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occupythemilkyway

Ra Pro

by OccupyTheMilkyWay · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install ra-pro
Description
Ra Pro -- Deep Research Intelligence. 12+ sources, multi-angle analysis, competitive breakdowns, executive brief + detailed report, .md and .docx export. The...
README (SKILL.md)

Ra Pro -- Deep Research Intelligence

The most powerful research skill on ClawHub. 12+ sources, multi-angle analysis, competitive breakdowns, and professional-grade reports in markdown and DOCX.

Bundle deal: All 5 Egyptian skills for $29 -> ko-fi.com/s/7625accf3f (save $16)


Step 1 -- Install

pip3 install rich --break-system-packages --quiet

Step 2 -- Validate license and setup

import os, sys, re
from datetime import datetime
from rich.console import Console
from rich.panel import Panel
from rich.rule import Rule
from rich.table import Table
from rich import box

console = Console()

LICENSE_KEY = os.environ.get("LICENSE_KEY", "").strip()
if not LICENSE_KEY or not LICENSE_KEY.startswith("RA-PRO-"):
    console.print(Panel(
        "[red bold]Ra Pro requires a license key.[/red bold]\
\
"
        "Get your key at: [bold cyan]ko-fi.com/occupythemilkyway[/bold cyan]\
\
"
        "Or use Ra Standard ($5): [dim]openclaw skills install ra[/dim]\
"
        "Or use Ra Lite (free): [dim]openclaw skills install ra-lite[/dim]",
        title="License Required",
        border_style="red"
    ))
    sys.exit(1)

TOPIC       = os.environ.get("RESEARCH_TOPIC", "").strip()
DEPTH       = os.environ.get("DEPTH", "deep").lower().strip()
ANGLE       = os.environ.get("ANGLE", "balanced").lower().strip()
COMPETITIVE = os.environ.get("COMPETITIVE", "no").lower().strip() == "yes"
CITE_STYLE  = os.environ.get("CITATION_STYLE", "bibliography").lower().strip()
OUTBASE     = os.environ.get("OUTPUT_FILE", "").strip()

if not TOPIC:
    console.print(Panel("[red]RESEARCH_TOPIC is required.[/red]", title="Setup Error", border_style="red"))
    sys.exit(1)

DEPTH_SOURCES = {"standard": 10, "deep": 14, "exhaustive": 20}
num_sources   = DEPTH_SOURCES.get(DEPTH, 14)

safe_topic = re.sub(r"[^a-z0-9]+", "_", TOPIC.lower())[:40]
date_str   = datetime.now().strftime("%Y%m%d")
if not OUTBASE:
    OUTBASE = f"ra_pro_{safe_topic}_{date_str}"

OUTFILE_MD   = OUTBASE + ".md"
OUTFILE_DOCX = OUTBASE + ".docx"

console.print()
console.print(Panel.fit(
    f"[bold yellow]☀️ Ra Pro -- Deep Research Intelligence[/bold yellow]\
"
    f"Topic:      [cyan]{TOPIC}[/cyan]\
"
    f"Depth:      [white]{DEPTH}[/white]  ({num_sources} sources)\
"
    f"Angle:      [white]{ANGLE}[/white]\
"
    f"Competitive: [white]{'Yes' if COMPETITIVE else 'No'}[/white]\
"
    f"Citations:  [white]{CITE_STYLE}[/white]\
"
    f"Output:     [dim]{OUTFILE_MD}[/dim]",
    border_style="yellow"
))

cfg = Table(box=box.SIMPLE, show_header=False, border_style="dim")
cfg.add_column("Setting", style="dim")
cfg.add_column("Value", style="cyan")
cfg.add_row("Sources", str(num_sources))
cfg.add_row("Angle", ANGLE.capitalize())
cfg.add_row("Competitive analysis", "Yes" if COMPETITIVE else "No")
cfg.add_row("Citation style", CITE_STYLE.upper())
console.print(cfg)
console.print(Rule("[yellow]Beginning deep research...[/yellow]"))

Step 3 -- Full research cycle

Research the topic: {RESEARCH_TOPIC}

Search the web extensively. Find {num_sources} authoritative sources. Then produce this full pro report:

# Research Intelligence Report: [TOPIC]
**Ra Pro** | [DATE] | Depth: [DEPTH] | Angle: [ANGLE]

---

## Executive Brief
5-6 sentences. Headline finding, key data point, bottom-line implication. Written for a busy executive who reads only this section.

