openalgo-executor

Skill to interact with the OpenAlgo API for trading operations. Allows placing market/limit orders, retrieving current positions, and fetching symbol quotes. Supports connecting to OpenAlgo via a specified URL (defaulting to http://localhost:5000 or ngrok URL). Use when you need to perform trading actions or query market/position data via the OpenAlgo API. Supported commands: - Order placement: buy/sell market or limit orders. - Position retrieval: get current open positions. - Quote retrieval: get real-time price quotes for symbols. Example Usage: - Place a market buy order for 10 SOL: `openalgo-executor.run_command("order --symbol SOLUSD --action buy --quantity 10")` - Place a limit sell order for 5 BTC at $50000: `openalgo-executor.run_command("order --symbol BTCUSD --action sell --quantity 5 --type limit --price 50000")` - Get current positions: `openalgo-executor.run_command("positions")` - Get quote for ETHUSD: `openalgo-executor.run_command("quote --symbol ETHUSD")` - Use a specific OpenAlgo URL: `openalgo-executor.run_command("order --symbol SOLUSD --action buy --quantity 10 --url http://your-ngrok-url.io")` Requires: openalgo_client.py script in scripts/ directory.

3,891 stars

Best use case

openalgo-executor is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Skill to interact with the OpenAlgo API for trading operations. Allows placing market/limit orders, retrieving current positions, and fetching symbol quotes. Supports connecting to OpenAlgo via a specified URL (defaulting to http://localhost:5000 or ngrok URL). Use when you need to perform trading actions or query market/position data via the OpenAlgo API. Supported commands: - Order placement: buy/sell market or limit orders. - Position retrieval: get current open positions. - Quote retrieval: get real-time price quotes for symbols. Example Usage: - Place a market buy order for 10 SOL: `openalgo-executor.run_command("order --symbol SOLUSD --action buy --quantity 10")` - Place a limit sell order for 5 BTC at $50000: `openalgo-executor.run_command("order --symbol BTCUSD --action sell --quantity 5 --type limit --price 50000")` - Get current positions: `openalgo-executor.run_command("positions")` - Get quote for ETHUSD: `openalgo-executor.run_command("quote --symbol ETHUSD")` - Use a specific OpenAlgo URL: `openalgo-executor.run_command("order --symbol SOLUSD --action buy --quantity 10 --url http://your-ngrok-url.io")` Requires: openalgo_client.py script in scripts/ directory.

Teams using openalgo-executor should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/openalgo-executor/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/anthonyabraham1379-pixel/openalgo-executor/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/openalgo-executor/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How openalgo-executor Compares

Feature / Agentopenalgo-executorStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Skill to interact with the OpenAlgo API for trading operations. Allows placing market/limit orders, retrieving current positions, and fetching symbol quotes. Supports connecting to OpenAlgo via a specified URL (defaulting to http://localhost:5000 or ngrok URL). Use when you need to perform trading actions or query market/position data via the OpenAlgo API. Supported commands: - Order placement: buy/sell market or limit orders. - Position retrieval: get current open positions. - Quote retrieval: get real-time price quotes for symbols. Example Usage: - Place a market buy order for 10 SOL: `openalgo-executor.run_command("order --symbol SOLUSD --action buy --quantity 10")` - Place a limit sell order for 5 BTC at $50000: `openalgo-executor.run_command("order --symbol BTCUSD --action sell --quantity 5 --type limit --price 50000")` - Get current positions: `openalgo-executor.run_command("positions")` - Get quote for ETHUSD: `openalgo-executor.run_command("quote --symbol ETHUSD")` - Use a specific OpenAlgo URL: `openalgo-executor.run_command("order --symbol SOLUSD --action buy --quantity 10 --url http://your-ngrok-url.io")` Requires: openalgo_client.py script in scripts/ directory.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# OpenAlgo Executor Skill

This skill provides an interface to the OpenAlgo trading platform.

## Capabilities

*   Place Market/Limit Orders
*   Retrieve Current Positions
*   Obtain Symbol Quotes

## Configuration

The skill uses a Python client script (`scripts/openalgo_client.py`) to interact with the OpenAlgo API. The default API endpoint is `http://localhost:5000`. If your OpenAlgo service is accessible via a different URL or an ngrok tunnel, you can specify it using the `--url` argument when running commands.

