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Agent skill

Appfolio Cost Tuning

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

Optimize AppFolio API costs through efficient usage patterns.

MITAuto-check passedBusiness, Finance & HR

Install Appfolio Cost Tuning

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

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace appfolio-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/appfolio-cost-tuning .claude/skills/appfolio-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
appfolio-cost-tuning
GitHub stars
2.8k
Token cost
~1.6k tokens
SKILL.md length
596 words
Files
1
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Optimize AppFolio API costs through efficient usage patterns.

  • Works in 4 steps: Measure the existing call rate, cache… → Cache only the minimized, non-sensitive… → Use incremental reads or… → …
  • Business, Finance & HR work in your project
  • SKILL.md covers Overview, Prerequisites, Instructions and Cost Breakdown, plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Appfolio Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize AppFolio API costs through efficient usage patterns. Trigger: "appfolio cost".

Its SKILL.md is about 1.6k 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

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

  • Business, Finance & HR work in your project

Example prompts

  • “appfolio cost”
  • “/appfolio-cost-tuning”

Requirements

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

Workflow steps

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

  1. Measure the existing call rate, cache hit rate, payload sizes, and provider
  2. Cache only the minimized, non-sensitive fields required by the caller, with
  3. Use incremental reads or provider-supported events only after verifying the
  4. Stop or degrade non-critical work at the approved budget threshold and send

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
    • Write
    • Edit
    • Bash(npm:*)
    • Bash(curl:*)
    • Grep

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are typescript).

    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):

    • appfolio.com
    • engineering.appfolio.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

Appfolio Cost Tuning loads about 1.6k tokens when it runs. Until then it costs about 27 tokens; SKILL.md has 596 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~27
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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). 596 words, ~1,611 tokens.

Download SKILL.mdSave it as .claude/skills/appfolio-cost-tuning/SKILL.md (or your agent's skills folder).
name
appfolio-cost-tuning
description
Optimize AppFolio API costs through efficient usage patterns. Trigger: "appfolio cost".
allowed-tools
Read, Write, Edit, Bash(npm:*), Bash(curl:*), Grep
compatibility
Designed for Claude Code
version
1.5.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, property-management, appfolio, real-estate

AppFolio Cost Tuning

Overview

AppFolio Stack API pricing is partner-agreement based, with costs scaling by API call volume per managed property. Property management portfolios generate high-frequency reads for tenant lookups, lease status checks, and maintenance requests. Each redundant API call erodes margin on per-unit revenue. Optimizing call patterns directly impacts operational profitability, especially for portfolios managing hundreds or thousands of units where even small per-call costs compound rapidly.

Prerequisites

  • The current partner agreement’s actual billing, endpoint quota, export, and event-delivery terms; treat published examples as planning inputs, not price commitments.
  • A data classification and retention policy that prevents tenant, lease, and financial payloads from being retained in generic process memory or caches.
  • Per-endpoint call budgets, cache owners, and a reconciliation path for stale reads that could affect accounting, lease, or maintenance decisions.

Instructions

  1. Measure the existing call rate, cache hit rate, payload sizes, and provider charges by endpoint before changing a TTL or polling interval.
  2. Cache only the minimized, non-sensitive fields required by the caller, with a bounded size and an endpoint-specific freshness policy.
  3. Use incremental reads or provider-supported events only after verifying the partner capability and loss/replay semantics; otherwise use bounded polling.
  4. Stop or degrade non-critical work at the approved budget threshold and send stale or incomplete financial/lease data to an operator rather than guessing.

Cost Breakdown

ComponentCost DriverOptimization
Property/unit readsPer-call pricing on tenant and unit endpointsCache with 10-15 min TTL; property data changes infrequently
Lease operationsBulk lease queries across entire portfolioFetch all leases once, filter locally instead of per-unit calls
Maintenance requestsPolling for new work ordersUse verified provider events, or bounded incremental polling
Reporting exportsLarge payload downloads for financial reportsSchedule off-peak, cache results for 24h
Vendor/owner lookupsRepeated lookups for the same contactsBuild a local lookup table, refresh daily

