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Agent skill

Bamboohr Performance Tuning

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

Improve BambooHR sync throughput with dataset v2 projection, pagination, deterministic ordering, bounded concurrency, and measured caching.

MITAuto-check passedBackend & APIs

Install Bamboohr Performance Tuning

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

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace bamboohr-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/bamboohr-performance-tuning .claude/skills/bamboohr-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
bamboohr-performance-tuning
GitHub stars
2.8k
Token cost
~1.1k tokens
SKILL.md length
475 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Improve BambooHR sync throughput with dataset v2 projection, pagination, deterministic ordering, bounded concurrency, and measured caching.

  • Works in 7 steps: Establish baseline p50/p95 latency,… → Draw the request graph. Replace N+1… → Minimize fields, add deterministic… → …
  • An HR pipeline is slow
  • SKILL.md covers Overview, Prerequisites, Current Contract and Authentication, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Bamboohr Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Improve BambooHR sync throughput with dataset v2 projection, pagination, deterministic ordering, bounded concurrency, and measured caching. Use when an HR pipeline is slow or creates N+1 traffic. Trigger with "BambooHR performance", "BambooHR slow sync", or "optimize BambooHR pipeline".

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/official-docs.md`). Compatibility notes: Designed for Claude Code

It sits in Backend & APIs, covering Caching. 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

  • An HR pipeline is slow
  • Creates N+1 traffic
  • With BambooHR performance
  • BambooHR slow sync

Example prompts

  • “BambooHR performance”
  • “BambooHR slow sync”
  • “optimize BambooHR pipeline”
  • “/bamboohr-performance-tuning”

Requirements

  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Glob, Grep, Write, Edit

Workflow steps

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

  1. Establish baseline p50/p95 latency, request count by operation, page count,
  2. Draw the request graph. Replace N+1 employee reads with dataset v2 projections
  3. Minimize fields, add deterministic orderBy, and tune pageSize below the
  4. Stream or page through data and commit checkpoints only after destination
  5. Cache stable metadata such as dataset/field definitions with a bounded TTL.
  6. Add per-tenant concurrency control and reuse safe HTTP connections. Increase
  7. Compare exact record identities and reconciliation counts before and after.

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
    • 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

    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.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Bamboohr Performance Tuning loads about 1.1k tokens when it runs, and up to ~1.9k if it reads all its reference files. Until then it costs about 79 tokens; SKILL.md has 475 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~79
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.9k

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). 475 words, ~1,050 tokens.

Download SKILL.mdSave it as .claude/skills/bamboohr-performance-tuning/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
bamboohr-performance-tuning
description
Improve BambooHR sync throughput with dataset v2 projection, pagination, deterministic ordering, bounded concurrency, and measured caching. Use when an HR pipeline is slow or creates N+1 traffic. Trigger with "BambooHR performance", "BambooHR slow sync", or "optimize BambooHR pipeline".
allowed-tools
Read, Glob, Grep, Write, Edit
compatibility
Designed for Claude Code
argument-hint
<pipeline-path> <latency-or-volume-goal>
version
1.5.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, hr, bamboohr, performance, datasets
model
inherit
effort
high

BambooHR Performance Tuning

Overview

Optimize from a measured request graph while preserving completeness and privacy. The first objective is usually eliminating per-employee fan-out, not raising concurrency against an unknown tenant limit.

Prerequisites

  • The target repository or integration path and the requested operator outcome.
  • The tenant, identity, and data scope only when approved live work is in scope.
  • The current evidence register plus customer-specific permissions and agreements.

Current Contract

Dataset v2 returns selected fields with links and meta pagination and permits page sizes up to 1000 in the reviewed OpenAPI. Its request uses filter, orderBy, page, and pageSize. Dataset v1 data retrieval and custom-report paths carry deprecation notices and should not anchor new optimizations.

Authentication

Benchmark with the same auth mode and effective field permissions as production, but only in an approved test tenant or sanitized workload. Different identities can produce different shapes, so never compare results without recording the credential alias and permission set.

