nano-banana-pro-prompts-recommend-skill
AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
Persistent task queue system. Users add tasks at any time via natural language; tasks are stored in a single persistent queue file and executed asynchronously via subagents. A heartbeat/cron dispatcher wakes periodically to check pending tasks, spawn workers, and report completions. The system never "finishes" — it always remains ready for the next task.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install chunhualiao/autonomous-task-runnerExaminez 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.
A persistent, daemon-style task queue. Users add tasks at any time. A dispatcher runs on every heartbeat to check the queue and execute pending work via subagents. Tasks accumulate, complete, and are archived — the queue itself never closes.
This skill has two distinct modes with different triggers and behaviors:
| Mode | Trigger | Purpose |
|---|---|---|
| INTAKE | User message containing task intent | Parse message → add tasks to queue → confirm → immediately run DISPATCHER |
| DISPATCHER | After INTAKE (primary) · Heartbeat/cron (backup) | Read queue → dispatch pending tasks → report completions |
Both modes read and write the same persistent queue file.
Activate INTAKE mode when the user's message matches any of the following patterns:
| Pattern | Examples |
|---|---|
| Explicit task add | "add task", "add these tasks", "task:", "new task" |
| Delegation | "do this for me", "do these for me", "handle these", "can you do X" |
| Framing | "I need you to", "help me with", "I need", "I want you to" |
| List framing | "task list", "my tasks", "queue these", "work on these" |
| Control commands | "skip T-03", "retry T-02", "mark T-01 done", "cancel T-04" |
| Status check | "show tasks", "task status", "what's in the queue", "what are my pending tasks" |
| Compound ask | Any message with 2+ distinct action items (bullets, numbers, "and also", "then") |
Do NOT activate INTAKE for:
Activate DISPATCHER mode when triggered by:
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
Version: 2.0.0 | Tier: general | Owner: main agent
A persistent, daemon-style task queue for OpenClaw agents. Tell the agent what you need done — once, or across multiple days — and it will queue your tasks, execute them in the background via subagents, and notify you as each one completes. The queue never closes. You can keep adding tasks forever.
Old design: User sends tasks → agent runs them → done. ❌
New design: User sends tasks → tasks go into a queue → dispatcher wakes up periodically → tasks execute in background → user gets notified. ✅
The agent is always ready for your next task, even if the last one hasn't finished yet.
Triggered when you send a message with tasks. The agent:
Triggered every heartbeat (~every 15–20 min) and by a cron job (every 15 min). The agent:
You send:
I need you to:
1. Research the top 5 open-source LLM frameworks and summarize pros/cons
2. Create a markdown comparison table at ~/reports/llm-frameworks.md
Agent responds:
📋 Added 2 tasks to queue:
• T-01: Research top 5 open-source LLM frameworks
• T-02: Create LLM framework comparison table at ~/reports/llm-frameworks.md
Queue now has 2 pending tasks. Dispatcher will pick these up shortly.
Later that day (after dispatcher runs):
✅ T-01 done — Researched 5 LLM frameworks: Ollama, LM Studio, llama.c...
# Task Runner Skill
A persistent, daemon-style task queue. Users add tasks at any time. A dispatcher runs on every
heartbeat to check the queue and execute pending work via subagents. Tasks accumulate, complete,
and are archived — the queue itself never closes.
---
## Two Operating Modes
This skill has **two distinct modes** with different triggers and behaviors:
| Mode | Trigger | Purpose |
|------|---------|---------|
| **INTAKE** | User message containing task intent | Parse message → add tasks to queue → confirm → **immediately run DISPATCHER** |
| **DISPATCHER** | After INTAKE (primary) · Heartbeat/cron (backup) | Read queue → dispatch pending tasks → report completions |
Both modes read and write the **same persistent queue file**.
---
## A1 — Triggers
### Mode 1: INTAKE (user message)
Activate INTAKE mode when the user's message matches any of the following patterns:
| Pattern | Examples |
|---------|---------|
| Explicit task add | "add task", "add these tasks", "task:", "new task" |
| Delegation | "do this for me", "do these for me", "handle these", "can you do X" |
| Framing | "I need you to", "help me with", "I need", "I want you to" |
| List framing | "task list", "my tasks", "queue these", "work on these" |
| Control commands | "skip T-03", "retry T-02", "mark T-01 done", "cancel T-04" |
| Status check | "show tasks", "task status", "what's in the queue", "what are my pending tasks" |
| Compound ask | Any message with 2+ distinct action items (bullets, numbers, "and also", "then") |
**Do NOT activate INTAKE for:**
- Pure single-question lookups answered in one sentence ("what time is it?")
- Scheduling-only requests with no actual task ("remind me in 20 min")
- Single web search requests ("google X")
- The heartbeat systemEvent (that's DISPATCHER mode)
### Mode 2: DISPATCHER (inline after INTAKE, heartbeat, or cron)
Activate DISPATCHER mode when triggered by:
- **Immediately after INTAKE** — runs in the same turn, right after tasks are que...# task-runner **Version:** 2.0.0 | **Tier:** general | **Owner:** main agent A persistent, daemon-style task queue for OpenClaw agents. Tell the agent what you need done — once, or across multiple days — and it will queue your tasks, execute them in the background via subagents, and notify you as each one completes. The queue never closes. You can keep adding tasks forever. --- ## The Core Idea **Old design:** User sends tasks → agent runs them → done. ❌ **New design:** User sends tasks → tasks go into a queue → dispatcher wakes up periodically → tasks execute in background → user gets notified. ✅ The agent is always ready for your next task, even if the last one hasn't finished yet. --- ## Two Operating Modes ### Mode 1: INTAKE Triggered when you send a message with tasks. The agent: 1. Parses your message into structured task objects 2. Assigns IDs (T-01, T-02, ...) 3. Appends them to the persistent queue file 4. Confirms: "Added T-07: [description]. Queue now has 3 pending tasks." 5. Done. The dispatcher will execute them. ### Mode 2: DISPATCHER Triggered every heartbeat (~every 15–20 min) and by a cron job (every 15 min). The agent: 1. Reads the queue 2. If nothing pending/running → silent (HEARTBEAT_OK) 3. If pending tasks → spawns subagents to execute them (up to 2 at a time) 4. Checks running tasks for completion → notifies you when done or blocked --- ## Example: Tasks Added Over Multiple Days ### Monday morning You send: ``` I need you to: 1. Research the top 5 open-source LLM frameworks and summarize pros/cons 2. Create a markdown comparison table at ~/reports/llm-frameworks.md ``` Agent responds: ``` 📋 Added 2 tasks to queue: • T-01: Research top 5 open-source LLM frameworks • T-02: Create LLM framework comparison table at ~/reports/llm-frameworks.md Queue now has 2 pending tasks. Dispatcher will pick these up shortly. ``` Later that day (after dispatcher runs): ``` ✅ T-01 done — Researched 5 LLM frameworks: Ollama, LM Studio, llama.c...
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