Aap Eda

Community

automateyournetwork

aap-eda

Event-Driven Ansible (EDA) — activation lifecycle, rulebook management, decision environments, event stream monitoring. Use when managing event-driven automation triggers, enabling/disabling activations, or reviewing EDA rulebooks.

Overview

Publisher	automateyournetwork
Repository	`netclaw`
Skill name	`aap-eda`
Stars	680
Forks	189
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by automateyournetwork on GitHub. Read the source before you install it.

Installation

Install the Aap Eda 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.
https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/aap-eda
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/automateyournetwork/netclaw.git /tmp/netclaw
mkdir -p .claude/skills
cp -r /tmp/netclaw/workspace/skills/aap-eda .claude/skills/aap-eda

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

Use it in TypingMind

Enable Aap Eda 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 Aap Eda 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 Aap Eda 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.

Event-Driven Ansible (EDA) Operations

MCP Server

Repository: sibilleb/AAP-Enterprise-MCP-Server
Transport: stdio (Python via uv run eda.py)
Install: git clone + uv sync (or pip install -e .)
Requires: EDA_URL, EDA_TOKEN

Available Tools (12)

Activation Management (7)

Tool	What It Does
`list_activations`	List all activations in EDA
`get_activation`	Retrieve details for a specific activation by ID
`create_activation`	Create a new activation
`enable_activation`	Enable a disabled activation
`disable_activation`	Disable an active activation
`restart_activation`	Restart an activation
`delete_activation`	Delete an activation

Rulebooks & Environments (3)

Tool	What It Does
`list_rulebooks`	List all rulebooks in EDA
`get_rulebook`	Retrieve details of a specific rulebook
`list_decision_environments`	List all decision environments

Event Streams & Environments (2)

Tool	What It Does
`create_decision_environment`	Add a new decision environment
`list_event_streams`	List all event streams

Key Concepts

Concept	What It Means
EDA	Event-Driven Ansible — reactive automation triggered by events
Activation	A running instance of a rulebook processing events
Rulebook	YAML-defined rules mapping events to Ansible actions
Decision Environment	Container image with collections and dependencies for EDA
Event Stream	Source of events fed into EDA for processing

Workflow: Activation Management

List activations: list_activations — see all current activations and their state
Inspect: get_activation — review activation details (rulebook, decision env, status)
Lifecycle: enable_activation, disable_activation, restart_activation as needed
Report: Activation health summary

Workflow: Event-Driven Automation Audit

List activations: list_activations — enumerate all EDA activations
List rulebooks: list_rulebooks — review available automation rules
Check environments: list_decision_environments — verify container images
Monitor streams: list_event_streams — confirm event sources are active
Report: EDA health, dormant activations, orphaned rulebooks

Integration with Other Skills

Skill	How They Work Together
`aap-automation`	EDA triggers → AAP job template execution
`aap-lint`	Validate rulebook playbook actions before activation
`servicenow-change-workflow`	ServiceNow CR before enabling EDA activations in production
`gait-session-tracking`	Audit trail for EDA lifecycle changes
`slack-network-alerts`	EDA event notifications via Slack

Environment Variables

EDA_URL — EDA API endpoint (e.g., https://aap.example.com/api/eda/v1)
EDA_TOKEN — EDA API token (can match AAP_TOKEN)

Important Rules

Activations process events in real-time — disabling/enabling affects live automation
ServiceNow CR — gate activation changes behind change requests in production
Record in GAIT — log all EDA operations for audit trail

Failure Behavior

If a tool call fails with an authentication or connection error, check that EDA_TOKEN, EDA_URL are set and valid before assuming a data or device problem.
On a tool error (timeout, unreachable host, malformed response), report the failure and its error message directly to the user rather than fabricating or guessing at results.
Do not automatically retry a write/mutating operation after a failure — surface the error and get explicit confirmation before retrying, since a blind retry on a partially-applied change can leave state inconsistent.

Frequently asked questions

What does the Aap Eda AI skill do?

Why use Aap Eda on TypingMind?

Because you install it once and use it with any model. Aap Eda 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 Aap Eda in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/aap-eda. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Aap Eda?

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 Aap Eda?

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

Is the Aap Eda AI skill free?

Yes. It is published on GitHub by automateyournetwork 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

Event-Driven Ansible (EDA) Operations

MCP Server

Available Tools (12)

Activation Management (7)

Rulebooks & Environments (3)

Event Streams & Environments (2)

Key Concepts

Workflow: Activation Management

Workflow: Event-Driven Automation Audit

Integration with Other Skills

Environment Variables

Important Rules

Failure Behavior

Frequently asked questions

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