القائمة
GTM demo execution for engineering AI chatbot presentations — system prompt authoring, demo scripting, ROI capture
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/vamseeachanta/workspace-hub --skill engineering-chatbot-demoيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
Write outbound email and external messages in Vamsee Achanta's voice — a subtle offer to help, never bold or rash claims. Load before drafting ANY email, LinkedIn/Collide reply, proposal note, or outreach sent under his name.
Save/publish analysis or computation results from ANY ecosystem repo to Hugging Face as a queryable, viewer-renderable dataset. Use when the user wants to "save results to hugging face", "publish dataset to HF", "hugging face data saving", "save analysis results", "hf dataset", "make results queryable", or "render via datasets-server API". Reshapes nested results into flat parquet tables, writes a dataset card with a viewer `configs:` block and provenance, applies license/public-vs-private routing, enforces a domain data-quality gate (faithful-to-source != correct), publishes to `aceengineer/<repo>-<projection>`, and verifies via the datasets-server API.
Clone, create, fork, configure, and manage GitHub repositories. Manage remotes, secrets, releases, and workflows. Works with gh CLI or falls back to git + GitHub REST API via curl.
استنادا إلى تصنيف SOC المهني
عرض SKILL.md
| name | engineering-chatbot-demo |
| version | 1.0.0 |
| category | business/client-demo |
| description | GTM demo execution for engineering AI chatbot presentations — system prompt authoring, demo scripting, ROI capture |
| type | reference |
| capabilities | ["system_prompt_design","demo_script_builder","calculation_template_builder","knowledge_base_structuring","pilot_feedback_capture","chatbot_pitch_delivery"] |
| requires | [] |
| trigger | manual |
Full GTM workflow for presenting engineering AI chatbots to clients — covers system prompt design through ROI capture. Reusable template for any new engineering discipline.
Produce discipline-specific system prompts in this order:
| Phase | Duration | Content |
|---|---|---|
| Hook | 2 min | Live lookup: "What does API 2A say about pile fatigue?" |
| Calculation | 5 min | Step-by-step calc: formula → substitution → result → acceptance check |
| Data processing | 4 min | Paste inspection data → AI generates corrosion rate summary table |
| Document gen | 4 min | AI drafts scope of work or memo from bullet points |
| Q&A | 5 min | Open questions; capture objections |
### [Calc Name]
**Code ref:** API/DNV/ISO clause X.Y.Z
**Formula:** σ = F / A
**Inputs:** F = [value] kN, A = [value] m²
**Result:** σ = [value] MPa
**Acceptance:** σ ≤ F_y / 1.67 = [value] MPa → PASS/FAIL
Structure markdown KB files for reliable AI citation:
## headings per topic (AI retrieves by heading)> Note: callouts for exceptions or applicability limitsAfter each demo session record:
| Tier | Description | Price signal |
|---|---|---|
| T1 | Read-only assistant (Q&A, code lookups) | Project-based |
| T2 | T1 + calculation templates + doc generation | Retainer |
| T3 | T2 + custom KB + pilot + 3-month support | Enterprise |
Objection handling: