Manage Lindy AI credits, rate limits, and usage optimization.

MITAuto-check passedBackend & APIs

Install Lindy Rate Limits

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill lindy-rate-limits -a claude-code

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

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

At a glance

Manage Lindy AI credits, rate limits, and usage optimization.

  • Works in 6 steps: Establish current limits and a local… → Fail closed before attaching the trigger… → Validate and deduplicate before enqueue → …
  • Hitting rate limits
  • SKILL.md covers Overview, Prerequisites, Instructions and Output, plus 3 more sections
  • Needs LINDY_TRIGGER_SECRET

What it does

Lindy Rate Limits is an agent skill from jeremylongshore/tons-of-skills-marketplace. Manage Lindy AI credits, rate limits, and usage optimization. Use when hitting rate limits, optimizing credit consumption, or implementing usage controls. Trigger with phrases like "lindy rate limit", "lindy credits", "lindy quota", "lindy throttling", "lindy API limits".

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/implementation-guide.md` and `references/implementation.md`). Compatibility notes: Compatible with AI coding agents that can read Markdown and review application code

It sits in Backend & APIs, covering Rate limiting. 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

  • Hitting rate limits
  • Optimizing credit consumption
  • Implementing usage controls
  • With phrases like lindy rate limit

Example prompts

  • “lindy rate limit”
  • “lindy credits”
  • “lindy quota”
  • “/lindy-rate-limits”

Requirements

  • A credential in LINDY_TRIGGER_SECRET
  • Compatibility (from SKILL.md): Compatible with AI coding agents that can read Markdown and review application code
  • Pre-approved tools (allowed-tools): Read, Write, Edit

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Establish current limits and a local safety policy
  2. Fail closed before attaching the trigger secret
  3. Validate and deduplicate before enqueue
  4. Throttle across the whole deployment
  5. Check responses and retry only transient outcomes
  6. Monitor and tune from evidence

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

    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 and yaml).

    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):

    • docs.lindy.ai

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • LINDY_TRIGGER_SECRET

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Compatible with AI coding agents that can read Markdown and review application code

    From compatibility in the SKILL.md frontmatter.

Context cost

Lindy Rate Limits loads about 2k tokens when it runs, and up to ~5.9k if it reads all its reference files. Until then it costs about 73 tokens; SKILL.md has 838 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~73
When it runs · the whole SKILL.md, loaded when a task matches
~2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.9k

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). 838 words, ~1,994 tokens.

Download SKILL.mdSave it as .claude/skills/lindy-rate-limits/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
lindy-rate-limits
description
Manage Lindy AI credits, rate limits, and usage optimization. Use when hitting rate limits, optimizing credit consumption, or implementing usage controls. Trigger with phrases like "lindy rate limit", "lindy credits", "lindy quota", "lindy throttling", "lindy API limits".
allowed-tools
Read, Write, Edit
compatibility
Compatible with AI coding agents that can read Markdown and review application code
version
1.20.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, lindy, api

Lindy Rate Limits and Credits

Overview

Build application-side controls for Lindy webhook-trigger traffic and workspace usage. Lindy plan terms, prices, credit rules, and service limits can vary or change; obtain them from the current workspace and contract instead of copying fixed commercial numbers into code.

Use Read to inspect the caller and Write or Edit to implement its policy. This skill does not assume an undocumented Lindy REST API or SDK.

Prerequisites

  • The exact webhook URL generated by the target Lindy trigger.
  • A nonempty secret generated for that trigger and stored in a secret manager.
  • Current workspace or contract evidence for credits, quotas, and entitlements.
  • A shared atomic store for admission control and idempotency when more than one process or instance can send triggers.
  • A durable queue with dead-letter handling for work that may need retries.
  • An approved bounded payload schema and a synthetic, non-sensitive test case.

Instructions

Step 1: Establish current limits and a local safety policy

Record the evidence source and review date for every Lindy-provided credit or service constraint. Then choose application-owned controls independently:

  • maximum admitted events per tenant and workload;
  • maximum queue depth and age;
  • maximum serialized payload size;
  • retry count and total retry deadline;
  • concurrency per worker pool; and
  • warning, shedding, and stop thresholds.

These are local risk controls, not claims about Lindy's service limits. Review them from observed traffic, task outcomes, and the organization's budget.

Step 2: Fail closed before attaching the trigger secret

Parse the configured URL; require protocol https:, hostname exactly public.lindy.ai, no username or password, and the expected webhook path. Reject an empty trigger secret. Never send the trigger secret to a callback receiver or reuse a callback secret for the outbound trigger.

typescript
const triggerUrl = new URL(process.env.LINDY_TRIGGER_URL ?? '');
const triggerSecret = process.env.LINDY_TRIGGER_SECRET ?? '';

if (
  triggerUrl.protocol !== 'https:' ||
  triggerUrl.hostname !== 'public.lindy.ai' ||
  triggerUrl.username !== '' ||
  triggerUrl.password !== '' ||
  !triggerUrl.pathname.startsWith('/api/v1/webhooks/')
) {
  throw new Error('Refusing to send a trigger secret outside the expected Lindy webhook URL');
}
if (triggerSecret.length === 0) throw new Error('LINDY_TRIGGER_SECRET is required');
Step 3: Validate and deduplicate before enqueue

Allow only documented fields, types, lengths, and enumerated values. Reject unknown fields and payloads above the locally chosen byte limit. Require a stable requestId from the business event.

Atomically reserve that ID in a shared idempotency store before enqueueing. Put the validated event into a durable queue and reuse the same ID for every retry. Do not assume an Idempotency-Key header is honored by Lindy; the caller owns the deduplication ledger unless current Lindy documentation explicitly proves otherwise.

