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.
Access a user's Corpus library from OpenClaw. Use when the user asks to search saved content, fetch item details, save links into Corpus, or create reminders from Corpus content.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install doninocode/corpusExaminez 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 read and write a user's Corpus data through the Corpus API.
CORPUS_API_TOKEN: user token for Corpus API access.CORPUS_API_TOKENhttps://apps.apple.com/us/app/corpus-ai/id6748364607
Integrations -> OpenClaw.CORPUS_API_TOKEN in your OpenClaw skill env.CORPUS_API_BASE_URL: API base URL (default: https://corpusai.app).CORPUS_TIMEOUT_SECONDS: HTTP timeout in seconds (default: 30).{
"skills": {
"entries": {
"corpus": {
"path": "/absolute/path/to/skills/corpus",
"env": {
"CORPUS_API_TOKEN": "csk_live_or_jwt_token_here",
"CORPUS_API_BASE_URL": "https://corpusai.app"
}
}
}
}
}
Run all commands through:
python3 {baseDir}/scripts/corpus_api.py <command> [options]
Available commands:
profile
list-content --limit 20 --cursor <cursor>
search --query "<text>" --limit 8
content --user-content-id <id>
save-url --url <url> [--user-note "<note>"]
create-reminder --title "<title>" --description "<desc>" --scheduled-date-utc "2026-02-18T16:00:00Z" [--user-content-id <id>]
When a user asks for "find items in Corpus and implement":
search with a focused query.content for top hits to collect concrete steps.CORPUS_API_TOKEN.save-url, create-reminder), confirm user intent if the instruction is ambiguous.Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
# Corpus Skill
Use this skill to read and write a user's Corpus data through the Corpus API.
## Required environment variables
- `CORPUS_API_TOKEN`: user token for Corpus API access.
## Generate `CORPUS_API_TOKEN`
1. Install Corpus AI for iPhone: `https://apps.apple.com/us/app/corpus-ai/id6748364607`
2. Open the app and sign in.
3. Go to `Integrations` -> `OpenClaw`.
4. Create an API token and copy it (the full value is shown once).
5. Set that value as `CORPUS_API_TOKEN` in your OpenClaw skill env.
## Optional environment variables
- `CORPUS_API_BASE_URL`: API base URL (default: `https://corpusai.app`).
- `CORPUS_TIMEOUT_SECONDS`: HTTP timeout in seconds (default: `30`).
## OpenClaw config example
```json
{
"skills": {
"entries": {
"corpus": {
"path": "/absolute/path/to/skills/corpus",
"env": {
"CORPUS_API_TOKEN": "csk_live_or_jwt_token_here",
"CORPUS_API_BASE_URL": "https://corpusai.app"
}
}
}
}
}
```
## Commands
Run all commands through:
`python3 {baseDir}/scripts/corpus_api.py <command> [options]`
Available commands:
- `profile`
- `list-content --limit 20 --cursor <cursor>`
- `search --query "<text>" --limit 8`
- `content --user-content-id <id>`
- `save-url --url <url> [--user-note "<note>"]`
- `create-reminder --title "<title>" --description "<desc>" --scheduled-date-utc "2026-02-18T16:00:00Z" [--user-content-id <id>]`
## Recommended workflow for implementation tasks
When a user asks for "find items in Corpus and implement":
1. Use `search` with a focused query.
2. Use `content` for top hits to collect concrete steps.
3. Produce an implementation plan with explicit file changes.
4. Apply code changes in the current working repository after user confirmation.
## Safety rules
- Never print or log `CORPUS_API_TOKEN`.
- Prefer read operations before write operations.
- Before write operations (`save-url`, `create-reminder`), confirm user intent if the instruction is ambiguous.AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
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