Command
focused-fix
Deep-dive feature repair — systematically fix an entire feature/module across all its files and dependencies. Usage: /focused-fix <feature-path>
@alirezarezvaniView CommandAI & Agents
Command
/cs-capacity-plan
Model headcount + tooling capacity for ops teams (CX/Support/CS/BizOps/IT ops/Finance ops) using Erlang-C queueing math. Sizes the team around the bottleneck process-mapper found. NOT engineering capacity. Direct invocation of the capacity-planner skill.
Install
$ npx -y skills add alirezarezvani/claude-skills --agent claude-codeHow it fires
How this command gets triggered: by you, by Claude, or both.
- Fires itselfClaude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/cs-capacity-plan
Context preview
What this command does when you run it.
Model headcount + tooling capacity for ops teams (CX/Support/CS/BizOps/IT ops/Finance ops) using Erlang-C queueing math. Sizes the team around the bottleneck process-mapper found. NOT engineering capacity. Direct invocation of the capacity-planner skill.
Command definition
cs-capacity-plan.mddescription: Model headcount + tooling capacity for ops teams (CX/Support/CS/BizOps/IT ops/Finance ops) using Erlang-C queueing math. Sizes the team around the bottleneck process-mapper found. NOT engineering capacity. Direct invocation of the capacity-planner skill.
argument-hint: "<team + demand intake or path to capacity JSON>"
/cs:capacity-plan — Ops capacity sizing + utilization risk + hiring sequence
Run the `capacity-planner` skill on this input:
**$ARGUMENTS**
Three-tool workflow
1. **`capacity_modeler.py`** — Erlang-C / queueing math: required FTE at 70/80/90% utilization, P(SLA breach) per utilization level, capacity headroom. Industry tuning `--profile {support,cx,bizops,finance-ops,it-ops}`.
2. **`utilization_analyzer.py`** — Red-zone detection per team member: >85% sustained = throughput collapse (Little's Law), <40% = under-loaded or wrong skills, variance >30% = unbalanced. Verdict: HEALTHY / SQUEEZED / OVERLOADED / UNBALANCED.
3. **`hiring_sequencer.py`** — 12-month quarterly hiring plan accounting for ramp curve (50% productive weeks 1-N, 100% after) + attrition + growth. Surfaces "manager trigger" point (span of control >7-8 ICs).
Hard rule
**Never plan to 100% utilization.** Reinertsen 2009: utilization >80% in knowledge work destroys throughput via queueing.
Distinct from
- `c-level-advisor/vpe-advisor` — engineering throughput specifically. Capacity-planner is for non-eng ops teams.
- `c-level-advisor/chro-advisor` — strategic workforce planning. Capacity-planner is tactical sizing.
- `business-operations/skills/process-mapper` (sibling) — finds the bottleneck. Capacity-planner sizes the team around it.
- `project-management/*` — delivery tracking. Capacity-planner is forward sizing.
Read more
description: Model headcount + tooling capacity for ops teams (CX/Support/CS/BizOps/IT ops/Finance ops) using Erlang-C queueing math. Sizes the team around the bottleneck process-mapper found. NOT engineering capacity. Direct invocation of the capacity-planner skill. argument-hint: "<team + demand intake or path to capacity JSON>"
/cs:capacity-plan — Ops capacity sizing + utilization risk + hiring sequence
Run the `capacity-planner` skill on this input:
**$ARGUMENTS**
Three-tool workflow
1. **`capacity_modeler.py`** — Erlang-C / queueing math: required FTE at 70/80/90% utilization, P(SLA breach) per utilization level, capacity headroom. Industry tuning `--profile {support,cx,bizops,finance-ops,it-ops}`.
2. **`utilization_analyzer.py`** — Red-zone detection per team member: >85% sustained = throughput collapse (Little's Law), <40% = under-loaded or wrong skills, variance >30% = unbalanced. Verdict: HEALTHY / SQUEEZED / OVERLOADED / UNBALANCED.
3. **`hiring_sequencer.py`** — 12-month quarterly hiring plan accounting for ramp curve (50% productive weeks 1-N, 100% after) + attrition + growth. Surfaces "manager trigger" point (span of control >7-8 ICs).
Hard rule
**Never plan to 100% utilization.** Reinertsen 2009: utilization >80% in knowledge work destroys throughput via queueing.
Distinct from
- `c-level-advisor/vpe-advisor` — engineering throughput specifically. Capacity-planner is for non-eng ops teams.
- `c-level-advisor/chro-advisor` — strategic workforce planning. Capacity-planner is tactical sizing.
- `business-operations/skills/process-mapper` (sibling) — finds the bottleneck. Capacity-planner sizes the team around it.
- `project-management/*` — delivery tracking. Capacity-planner is forward sizing.
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388 production-ready Claude Code skills, plugins, and agent skills for 13 AI coding tools. The most comprehensive open-source library of Claude Code skills and agent plugins — also works with OpenAI Codex, Gemini CLI, Cursor, and 9 more coding agents.
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Python
Language
MIT
License
18d ago
Last commit
11mo ago
Created
Repo: alirezarezvani/claude-skills
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