Sling API Specs for Openclaw

A YAML-based framework for defining and automating complex data extraction workflows from REST APIs.

flarco
v1.0.0
Feb 27, 2026
1
1.1k
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Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install sling-api-specs

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install sling-api-specs using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Sling API Specs?

Sling API Specs offer a standardized YAML definition framework specifically engineered for extracting data from REST APIs. This skill empowers developers to bypass manual scripting by providing a declarative way to handle authentication, nested response processing, and complex pagination. By leveraging Openclaw Skills, users can build reliable data pipelines that integrate seamlessly with various data sources, ensuring consistent and scalable extraction patterns.

The core value lies in its ability to abstract away the boilerplate code usually required for API integrations. Whether you are dealing with OAuth2 flows, HMAC signing, or cursor-based pagination, these specifications provide a unified structure to manage the entire lifecycle of a data request from initial authentication to final record processing.

Sling API Specs Use Cases

  • Automating the extraction of large datasets from REST API GET endpoints.
  • Building incremental sync workflows that only fetch new or updated data based on state.
  • Orchestrating complex data retrieval by chaining multiple API calls using queues.
  • Standardizing API integrations across different teams and projects using a common YAML schema.
  • Handling sophisticated pagination logic like GitHub-style link headers or offset-limit patterns.

How Sling API Specs Works

  1. Create a YAML specification file defining the API name, base URL, and global request defaults.
  2. Configure the authentication block using one of the eight supported types, such as static tokens or OAuth2.
  3. Define specific endpoints, specifying the relative URL paths and any necessary request headers.
  4. Map the API response to records using JMESPath expressions to identify the data array and primary keys.
  5. Use the parse and test operations to validate the specification and ensure data is being extracted correctly.

Sling API Specs Setup

To start building with these Openclaw Skills, you need a YAML specification file. You can initialize a basic configuration and test it using the following steps:

# Create a basic API specification file
touch my_api_spec.yaml

# Example of testing an endpoint via the CLI interface
sling test --connection MY_API_CONN --endpoints users --limit 10

Ensure your secrets are mapped correctly in your connection configuration to be accessed via the {secrets.*} variable scope.

Sling API Specs Data Schema & Taxonomy

The skill organizes data using a hierarchical variable scope system to ensure state is maintained across requests.

Scope Description Use Case
secrets.* Connection credentials Storing API keys and tokens
state.* Endpoint-specific variables Dynamic URL parameters
sync.* Persisted run state Tracking the last sync timestamp
response.* Raw HTTP data Accessing headers or status codes
record.* Individual data points Transforming fields during processing

Sling API Specs Advanced Features

  • Advanced authentication sequences allowing for multi-step custom login flows.
  • Built-in rate limiting and response rules to handle retries and error conditions gracefully.
  • Dynamic endpoint generation for creating API paths at runtime based on external variables.
  • Support for complex pagination patterns including cursor-based and link-header systems.
  • Incremental sync capabilities that persist state between different execution runs.

SKILL.md


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