Performance capacity planning
Skill planifest/planifest-framework/planifest-framework/external-skills/performance-capacity-planning
Performance capacity planning workflow for forecasting demand, defining headroom policy, and preventing saturation-related SLO breaches. Use when traffic growth or workload forecasts require explicit capacity and threshold decisions; do not use for non-performance functional acceptance decisions.From its SKILL.md
npx -y skills add planifest/planifest-framework --skill performance-capacity-planningAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
1.9 KB, 317 tokens by cl100k_base, as published. Nobody here has run it
Performance Capacity Planning
Overview
Use this skill to build capacity plans that keep services reliable under growth and peak demand.
Scope Boundaries
- Use this skill when the task matches the trigger condition described in
description. - Do not use this skill when the primary task falls outside this skill's domain.
Shared References
- Capacity forecast rules:
references/capacity-forecast-rules.md
Templates And Assets
- Capacity model template:
assets/capacity-model-template.md
- Headroom policy template:
assets/headroom-policy-template.md
Inputs To Gather
- Current workload profile and growth assumptions.
- SLO/error-budget and availability constraints.
- Scaling mechanics and provisioning lead times.
- Peak-event and failure-mode scenarios.
Deliverables
- Capacity model with risk-based thresholds.
- Headroom policy by service tier.
- Forecast-driven scaling and escalation plan.
Workflow
- Build model in
assets/capacity-model-template.md. - Apply growth/headroom policy via
references/capacity-forecast-rules.md. - Define thresholds and escalation points.
- Validate against plausible growth and burst scenarios.
- Publish ownership and review cadence.
Quality Standard
- Forecast assumptions are explicit and testable.
- Headroom policy aligns with reliability objectives.
- Saturation thresholds trigger actionable responses.
Failure Conditions
- Stop when plan cannot support forecasted demand.
- Stop when thresholds are non-actionable.
- Escalate when capacity risk exceeds policy tolerance.
What ships with it: 1 file
11.3 KB alongside SKILL.md
- attribution.txt11.3 KB