit report (audit version 1)}, institution = {Skillstore}, year = {2026}, number = {1}, url = {https://skillstore.io/skills/dhturing-data-asset-training-lecturer/audits/1}, note = {Author version unspecified} }

CITATION.cff

cff-version: 1.2.0 message: "If you use this Skill, cite its author and this versioned security audit report." title: "data-asset-training-lecturer 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-asset-training-lecturer/audits/1" identifiers: - type: other value: "skillstore:dhturing-data-asset-training-lecturer:audit:1" description: "Skillstore immutable audit report identifier"

Skillstore Score

Why this score Evidence Confidence: Medium
55
Architecture
85
Maintainability
87
Content
65
Community
83
Spec Compliance

What You Can Build

Plan Executive Awareness Training

Create a concise program covering policy direction, strategic value, investment decisions, and governance responsibilities.

Build Finance Team Practice

Develop an accounting-focused course with anonymized cases, simulations, assessments, and clear professional-service boundaries.

Prepare a Public Data Lecture

Structure a short public session with audience goals, content modules, interaction, compliance limits, and follow-up options.

Try These Prompts

Create a Basic Course Outline
Create a 90-minute introduction to data assets for [audience]. Include objectives, modules, timing, one case, and a short knowledge check.
Design Role-Based Learning Paths
Design separate learning paths for management, finance, data, and business teams. Show objectives, modules, duration, activities, and expected outputs.
Develop an Applied Workshop
Create a [duration] workshop for [role] on [topic]. Include anonymized cases, simulation tasks, scoring criteria, assessment questions, and facilitator notes.
Produce a Complete Training Proposal
Using these requirements: [details], produce a diagnostic summary, curriculum, schedule, materials list, assessment plan, delivery risks, pricing assumptions, and evaluation framework.

Best Practices

  • Define learner roles and measurable outcomes before selecting modules or materials.
  • Use anonymized or fictional cases and confirm permissions for every external training asset.
  • Verify current policies, pricing assumptions, and professional boundaries before delivery.

Avoid

  • Do not teach every role with one undifferentiated agenda.
  • Do not promise accounting recognition, financing, certification, or other regulated outcomes.
  • Do not use confidential business data, copyrighted materials, or unverified policy claims.

Frequently Asked Questions

Which audiences does this skill support?
It supports management, finance, data, business, and general industry audiences through separate learning paths.
Can it create complete presentation files?
It can draft slide structures and content. Final branded files require templates, source materials, and production tools.
Can it use our company data in exercises?
Use only approved, anonymized data. Prefer fictional cases when confidentiality, consent, or data handling controls are unclear.
Does the training replace professional advice?
No. Accounting, legal, audit, valuation, and financing decisions require qualified professionals and organization-specific evidence.
How should policy references be handled?
Verify every policy title, identifier, effective date, and interpretation against current authoritative sources before delivery.
What information improves the training plan?
Provide audience roles, current maturity, learning goals, available time, delivery format, budget, source materials, and assessment expectations.

Developer Details

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

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