TTC Box agent skills following the Agent Skills specification

market-data
market-data
v1.0
Access real-time and historical market data from TTC Box. Get tickers, funding rates, open interest, and volume across 15+ exchanges.
onboarding
onboarding
v1.0
Onboard new agents and users to TTC Box trading platform. Handles registration, API key setup, wallet connection, and initial configuration.
trading
trading
v1.0
Execute trading operations on TTC Box across 15+ exchanges. Place orders, manage positions, set leverage, and control risk.
x402-agent-payments
payments
v1.0
Instructions for AI agents with Solana wallets to pay for TTC Box API access using the x402 protocol. No facilitator needed — agents submit USDC payments directly on-chain.
Documentation Index

Fetch the complete documentation index at: https://agentskills.io/llms.txt

Use this file to discover all available pages before exploring further.

Integrate Skills into Your Agent
How to add Agent Skills support to your agent or tool.

Integration Approaches

Filesystem-based Agents

Operate within a computer environment (bash/unix). Skills activated via shell commands like cat /path/to/skill/SKILL.md.

Tool-based Agents

Function without a dedicated computer environment. Implement tools allowing models to trigger skills and access assets.

Integration Steps

  1. Discover skills in configured directories
  2. Load metadata (name and description) at startup
  3. Match user tasks to relevant skills
  4. Activate skills by loading full instructions
  5. Execute scripts and access resources as needed

Injecting into Context

Include skill metadata in the system prompt. Recommended format uses XML:

<available_skills>
  <skill>
    <name>onboarding</name>
    <description>Onboard new agents and users to TTC Box...</description>
    <location>/skills/onboarding/SKILL.md</location>
  </skill>
  <skill>
    <name>market-data</name>
    <description>Access real-time and historical market data...</description>
    <location>/skills/market-data/SKILL.md</location>
  </skill>
</available_skills>

Security Considerations

  • Sandboxing: Run scripts in isolated environments
  • Allowlisting: Only execute scripts from trusted skills
  • Confirmation: Ask users before running dangerous operations
  • Logging: Record all script executions for auditing

Reference: skills-ref library provides Python utilities and CLI for working with skills.