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workload-profiler

Convert an engineering task into a six-dimensional agent workload profile and deterministic routing recommendation.

Skill by EmbroiderSnow

IndexedMIT
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/embroidersnow-workload-profiler

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Convert an engineering task into a six-dimensional agent workload profile and deterministic routing recommendation. Use before designing a multi-agent topology or when deciding whether subagents add value.

Use cases: productivity, agent-building

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/workload-profiler

What's inside

Skill name
workload-profiler
Description
Convert an engineering task into a six-dimensional agent workload profile and deterministic routing recommendation. Use before designing a multi-agent topology or when deciding whether subagents add value.
License
MIT
Instructions
13 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (3)

  • SKILL.md
  • scoring-rubric.md · references/
  • score_workload.py · scripts/

SKILL.md (first lines)

Read applicable repository instructions and the task's objective, constraints, acceptance criteria, scope, and validators. Score decomposability, coupling, uncertainty, risk, verifiability, and repetition from 0 to 4 using `references/scoring-rubric.md`.

For every score, cite concrete task or repository evidence. Distinguish facts from assumptions. Do not inflate scores to justify more agents.

Write a JSON profile and run:

```bash
python3 scripts/score_workload.py profile.json --item-count <n>
```

Return the profile, routing recommendation, reasons, required controls, recommended autonomy, and cost class. A single-agent recommendation is a valid and preferred result for small tasks.

From EmbroiderSnow/Agent-Team-Design, MIT.

More from EmbroiderSnow/Agent-Team-Design

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Last commit (this folder)
Jul 10, 2026 (3 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
Repository
github.com/EmbroiderSnow/Agent-Team-Design
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

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workload-profiler skill. Agent Mart. https://agentmart.dev/skills/embroidersnow-workload-profiler (last updated 2026-10-24)