capacity

by mikeclaw007

Install this Skill

curl -fsSL -o capacity.zip https://skill.seembox.com/api/v1/skills/capacity/download && unzip capacity.zip

SKILL.md About

---
name: capacity
description: "Forecasting load, headroom, and scaling plans. Use before big launches or cost reviews."
---

# Capacity

Structured guidance for **capacity planning** (load, headroom, scaling): confirm triggers, propose the stages below, and adapt if the user wants a lighter pass.

## When to Offer This Workflow

**Trigger conditions:**
- User mentions **capacity**, **headroom**, **scaling plans**, or closely related work
- They want a structured workflow rather than ad-hoc tips
- They are preparing a review, rollout, or stakeholder communication

**Initial offer:**
Explain the four stages briefly and ask whether to follow this workflow or work freeform. If they decline, continue in their preferred style.

## Workflow Stages

### Stage 1: Clarify context & goals

Anchor on **growth assumptions and seasonality**. Ask what success looks like, constraints, and what must not break. Capture unknowns early.

### Stage 2: Design or plan the approach

Translate goals into a concrete plan around **headroom and bottlenecks**. Compare alternatives and explicit trade-offs; avoid implicit assumptions.

### Stage 3: Implement, validate, and harden

Execute with verification loops tied to **cost vs performance trade-offs**. Prefer small steps, measurable checks, and rollback points where risk is high.

### Stage 4: Operate, communicate, and iterate

Close the loop with **load tests and forecasts**: monitoring, documentation, stakeholder updates, and lessons learned for the next cycle.

## Checklist Before Completion

- Goals and constraints are explicit for **capacity** planning
- Risks and trade-offs are stated, not hand-waved
- Verification steps match the change’s impact (tests, canary, peer review)
- Operational follow-through is covered (monitoring, docs, owners)

## Tips for Effective Guidance

- Be procedural: stage-by-stage, with clear exit criteria
- Ask for missing context (environment, scale, deadlines) before prescribing
- Prefer checklists and concrete examples over generic platitudes
- If the user declines the workflow, switch to freeform help without lecturing

## Handling Deviations

- If the user wants to skip a stage: confirm and continue with what they need.
- If context is missing: ask targeted questions before strong recommendations.
- Prefer concrete examples, trade-offs, and verification steps over generic advice.

## Quality Bar

- Each recommendation should be **actionable** (what to do next).
- Call out **failure modes** relevant to capacity (security, scale, UX, or ops).
- Keep tone direct and respectful of the user’s time.

_meta.json Metadata

{
  "ownerId": "kn736js06krgvrxx1g1jkqw0h9831z63",
  "publishedAt": 1774606333586,
  "slug": "capacity",
  "version": "1.0.0"
}