Markitdown
ImCa0/just-laws
Convert files and office documents to Markdown. An agent skill from ImCa0/just-laws.
How many support agents does the queue actually need — Erlang C, computed, not 'tickets per agent' folklore.
Install Support Staffing Model
$ npx skills add mohitagw15856/pm-claude-skills --skill support-staffing-model -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mohitagw15856/pm-claude-skills support-staffing-model --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/support-staffing-model .claude/skills/support-staffing-model && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "support-staffing-model" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/support-staffing-model into .claude/skills/support-staffing-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "support-staffing-model", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/support-staffing-modelType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add mohitagw15856/pm-claude-skills --skill support-staffing-model -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mohitagw15856/pm-claude-skills support-staffing-model --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/support-staffing-model .agents/skills/support-staffing-model && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "support-staffing-model" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/support-staffing-model into .agents/skills/support-staffing-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "support-staffing-model", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mohitagw15856/pm-claude-skills --skill support-staffing-model -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mohitagw15856/pm-claude-skills support-staffing-model --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/support-staffing-model .cursor/skills/support-staffing-model && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "support-staffing-model" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/support-staffing-model into .cursor/skills/support-staffing-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "support-staffing-model", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/mohitagw15856/pm-claude-skills.git --path skills/support-staffing-model--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mohitagw15856/pm-claude-skills --skill support-staffing-model -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mohitagw15856/pm-claude-skills support-staffing-model --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/support-staffing-model .gemini/skills/support-staffing-model && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "support-staffing-model" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/support-staffing-model into .gemini/skills/support-staffing-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "support-staffing-model", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mohitagw15856/pm-claude-skills support-staffing-modelInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mohitagw15856/pm-claude-skills --skill support-staffing-model -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/support-staffing-model .github/skills/support-staffing-model && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "support-staffing-model" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/support-staffing-model into .github/skills/support-staffing-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "support-staffing-model", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mohitagw15856/pm-claude-skills --skill support-staffing-model -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mohitagw15856/pm-claude-skills support-staffing-model --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/support-staffing-model .opencode/skills/support-staffing-model && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "support-staffing-model" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/support-staffing-model into .opencode/skills/support-staffing-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "support-staffing-model", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
support-staffing-model- GitHub stars
- 1.4k
- Token cost
- ~852 tokens
- SKILL.md length
- 413 words
- Files
- 2 (incl. scripts)
- Skills in repo
- 1,348
- Repo updated
- First seen
- Licence
- MIT
At a glance
How many support agents does the queue actually need — Erlang C, computed, not 'tickets per agent' folklore.
- Works in 4 steps: The staffing table — for load scenarios… → The occupancy warning — anywhere… → The folklore contrast — the naive… → …
- Staffing a support/CS team
- SKILL.md covers Required Inputs, Output Format, Programmatic Helper and Quality Checks, plus 2 more sections
- Runs Python scripts from its folder; calls python3
What it does
Support Staffing Model is an agent skill from mohitagw15856/pm-claude-skills. How many support agents does the queue actually need — Erlang C, computed, not 'tickets per agent' folklore. Use when staffing a support/CS team, defending headcount, or checking whether an SLA is mathematically possible with the current roster. Produces agent counts across load scenarios (with shrinkage), occupancy and average-wait numbers, and a real .xlsx — via the bundled zero-dependency script.
Its SKILL.md is about 850 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/erlang_staffing.py`).
It sits in Documents & Office, covering Excel spreadsheets and Customer support. It works with Microsoft Excel. The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.
When your agent uses it
- Staffing a support/CS team
- Defending headcount
- Checking whether an SLA is mathematically possible with the current roster
Example prompts
- “tickets per agent”
- “/support-staffing-model”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- The staffing table — for load scenarios (0.8×, 1×, 1.25×, 1.5×): agents on-queue, rostered headcount after shrinkage, achieved service…
- The occupancy warning — anywhere occupancy exceeds ~90%, say plainly: the SLA may hold while the team burns out; staff for the humans.
- The folklore contrast — the naive tickets-per-agent number next to the Erlang answer, so the reader sees what the old method was hiding.
- Model limits, stated — M/M/c assumes Poisson arrivals; real queues are burstier, so these are floors.
What it can do on your machine
Read from SKILL.md and the folder at commit 1cbf1f0. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Support Staffing Model loads about 852 tokens when it runs. Until then it costs about 106 tokens; SKILL.md has 413 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 413 words, ~852 tokens.
Download SKILL.mdSave it as
.claude/skills/support-staffing-model/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- support-staffing-model
- description
- How many support agents does the queue actually need — Erlang C, computed, not 'tickets per agent' folklore. Use when staffing a support/CS team, defending headcount, or checking whether an SLA is mathematically possible with the current roster. Produces agent counts across load scenarios (with shrinkage), occupancy and average-wait numbers, and a real .xlsx — via the bundled zero-dependency script.
Support Staffing Model
Queues are counterintuitive: at high occupancy, one extra contact per hour explodes wait times, and "tickets ÷ tickets-per-agent" staffing walks teams straight into the cliff. Erlang C is the century-old math call centers run on; this skill runs it for you, honestly labelled.
Required Inputs
- Contacts per hour (peak hour, not daily average — queues die at peaks) and average handle time in minutes.
- The SLA — "X% answered within Y seconds/minutes". If none exists, propose one before staffing to it.
