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Agent skill

Intercom Cost Tuning

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

Optimize Intercom API costs through caching, request reduction, and usage monitoring.

MITAuto-check passedBackend & APIs

Install Intercom Cost Tuning

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

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace intercom-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/intercom-cost-tuning .claude/skills/intercom-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
intercom-cost-tuning
GitHub stars
2.8k
Token cost
~1.5k tokens
SKILL.md length
621 words
Files
3 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Optimize Intercom API costs through caching, request reduction, and usage monitoring.

  • Works in 6 steps: Audit current API usage. Instrument… → Replace polling with webhooks. A… → Cache contact lookups. Wrap… → …
  • Analyzing Intercom API usage
  • SKILL.md covers Overview, Intercom Pricing Model, Prerequisites and Instructions, plus 6 more sections
  • Calls npm

What it does

Intercom Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize Intercom API costs through caching, request reduction, and usage monitoring. Use when analyzing Intercom API usage, reducing unnecessary requests, or implementing usage tracking and budget awareness. Trigger with phrases like "intercom cost", "intercom billing", "reduce intercom requests", "intercom pricing", "intercom usage", "intercom budget".

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/examples.md` and `references/implementation.md`). Compatibility notes: Designed for Claude Code

It sits in Backend & APIs, covering Caching. It works with Intercom. 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

  • Analyzing Intercom API usage
  • Reducing unnecessary requests
  • Implementing usage tracking and budget awareness
  • With phrases like intercom cost

Example prompts

  • “intercom cost”
  • “intercom billing”
  • “reduce intercom requests”
  • “/intercom-cost-tuning”

Requirements

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

Workflow steps

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

  1. Audit current API usage. Instrument every call with an IntercomUsageTracker that counts calls and average latency per endpoint, then…
  2. Replace polling with webhooks. A 30-second poll loop costs ~2,880 requests/day per check; a webhook subscription costs zero and fires…
  3. Cache contact lookups. Wrap contacts.find in an LRU cache (10-min TTL) and invalidate entries on contact.updated webhooks so repeat reads…
  4. Use search instead of list + client filter. One contacts.search / conversations.search returns up to 150 filtered results in a single…
  5. Batch conversation lookups. Replace per-id find loops with a single filtered conversations.search.
  6. Monitor request budget. A RequestBudgetMonitor warns at 80% of the limit and hard-stops at 95% to prevent 429 cascades.

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
    • Grep

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npm

    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):

    • developers.intercom.com
    • intercom.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

    From compatibility in the SKILL.md frontmatter.

Context cost

Intercom Cost Tuning loads about 1.5k tokens when it runs, and up to ~3.6k if it reads all its reference files. Until then it costs about 94 tokens; SKILL.md has 621 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~94
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.6k

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). 621 words, ~1,472 tokens.

Download SKILL.mdSave it as .claude/skills/intercom-cost-tuning/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
intercom-cost-tuning
description
Optimize Intercom API costs through caching, request reduction, and usage monitoring. Use when analyzing Intercom API usage, reducing unnecessary requests, or implementing usage tracking and budget awareness. Trigger with phrases like "intercom cost", "intercom billing", "reduce intercom requests", "intercom pricing", "intercom usage", "intercom budget".
allowed-tools
Read, Grep
compatibility
Designed for Claude Code
version
1.6.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, support, messaging, intercom

Intercom Cost Tuning

Overview

Reduce Intercom API costs through smart caching, search optimization, webhook-driven architecture, and usage monitoring. Intercom pricing is primarily seat-based and feature-based, but API efficiency reduces infrastructure costs and avoids rate limits.

Intercom Pricing Model

ComponentPricing BasisCost Driver
SeatsPer agent/monthNumber of teammates
Fin AI AgentPer resolutionAI-handled conversations
Proactive SupportPer message sentOutbound messages volume
Help CenterIncludedN/A
APIIncluded (rate-limited)Request volume determines infra cost

Key insight: The API itself is free to use, but hitting rate limits (10K req/min) forces you to build queuing infrastructure. Reducing requests saves engineering time and infrastructure costs.

Prerequisites

  • An Intercom workspace with an access token and the Node/TypeScript Intercom client installed.
  • lru-cache available for the contact-caching step (npm install lru-cache).
  • A public HTTPS endpoint to receive webhooks (Step 2) if you want to eliminate polling.
  • Read access to the integration source so you can audit call sites: use Grep to find polling loops (setInterval, .list() and Read to inspect the surrounding call site before refactoring.

Instructions

Work top-down — Steps 2-4 remove the most requests for the least code; Steps 1 and 6 confirm and protect the gains. Full copy-paste code for every step is in references/implementation.md.

