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Ai Agent Tool Routing

CommunityPopular
sickn33
ai-agent-tool-routing

Autonomous AI agent tool router register: schema registration, runtime parameter coercion, idempotency keys, and error recovery policies.

Overview

Publishersickn33
Repositoryagentic-awesome-skills
Skill nameai-agent-tool-routing
Stars
47.5K
Forks
6.9K
Bundled files
Instructions only
LicenseMIT
Links
  • 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 sickn33 on GitHub. Read the source before you install it.

Installation

Install the Ai Agent Tool Routing AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/sickn33/agentic-awesome-skills/tree/main/plugins/agentic-awesome-skills-claude/skills/ai-agent-tool-routing
  4. 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.
2

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/sickn33/agentic-awesome-skills.git /tmp/agentic-awesome-skills
mkdir -p .claude/skills
cp -r /tmp/agentic-awesome-skills/plugins/agentic-awesome-skills-claude/skills/ai-agent-tool-routing .claude/skills/ai-agent-tool-routing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ai Agent Tool Routing 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 Ai Agent Tool Routing 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 Ai Agent Tool Routing 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.

Autonomous AI Agent Tool Routing

What it is: Coordinates discovery, runtime execution bounds, and fault-tolerant retry policies for external tools consumed by autonomous AI coding agents.

Overview

Provides a standardized, auditable framework and data model for Autonomous AI Agent Tool Routing operations across distributed engineering and decentralized application systems.

When to Use This Skill

  • When formalizing architectural contracts, security invariants, or operational limits for Autonomous AI Agent Tool Routing.
  • When cross-functional review is required between protocol developers, smart contract auditors, and AI engineering agents.
  • When generating reproducible CSV, SQL DDL, JSON Schema, and Notion property registers for tracking compliance.

How It Works

  1. Define the parameters, thresholds, and identity bindings required for the target operational register.
  2. Select appropriate boundary enforcement values from validated enum select sets.
  3. Export standardized artifacts (CSV table, SQL DDL, JSON Schema) to integrate into validation CI pipelines.

Field Reference

#Field NameTypeSQL TypeJSON Schema TypeNotion Property TypeExample Value
1Tool Definition IDidSERIAL PRIMARY KEYintegerTextTOOL-001
2Tool Canonical NametextVARCHAR(64)stringTextstellar_ledger_query
3Target Protocol / ServertextVARCHAR(64)stringTextStellar Horizon RPC
4Invocation ModeselectVARCHAR(32)stringSelectSynchronous
5Idempotency EnforcedselectVARCHAR(16)stringSelectYes
6Parameter Coercion StrategyselectVARCHAR(64)stringSelectStrict Pydantic V2
7Rate Limit Requests Per MinnumberINTEGERnumberNumber120
8Retry Backoff PolicyselectVARCHAR(32)stringSelectExponential with Jitter
9Timeout Threshold MsnumberINTEGERnumberNumber5000
10Router Registration StatusselectVARCHAR(32)stringSelectActive Verified
11Last Validation DatedateDATEstring, format: dateDate2026-10-01

Select Options

Invocation Mode

Synchronous | Asynchronous Background | Scheduled Cron

Idempotency Enforced

Yes | No

Parameter Coercion Strategy

Strict Pydantic V2 | JSON Schema Draft 7 | Permissive Fallback

Retry Backoff Policy

Exponential with Jitter | Linear Step | Immediate Reversion

Router Registration Status

Draft | Active Verified | Deprecated | Blocked

Relations

  • Audit Reference -> links to the formal review documentation or test repository.
  • Target Architecture -> links to the deployed contract or autonomous agent runtime component.

Examples

Prompt

How do I configure and track Autonomous AI Agent Tool Routing for our production environment?

Recommended Next Step

Generate the unified field schema, SQL DDL migration, and JSON validation schema to register into your system catalog.

Workflow: Define criteria -> Run automated verification -> Record baseline -> Monitor invariants.

Best Practices

  • Enforce strict typing on numerical bounds and currency amounts; avoid unstructured free-text fields for critical states.
  • Re-run validation test suites on every state-altering commit or parameter change.
  • Keep example data synthetic and isolated from production cryptographic keys or private endpoints.

Limitations

  • Provides architectural specifications, data models, and verification schemas; does not execute direct transaction signing without authorized external tooling.
  • Requires network connectivity and valid RPC credentials when querying on-chain states.

Security & Safety Notes

  • All parameters declare risk: safe. No unauthorized state modification or privileged credential access is performed.
  • Use synthetic dummy keys and mock addresses in test suites and local verification scripts.

Common Pitfalls

  • Problem: Mismatched decimal precision between contract runtime and database register. Solution: Always verify decimals using the explicit field mapping in this reference.
  • Problem: Missing authorization checks prior to state update. Solution: Cross-validate against the Security Audit register before deployment.

Related Skills

  • @ai-prompt-regression-testing - covers prompt regression baselines and drift.
  • @web3-rate-limiting-circuit-breaker - provides operational guardrails and threshold breakers.
  • @cross-chain-relayer-audit - covers message hashes, nonces and quorum proofs.

Reusable Prompt

I want to establish a verified Autonomous AI Agent Tool Routing register for our production protocol.
Guide me through the required field parameters and output the corresponding SQL DDL and JSON Schema.

Frequently asked questions

What does the Ai Agent Tool Routing AI skill do?

Autonomous AI agent tool router register: schema registration, runtime parameter coercion, idempotency keys, and error recovery policies.

Why use Ai Agent Tool Routing on TypingMind?

Because you install it once and use it with any model. Ai Agent Tool Routing 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 Ai Agent Tool Routing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/sickn33/agentic-awesome-skills/tree/main/plugins/agentic-awesome-skills-claude/skills/ai-agent-tool-routing. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ai Agent Tool Routing?

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 Ai Agent Tool Routing?

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

Is the Ai Agent Tool Routing AI skill free?

Yes. It is published on GitHub by sickn33 under the MIT 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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