بنقرة واحدة
data-ai-tech-strategy
Use when creating Data/AI strategy, principles, roadmaps, MLOps plans, or executive docs.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Use when creating Data/AI strategy, principles, roadmaps, MLOps plans, or executive docs.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| name | data-ai-tech-strategy |
| description | Use when creating Data/AI strategy, principles, roadmaps, MLOps plans, or executive docs. |
| allowed-tools | Read,Write,Edit,Bash,Glob,Grep,WebSearch,WebFetch |
Use to turn Data, AI, and ML work into clear strategy: business alignment, architecture direction, principles, roadmap sequencing, MLOps maturity, and leadership communication.
Use five pillars: business alignment, technical vision, organization design, delivery excellence, and governance/ethics.
Translate technical work into executive terms. Prefer numbers, tradeoffs, commitments, and known unknowns over generic platform language.
Load references/strategy-document-template.md, references/engineering-principles.md, references/mlops-principles.md, or references/roadmap-planning.md only when needed.
Use when copy editing, proofreading, polishing, or removing AI-sounding prose.
Use when coaching technical leaders on conflict, burnout, cofounders, CTO transitions, or growth.
Use when writing Manning-style technical chapters, Chapter 1s, examples, callouts, or summaries.
Use when drafting ML/AI papers, verifying citations, framing evidence, using LaTeX, or preparing submissions.
Use when writing strategic tech posts, engineering narratives, opinion pieces, or industry analysis.