10-of-my-most-popular-text-to-image-series-prompts-78b0897e
generate a bunch of images, then you curate the results to handpick the best ones
Decide whether OpenClaw should send a spontaneous casual message during periodic checks, and when it should, choose a natural interaction type plus concise guidance for how to deliver it. Use when scheduling or executing human-like proactive chat check-ins.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install fjrevoredo/simple-random-interaction-designerExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
Use this skill to decide whether to send a casual proactive message and, when the answer is yes, what kind of interaction to deliver.
Use {baseDir}/scripts/random_interaction_designer.py as the default execution path.
decision from the JSON output.decision is no.decision is yes, use both interaction_type and interaction_description to draft the outgoing message.{baseDir}/scripts/random_interaction_designer.py
Preferred command:
python3 {baseDir}/scripts/random_interaction_designer.py
When the result is no:
{"decision":"no"}
When the result is yes:
{
"decision": "yes",
"interaction_type": "Playful opener",
"interaction_description": "Send a brief playful line that feels spontaneous and easy to ignore."
}
Contract rules:
decision is always present and is either yes or no.interaction_type is present only when decision is yes.interaction_description is present only when decision is yes.Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
# Simple Random Interaction Designer
Use this skill to decide whether to send a casual proactive message and, when the answer is yes, what kind of interaction to deliver.
Use `{baseDir}/scripts/random_interaction_designer.py` as the default execution path.
## Workflow
1. Run the script once per scheduled check interval.
2. Read `decision` from the JSON output.
3. Stop immediately if `decision` is `no`.
4. If `decision` is `yes`, use both `interaction_type` and `interaction_description` to draft the outgoing message.
5. If the selected interaction is data-aware, use any relevant OpenClaw-accessible tools, skills, or integrations to fetch live context before drafting the message.
6. Keep the final message brief, casual, and easy to ignore without social pressure.
7. Prefer recent chat context when it is clearly present.
8. Do not mention the random process, scheduled checks, or why this interaction was selected.
## Primary Tooling
- Script path: `{baseDir}/scripts/random_interaction_designer.py`
- Runtime: Python 3, standard library only.
Preferred command:
- `python3 {baseDir}/scripts/random_interaction_designer.py`
## Output Contract
When the result is no:
```json
{"decision":"no"}
```
When the result is yes:
```json
{
"decision": "yes",
"interaction_type": "Playful opener",
"interaction_description": "Send a brief playful line that feels spontaneous and easy to ignore."
}
```
Contract rules:
- `decision` is always present and is either `yes` or `no`.
- `interaction_type` is present only when `decision` is `yes`.
- `interaction_description` is present only when `decision` is `yes`.
- Do not expect debug fields, probability values, roll values, or fallback metadata.
## Interaction Design Rules
- Treat the JSON as execution guidance, not user-facing text.
- Keep the final message to one or two short chat lines.
- Prefer soft phrasing over transactional or assistant-like framing.
- Avoid defaulting to "just checking in" language.
- Ask at most one quest...generate a bunch of images, then you curate the results to handpick the best ones
generate a bunch of images, then you curate the results to handpick the best ones
Productivity system based on Maya calendar with 13 natural tones for project management and personal development
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.