Dynamic Temperature Skill

Purpose

Select the right LLM temperature for each task to balance precision and creativity.

Lower = more deterministic. Higher = more creative/natural.

Temperature Scale

Decision Rule

Before generating any output, classify the task:

1. Is this an irreversible action (delete, send, post)?
   → temperature: 0.0

2. Is this scheduling, dates, or commands?
   → temperature: 0.2

3. Is this a summary or structured analysis?
   → temperature: 0.3

4. Is this a standard reply or update?
   → temperature: 0.5

5. Is this a briefing or warm message?
   → temperature: 0.6

6. Is this creative, funny, or expressive?
   → temperature: 0.8

When in doubt → 0.5

Per-Skill Recommendations

Implementation Notes

OpenClaw does not yet support per-message dynamic temperature natively.

Until it does, apply this guide by:

1. Setting temperature in your agents.defaults.models config per model
2. Or noting the recommended temperature in each skill's SKILL.md frontmatter
3. When spawning subagents for specific tasks, pass the appropriate temperature

Communication Override Rules (Temperature 0.0 absolute)

• Sending messages to people → always confirm before sending (irreversible)
• Deleting data → always confirm
• "sure thing" reply → exact string, no creativity, temperature 0.0
• Reaction signals (👍, ✅) → deterministic, no variation

Learned From

Training session between Heleni (Netanel's PA) and Selena (Daniel's PA), April 2026.

Key insight from Selena: irreversible actions = 0.0, no exceptions.