  1. Audit current API usage. Instrument every call with an IntercomUsageTracker that counts calls and average latency per endpoint, then prints a rate estimate against the 10K req/min limit. You cannot cut what you have not measured.

  2. Replace polling with webhooks. A 30-second poll loop costs ~2,880 requests/day per check; a webhook subscription costs zero and fires instantly:

    typescript
    app.post("/webhooks/intercom", (req, res) => {
  const n = req.body;
  if (n.topic === "conversation.user.created") handleNewConversation(n.data.item);
  res.status(200).json({ received: true });
});

  3. Cache contact lookups. Wrap contacts.find in an LRU cache (10-min TTL) and invalidate entries on contact.updated webhooks so repeat reads never hit the API.

  4. Use search instead of list + client filter. One contacts.search / conversations.search returns up to 150 filtered results in a single request instead of paging every record and filtering in memory.

  5. Batch conversation lookups. Replace per-id find loops with a single filtered conversations.search.

  6. Monitor request budget. A RequestBudgetMonitor warns at 80% of the limit and hard-stops at 95% to prevent 429 cascades.

Show full SKILL.md (270 more words)Show less

Output

Applying this skill produces:

  • A per-endpoint usage report (call counts, average latency, estimated req/min vs the 10K limit) from Step 1.
  • A refactored integration where polling loops are replaced by webhook handlers, contact/conversation reads are cached or searched, and outbound calls pass through a budget guard.
  • A measurable request-volume reduction — e.g. polling checks dropping from thousands of requests/day to zero, and list+filter queries collapsing from N pages to a single search request.
  • Console warnings when request rate crosses 80% / 95% of the rate limit, replacing surprise 429 errors.

Cost Reduction Checklist

  • Replace polling loops with webhooks
  • Cache contact and conversation lookups (5-10 min TTL)
  • Use search instead of list + client-side filter
  • Batch related lookups into single search queries
  • Track API request volume per endpoint
  • Set up alerts at 80% rate limit usage
  • Remove unnecessary API calls in hot paths

Error Handling

IssueCauseSolution
Rate limited (429)Too many requestsImplement request queuing
Stale cached dataTTL too longUse webhook cache invalidation
High infra costsQueue + retry infrastructureReduce request volume first
Search too slowComplex querySimplify filters, reduce per_page

Examples

Worked, number-by-number scenarios are in references/examples.md:

  • Kill a polling loop — 3 checks × 2,880 req/day → 0 via webhooks.
  • Cache contact lookups — 50 find calls per inbox render → cache misses only.
  • Search instead of list — 4,000-contact pro-plan query from 80 requests → 1.
  • Budget guard under load — a bulk job self-paces below 10K req/min instead of taking a wall of 429s.

Resources

Next Steps

For architecture patterns, see the intercom-reference-architecture skill in this pack, and drill into references/implementation.md for the full step-by-step code.

© 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 2 other files (references) in skills/.curated/intercom-cost-tuning of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/examples.md
  • references/implementation.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

Intercom 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.

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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
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Works with

Categories

Questions about Intercom Cost Tuning

What does Intercom Cost Tuning do?

Optimize Intercom API costs through caching, request reduction, and usage monitoring. Intercom Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize Intercom API costs through caching, request reduction, and usage monitoring.

When should I use Intercom Cost Tuning?

Intercom Cost Tuning fits situations like: analyzing Intercom API usage; reducing unnecessary requests; implementing usage tracking and budget awareness; with phrases like intercom cost.

How do I install Intercom Cost Tuning in Claude Code?

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

How do I install Intercom Cost Tuning in Codex?

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

Can I use Intercom 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 intercom-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/intercom-cost-tuning, .gemini/skills/intercom-cost-tuning, .github/skills/intercom-cost-tuning and .opencode/skills/intercom-cost-tuning in your project.

What does Intercom Cost Tuning need to run?

Going by SKILL.md and its folder, Intercom Cost Tuning needs the command-line tools its instructions call (npm). Our summary lists: Node.js. Its frontmatter pre-approves these tools: Read, Grep. Compatibility (from SKILL.md): Designed for Claude Code.

Does Intercom Cost Tuning access the network?

SKILL.md names 2 domains. As links in the text: developers.intercom.com and intercom.com. This is read from the text; nothing was executed.

Is Intercom 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 Intercom Cost Tuning use?

Intercom 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 Intercom Cost Tuning use?

About 1.5k tokens (SKILL.md is roughly 5.9k 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 2.1k tokens, read only when the agent opens those files.

What are the alternatives to Intercom Cost Tuning?

Skills that share tags, products or a category with Intercom Cost 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 Intercom 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.