devtu-create-tool

mims-harvard/tooluniverse · updated Apr 8, 2026

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$npx skills add https://github.com/mims-harvard/tooluniverse --skill devtu-create-tool
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summary

Create new scientific tools following established patterns.

skill.md

ToolUniverse Tool Creator

Create new scientific tools following established patterns.

Top 7 Mistakes (90% of Failures)

  1. Missing default_config.py Entry — tools silently won't load
  2. Non-nullable Mutually Exclusive Parameters — validation errors (#1 issue in 2026)
  3. Fake test_examples — tests fail, agents get bad examples
  4. Single-level Testing — misses registration bugs
  5. Skipping test_new_tools.py — misses schema/API issues
  6. Tool Names > 55 chars — breaks MCP compatibility
  7. Raising Exceptions — should return error dicts instead

Two-Stage Architecture

Stage 1: Tool Class              Stage 2: Wrappers (Auto-Generated)
@register_tool("MyTool")         MyAPI_list_items()
class MyTool(BaseTool):          MyAPI_search()
    def run(arguments):          MyAPI_get_details()

One class handles multiple operations. JSON defines individual wrappers. Need BOTH.

Three-Step Registration

Step 1: Class registration via @register_tool("MyAPITool")

Step 2 (MOST COMMONLY MISSED): Config registration in default_config.py:

TOOLS_CONFIGS = {
    "my_category": os.path.join(current_dir, "data", "my_category_tools.json"),
}

Step 3: Automatic wrapper generation on tu.load_tools()


Implementation Guide

Files to Create

  • src/tooluniverse/my_api_tool.py — implementation
  • src/tooluniverse/data/my_api_tools.json — tool definitions
  • tests/tools/test_my_api_tool.py — tests

Python Tool Class (Multi-Operation Pattern)

from typing import Dict, Any
from tooluniverse.tool import BaseTool
from tooluniverse.tool_utils import register_tool
import requests

@register_tool("MyAPITool")
class MyAPITool(BaseTool):
    BASE_URL = "https://api.example.com/v1"

    def __init__(self, tool_config):
        super().__init__(tool_config)
        self.parameter = tool_config.get("parameter", {})
        self.required = self.parameter.get("required", [])

    def run(self, arguments: Dict[str, Any]) -> Dict[str, Any]:
        operation = arguments.get("operation")
        if not operation:
            return {"status": "error", "error": "Missing: operation"}
        if operation == "search":
            return self._search(arguments)
        return {"status": "error", "error": f"Unknown: {operation}"}

    def _search(self, arguments: Dict[str, Any]) -> Dict[str, Any]:
        query = arguments.get("query")
        if not query:
            return {"status": "error", "error": "Missing: query"}
        try:
            response = requests.get(
                f"{self.BASE_URL}/search",
                params={"q": query}, timeout=30
            )
            response.raise_for_status()
            data = response.json()
            return {"status": "success", "data": data.get("results", [])}
        except requests.exceptions.Timeout:
            return {"status": "error", "error": "Timeout after 30s"}
        except requests.exceptions.HTTPError as e:
            return {"status": "error", "error": f"HTTP {e.response.status_code}"}
        except Exception as e:
            return {"status": "error", "error": str(e)}

JSON Configuration

[
  {
    "name": "MyAPI_search",
    "class": "MyAPITool",
    "description": "Search items. Returns array of results. Supports Boolean operators. Example: 'protein AND membrane'.",
    "parameter": {
      "type": "object",
      "required": ["operation", "query"],
      "properties": {
        "operation": {"const": "search", "description": "Operation (fixed)"},
        "query": {"type": "string", "description": "Search term"},
        "limit": {"type": ["integer", "null"], "description": "Max results (1-100)"}
      }
    },
    "return_schema": {
      "oneOf": [
        {"type": "object", "properties": {"data": {"type": "array"}}},
        {"type": "object", "properties": {"error": {"type": "string"}}, "required": ["error"]}
      ]
    },
    "test_examples": [{"operation": "search", "query": "protein", "limit": 10}]
  }
]

Critical Requirements

  • return_schema MUST have oneOf: success + error schemas
  • test_examples MUST use real IDs: NO "TEST", "DUMMY", "PLACEHOLDER"
  • Tool name <= 55 chars: {API}_{action}_{target} template
  • Description 150-250 chars: what, format, example, notes
  • NEVER raise in run(): return {"status": "error", "error": "..."}
  • Set timeout on all HTTP requests (30s)
  • Standard response: {"status": "success|error", "data": {...}}

Parameter Design

Mutually Exclusive Parameters (CRITICAL — #1 issue)

When tool accepts EITHER id OR name, BOTH must be nullable:

{
  "id": {"type": ["integer", "null"], "description": "Numeric ID"},
  "name": {"type": ["string", "null"], "description": 
how to use devtu-create-tool

How to use devtu-create-tool on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add devtu-create-tool
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/mims-harvard/tooluniverse --skill devtu-create-tool

The skills CLI fetches devtu-create-tool from GitHub repository mims-harvard/tooluniverse and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/devtu-create-tool

Reload or restart Cursor to activate devtu-create-tool. Access the skill through slash commands (e.g., /devtu-create-tool) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.632 reviews
  • Neel Menon· Dec 24, 2024

    Solid pick for teams standardizing on skills: devtu-create-tool is focused, and the summary matches what you get after install.

  • Neel Rao· Dec 20, 2024

    devtu-create-tool reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Ishan Khanna· Dec 4, 2024

    devtu-create-tool is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Neel Thomas· Nov 15, 2024

    Registry listing for devtu-create-tool matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Isabella Wang· Nov 15, 2024

    We added devtu-create-tool from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Naina Abebe· Oct 6, 2024

    Useful defaults in devtu-create-tool — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Isabella Thompson· Oct 6, 2024

    Keeps context tight: devtu-create-tool is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Piyush G· Sep 25, 2024

    Useful defaults in devtu-create-tool — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Jin Rao· Sep 21, 2024

    Solid pick for teams standardizing on skills: devtu-create-tool is focused, and the summary matches what you get after install.

  • Jin Patel· Sep 13, 2024

    We added devtu-create-tool from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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