Install
openclaw skills install bkmrkBookmark intelligence for developers. Browse, search, triage, and manage your AI-analyzed library. Submit URLs, assign projects, trigger deep analysis, and e...
openclaw skills install bkmrkYou 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, trashedproject_id — Filter by project UUIDmin_score — Minimum relevance score (e.g. 7)priority — Filter by priority: high, medium, lowsource — Filter by source: sync (from X bookmarks) or agent (submitted via API)limit — Max results (default: 50, max: 100)include_project_analyses — Include per-project deep analysis data (default: true)Examples:
?status=new&min_score=7?status=staged&project_id=<uuid>?source=agent?priority=low&min_score=0Keyword search across titles, explanations, actions, authors, and URLs. Use this when looking for something specific.
POST https://bkmrkapp.com/api/agent/query
Content-Type: application/json
X-API-Key: {BKMRK_API_KEY}
{
"q": "search terms",
"project": "ProjectName",
"priority": "high",
"status": "new",
"limit": 10
}
All fields are optional. Returns results sorted by relevance score.
Move cards through the pipeline: new → staged → done, or trash/restore them.
POST https://bkmrkapp.com/api/status
Content-Type: application/json
X-API-Key: {BKMRK_API_KEY}
Single item:
{ "bookmark_id": "<uuid>", "status": "staged" }
Batch update:
{ "items": [
{ "bookmark_id": "<uuid>", "status": "done" },
{ "bookmark_id": "<uuid>", "status": "trashed" }
] }
Valid statuses: new, staged, done, trashed (use exact values — "staged" not "stage", "trashed" not "trash"). You can also set "channel": "channel-name" on any item.
List, create, and update coding projects that bookmarks are analyzed against.
List projects:
GET https://bkmrkapp.com/api/projects
X-API-Key: {BKMRK_API_KEY}
Returns all projects with IDs, names, descriptions, tech stacks, and focus areas. Use this to get project UUIDs for other calls.
Create a project:
POST https://bkmrkapp.com/api/projects
Content-Type: application/json
X-API-Key: {BKMRK_API_KEY}
{
"name": "My Project",
"description": "What this project does",
"tech_stack": ["React", "Node.js"],
"focus_areas": ["performance", "auth"],
"analysis_persona": "You are a senior React developer focused on performance optimization and server components.",
"scoring_bias": "Prioritize: React Server Components, streaming SSR, bundle optimization. Deprioritize: Vue, Angular, jQuery."
}
Optional persona fields:
analysis_persona — A role description injected into Claude's system prompt when analyzing bookmarks against this project. Makes analysis domain-aware rather than generic. Example: "You are a senior iOS developer focused on SwiftUI patterns, performance optimization, and Claude AI integration for music apps."scoring_bias — What topics to weight highly or deprioritize for this project. Example: "Prioritize: SwiftUI, barcode scanning, vinyl/music, AI agents, Claude skills. Deprioritize: web frameworks, marketing tools."Update a project:
PUT https://bkmrkapp.com/api/projects
Content-Type: application/json
X-API-Key: {BKMRK_API_KEY}
{
"id": "<project-uuid>",
"description": "Updated description",
"tech_stack": ["React", "Next.js"],
"analysis_persona": "You are a full-stack Next.js engineer...",
"scoring_bias": "Prioritize: App Router, Server Actions, edge runtime."
}
Trigger a deep re-analysis of a bookmark against specific projects. Uses Claude Sonnet for thorough analysis. Returns 202 immediately; results appear in the library within 1-2 minutes.
POST https://bkmrkapp.com/api/reanalyze
Content-Type: application/json
X-API-Key: {BKMRK_API_KEY}
{
"bookmark_id": "<uuid>",
"project_ids": ["<project-uuid>"]
}
Returns job_id, credits_used, and credits_remaining. Each project counts as 1 credit. Limits: Free 25/month, Pro 100/month, Scale 500/month.
Get the user's dashboard summary: projects, tier, stats, and library counts.
GET https://bkmrkapp.com/api/context
X-API-Key: {BKMRK_API_KEY}
Returns project list, subscription tier, total bookmarks, items by status, and sync history.
Send any URL to the library for AI analysis. Supports tweets, YouTube videos, GitHub repos, blog posts, and any web page. Enrichment and analysis run in the background.
POST https://bkmrkapp.com/api/agent/submit
Content-Type: application/json
X-API-Key: {BKMRK_API_KEY}
{
"url": "https://example.com/interesting-article"
}
Supported URL types:
x.com/user/status/123) — fetches full tweet data, thread context, and all URLsOptionally include "project_ids": ["<uuid>"] to analyze against specific projects. Returns 202 with bookmark_id and job_id. Results appear in 1-2 minutes.
Submissions count towards your monthly bookmark cap (Pro 200/month, Scale 500/month). Requires a paid plan.
If the user doesn't have a BKMRK account yet:
POST https://bkmrkapp.com/api/agent/onboard
Content-Type: application/json
{
"email": "user@example.com",
"consent": true
}
Returns an API key immediately. No OAuth needed.
GET /api/context — check current stateGET /api/agent/library?status=new&min_score=7 — find high-value unactioned itemsPOST /api/status — stage the best ones, trash the noiseGET /api/projects — get project UUIDsGET /api/agent/library?project_id=<uuid> — see what's relevant to that projectPOST /api/reanalyze — deep-analyze items that lack per-project dataGET /api/agent/library?project_id=<uuid> — review enriched resultsGET /api/agent/library?priority=low&min_score=0 — find low-value itemsPOST /api/status with batch "status": "trashed" — clear them outPOST /api/agent/submit with a URL — returns bookmark_idGET /api/agent/library?bookmark_id=<uuid> — check status
"status": "processing" → analysis still running, wait 30-60s and retryitems array has results → analysis complete, show the user the score, explanation, and actionFor complete endpoint documentation, pricing tiers, and capabilities:
GET https://bkmrkapp.com/agent.json