## Usage

To use this skill, you can execute commands via the `run_command` function, passing the desired arguments for the `openalgo_client.py` script.

### Placing Orders

**Market Order:**
To place a market order, specify the symbol, action (buy/sell), and quantity.

*Example:* Place a market buy order for 10 SOL:
```bash
openalgo-executor.run_command("order --symbol SOLUSD --action buy --quantity 10")
```

**Limit Order:**
To place a limit order, specify the symbol, action, quantity, order type (`limit`), and the desired price.

*Example:* Place a limit sell order for 5 BTC at $50000:
```bash
openalgo-executor.run_command("order --symbol BTCUSD --action sell --quantity 5 --type limit --price 50000")
```

### Retrieving Positions

To get a list of your current open positions, use the `positions` command.

*Example:*
```bash
openalgo-executor.run_command("positions")
```

### Retrieving Quotes

To get the current quote for a specific symbol, use the `quote` command with the symbol.

*Example:* Get the quote for ETHUSD:
```bash
openalgo-executor.run_command("quote --symbol ETHUSD")
```

### Custom URL

If your OpenAlgo API is hosted at a different URL (e.g., via ngrok), append the `--url` argument to your command.

*Example:* Using an ngrok URL:
```bash
openalgo-executor.run_command("order --symbol SOLUSD --action buy --quantity 10 --url http://your-ngrok-url.io")
```

Related Skills

ta-paper-executor

3891
from openclaw/skills

Execute and track paper trades from TA setups with JSONL ledger, open/close workflow, and mark-to-market status.

openclaw-tool-executor

3891
from openclaw/skills

Use this skill whenever the user asks for information from, or wants to take an action in, a third-party tool or service. This includes — but is not limited to — searching the web, reading or writing documents, sending messages, querying databases, managing tasks, fetching data from APIs, or interacting with any connected SaaS product (e.g. "search Exa for...", "read my Notion page", "send a Slack message", "get my Google Sheet", "create a GitHub issue", "query Snowflake", "look up a HubSpot contact"). Trigger this skill any time the user's request involves an external service, integration, or data source — even if the provider is not explicitly named. Handles OAuth and non-OAuth (API Key, Bearer, Basic) connections, tool discovery, execution, and proxy fallback via Scalekit Connect. ## Provider Mapping Some services are accessed through a different provider name in Scalekit. Always use the mapped provider name below: | User asks about | Use provider | |---|---| | LinkedIn — profiles, jobs, companies, posts, people search, ads, groups | `HARVESTAPI` |

Binance Event Contract Executor

3891
from openclaw/skills

## 1. Scenario Definition

---

3891
from openclaw/skills

name: article-factory-wechat

Content & Documentation

humanizer

3891
from openclaw/skills

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

Content & Documentation

find-skills

3891
from openclaw/skills

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.

General Utilities

tavily-search

3891
from openclaw/skills

Use Tavily API for real-time web search and content extraction. Use when: user needs real-time web search results, research, or current information from the web. Requires Tavily API key.

Data & Research

baidu-search

3891
from openclaw/skills

Search the web using Baidu AI Search Engine (BDSE). Use for live information, documentation, or research topics.

Data & Research

agent-autonomy-kit

3891
from openclaw/skills

Stop waiting for prompts. Keep working.

Workflow & Productivity

Meeting Prep

3891
from openclaw/skills

Never walk into a meeting unprepared again. Your agent researches all attendees before calendar events—pulling LinkedIn profiles, recent company news, mutual connections, and conversation starters. Generates a briefing doc with talking points, icebreakers, and context so you show up informed and confident. Triggered automatically before meetings or on-demand. Configure research depth, advance timing, and output format. Walking into meetings blind is amateur hour—missed connections, generic small talk, zero leverage. Use when setting up meeting intelligence, researching specific attendees, generating pre-meeting briefs, or automating your prep workflow.

Workflow & Productivity

self-improvement

3891
from openclaw/skills

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.

Agent Intelligence & Learning

botlearn-healthcheck

3891
from openclaw/skills

botlearn-healthcheck — BotLearn autonomous health inspector for OpenClaw instances across 5 domains (hardware, config, security, skills, autonomy); triggers on system check, health report, diagnostics, or scheduled heartbeat inspection.

DevOps & Infrastructure