跳到正文
FunCoding

搜索

搜索文档、Skill 和 MCP

claude-mem-install

Use this when setting up claude-mem on Grok Bot: local worker plus CMEM Pro observer (default), optional host-login observer, or remote cmem.ai. No Cursor required.

数据库与数据98kclaude-mem-grok-bot/skills/install/SKILL.md

安装

把这段话发给 Claude Code、Codex 或 Cursor。智能体会先检查安全性,你确认后才安装。

读取 https://funcoding.ai/skills/thedotmack/claude-mem/claude-mem-grok-bot-skills-install/install.md ,按里面的步骤帮我安装这个 Skill。

SKILL.md

Install claude-mem on Grok Bot

Independent of Cursor. Grok Bot has no session-start / file-read / tool-use hooks.

Local worker + CMEM Pro observer (default)

npx claude-mem install --ide grok-bot

Do not pass --provider host unless you want the loopback shim. With no --provider, this is the CMEM Pro path:

  • Worker on 127.0.0.1:<port> (default 37700 + uid%100). Do not restart if healthy.
  • Transcript watcher per Grok Bot agent (platformSource=grok-bot)
  • Observer via CMEM Pro: CLAUDE_MEM_PROVIDER=openrouter, CLAUDE_MEM_OPENROUTER_BASE_URL=https://cmem.ai/api/inference/v1, CLAUDE_MEM_OPENROUTER_MODEL=cmem-observer, API key from installer OAuth (cm_pro memory key)
  • Interactive installer pre-selects CMEM Pro
  • MCP session_start_context at the start of a real task
  • Live INDEX into agents/<uuid>/memory/log/zz-claude-mem-inject.md (disable with CLAUDE_MEM_GROK_BOT_INJECT_ENABLED=false)

No xAI key. No Claude CLI.

Optional: local host-login observer

Explicit opt-in only. Not the user default.

npx claude-mem install --ide grok-bot --provider host

Loopback OpenAI-compatible shim on a free loopback port (not the worker port). Idle replies are <skip_summary />; finished units are one <observation>. This Grok login fulfills inbox jobs (skill host-observer).

Remote worker / remote observer

Set plugin variable CLAUDE_MEM_MCP_TOKEN and use MCP claude-mem-remote.

npx claude-mem install --ide grok-bot --runtime server --server-url https://cmem.ai

相似的 Skill

xlsx
anthropics/skills180k

xlsx

Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

数据库与数据

deprecation-and-migration
addyosmani/agent-skills103k

deprecation-and-migration

Manages deprecation and migration. Use when removing old systems, APIs, or features. Use when migrating users from one implementation to another. Use when migrating a database schema in production, such as renaming or dropping a column without downtime (expand/contract). Use when deciding whether to maintain or sunset existing code.

数据库与数据

connect
ComposioHQ/awesome-claude-skills77k

connect

Connect Claude to any app. Send emails, create issues, post messages, update databases - take real actions across Gmail, Slack, GitHub, Notion, and 1000+ services.

数据库与数据

bioservices
K-Dense-AI/scientific-agent-skills48k

bioservices

Provides a Python interface to bioinformatics services including UniProt, KEGG, ChEMBL, Reactome, QuickGO, and UniChem. Used for cross-database protein annotation, pathway retrieval, chemical identifier mapping, and integrated biological data workflows with BioServices.

数据库与数据

astropy
K-Dense-AI/scientific-agent-skills48k

astropy

Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.

数据库与数据

datalad
K-Dense-AI/scientific-agent-skills48k

datalad

Retrieves, versions, and publishes scientific datasets with DataLad and git-annex, and captures computational provenance with datalad run, rerun, and containers-run. Use when cloning or fetching data from OpenNeuro, DANDI, datasets.datalad.org, or any DataLad dataset; when a file in a dataset reads as a broken symlink or a small pointer instead of real data; when an analysis needs a machine-readable record of how each output was produced so it can be re-executed; or when publishing a dataset to siblings such as a GitHub repository plus a storage remote. Also use to decide between DataLad and plain Git for a data-carrying repository.

数据库与数据