- Shrinkage — the fraction of paid time agents aren't available (meetings, breaks, training). Teams that skip this understaff by 30-40%; default 0.3.
Output Format
- The staffing table — for load scenarios (0.8×, 1×, 1.25×, 1.5×): agents on-queue, rostered headcount after shrinkage, achieved service level, average speed of answer, occupancy.
- The occupancy warning — anywhere occupancy exceeds ~90%, say plainly: the SLA may hold while the team burns out; staff for the humans.
- The folklore contrast — the naive tickets-per-agent number next to the Erlang answer, so the reader sees what the old method was hiding.
- Model limits, stated — M/M/c assumes Poisson arrivals; real queues are burstier, so these are floors.
Programmatic Helper
This skill ships scripts/erlang_staffing.py — zero dependencies; run it rather than approximating:
python3 scripts/erlang_staffing.py plan staffing.xlsx --arrivals 120 --aht 6 --sla 0.8 --answer-in 60 --shrinkage 0.3Prints the base case (base 15 on-queue / 22 rostered · SL 81% · ASA 38s · occ 80%) and writes an .xlsx with editable assumption cells and the scenario table. Requires a code-execution environment.
Show full SKILL.md (178 more words)Show less
Quality Checks
- Numbers come from the script's Erlang C computation, quoted — never estimated in prose
- Shrinkage is applied and its value stated; a 0% shrinkage plan is flagged as fiction
- Occupancy appears next to every scenario, with the >90% burnout warning where it triggers
- Peak-hour arrivals were used, or the answer says "daily average used — peaks will breach"
- The M/M/c floor-not-ceiling caveat is present
Anti-Patterns
- Do not staff to average load — the queue's whole cruelty lives in the peaks
- Do not present on-queue count as headcount — shrinkage is the difference between a model and a roster
- Do not chase 99% SLAs without showing the cost curve — the last few points of service level are where budgets go to die
- Do not ignore occupancy because the SLA passes — attrition is a lagging indicator of this exact number
- Do not use this for email/async queues with day-long SLAs without saying the model degrades — Erlang C is built for live channels
Example Trigger Phrases
- "Staffing a support/CS team."
- "Defend headcount."
- "Check whether an SLA is mathematically possible with the current roster."
© mohitagw15856, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (scripts) in skills/support-staffing-model of mohitagw15856/pm-claude-skills.
- SKILL.md
- scripts/erlang_staffing.py
Open the folder on GitHubat commit 1cbf1f0
Compare with similar skills
Support Staffing Model next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Support Staffing Model this skillmohitagw15856/pm-claude-skills | 1.4k | — | ~852 | Automated safety check: Pass | MIT | |
| MarkitdownImCa0/just-laws | 781 | 14 repos | ~3.2k | Automated safety check: Notes | MIT | |
| Data Table Managern8n-io/n8n | 207k | — | ~2.3k | Automated safety check: Pass | Custom licence | |
| Docx4jplutext/docx4j | 2.4k | — | ~2.5k | Automated safety check: Pass | None | |
| Instrument Data To Allotropeaws-samples/amazon-bedrock-agents-healthcare-lifesciences | 274 | 2 repos | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| Cyber Pptcrazyykhllc-bit/CyberPPT | 1.8k | — | ~10k | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about Support Staffing Model
What does Support Staffing Model do?
How many support agents does the queue actually need — Erlang C, computed, not 'tickets per agent' folklore. Support Staffing Model is an agent skill from mohitagw15856/pm-claude-skills. How many support agents does the queue actually need — Erlang C, computed, not 'tickets per agent' folklore.
When should I use Support Staffing Model?
Support Staffing Model fits situations like: staffing a support/CS team; defending headcount; checking whether an SLA is mathematically possible with the current roster.
How do I install Support Staffing Model in Claude Code?
Run `npx skills add mohitagw15856/pm-claude-skills --skill support-staffing-model -a claude-code`. Or copy the skill folder (skills/support-staffing-model in mohitagw15856/pm-claude-skills) into .claude/skills/support-staffing-model in your project. Claude Code loads it when a task matches its description.
How do I install Support Staffing Model in Codex?
Run `npx skills add mohitagw15856/pm-claude-skills --skill support-staffing-model -a codex`. Or copy the skill folder (skills/support-staffing-model in mohitagw15856/pm-claude-skills) into .agents/skills/support-staffing-model in your project. Codex loads it when a task matches its description.
Can I use Support Staffing Model in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mohitagw15856/pm-claude-skills --skill support-staffing-model -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/support-staffing-model, .gemini/skills/support-staffing-model, .github/skills/support-staffing-model and .opencode/skills/support-staffing-model in your project.
What does Support Staffing Model need to run?
Going by SKILL.md and its folder, Support Staffing Model needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Support Staffing Model access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Support Staffing Model safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Support Staffing Model use?
Support Staffing Model is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Support Staffing Model use?
About 852 tokens (SKILL.md is roughly 3.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Support Staffing Model?
Skills that share tags, products or a category with Support Staffing Model: Markitdown (ImCa0/just-laws, 781 stars), Data Table Manager (n8n-io/n8n, 207k stars), Docx4j (plutext/docx4j, 2.4k stars) and Instrument Data To Allotrope (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Support Staffing Model?
mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,434 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 9, 2026.
Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.