Pier Cloud

Community

fabricioctelles

pier-cloud

This skill should be used when the user needs to consume the Pier Cloud (Lighthouse) API for cloud cost management — including JWT authentication, listing contexts, workspaces, and FinOps data views. Trigger whenever there is a need to integrate, automate, or debug calls to the Pier Cloud platform via Python, Node.js, or cURL.

Overview

Publisher	fabricioctelles
Repository	`skills`
Skill name	`pier-cloud`
Stars	87
Forks	7
Bundled files	12
License	Apache-2.0
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
12 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by fabricioctelles on GitHub. Read the source before you install it.

Installation

Install the Pier Cloud AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/fabricioctelles/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/pier-cloud .claude/skills/pier-cloud

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pier Cloud in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Pier Cloud on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Pier Cloud is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Pier Cloud API

Prerequisites

Credentials

Locate the .env file in the skill directory with the following variables:

env
PIERCLOUD_CLIENT_ID=your_client_id
PIERCLOUD_CLIENT_SECRET=your_client_secret
PIERCLOUD_TENANCY_ID=your_tenancy_id

If the .env file does not exist, inform the user that credentials must be obtained from the Pier Cloud platform before proceeding. Do not proceed without the .env file.

Note: PIERCLOUD_TENANCY_ID is equivalent to the former PIERCLOUD_BUSINESS_ID. Scripts accept both as fallback.

Python Dependencies

bash
pip install requests python-dotenv

Basic Configuration

The API uses JWT authentication. Required flow:

Authenticate via POST /auth with client_id and client_secret to obtain a JWT token
Include the token in all requests: Authorization: Bearer {token}
Renew the token upon expiration (default validity: 1 hour)

Base URL: https://api.piercloud.io

Verify the connection by running:

bash
python scripts/pier-cloud-auth.py

Available Scripts

Ready-to-use scripts in scripts/. See scripts/README.md for detailed instructions.

Script	Description
`pier-cloud-auth.py`	Authenticate and obtain JWT token
`pier-cloud-list-contexts.py`	List available contexts
`pier-cloud-list-workspaces.py`	List workspaces with pagination
`pier-cloud-get-workspace.py`	Get specific workspace details
`pier-cloud-get-all-workspaces.py`	Get all workspaces (automatic pagination)
`pier-cloud-list-views.py`	List views for a workspace
`pier-cloud-get-view.py`	Get specific view information
`pier-cloud-get-view-data.py`	Get view data with filters
`pier_cloud_client.py`	Robust client with CLI and reusable library

Note: Workspace-groups scripts (pier-cloud-list-workspace-groups.py, pier-cloud-get-workspace-group.py) do not work — the corresponding endpoints do not exist in the current API.

Workflows

Follow the detailed workflows with request and response examples in references/REFERENCE.md:

Workflow 1 — Authentication and Token Retrieval
Workflow 2 — List Contexts
Workflow 3 — List Workspaces
Workflow 4 — Get Workspace Details
Workflow 5 — Get All Workspaces (Automatic Pagination)
Workflow 6 — Robust Client with Retry and Token Renewal
Workflow 9 — List Workspace Views
Workflow 10 — Get View Information
Workflow 11 — Get View Data with Filters

For endpoint reference, parameters, response structures, and cURL examples, see references/REFERENCE.md.

For error diagnosis (401, 403, 404, timeout, rate limiting), see references/TROUBLESHOOTING.md.

Additional Resources

API Docs: https://docs.piercloud.com/api-docs-pier-cloud
Pier Cloud Platform: https://piercloud.com/en/

Quality Checklist

.env file present with PIERCLOUD_CLIENT_ID, PIERCLOUD_CLIENT_SECRET, and PIERCLOUD_TENANCY_ID
Python dependencies installed (requests, python-dotenv)
Authentication successful (JWT token obtained without errors)
Correct endpoint being used (default /lighthouse/tenancies/{tenancy_id}/...)
Token being renewed before expiration in long sessions
Workspace/view IDs confirmed via listing before using directly
Errors handled per references/TROUBLESHOOTING.md

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Pier Cloud AI skill do?

Why use Pier Cloud on TypingMind?

Because you install it once and use it with any model. Pier Cloud is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Pier Cloud in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/fabricioctelles/skills/tree/main/skills/pier-cloud. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Pier Cloud?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Pier Cloud?

As many as you like. As long as a model supports skills, you can use Pier Cloud with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Pier Cloud AI skill free?

Yes. It is published on GitHub by fabricioctelles under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Pier Cloud API

Prerequisites

Credentials

Python Dependencies

Basic Configuration

Available Scripts

Workflows

Additional Resources

Quality Checklist

Bundled files

Frequently asked questions

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