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Agent skill

Ramp Cost Tuning

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

Reduce Ramp integration workload and operating cost without losing financial completeness.

MITAuto-check passedBusiness, Finance & HR

Install Ramp Cost Tuning

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

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

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

At a glance

Reduce Ramp integration workload and operating cost without losing financial completeness.

  • Works in 5 steps: Measure requests, pages, transferred… → Classify each poll as initial seed,… → Replace eligible near-real-time polling… → …
  • Accounting synchronization consumes excessive capacity
  • 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 Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Reduce Ramp integration workload and operating cost without losing financial completeness. Use when polling, storage, retries, or accounting synchronization consumes excessive capacity. Trigger with "optimize Ramp sync cost" or "reduce Ramp API calls".

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. 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

  • Accounting synchronization consumes excessive capacity
  • With optimize Ramp sync cost
  • Reduce Ramp API calls

Example prompts

  • “optimize Ramp sync cost”
  • “reduce Ramp API calls”
  • “/ramp-cost-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. Measure requests, pages, transferred bytes, retries, storage growth, reconciliation lag, webhook volume, and operator toil by endpoint and…
  2. Classify each poll as initial seed, supported incremental read, unsupported change detection, recovery reconciliation, or waste.
  3. Replace eligible near-real-time polling with scoped webhooks and a durable deduplicating queue; retain scheduled reconciliation for gaps.
  4. Use maximum safe page sizes, endpoint filters with verified semantics, bounded concurrency, conditional local reads, and batch operations…
  5. Compare pre/post completeness, latency, error rate, API demand, infrastructure cost, and recovery time before accepting the change.

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 Cost Tuning loads about 1.2k tokens when it runs, and up to ~1.5k if it reads all its reference files. Until then it costs about 67 tokens; SKILL.md has 545 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~67
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
~1.5k

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). 545 words, ~1,241 tokens.

Download SKILL.mdSave it as .claude/skills/ramp-cost-tuning/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
ramp-cost-tuning
description
Reduce Ramp integration workload and operating cost without losing financial completeness. Use when polling, storage, retries, or accounting synchronization consumes excessive capacity. Trigger with "optimize Ramp sync cost" or "reduce Ramp API calls".
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, cost, efficiency, webhooks

Ramp Integration Cost and Workload Tuning

Overview

Cost tuning is a correctness exercise: remove redundant retrieval, not evidence. Establish a complete baseline, shift change detection to webhooks where supported, and preserve periodic reconciliation for missed or non-evented changes.

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 recommends persisting an initial full sync locally and fetching new or changed records incrementally where endpoint semantics support it.
  • Incremental filters are endpoint-specific; for example, transaction synced_after covers accounting sync events, not every transaction update.
  • Webhooks reduce polling but do not remove the need for idempotent consumption and periodic reconciliation.
  • Batch and page limits are endpoint-specific and must be read from the current schema before tuning.

Instructions

  1. Measure requests, pages, transferred bytes, retries, storage growth, reconciliation lag, webhook volume, and operator toil by endpoint and entity.

  2. Classify each poll as initial seed, supported incremental read, unsupported change detection, recovery reconciliation, or waste.

  3. Replace eligible near-real-time polling with scoped webhooks and a durable deduplicating queue; retain scheduled reconciliation for gaps.

  4. Use maximum safe page sizes, endpoint filters with verified semantics, bounded concurrency, conditional local reads, and batch operations where documented.

  5. Compare pre/post completeness, latency, error rate, API demand, infrastructure cost, and recovery time before accepting the change.

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 (208 more words)Show less

Approval Boundaries

Data and accounting owners approve any freshness or retention change. Platform owners approve queue, schedule, and capacity changes; vendor limit increases require a documented support request.

Output

A cost baseline, endpoint demand map, proposed changes, completeness guardrails, benchmark results, rollback thresholds, and accountable owners.

Error Handling

ConditionResponse
Request count drops but records go missingRoll back and reconcile the full affected window; the optimization failed its correctness gate.
A filter name looks incrementalVerify its exact semantics in first-party docs before using it as a checkpoint.
Webhook volume spikesBackpressure the consumer and deduplicate; do not discard events or disable reconciliation silently.

Examples

Example 1

Replace five-minute bill polling with bill webhooks plus a nightly entity-scoped reconciliation.

Example 2

Persist a transaction seed locally and eliminate repeated full-history downloads while retaining a documented re-seed path.

Validation

  • Before and after datasets reconcile by entity, object ID, amount, currency, and status.
  • Freshness objectives and recovery windows are explicit.
  • No undocumented limit, filter, or batching guarantee is assumed.
  • Savings are measured without weakening audit, security, or incident evidence.

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-cost-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 Cost 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 Cost Tuning compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ramp Cost Tuning this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.2kAutomated safety check: PassMIT
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Radiology Tablehuang-sir1/radiology-skills1.9k—~1.3kAutomated safety check: PassCustom licence
ERPClaw ERP Controlleravansaber/erpclaw116—~18kAutomated safety check: PassGPL-3.0
Odoo Agency Fleet Reviewerpipe-org/mcp-odoo421—~699Automated safety check: PassMIT
Beancount Closebex-co/beancount-io297—~1.4kAutomated safety check: PassMIT

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Categories

Questions about Ramp Cost Tuning

What does Ramp Cost Tuning do?

Reduce Ramp integration workload and operating cost without losing financial completeness. Ramp Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Reduce Ramp integration workload and operating cost without losing financial completeness.

When should I use Ramp Cost Tuning?

Ramp Cost Tuning fits situations like: accounting synchronization consumes excessive capacity; with optimize Ramp sync cost; reduce Ramp API calls.

How do I install Ramp Cost Tuning in Claude Code?

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

How do I install Ramp Cost Tuning in Codex?

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

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

What does Ramp Cost Tuning need to run?

SKILL.md names no scripts, command-line tools or credentials: Ramp Cost 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 Cost 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 Cost 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 Cost Tuning use?

Ramp Cost 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 Cost 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 210 tokens, read only when the agent opens those files.

What are the alternatives to Ramp Cost Tuning?

Skills that share tags, products or a category with Ramp Cost Tuning: Sync Upstream (nyaruka/phonenumbers, 1.6k stars), Radiology Table (huang-sir1/radiology-skills, 1.9k stars), ERPClaw ERP Controller (avansaber/erpclaw, 116 stars) and Odoo Agency Fleet Review (erpipe-org/mcp-odoo, 421 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ramp Cost 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.