New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Ramp Performance Tuning

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

Analyze and tune Ramp pagination, concurrency, batching, webhooks, deferred tasks, and local persistence while preserving complete ordered reconciliation.

MITAuto-check passedBusiness, Finance & HR

Install Ramp Performance Tuning

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

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace ramp-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/ramp-performance-tuning .claude/skills/ramp-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
ramp-performance-tuning
GitHub stars
2.8k
Token cost
~1.2k tokens
SKILL.md length
550 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Analyze and tune Ramp pagination, concurrency, batching, webhooks, deferred tasks, and local persistence while preserving complete ordered reconciliation.

  • Works in 5 steps: Benchmark request latency, response… → Separate initial full seed, incremental… → Increase page size only within the… → …
  • Workloads encounter 504 responses
  • SKILL.md covers Overview, Prerequisites, Current Contract and Instructions, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ramp Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Analyze and tune Ramp pagination, concurrency, batching, webhooks, deferred tasks, and local persistence while preserving complete ordered reconciliation. Use when seeds are slow, syncs lag, or workloads encounter 504 responses. Trigger with "speed up Ramp sync" or "Ramp performance".

Its SKILL.md is about 1.2k 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: Requires current Ramp Developer API documentation and approved access for any live financial, card, identity, accounting, application, or configuration change

It sits in Business, Finance & HR, covering Accounting and bookkeeping and Webhooks. 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

  • Workloads encounter 504 responses
  • With speed up Ramp sync
  • Ramp performance

Example prompts

  • “speed up Ramp sync”
  • “Ramp performance”
  • “/ramp-performance-tuning”

Requirements

  • Compatibility (from SKILL.md): Requires current Ramp Developer API documentation and approved access for any live financial, card, identity, accounting, application, or configuration change
  • Pre-approved tools (allowed-tools): Read, Glob, Grep, Write, Edit

Workflow steps

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

  1. Benchmark request latency, response bytes, records per page, pages per entity, retries, 429/504 rate, queue lag, database time, and…
  2. Separate initial full seed, incremental reads, webhook-driven fetches, periodic reconciliation, writes, and deferred tasks into…
  3. Increase page size only within the endpoint schema, bound concurrency below the shared IP window, add jitter, and persist after each…
  4. Use webhooks to trigger targeted reads, batch only where documented, and poll deferred tasks with bounded schedules rather than holding…
  5. Load-test with synthetic or sandbox data, compare p50/p95/p99 plus completeness, then canary and retain rollback thresholds.

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

    Requires current Ramp Developer API documentation and approved access for any live financial, card, identity, accounting, application, or configuration change

    From compatibility in the SKILL.md frontmatter.

Context cost

Ramp Performance Tuning loads about 1.2k tokens when it runs, and up to ~1.4k if it reads all its reference files. Until then it costs about 77 tokens; SKILL.md has 550 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~77
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.4k

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). 550 words, ~1,243 tokens.

Download SKILL.mdSave it as .claude/skills/ramp-performance-tuning/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
ramp-performance-tuning
description
Analyze and tune Ramp pagination, concurrency, batching, webhooks, deferred tasks, and local persistence while preserving complete ordered reconciliation. Use when seeds are slow, syncs lag, or workloads encounter 504 responses. Trigger with "speed up Ramp sync" or "Ramp performance".
allowed-tools
Read, Glob, Grep, Write, Edit
compatibility
Requires current Ramp Developer API documentation and approved access for any live financial, card, identity, accounting, application, or configuration change
version
2.0.0
argument-hint
[integration-or-environment]
model
inherit
effort
high
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
tags
saas, ramp, performance, pagination, throughput

Ramp API Throughput and Sync Performance

Overview

Measure first, then tune by endpoint and object lifecycle. Maximize useful work per request while staying below shared limits and keeping checkpoints at durable commit boundaries.

Prerequisites

  • Identify the Ramp application, environment, business entities, affected data and workflows, accountable owner, and rollback boundary.
  • Read references/official-docs.md and re-check endpoint schemas, scopes, limits, and support status before a live operation.
  • Use synthetic fixtures or Ramp sandbox until production access and business effects are explicitly approved.
  • Prepare approved secret storage and a sanitized evidence location.

