Agent skill

Workhuman Performance Tuning

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Measure and tune Workhuman adapter, worker-sync, recognition, reporting, and Store workflows within documented tenant limits.

MITAuto-check passedBusiness, Finance & HR

Install Workhuman Performance Tuning

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill workhuman-performance-tuning -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace workhuman-performance-tuning --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/workhuman-performance-tuning .claude/skills/workhuman-performance-tuning && rm -rf skills-src

Use ~/.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/

Facts

Skill name
workhuman-performance-tuning
GitHub stars
2.8k
Token cost
~1k tokens
SKILL.md length
376 words
Files
1
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Measure and tune Workhuman adapter, worker-sync, recognition, reporting, and Store workflows within documented tenant limits.

  • Works in 8 steps: Freeze the workflow, source and… → Measure queue time, service time,… → Isolate whether the bottleneck is… → …
  • With tune Workhuman performance
  • SKILL.md covers Overview, Prerequisites, Tool Discipline and Current Contract, plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Workhuman Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Measure and tune Workhuman adapter, worker-sync, recognition, reporting, and Store workflows within documented tenant limits. Use when tuning latency or throughput. Trigger with "tune Workhuman performance".

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Designed for Claude Code; load tests and production concurrency, schedule, cache, or batch changes require accountable-owner approval

It sits in Business, Finance & HR. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • With tune Workhuman performance

Example prompts

  • “tune Workhuman performance”
  • “/workhuman-performance-tuning”

Requirements

  • Compatibility (from SKILL.md): Designed for Claude Code; load tests and production concurrency, schedule, cache, or batch changes require accountable-owner approval
  • Pre-approved tools (allowed-tools): Read, Glob, Grep, WebFetch, Write, Edit

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. Freeze the workflow, source and destination, record volume, freshness, latency and throughput objectives, and correctness invariants.
  2. Measure queue time, service time, retries, throttling, batch duration, payload size, downstream latency, and reconciliation lag.
  3. Isolate whether the bottleneck is scheduling, serialization, network, vendor processing, HCM, reporting, Store, or downstream logic.
  4. Choose one controlled change: batching, bounded concurrency, connection reuse, field minimization, scheduling, checkpointing, or an…
  5. Define cache authority, key, tenant boundary, TTL, invalidation, sensitive fields, and staleness tolerance before caching.
  6. Test steady, burst, empty, duplicate, partial, timeout, throttle, downstream-slow, and recovery cases with synthetic data.
  7. Present expected gain, capacity impact, correctness proof, privacy effect, abort threshold, and rollback.
  8. Canary after approval and retain before-and-after percentiles, throughput, errors, reconciliation, and cost effects.

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Glob
    • Grep
    • WebFetch
    • Write
    • Edit

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • workhuman.com

    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.

  • Compatibility

    Designed for Claude Code; load tests and production concurrency, schedule, cache, or batch changes require accountable-owner approval

    From compatibility in the SKILL.md frontmatter.

Context cost

Workhuman Performance Tuning loads about 1k tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 376 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~59
When it runs · the whole SKILL.md, loaded when a task matches
~1k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 376 words, ~1,017 tokens.

Download SKILL.mdSave it as .claude/skills/workhuman-performance-tuning/SKILL.md (or your agent's skills folder).
name
workhuman-performance-tuning
description
Measure and tune Workhuman adapter, worker-sync, recognition, reporting, and Store workflows within documented tenant limits. Use when tuning latency or throughput. Trigger with "tune Workhuman performance".
allowed-tools
Read, Glob, Grep, WebFetch, Write, Edit
compatibility
Designed for Claude Code; load tests and production concurrency, schedule, cache, or batch changes require accountable-owner approval
argument-hint
[workflow] [service-level-objective]
version
1.4.0
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
tags
saas, workhuman, performance, reliability, optimization
model
inherit
effort
high

Workhuman Evidence-Based Performance Tuning

Overview

Improve an identified bottleneck while preserving correctness, freshness, privacy, financial integrity, and downstream capacity.

Prerequisites

  • A named workflow, current baseline, service-level objective, volume model, and bottleneck hypothesis
  • Customer-authorized capacity and behavior contracts for every dependent system
  • Synthetic load fixtures, reconciliation, abort thresholds, and rollback ownership

Tool Discipline

Use Read, Glob, and Grep to inspect code and telemetry, WebFetch for current vendor context, and Write or Edit for benchmarks, controls, tests, and redacted receipts.

Current Contract

Workhuman supports global recognition, rewards, reporting, open-API use, and managed integrations, but its public pages do not publish universal performance limits. Optimize against measured customer behavior and current documented boundaries.

Authentication

Keep principals tenant- and environment-scoped during measurement. Do not increase credentials or bypass governance to raise throughput.

