Skills nuclear_policy_brief

Name: nuclear_policy_brief
Author: openclaw

Generate a grounded nuclear energy policy brief from live news using Apify + Contextual.

install

source · Clone the upstream repo

git clone https://github.com/openclaw/skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/ab-naidu/global-nuclear-brief" ~/.claude/skills/openclaw-skills-nuclear-policy-brief && rm -rf "$T"

OpenClaw · Install into ~/.openclaw/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/ab-naidu/global-nuclear-brief" ~/.openclaw/skills/openclaw-skills-nuclear-policy-brief && rm -rf "$T"

manifest: skills/ab-naidu/global-nuclear-brief/SKILL.md

Nuclear Policy Brief

Use this skill when the user wants a concise, grounded brief about nuclear energy policy or regulation.

What it does

Pulls recent nuclear policy/regulatory news via Apify.
Uses Contextual to synthesize a structured brief grounded in the retrieved sources.

How to run

Use

exec

to run the script. Always pass user-provided values as arguments, never interpolate raw text into the shell.

Command template:

python3 bin/nuclear_brief.py --query "<search query>" --topic "<topic focus>" --audience "<audience>" --country "<country code>" --timeframe "<timeframe>"

Example:

python3 bin/nuclear_brief.py --query "nuclear energy policy OR nuclear regulation" --topic "Global nuclear energy policy" --audience "policy analysts" --country "US" --timeframe "7d"

Output format

Return the brief exactly as produced by the script. If the script reports missing env vars or no results, ask the user for a different query or timeframe.

Required config

```
APIFY_API_TOKEN
```
```
CONTEXTUAL_API_KEY
```

Notes

Keep the demo under 3 minutes.
Highlight the live data pull (Apify) and grounded generation (Contextual).