| name | operations-transformation |
| sheetId | 3.10 |
| description | Three-stage operations transformation pipeline — process discovery (SIPOC), digital transformation assessment, then automation-ready process redesign — to turn pain points into builder-ready blueprints. |
| category | operations |
| project | operations-transformation |
| platform | claude |
| status | Done |
| author | Peter Tu |
| input | A client-described inefficient or unclear business process, ideally with prior discovery context from consult-discovery |
| process | Stage 1 SIPOC mapping → Stage 2 automation suitability diagnosis (four-quadrant + ROI) → Stage 3 sub-task / system-layer / MVP-stack redesign |
| output | SIPOC table, diagnostic table with tech recommendations and ROI, and a builder-ready redesign blueprint with MVP stack |
| synergy | ["2.14","2.15","2.16","operations-flow-optimization"] |
Operations Transformation
npx skills add https://github.com/peter-tu-zynkr/zynkr-skill-builder --skill operations-transformation
Turn an inefficient business process into a builder-ready automation blueprint through three sequential stages. Use this skill after consult-discovery (or whenever you already have a clear pain point) and you want to design the operational fix end-to-end before handing to an engineer.
Step 1 — Collect inputs
Ask the user for:
- Pain-point description — the inefficient or unclear process to redesign
- (Optional)
STAGE1_SUMMARY / STAGE2_SUMMARY from consult-discovery if available
- The business outcome they want from the transformation (cost / speed / quality / scale)
Store as PROCESS_BRIEF.
Step 2 — Stage 1: Process Discovery / SIPOC mapping (subagent)
Display:
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Stage 1: Process Mining — build the SIPOC map
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Launch the operations-process-discovery agent (./agents/operations-process-discovery.md) using the Agent tool, passing PROCESS_BRIEF.
The agent walks through:
- End-to-end process mapping (main stages, owners)
- Supplier and Customer per step (one question at a time)
- Agent-generated Input/Output assumptions
Store the final SIPOC table as SIPOC_TABLE.
Ask:
Does this SIPOC map look right? (Yes / Adjust)
Optional Stage 1.5 — streamline before you diagnose. Before scoring automation, it usually pays to clean and re-order the flow itself: validate I→P→O on every step, map dependencies, and eliminate friction (duplicative / looping / missing steps). Invoke operations-flow-optimization on SIPOC_TABLE to produce a streamlined "ideal flow" spine, then feed that spine into Stage 2. The principle: eliminate before you automate — don't spend Stage 2/3 automating steps a lean pass would have deleted.
Step 3 — Stage 2: Digital Transformation Assessment (subagent)
Display:
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Stage 2: Diagnose automation suitability
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Launch the operations-automation-validation agent (./agents/operations-automation-validation.md), passing SIPOC_TABLE.
The agent will produce:
- Diagnostic table per step — Classification (four quadrants), Tech suggestion (LLM / State Machine / Rule-based / Human), ROI, Rationale
- Recommendation summary — which steps to transform now, which to defer
- A hand-off prompt to Stage 3
Store as DIAGNOSTIC_RESULT.
Ask the user which steps to redesign. Default: all steps marked ROI=High or ROI=Medium.
Step 4 — Stage 3: Process Redesign (subagent)
Display:
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Stage 3: Redesign — sub-tasks, layers, MVP stack
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For each selected step from DIAGNOSTIC_RESULT, launch the operations-process-redesign agent (./agents/operations-process-redesign.md) one step at a time.
Per step, the agent produces:
- Step title
- Redesign table (Sub-tasks × FE/BE/DB × Suggested tool)
- Flow type (Sequential / Decision Tree / Loop / Human-in-the-loop)
- MVP stack recommendation
- 1–3 sentence summary
After each step, ask:
Would you like to redesign the next diagnosed step? (Yes / Skip / Stop)
Step 5 — Final blueprint
Compile all step redesigns into a single deliverable:
- SIPOC map (Stage 1)
- Diagnostic table (Stage 2)
- Per-step redesign blueprints (Stage 3)
- Consolidated MVP stack (deduped across steps)
Ask:
Next steps:
1. Hand off blueprint to engineering team
2. Iterate on a specific step
3. Schedule a build session with peter_tu@zynkr.ai
Rules
- Stage 1 may ask discovery questions, but Stage 2 and Stage 3 must trust prior agent output — no re-diagnosing
- Always one question at a time during Stage 1
- Diagnostic table classifications are advisory; flag low-ROI steps but do not auto-skip them
- Never recommend LLM-only solutions for rule-based, low-frequency steps (cost mismatch)