Instructions

  1. Freeze the workflow, source and destination, record volume, freshness, latency and throughput objectives, and correctness invariants.
  2. Measure queue time, service time, retries, throttling, batch duration, payload size, downstream latency, and reconciliation lag.
  3. Isolate whether the bottleneck is scheduling, serialization, network, vendor processing, HCM, reporting, Store, or downstream logic.
  4. Choose one controlled change: batching, bounded concurrency, connection reuse, field minimization, scheduling, checkpointing, or an approved cache.
  5. Define cache authority, key, tenant boundary, TTL, invalidation, sensitive fields, and staleness tolerance before caching.
  6. Test steady, burst, empty, duplicate, partial, timeout, throttle, downstream-slow, and recovery cases with synthetic data.
  7. Present expected gain, capacity impact, correctness proof, privacy effect, abort threshold, and rollback.
  8. Canary after approval and retain before-and-after percentiles, throughput, errors, reconciliation, and cost effects.
Show full SKILL.md (118 more words)Show less

Approval Boundaries

Do not load-test production, increase concurrency or schedules, cache workforce or award data, or relax correctness and privacy controls without approval.

Output

Return the baseline, bottleneck evidence, selected change, test matrix, capacity and privacy review, canary comparison, reconciliation, and rollback status.

Error Handling

ConditionResponse
Faster result changes authoritative stateReject the optimization and preserve correctness.
Tail latency improves but errors riseRoll back and investigate retries or downstream saturation.
Limit is undocumentedUse a bounded customer-approved canary and request vendor guidance.

Example

A redacted completion receipt might look like this:

text
workflow=worker-sync; baseline-p95=18m; change=bounded-batches; canary-p95=9m; errors=unchanged; reconciliation=exact

Resources

Next Steps

Monitor the new baseline through one full business cycle and revert if correctness or downstream health regresses.

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/.curated/workhuman-performance-tuning of jeremylongshore/tons-of-skills-marketplace.

Open the folder on GitHubat commit cfae287

Compare with similar skills

Workhuman Performance Tuning 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.

Workhuman Performance Tuning compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Workhuman Performance Tuning this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1kAutomated safety check: PassMIT
Technical Analysttradermonty/claude-trading-skills3k4 repos~4.6kAutomated safety check: PassMIT
Theme Detectortradermonty/claude-trading-skills3k2 repos~4.9kAutomated safety check: PassMIT
Creating Financial ModelsChen-zexi/open-ptc-agent7293 repos~1.3kAutomated safety check: PassMIT
Stock APIzhangxiangliang/stock-api2k—~507Automated safety check: PassMIT
Itr Walakaranb192/itr-wala871—~3.6kAutomated safety check: PassMIT

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Questions about Workhuman Performance Tuning

What does Workhuman Performance Tuning do?

Measure and tune Workhuman adapter, worker-sync, recognition, reporting, and Store workflows within documented tenant limits. Workhuman Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Measure and tune Workhuman adapter, worker-sync, recognition, reporting, and Store workflows within documented tenant limits.

When should I use Workhuman Performance Tuning?

Workhuman Performance Tuning fits situations like: with tune Workhuman performance.

How do I install Workhuman Performance Tuning in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill workhuman-performance-tuning -a claude-code`. Or copy the skill folder (skills/.curated/workhuman-performance-tuning in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/workhuman-performance-tuning in your project. Claude Code loads it when a task matches its description.

How do I install Workhuman Performance Tuning in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill workhuman-performance-tuning -a codex`. Or copy the skill folder (skills/.curated/workhuman-performance-tuning in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/workhuman-performance-tuning in your project. Codex loads it when a task matches its description.

Can I use Workhuman Performance Tuning 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 jeremylongshore/tons-of-skills-marketplace --skill workhuman-performance-tuning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/workhuman-performance-tuning, .gemini/skills/workhuman-performance-tuning, .github/skills/workhuman-performance-tuning and .opencode/skills/workhuman-performance-tuning in your project.

What does Workhuman Performance Tuning need to run?

SKILL.md names no scripts, command-line tools or credentials: Workhuman Performance Tuning is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Glob, Grep, WebFetch, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code; load tests and production concurrency, schedule, cache, or batch changes require accountable-owner approval.

Does Workhuman Performance Tuning access the network?

SKILL.md names 1 domain. As links in the text: workhuman.com. This is read from the text; nothing was executed.

Is Workhuman Performance Tuning 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. Review the folder before installing.

What licence does Workhuman Performance Tuning use?

Workhuman Performance Tuning is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Workhuman Performance Tuning use?

About 1k tokens (SKILL.md is roughly 4.1k 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 Workhuman Performance Tuning?

Skills that share tags, products or a category with Workhuman Performance Tuning: Technical Analyst (tradermonty/claude-trading-skills, 3k stars), Theme Detector (tradermonty/claude-trading-skills, 3k stars), Creating Financial Models (Chen-zexi/open-ptc-agent, 729 stars) and Stock API (zhangxiangliang/stock-api, 2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Workhuman Performance Tuning?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.