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chore: import upstream snapshot with attribution
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---
title: "/cs-process-map — Slash Command for AI Coding Agents"
description: "Map an internal business process (BPMN-style swim lanes), measure cycle time, and detect bottlenecks where work spends most of its time waiting. Slash command for Claude Code, Codex CLI, Gemini CLI."
---
# /cs-process-map
<div class="page-meta" markdown>
<span class="meta-badge">:material-console: Slash Command</span>
<span class="meta-badge">:material-github: <a href="https://github.com/alirezarezvani/2-claude-skills/tree/main/business-operations/commands/cs-process-map.md">Source</a></span>
</div>
Run the `process-mapper` skill on this input:
**$ARGUMENTS**
## Three-tool workflow
1. **`process_documenter.py`** — Document the process as a BPMN-ish ASCII swim lane diagram. Input: stage list (name, owner, type{value-add/wait/rework}, P50 + P90 duration). Output: markdown diagram + normalized JSON.
2. **`bottleneck_detector.py`** — Identify bottlenecks. Triggers: stage P50 > 2× mean of value-add stages, OR wait-state % > 40% of total, OR rework % > 15%. Tunable via `--profile {saas,services,manufacturing,healthcare}`.
3. **`cycle_time_analyzer.py`** — Compute total cycle time (P50, P90), value-add ratio (VA%), Little's Law throughput. Verdict: VA% > 25% HEALTHY / 10-25% TYPICAL / <10% WASTE-HEAVY.
## Output
- Process diagram (markdown)
- Bottleneck list with severity + recommended action
- Cycle-time scorecard with VA% verdict
- Top 3 next actions
## Distinct from
- `engineering/slo-architect` — that's system reliability with SLO/SLI. This is **business process** reliability.
- `engineering/llm-wiki` — that's personal PKM. This is **company process documentation**.
- `c-level-advisor/coo-advisor` — that's strategic COO judgment. This is **tactical process mapping**.