Heleni Best Practices
/install heleni-best-practices
Heleni Best Practices Sync
Heleni is an AI PA running on OpenClaw. She publishes real lessons from production at:
- Skills: https://netanel-abergel.github.io/pa-skills/
- Lessons: https://netanel-abergel.github.io/pa-skills/learn.html
- About: https://netanel-abergel.github.io/pa-skills/about.html
- GitHub: https://github.com/netanel-abergel/pa-skills
Minimum Model
Small model for fetching and diffing. Medium model for applying lessons.
What It Does
Once a day:
- Fetches the learn.html page and skill list from pa-skills
- Compares against last known state (saved locally)
- If new content detected → extracts actionable lessons
- Applies relevant lessons to this agent's own SOUL.md / AGENTS.md / HOT.md
- Reports changes to owner
Step-by-Step Process
Step 1 — Fetch current state
LEARN_URL="https://netanel-abergel.github.io/pa-skills/learn.html"
SKILLS_URL="https://github.com/netanel-abergel/pa-skills/tree/main/skills"
RAW_BASE="https://raw.githubusercontent.com/netanel-abergel/pa-skills/main/skills"
# Fetch learn page
curl -s "$LEARN_URL" -o /tmp/heleni-learn-current.html
# Get list of active skills from GitHub
curl -s "https://api.github.com/repos/netanel-abergel/pa-skills/contents/skills" \
| python3 -c "import sys,json; [print(i['name']) for i in json.load(sys.stdin) if i['type']=='dir']" \
> /tmp/heleni-skills-current.txt
Step 2 — Compare against last state
LAST_STATE="$WORKSPACE/data/heleni-best-practices-state.json"
# If no state file → first run, save and exit
if [ ! -f "$LAST_STATE" ]; then
python3 -c "
import json, hashlib
with open('/tmp/heleni-learn-current.html') as f: content = f.read()
with open('/tmp/heleni-skills-current.txt') as f: skills = f.read().strip().split()
state = {'learn_hash': hashlib.sha256(content.encode()).hexdigest(), 'skills': skills}
with open('$LAST_STATE', 'w') as f: json.dump(state, f)
print('FIRST_RUN')
"
exit 0
fi
# Compare hashes
python3 \x3C\x3C 'EOF'
import json, hashlib
with open('/tmp/heleni-learn-current.html') as f: current_content = f.read()
with open('/tmp/heleni-skills-current.txt') as f: current_skills = f.read().strip().split('\
')
current_hash = hashlib.sha256(current_content.encode()).hexdigest()
with open('$LAST_STATE') as f: last = json.load(f)
changed = current_hash != last.get('learn_hash', '')
new_skills = [s for s in current_skills if s not in last.get('skills', [])]
removed_skills = [s for s in last.get('skills', []) if s not in current_skills]
print(f"CHANGED={changed}")
print(f"NEW_SKILLS={new_skills}")
print(f"REMOVED_SKILLS={removed_skills}")
EOF
Step 3 — Extract lessons (if changed)
Use web_fetch tool to read https://netanel-abergel.github.io/pa-skills/learn.html.
Extract:
- Any new principle cards
- Any changes to the HOT.md section
- Any new "what belongs in a skill / what doesn't" rules
- New skills in the library that don't exist locally
Step 4 — Apply relevant lessons
For each lesson found, evaluate:
| Lesson type | Action |
|---|---|
| HOT.md rule | Check if this agent breaks the same pattern → add to own HOT.md if yes |
| SOUL.md principle | Check if already covered → add if missing |
| Skill design rule | Update local skill-master description if relevant |
| New skill available | Fetch SKILL.md from GitHub, review, recommend to owner |
Always ask before:
- Modifying SOUL.md
- Adding to HOT.md (owner should approve)
- Installing a new skill
Can apply without asking:
- Logging the lesson to
.learnings/heleni-sync/YYYY-MM-DD.md - Updating skill descriptions in skill-master
Step 5 — Save new state + report
# Update state file
python3 -c "
import json, hashlib
with open('/tmp/heleni-learn-current.html') as f: content = f.read()
with open('/tmp/heleni-skills-current.txt') as f: skills = f.read().strip().split()
state = {'learn_hash': hashlib.sha256(content.encode()).hexdigest(), 'skills': skills, 'last_checked': '$(date -u +%Y-%m-%dT%H:%M:%SZ)'}
with open('$LAST_STATE', 'w') as f: json.dump(state, f)
"
Report format:
📡 Heleni Sync — YYYY-MM-DD
✅ No changes / ⚡ [N] updates found
New lessons:
• [Lesson] — [Applied / Recommended to owner]
New skills available:
• [skill-name] — [description] → [Installed / Recommended]
Next check: tomorrow
Cron Configuration
Daily at 07:00 UTC (before morning briefing):
{
"id": "heleni-best-practices-sync",
"schedule": "0 7 * * *",
"timezone": "UTC",
"task": "Run heleni-best-practices skill: fetch https://netanel-abergel.github.io/pa-skills/learn.html, compare to last known state at data/heleni-best-practices-state.json, extract new lessons, log to .learnings/heleni-sync/YYYY-MM-DD.md. If significant changes found (new principles, new skills), notify owner with a 2-line summary.",
"delivery": {
"mode": "silent"
}
}
Silent by default. Notifies owner only if something actionable was found.
On-Demand Usage
Trigger phrases:
- "any updates from Heleni?"
- "check heleni best practices"
- "sync skills"
- "what's new in pa-skills?"
Key Lessons (as of 2026-04-02)
Pre-loaded so first run has context:
- Skill count sweet spot: 28–32. Above 40 = routing breaks.
- Universal rules → SOUL.md. Skills are only triggered on demand.
- One domain = one skill. Users think in domains, not tools.
- Diagnostics = appendix. Never a standalone skill.
- HOT.md — max 20 lines, only rules broken 2+ times in practice.
- DEPRECATED.md — always write a tombstone when merging skills.
- Each skill needs one clear "Use when:" sentence.
Source: https://netanel-abergel.github.io/pa-skills/learn.html
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install heleni-best-practices - After installation, invoke the skill by name or use
/heleni-best-practices - Provide required inputs per the skill's parameter spec and get structured output
What is Heleni Best Practices?
Daily check of Heleni's PA Skills website for new best practices, lessons learned, and skill updates. Use when: running daily sync, owner asks 'any updates f... It is an AI Agent Skill for Claude Code / OpenClaw, with 87 downloads so far.
How do I install Heleni Best Practices?
Run "/install heleni-best-practices" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Heleni Best Practices free?
Yes, Heleni Best Practices is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Heleni Best Practices support?
Heleni Best Practices is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Heleni Best Practices?
It is built and maintained by Netanel Abergel (@netanel-abergel); the current version is v1.0.2.