Current Contract

  • Ramp's default rate limit is 200 requests per rolling 10-second window per source IP, subject to current documentation and approved increases.
  • API requests exceeding 60 seconds return 504; pagination and smaller work units are the primary controls for large reads.
  • Most list endpoints support cursor-style pagination, but page sizes and incremental filters are endpoint-specific.
  • Accounting batch endpoints may have explicit item caps and all-or-nothing behavior; current schema controls each batch.

Instructions

  1. Benchmark request latency, response bytes, records per page, pages per entity, retries, 429/504 rate, queue lag, database time, and reconciliation duration.

  2. Separate initial full seed, incremental reads, webhook-driven fetches, periodic reconciliation, writes, and deferred tasks into independent budgets.

  3. Increase page size only within the endpoint schema, bound concurrency below the shared IP window, add jitter, and persist after each downstream commit.

  4. Use webhooks to trigger targeted reads, batch only where documented, and poll deferred tasks with bounded schedules rather than holding API requests open.

  5. Load-test with synthetic or sandbox data, compare p50/p95/p99 plus completeness, then canary and retain rollback thresholds.

Tool Discipline

  • Use Glob to locate candidate code, manifests, fixtures, and evidence without widening scope.
  • Use Grep to find relevant endpoints, fields, permissions, identifiers, errors, and stale assumptions.
  • Use Read to inspect the smallest required local files and authoritative evidence.
  • Use Write only for a new approved local draft, test, configuration, or evidence artifact.
  • Use Edit only for a bounded approved change with a known rollback.
  • Local file tools do not authorize a Ramp operation or replace owner approval.
Show full SKILL.md (204 more words)Show less

Approval Boundaries

Platform owners approve capacity and concurrency; data/accounting owners approve freshness and checkpoint changes; higher vendor limits require Ramp review.

Output

A workload model, benchmark, endpoint budget, concurrency/page configuration, checkpoint design, load-test result, canary evidence, and rollback thresholds.

Error Handling

ConditionResponse
Throughput rises with 429sLower and jitter concurrency across all workers sharing the source IP, then remeasure the rolling window.
Large pages trigger 504Reduce page or query scope and persist smaller committed units.
Checkpoint advances before downstream commitStop, rewind to the last durable checkpoint, and reconcile duplicates by source ID.

Examples

Example 1

Reduce a multi-entity seed from serial tiny pages to bounded entity workers with schema-maximum pages and one shared limiter.

Example 2

Replace bill status polling with webhooks plus targeted reads while retaining a scheduled full reconciliation.

Validation

  • Performance improves on measured latency or lag without missing or duplicating objects.
  • Rate and timeout behavior remains within the current documented contract.
  • Every cursor advances only after durable downstream commit.
  • Results include sandbox/load evidence and a bounded production canary.

Resources

  • Official documentation and contract notes
  • Re-check the dated contract and current OpenAPI schema before any live request.
  • Treat unresolved vendor behavior, authority, or financial state as a stop condition.

© 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/ramp-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

Ramp 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.

Ramp Performance Tuning compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ramp Performance Tuning this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.2kAutomated safety check: PassMIT
Pp Squaremvanhorn/printing-press-library2.1k—~15kAutomated safety check: NotesApache-2.0
Configure Authdotnet/skills5.6k1 repos~1.8kAutomated safety check: PassMIT
Sync State Invariantsopenchamber/openchamber11k—~2.7kAutomated safety check: PassMIT
Fastllm Limits Budgetsazrtydxb/Fastllm-proxy108—~467Automated safety check: PassApache-2.0
Unit Commitment Operating Rulesbenchflow-ai/skillsbench1.8k—~2kAutomated safety check: PassApache-2.0

Similar skills

  • Pp Square

    mvanhorn/printing-press-library

    The current Square v2 API surface, plus local reconciliation and retained history.

    2.1k GitHub stars~15k tokensUpdated yesterday
    Business, Finance & HRAuto-check: notes

  • Configure Auth

    dotnet/skills

    Official

    Add authentication and authorization to a Blazor Web App, accounting for the app's render mode.

