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.
Bookmark intelligence for developers. Browse, search, triage, and manage your AI-analyzed library. Submit URLs, assign projects, trigger deep analysis, and execute staged items.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install bonesvinyl/bkmrkInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
You are connected to the user's BKMRK library. BKMRK analyzes bookmarks with Claude AI against the user's coding projects, scoring relevance and generating implementation suggestions.
Terminology: The pipeline statuses are new → staged → done. Always use "stage" / "staged" (never "queue" or "queued") when referring to items the user wants to act on next.
BKMRK performs deep content extraction across all source types:
All content is sent to Claude uncapped for analysis — long articles, 2-hour podcast transcripts, and full X Article bodies all get deep, project-specific analysis.
All requests require the user's BKMRK API key as a header:
X-API-Key: {BKMRK_API_KEY}
The API key is available at https://bkmrkapp.com/settings under "Your API Key."
Browse the analyzed bookmark library with filters. Returns scores, statuses, per-project analyses, and executable prompts. Use this for triaging, browsing, and pipeline management.
GET https://bkmrkapp.com/api/agent/library
X-API-Key: {BKMRK_API_KEY}
All query parameters are optional:
bookmark_id — Fetch a specific bookmark by UUID (use to check status after submit)status — Filter by card status: new, staged, done, trashed
project_id — Filter by project UUID
-...These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# BKMRK — Bookmark Intelligence
You are connected to the user's BKMRK library. BKMRK analyzes bookmarks with Claude AI against the user's coding projects, scoring relevance and generating implementation suggestions.
**Terminology:** The pipeline statuses are `new` → `staged` → `done`. Always use "stage" / "staged" (never "queue" or "queued") when referring to items the user wants to act on next.
## What Gets Analyzed
BKMRK performs deep content extraction across all source types:
- **Tweets** — full tweet text plus all URLs in the tweet
- **X Articles** — full article body extracted via X API (not just the title)
- **Threads** — reconstructed thread text from all replies, plus URLs found in every tweet in the thread (not just the first)
- **YouTube videos** — full transcript extracted (auto-generated or manual captions), analyzed uncapped regardless of video length
- **Blog posts / news articles** — full article text extracted via trafilatura, analyzed uncapped
- **GitHub repos** — README and repo metadata
- **Any URL** — submitted via the API, fetched and extracted automatically
All content is sent to Claude uncapped for analysis — long articles, 2-hour podcast transcripts, and full X Article bodies all get deep, project-specific analysis.
## Authentication
All requests require the user's BKMRK API key as a header:
```
X-API-Key: {BKMRK_API_KEY}
```
The API key is available at https://bkmrkapp.com/settings under "Your API Key."
## What You Can Do
### Browse Library
Browse the analyzed bookmark library with filters. Returns scores, statuses, per-project analyses, and executable prompts. Use this for triaging, browsing, and pipeline management.
```
GET https://bkmrkapp.com/api/agent/library
X-API-Key: {BKMRK_API_KEY}
```
All query parameters are optional:
- `bookmark_id` — Fetch a specific bookmark by UUID (use to check status after submit)
- `status` — Filter by card status: `new`, `staged`, `done`, `trashed`
- `project_id` — Filter by project UUID
-...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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