dynamic-temperature

Dynamic LLM temperature selection based on task type. Use when deciding what temperature to apply for a given task — scheduling, communication, creative writing, or irreversible actions. Ensures precision where needed and warmth where appropriate.

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Install skill "dynamic-temperature" with this command: npx skills add netanel-abergel/dynamic-temperature

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

Task TypeTemperatureExamples
Irreversible actions0.0Delete calendar event, send official email, destructive CLI ops
Scheduling / Commands0.2Meeting coordination, dates, facts, CLI commands
Analysis / Summaries0.3Status reports, structured thinking, meeting notes
General communication0.5Daily WhatsApp replies, updates, follow-ups
Briefings / Drafts0.6Morning briefing, drafting emails with warmth
Creative writing0.8Jokes, stories, icebreakers, tone-heavy content

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

SkillRecommended TempReason
owner-briefing0.6Warm, readable, but structured
meeting-scheduler0.2Precision required
ai-meeting-notes0.3Factual summaries
supervisor0.2Status facts only
billing-monitor0.1Alerts must be accurate
git-backup0.0No creativity needed
self-learning0.4Reflective but grounded
pa-eval0.3Analytical

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.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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