Step 4: Throttle across the whole deployment

Use an atomic token bucket, leaky bucket, or concurrency semaphore in the shared store, keyed by the isolation boundary such as tenant plus agent. A process-local counter protects only one process and is insufficient for horizontally scaled or serverless callers.

The safe path is:

text
bounded input -> shared idempotency claim -> durable queue
              -> shared admission control -> webhook worker -> outcome ledger

When capacity is unavailable, leave the event queued or reject it explicitly. Do not busy-loop or allow every instance to retry independently.

Step 5: Check responses and retry only transient outcomes
  • Treat a 2xx response as transport acceptance, not proof of completed work.
  • Treat authentication and other non-retryable 4xx responses as permanent failure.
  • Retry only explicitly transient outcomes such as 408, 429, or selected 5xx responses, with capped exponential backoff and jitter.
  • Honor a valid Retry-After only up to the local maximum delay.
  • Bound attempts and total elapsed time; dead-letter the event when exhausted.
  • Record status class, attempt, latency, and request ID, never the secret or full payload.
  • Corroborate successful task creation in the Lindy Tasks view or through an authenticated callback carrying the same request ID.

The detailed reference includes a secure TypeScript worker and shared-store contract: implementation details.

Show full SKILL.md (280 more words)Show less
Step 6: Monitor and tune from evidence

Track admitted, queued, shed, retried, dead-lettered, and corroborated events; queue age; response status classes; and workspace usage from available Lindy views. Alert on a sustained change from the observed baseline. Revisit the local policy whenever the plan, workspace configuration, workload, or deployment shape changes.

Output

Produce a rate-control design containing:

  • dated sources for current Lindy constraints and credit information;
  • the local admission, payload, concurrency, queue, and retry policy;
  • exact trust boundaries for trigger and callback secrets;
  • bounded schema and shared idempotency key design;
  • durable-queue, shared-throttling, and dead-letter behavior;
  • response classification and task-corroboration rules;
  • dashboards, alerts, owners, and review cadence; and
  • test evidence for duplicates, bursts, transient failures, permanent failures, worker restarts, and multi-instance contention.

Examples

Policy record without invented service limits
yaml
evidence:
  lindy_constraints: workspace billing and task views reviewed on YYYY-MM-DD
local_policy:
  payload_schema: trigger-event-v2
  payload_bytes: organization-approved bound
  admission_key: tenant_id + agent_id
  idempotency_key: source_event_id
  retryable_statuses: [408, 429, selected_5xx]
  terminal_action: dead_letter_and_alert
verification:
  task_creation: correlate requestId in the Lindy Tasks view
Duplicate-delivery test

Submit the same synthetic requestId concurrently through two application instances. Pass only when one durable job is created, at most one webhook attempt is admitted for that business event, and the duplicate outcome is observable.

Error Handling

ConditionRequired behavior
URL is not HTTPS on exact public.lindy.ai hostReject before attaching the trigger secret
Secret is emptyFail startup or configuration validation
Payload is unknown, malformed, or oversizedReject before idempotency claim or enqueue
Duplicate request IDReturn the recorded disposition; do not repeat the side effect
401/403 or other permanent 4xxStop retrying, redact logs, alert the owner
408/429/selected 5xxApply bounded backoff with jitter, then dead-letter
Shared store unavailableFail closed or keep work durable; do not fall back silently to per-process limits
2xx without task corroborationMark accepted but unverified and investigate

Resources

© 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/lindy-rate-limits of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/implementation-guide.md
  • references/implementation.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

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Categories

Questions about Lindy Rate Limits

What does Lindy Rate Limits do?

Manage Lindy AI credits, rate limits, and usage optimization. Lindy Rate Limits is an agent skill from jeremylongshore/tons-of-skills-marketplace. Manage Lindy AI credits, rate limits, and usage optimization.

When should I use Lindy Rate Limits?

Lindy Rate Limits fits situations like: hitting rate limits; optimizing credit consumption; implementing usage controls; with phrases like lindy rate limit.

How do I install Lindy Rate Limits in Claude Code?

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

How do I install Lindy Rate Limits in Codex?

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

Can I use Lindy Rate Limits 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 lindy-rate-limits -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lindy-rate-limits, .gemini/skills/lindy-rate-limits, .github/skills/lindy-rate-limits and .opencode/skills/lindy-rate-limits in your project.

What does Lindy Rate Limits need to run?

Going by SKILL.md and its folder, Lindy Rate Limits needs credentials named LINDY_TRIGGER_SECRET. Our summary lists: A credential in LINDY_TRIGGER_SECRET. Its frontmatter pre-approves these tools: Read, Write, Edit. Compatibility (from SKILL.md): Compatible with AI coding agents that can read Markdown and review application code.

Does Lindy Rate Limits access the network?

SKILL.md names 1 domain. As links in the text: docs.lindy.ai. This is read from the text; nothing was executed.

Is Lindy Rate Limits 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 Lindy Rate Limits use?

Lindy Rate Limits 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 Lindy Rate Limits use?

About 2k tokens (SKILL.md is roughly 8k 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 3.9k tokens, read only when the agent opens those files.

What are the alternatives to Lindy Rate Limits?

Skills that share tags, products or a category with Lindy Rate Limits: Add Hosted Key (simstudioai/sim, 30k stars), Upstash Ratelimit TS (upstash/ratelimit-js, 2k stars), Repo2skill (zhangyanxs/repo2skill, 246 stars) and Better Auth Security Best Practices (EpicenterHQ/epicenter, 4.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Lindy Rate Limits?

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.