Instructions

  1. Establish baseline p50/p95 latency, request count by operation, page count, records and bytes received, retries, error rate, CPU/memory, destination time, and end-to-end freshness.
  2. Draw the request graph. Replace N+1 employee reads with dataset v2 projections where the required fields and semantics are supported.
  3. Minimize fields, add deterministic orderBy, and tune pageSize below the documented maximum based on payload, memory, latency, and 413 behavior.
  4. Stream or page through data and commit checkpoints only after destination durability. Do not load the complete workforce into memory by default.
  5. Cache stable metadata such as dataset/field definitions with a bounded TTL. Do not cache tokens or unrestricted employee payloads in a shared cache.
  6. Add per-tenant concurrency control and reuse safe HTTP connections. Increase parallelism only during a measured canary and watch 429 and tail latency.
  7. Compare exact record identities and reconciliation counts before and after. Roll back if freshness, completeness, permissions, or memory regresses.
Show full SKILL.md (164 more words)Show less

Tool Discipline

Use Read, Glob, and Grep to inspect the request graph and current metrics. Use Write/Edit for approved instrumentation, query changes, and tests. This skill does not authorize a production benchmark or HR-data export.

Approval Boundaries

Require approval before querying production, changing field selection or cache retention, increasing concurrency, or replacing a source endpoint. Performance does not justify silently omitting inactive or future-dated records.

Output

Return baseline and candidate metrics, request-graph delta, selected fields and pagination, cache/concurrency policy, reconciliation proof, canary scope, rollback thresholds, and measured result.

Error Handling

  • Faster but incomplete: reject the change and restore the last checkpoint.
  • 413: lower page size/field count and remeasure.
  • Rising 429 or tail latency: reduce concurrency and open the circuit.
  • Schema drift: quarantine the page rather than skipping fields or records.

Examples

  • "Make the nightly sync faster" begins with a request-count and reconciliation baseline.
  • "Run 100 workers" is replaced by a per-tenant canary with explicit stop thresholds.

Resources

Read official evidence before altering data access.

© 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

SKILL.md and 1 other file (references) in skills/.curated/bamboohr-performance-tuning of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/official-docs.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

Bamboohr 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.

Bamboohr Performance Tuning compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Bamboohr Performance Tuning this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.1kAutomated safety check: PassMIT
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FoundatioFoundatioFx/Foundatio2.1k—~3.9kAutomated safety check: PassApache-2.0
Wp Block Themesgambitph/Stackable3513 repos~985Automated safety check: PassGPL-3.0
Wp Performancegambitph/Stackable3513 repos~1.5kAutomated safety check: PassGPL-3.0
Effect Portable Patternsmillionco/expect3.6k—~3.7kAutomated safety check: PassCustom licence

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Categories

Questions about Bamboohr Performance Tuning

What does Bamboohr Performance Tuning do?

Improve BambooHR sync throughput with dataset v2 projection, pagination, deterministic ordering, bounded concurrency, and measured caching. Bamboohr Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Improve BambooHR sync throughput with dataset v2 projection, pagination, deterministic ordering, bounded concurrency, and measured caching.

When should I use Bamboohr Performance Tuning?

Bamboohr Performance Tuning fits situations like: an HR pipeline is slow; creates N+1 traffic; with BambooHR performance; bambooHR slow sync.

How do I install Bamboohr Performance Tuning in Claude Code?

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

How do I install Bamboohr Performance Tuning in Codex?

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

Can I use Bamboohr 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 bamboohr-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/bamboohr-performance-tuning, .gemini/skills/bamboohr-performance-tuning, .github/skills/bamboohr-performance-tuning and .opencode/skills/bamboohr-performance-tuning in your project.

What does Bamboohr Performance Tuning need to run?

SKILL.md names no scripts, command-line tools or credentials: Bamboohr Performance Tuning is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Glob, Grep, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code.

Does Bamboohr Performance Tuning 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 Bamboohr 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 Bamboohr Performance Tuning use?

Bamboohr 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 Bamboohr Performance Tuning use?

About 1.1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 831 tokens, read only when the agent opens those files.

What are the alternatives to Bamboohr Performance Tuning?

Skills that share tags, products or a category with Bamboohr Performance Tuning: Stripe Projects (fossasia/eventyay, 1.7k stars), Foundatio (FoundatioFx/Foundatio, 2.1k stars), Wp Block Themes (gambitph/Stackable, 351 stars) and Wp Performance (gambitph/Stackable, 351 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Bamboohr 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.