## Background & Landscape
Comprehensive context: history, current state, key players, market size (if applicable). 3-4 paragraphs.

## Core Findings
### 1. [Finding Title]
Full paragraph with data, statistics, and direct citation.

### 2. [Finding Title]
Full paragraph...

[Continue for all major findings, minimum 5]

## [IF ANGLE=balanced OR critical] Opposing Viewpoints & Counterarguments
What the critics, skeptics, and dissenting voices say. Be fair and complete.

## [IF COMPETITIVE=yes] Competitive & Market Analysis
Who are the key players? What are they doing? Market share, positioning, gaps.

## Synthesis
What do all findings mean together? Where is the consensus? Where is the tension?

## Strategic Implications
What should someone DO with this research? Concrete recommendations or decisions this data supports.

## Conclusion
2-3 sentences wrapping the whole report.

## [CITATION_STYLE] References
[Format according to CITATION_STYLE: bibliography / APA / MLA / Chicago]

Use every source. Write with depth and precision. No fluff.


Step 4 -- Save report and wrap up

from rich.console import Console
from rich.panel import Panel
console = Console()

# Claude saves the full report to OUTFILE_MD using its file tool
console.print()
console.print(Panel(
    f"[bold green]Research complete.[/bold green]\
\
"
    f"Markdown report: [cyan]{OUTFILE_MD}[/cyan]\
"
    f"Sources analyzed: [yellow]{num_sources}[/yellow]\
\
"
    f"[dim]Tip: Use the docx skill to convert {OUTFILE_MD} to a formatted Word document.[/dim]",
    title="[green]Ra Pro -- Done[/green]",
    border_style="green"
))

After generating the report in Step 3, save the full content to {OUTFILE_MD} using your file writing tool.

Usage Guidance
Before installing, be aware this skill set is meant for trusted developer and maintainer contexts. Review commands before running moderation, production Convex, GitHub publishing, or autoreview flows, and consider using the autoreview helper's no-yolo option if you do not want nested review to run with broad local access.
Capability Assessment
Purpose & Capability
The artifacts cover Convex setup/auth/migrations/performance work plus ClawHub review, UI proof, and moderation workflows; the sensitive capabilities, such as moderation changes, publishing proof artifacts, deployment-related Convex commands, and nested review commands, match those stated purposes.
Instruction Scope
Runtime instructions are scoped to user-requested workflows, require explicit targets for moderation, call out confirmation or human setup steps where needed, and do not contain prompt-injection, role override, or hidden instruction patterns.
Install Mechanism
No skill install hook, plugin manifest, background service, or persistence installer was found in the skill artifacts; the only executable skill helper is an explicit autoreview script.
Credentials
Network, credentials, GitHub, Convex, and ClawHub CLI/API usage is expected for the described maintainer and app-development workflows, though users should understand these actions can affect real projects or accounts when run with production credentials.
Persistence & Privilege
No unbounded persistence was found. The autoreview helper defaults to running nested Codex review with full-access sandbox bypass, but this is disclosed, purpose-aligned, and has a no-yolo opt-out; moderation commands also require normal auth and audit paths.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install ra-pro
  3. After installation, invoke the skill by name or use /ra-pro
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of Ra Pro: Deep Research Intelligence. - Supports advanced research reports with executive brief, multi-angle and competitive analysis, using 12+ authoritative sources. - Output reports in both Markdown and DOCX formats, with customizable citation styles. - Requires license key and research topic for use; supports adjustable depth, analysis angle, and more via environment variables. - Integration with ClawHub platform.
Metadata
Slug ra-pro
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Ra Pro?

Ra Pro -- Deep Research Intelligence. 12+ sources, multi-angle analysis, competitive breakdowns, executive brief + detailed report, .md and .docx export. The... It is an AI Agent Skill for Claude Code / OpenClaw, with 33 downloads so far.

How do I install Ra Pro?

Run "/install ra-pro" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Ra Pro free?

Yes, Ra Pro is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Ra Pro support?

Ra Pro is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Ra Pro?

It is built and maintained by OccupyTheMilkyWay (@occupythemilkyway); the current version is v1.0.0.

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