    5.6k GitHub starsUsed in 1 repo~1.8k tokens
    Business, Finance & HRAuto-check passed

  • Sync State Invariants

    openchamber/openchamber

    A skill your agent uses when changing session synchronization, bootstrap or reconnect state, event reducers, polling, optimistic updates, message queues, live activity, ordering/reconciliation…

    11k GitHub stars~2.7k tokensUpdated today
    Business, Finance & HRAuto-check passed

  • Fastllm Limits Budgets

    azrtydxb/Fastllm-proxy

    Inspect and reconcile FastLLM spend and rate limits — read global budgets and limits, trigger limit reconciliation across replicas, and sync provider prices.

    108 GitHub stars~467 tokensUpdated 6 days ago
    Business, Finance & HRAuto-check passed

  • Unit Commitment Operating Rules

    benchflow-ai/skillsbench

    A skill your agent uses for day-ahead or multi-period unit commitment problems, including thermal on/off schedules, dispatch, startup/shutdown logic, minimum up/down time, ramping, spinning reserve…

    1.8k GitHub stars~2k tokensUpdated 2 mo ago
    Business, Finance & HRAuto-check passed

  • Me Featured Events

    aiskillstore/marketplace

    Configure and run ME Event activity subscriptions from api.me.news.

    433 GitHub stars~1.2k tokensUpdated yesterday
    Business, Finance & HRAuto-check passed

More from jeremylongshore/tons-of-skills-marketplace

All 3,342 skills in this repo

  • Performing Security Code Review

    jeremylongshore/tons-of-skills-marketplace

    Execute this skill enables AI assistant to conduct a security-focused code review using the security-agent plugin.

    2.8k GitHub starsUsed in 2 repos~1.3k tokens
    Auto-check: notes

  • Adapting Transfer Learning Models

    jeremylongshore/tons-of-skills-marketplace

    Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.

    2.8k GitHub stars~1.1k tokensUpdated today
    Auto-check passed

  • Agent Context Loader

    jeremylongshore/tons-of-skills-marketplace

    Execute proactive auto-loading: automatically detects and loads agents.md files.

    2.8k GitHub stars~1.1k tokensUpdated today
    Auto-check passed

  • Aggregating Performance Metrics

    jeremylongshore/tons-of-skills-marketplace

    Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.

    2.8k GitHub stars~1.2k tokensUpdated today
    Auto-check passed

  • Analyzing Capacity Planning

    jeremylongshore/tons-of-skills-marketplace

    Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth.

    2.8k GitHub stars~947 tokensUpdated today
    Auto-check passed

  • Analyzing Database Indexes

    jeremylongshore/tons-of-skills-marketplace

    Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.

    2.8k GitHub stars~2k tokensUpdated today
    Auto-check passed

Categories

Questions about Ramp Performance Tuning

What does Ramp Performance Tuning do?

Analyze and tune Ramp pagination, concurrency, batching, webhooks, deferred tasks, and local persistence while preserving complete ordered reconciliation. Ramp Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Analyze and tune Ramp pagination, concurrency, batching, webhooks, deferred tasks, and local persistence while preserving complete ordered reconciliation.

When should I use Ramp Performance Tuning?

Ramp Performance Tuning fits situations like: workloads encounter 504 responses; with speed up Ramp sync; ramp performance.

How do I install Ramp Performance Tuning in Claude Code?

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

How do I install Ramp Performance Tuning in Codex?

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

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

What does Ramp Performance Tuning need to run?

SKILL.md names no scripts, command-line tools or credentials: Ramp Performance Tuning is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Glob, Grep, Write, Edit. Compatibility (from SKILL.md): Requires current Ramp Developer API documentation and approved access for any live financial, card, identity, accounting, application, or configuration change.

Does Ramp 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 Ramp 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 Ramp Performance Tuning use?

Ramp 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 Ramp Performance Tuning use?

About 1.2k tokens (SKILL.md is roughly 5k 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 207 tokens, read only when the agent opens those files.

What are the alternatives to Ramp Performance Tuning?

Skills that share tags, products or a category with Ramp Performance Tuning: Pp Square (mvanhorn/printing-press-library, 2.1k stars), Configure Auth (dotnet/skills, 5.6k stars), Sync State Invariants (openchamber/openchamber, 11k stars) and Fastllm Limits Budgets (azrtydxb/Fastllm-proxy, 108 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ramp 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.