Agent Skills
An index and topic collection covering Agent Skills, the packaged, file-based capability units that AI coding agents load to extend their behavior. Agent Skills bundle instructions, scripts, schemas, and reference material into directories that agents discover, plan against, and execute at runtime, giving organizations a portable way to govern how AI assistants interact with their products and APIs. This collection tracks vendor-published skill repositories (Claude Code skills, Claude Agent SDK skills, Cursor rules, OpenAI Apps SDK skills, and capability packages) shipped by API providers across developer tools, data platforms, SaaS, and infrastructure.
Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.
API Evangelist profiles Agent Skills the way a machine reads it — 31 machine-readable artifacts, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Agent Skills scores 9.5/100 (minimal), with a separate agent-readiness read of 0/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance. Every facet and dimension name is a link: it opens that measurement's page on APIs.io, where the rating runs across the whole catalog — the exact checks that feed it, how every profiled provider distributes on it, and who is at the top of it.
Kin Score
How this is scored →scored 2026-10-03 · rubric v0.23.0
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<!-- Kin Score · API Evangelist -->
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title="Agent Skills on API Evangelist — API profile and Kin Score">
<img src="https://apis.io/badge/agents-skills.svg"
alt="Agent Skills Kin Score — API readiness rating by API Evangelist" width="150" height="150" loading="lazy">
</a>[](https://providers.apievangelist.com/providers/agents-skills/)<!-- Kin Score · API Evangelist -->
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title="Agent Skills on API Evangelist — API profile and Kin Score">
<img src="https://apis.io/badge/agents-skills/card.svg"
alt="Agent Skills Kin Score — API readiness rating by API Evangelist" width="340" height="120" loading="lazy">
</a>More shapes, themes and sizes → · Score as JSON · How badges work
How we profile Agent Skills
Each block below is one kind of artifact we hold for Agent Skills. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Features 8
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
Notable capabilities this provider offers.
File-Based Capability Packaging
Agent Skills bundle markdown instructions, executable scripts, schemas, and reference material into versioned directories that agents can load deterministically at runtime.
Vendor-Published Skill Repositories
API providers ship official GitHub repositories such as resend-skills, ngrok/agent-skills, postman-skills, and jfrog-skills to deliver first-party automation behavior for their ...
Progressive Disclosure of Context
Skills surface a short SKILL.md frontmatter for discovery, then load deeper instructions, scripts, and assets only when an agent activates them, keeping token usage low.
Agent-Executable Tooling
Skills package shell, Python, or Node scripts alongside instructions so agents can perform multi-step work (auth, file generation, API calls) instead of relying on prose-only pr...
Multi-Runtime Compatibility
Skill formats are emerging across Claude Code, Claude Agent SDK, Cursor, OpenAI Apps SDK, and Gemini, with vendors publishing parallel skill sets for each runtime.
Skill Discovery and Governance
Organizations curate skill catalogs, sign skill manifests, and gate skill activation through allow lists so AI agents only run vetted capability packages.
API-First Skill Generation
Skills are increasingly generated from OpenAPI, AsyncAPI, and APIs.json descriptions so each API operation becomes a callable, governed capability inside an agent.
Open Skill Ecosystem
A growing ecosystem of community-maintained skill registries and indexes complements vendor repos, mirroring how the npm and PyPI ecosystems formed around packages.
Scroll within the panel for all 8 ·
Semantic Vocabularies 1
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Agents Skills Context
JSON-LDJSON Schema 2
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
SkillDefinition
JSON SCHEMASkillManifest
JSON SCHEMAJSON Structure 2
JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.
JSON Structure definitions describing this provider's data shapes.
Agents Skills Skill Definition Structure
JSON STRUCTUREAgents Skills Skill Manifest Structure
JSON STRUCTUREExamples 2
Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.
Example request and response payloads for these APIs.
Use Cases 8
What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.
What developers build with this provider.
First-Party Product Skills
SaaS vendors ship official skill repos so AI agents in Claude Code or Cursor can create resources, run reports, and operate their products without bespoke prompt engineering.
Internal Developer Platform Skills
Platform teams package their CI/CD, deployment, and observability workflows as governed skills so every engineering agent uses the same approved automations.
API Onboarding and Education
API providers use skills to walk agents through authentication, sandbox setup, and "hello world" requests, accelerating time-to-first-call for developer-led agents.
Governed Capability Distribution
Compliance-sensitive organizations distribute skills with allow-lists, signing, and audit trails to ensure only approved AI behaviors run against production systems.
API Specification to Skill Pipelines
Teams convert OpenAPI specs into skill bundles (one operation per tool) so agents get typed, governed access to every endpoint without writing custom wrappers.
Cross-Runtime Skill Portability
Vendors maintain mirror skill sets for Claude, Cursor, and OpenAI Apps SDK, giving customers a consistent experience across whichever coding agent they choose.
Skill-Driven Customer Support
Support and DevRel teams publish skills that diagnose common issues, pull logs, and open tickets, letting customer-side agents resolve problems autonomously.
Sandbox and Test Environment Skills
Skill bundles provision throwaway environments, seed test data, and tear down resources so agents can exercise APIs safely during development and CI.
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Integrations 8
Pre-built integrations with other platforms tell you where this provider already fits in a stack.
Pre-built integrations with other platforms and tools.
Claude Code
Anthropic's official coding agent loads skills from the .claude/skills directory and surfaces them as plan-then-execute capabilities.
Claude Agent SDK
The Claude Agent SDK lets developers embed skill loading and execution into their own agent harnesses with the same SKILL.md contract as Claude Code.
Cursor
Cursor consumes vendor rules and skill-style instruction bundles to extend its in-editor coding agent with provider-specific behavior.
OpenAI Apps SDK
The OpenAI Apps SDK provides a skill-equivalent surface so apps and agents on the OpenAI platform can ship packaged capabilities to ChatGPT and developer tools.
Google Gemini
Gemini's GEMINI.md and skill-style instruction files let vendors target Google's coding agent surface alongside Claude and Cursor.
GitHub
GitHub hosts the canonical distribution channel for skill repositories, including vendor-published agent-skills, claude-skills, and *-skills repos.
Postman
Postman's skill repository ships first-party capabilities for working with Postman collections, workspaces, and the Postman API from coding agents.
Anthropic
Anthropic publishes the SKILL.md format, reference skill repositories, and the Skills feature in Claude Code that anchors the broader ecosystem.
Scroll within the panel for all 8 ·
Resources
Every other property we hold for Agent Skills — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 1
Portal, sign-up, and the first successful call
Build 1
SDKs, sample code, and the tooling you integrate with
← All providers · Data indexed from github.com/api-evangelist/agents-skills · machine-readable index on apis.io
This is an independent, third-party profile of Agent Skills, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.
The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.
Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.
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