memx
Use when an agent needs to recall, save, inspect, or audit memX memories through the bundled MCP tools.
A skill ships inside a plugin. Install the plugin, and a skill that gets Auto-invokedWhat is this?This plugin ships a FLOW.md router the engine fires, so the matching skill runs itself. No slash command to remember.Learn how → runs itself when your prompt calls for it.
40,077 skills across 2,408 plugins. 1,867 of them fire as you prompt.
Use when an agent needs to recall, save, inspect, or audit memX memories through the bundled MCP tools.
Searches, saves, and maintains a local document index through a local RAG MCP server. Use when user says "search my docs", "save this page", "read around that…
A local-first, privacy-centric memory infrastructure layer for MCP clients. MARM provides a persistent data substrate for long-term project memory, session…
Pay-per-call access to AI models, real-time data, media generation and multi-chain RPC over x402 micropayments (USDC on Base or Solana), or a BlockRun account…
Use when the BlockRun MCP server (@blockrun/mcp) is installed but misbehaving — 'Failed to connect', spawn npx ENOENT, blockrun missing from claude mcp list,…
Use when asked to install, add, configure, or set up the BlockRun MCP server (@blockrun/mcp) in Claude Code, Claude Desktop, Cursor, Windsurf, Codex CLI, Grok…
Find, evaluate, and download low-level common standard CAD parts from step.parts, such as screws, bolts, nuts, washers, bearings, standoffs, electronics parts,…
Generate, validate, and optionally execute read-only BanyanDB BydbQL for STREAM, MEASURE, TRACE, and PROPERTY resources. Use when the user asks to query…
Compile and build the SkyWalking BanyanDB project. Use when the user asks to compile, build, or generate code for this project.
Size-audit, write, and split BanyanDB issues that somebody else or an automated TDD workflow can implement. Use whenever the user asks to file or revise an…
Extract .webarchive files (saved from Safari) into plain HTML/assets using the WebArchiveExtractor CLI. Use when the user wants to unarchive, extract, or…
Create Agent Bricks: Knowledge Assistants (KA) for document Q&A and Supervisor Agents for multi-agent orchestration (MAS).
Use Databricks built-in AI Functions (ai_classify, ai_extract, ai_summarize, ai_mask, ai_translate, ai_fix_grammar, ai_gen, ai_analyze_sentiment,…
Create Databricks AI/BI dashboards. Must use when creating, updating, or deploying Lakeview dashboards as Databricks Dashboard have a unique json structure.…
Query ClickHouse system tables to inspect query logs, monitor cluster health, check replication status, and analyze slow queries. Use when the user mentions…
Diagnose ClickHouse cluster health and provide concrete remediation.
Diagnose ClickHouse runtime query failures when the user wants database-level cause and fix guidance from an error or numeric error code, not source-code root…
Reads web content and searches the web using Jina AI Reader API. Use when extracting content from URLs, reading social media posts (X/Twitter), or web…
全面的AB测试分析工具,支持实验设计、统计检验、用户分群分析和可视化报告生成。用于分析产品改版、营销活动、功能优化等AB测试结果,提供统计显著性检验和深度洞察。
Perform multi-touch attribution analysis using Markov chains, Shapley values, and custom attribution models. Use when you need to analyze marketing channel…
Generates production-ready analysis code in Python, R, SQL. Invoke when user wants reusable code for data analysis, ML, or visualization.
Onboard an agent to Bright Data. Use when a coding agent first encounters Bright Data — for live web work (search, scrape, structured data), for wiring Bright…
Social listening and brand reputation research using Bright Data's web scraping infrastructure. Collects what real people are saying about a brand, product, or…
Debug Bright Data Scraping Browser sessions using the Browser Sessions API. Use this skill when the user encounters a Bright Data browser session error,…
Query Google Health API v4 — steps, heart rate, exercise, sleep, weight, SpO2, HRV, ECG, blood glucose, nutrition, and 40 total data types
Shared prerequisites for all ghealth skills — auth, setup, global flags, command structure
X OAuth 2.0 client ID for user-context operations (bookmarks, likes, following, diff)
Betting analysis — odds conversion, de-vigging, edge detection, Kelly criterion, arbitrage detection, parlay analysis, and line movement. Pure computation, no…
College Basketball (CBB) data via ESPN public endpoints and the NCAA's official endpoints — scores, standings, rosters, schedules, game summaries,…
College Football (CFB) data via ESPN public endpoints and the NCAA's official endpoints — scores, standings, rosters, schedules, game summaries, play-by-play,…
Any live-web task via the Firecrawl CLI — including ordinary web research: searching the web, reading or extracting pages, gathering sources, discovering site…
Autonomously navigate websites and extract structured data across pages. Use when the task requires navigation or no suitable ready-made workflow or data…
Find a direct path to structured data through ready-made workflows, data APIs, and indexes. Follow the search skill to discover and inspect tools, then the…
KV cache for repeated reads — call slm_cache_get(key) first; on a miss do the expensive operation then slm_cache_set(key, value, ttl_seconds) to store it; on a…
Compress large text, tool output, or transcripts to reduce context-window usage while keeping the full 1M window intact — call slm_compress(content, mode,…
Enterprise compliance and governed workspace behavior for SuperLocalMemory. Covers role-based access (admin/member/viewer), retention policies, audit trail,…
Use when creating, reviewing, or styling charts, graphs, dashboards, sparklines, or any data visualization. Applies to Recharts, ECharts, Chart.js, matplotlib,…
Persistent memory for AI coding agents. Teaches agents how to use OMEGA's MCP tools for storing decisions, querying context, coordinating multi-agent…
ClawMem operational reference for agents at query time — the 3-rule escalation gate, MCP tool routing, the 4 query-optimization levers, pipeline behavior…
Adaptive requirements clarification with auto-depth routing. Shallow (Q&A) for simple tasks, Deep (exploration + DRAFT + PLAN) for complex ones. Escalates…
TDD implementation (RED→GREEN→REFACTOR) → verify → review
Session start - check progress, suggest next task
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