API Call Reduction

typescript
class AppFolioCache {
  private cache = new Map<string, { data: unknown; expiry: number }>();
  private readonly maxEntries = 1_000;

  get(key: string): any | null {
    const entry = this.cache.get(key);
    if (!entry || Date.now() > entry.expiry) return null;
    return entry.data;
  }

  set(key: string, data: unknown, ttlMs = 600_000): void {
    if (this.cache.size >= this.maxEntries && !this.cache.has(key)) {
      this.cache.delete(this.cache.keys().next().value!);
    }
    this.cache.set(key, { data, expiry: Date.now() + ttlMs });
  }

  async fetchWithCache(endpoint: string, ttlMs?: number): Promise<any> {
    const cached = this.get(endpoint);
    if (cached) return cached;
    const response = await fetch(endpoint);
    const data = await response.json();
    this.set(endpoint, data, ttlMs);
    return data;
  }
}

Usage Monitoring

typescript
class AppFolioUsageMonitor {
  private calls: Array<{ endpoint: string; timestamp: number }> = [];
  private budgetLimit = 10_000; // daily call budget

  record(endpoint: string): void {
    this.calls.push({ endpoint, timestamp: Date.now() });
    const todayCalls = this.getTodayCount();
    if (todayCalls > this.budgetLimit * 0.8) {
      console.warn(`AppFolio API budget 80% consumed: ${todayCalls}/${this.budgetLimit}`);
    }
  }

  getTodayCount(): number {
    const startOfDay = new Date().setHours(0, 0, 0, 0);
    return this.calls.filter(c => c.timestamp > startOfDay).length;
  }
}

Cost Optimization Checklist

  • Cache property and unit data with 10-15 min TTL
  • Replace polling loops with verified event delivery or bounded incremental polling
  • Batch lease queries — fetch all, filter locally
  • Use incremental sync with modified_since parameter
  • Schedule report exports during off-peak hours
  • Build local lookup tables for vendors and owners
  • Set daily API call budget alerts at 80% threshold
  • Audit unused integrations consuming API quota
Show full SKILL.md (220 more words)Show less

Error Handling

IssueCauseFix
429 Too Many RequestsExceeded rate limitImplement exponential backoff with jitter
Stale cache serving old dataTTL too long for volatile dataReduce TTL for maintenance/lease endpoints to 2-5 min
Budget alerts firing dailyPolling loop running on short intervalSwitch to webhook-driven architecture
Duplicate API callsMultiple services fetching same dataCentralize through shared cache layer
Large payload timeoutsFetching full portfolio in single callPaginate requests, process in batches of 100

Output

  • A measured per-endpoint call and cache budget with an accountable owner
  • A bounded, minimized cache policy and a clear stale-data decision boundary
  • A documented decision to pause, defer, or reconcile work when the budget, provider capability, or data freshness requirement cannot be met

Examples

For a nightly property-status sync, capture a baseline call count and response size, cache only the property ID and permitted occupancy summary, and cap the cache at the approved entry count. Enable an incremental cursor only after a staging replay proves no records are lost; otherwise retain low-frequency, rate-limited polling. When the budget alert fires, stop non-critical refreshes and surface the age of the last verified result. Do not use cached or partial data to make a lease, payment, or safety decision without operator review.

Resources

Next Steps

See appfolio-performance-tuning.

© 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/appfolio-cost-tuning of jeremylongshore/tons-of-skills-marketplace.

Open the folder on GitHubat commit cfae287

Compare with similar skills

Appfolio 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.

Appfolio Cost Tuning compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Appfolio Cost Tuning this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.6kAutomated safety check: PassMIT
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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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Categories

Questions about Appfolio Cost Tuning

What does Appfolio Cost Tuning do?

Optimize AppFolio API costs through efficient usage patterns. Appfolio Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize AppFolio API costs through efficient usage patterns.

When should I use Appfolio Cost Tuning?

Appfolio Cost Tuning fits situations like: business, Finance & HR work in your project.

How do I install Appfolio Cost Tuning in Claude Code?

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

How do I install Appfolio Cost Tuning in Codex?

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

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

What does Appfolio Cost Tuning need to run?

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

Does Appfolio Cost Tuning access the network?

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

Is Appfolio 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 Appfolio Cost Tuning use?

Appfolio 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 Appfolio Cost Tuning use?

About 1.6k tokens (SKILL.md is roughly 6.4k 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 Appfolio Cost Tuning?

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