跳到正文
FunCoding

搜索

搜索文档、Skill 和 MCP

mem-search

Use this when the user asks to search memory, "did we already solve this?", "how did we do X last time?", or wants work from previous sessions.

数据库与数据98kclaude-mem-cursor/skills/mem-search/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-cursor-skills-mem-search/install.md ，按里面的步骤帮我安装这个 Skill。

SKILL.md

Layered workflow. Do not dump full observations until IDs are filtered, and do not reach for raw tool bodies until the summaries came up short.

  1. search(query) — index with IDs
  2. timeline(anchor=ID) — nearby context
  3. get_observations(ids=[...]) — full details for those IDs only
  4. get_tool_uses(ids=[...]) — the ORIGINAL tool_input / tool_response for specific tool calls. Last resort: these are unsummarized and can run to thousands of tokens each.

Stamp platformSource as cursor or grok-bot on writes for this host. When reading, do not drop the other host unless asked.

If MCP is missing, run the install skill first (npx claude-mem install --ide <host>).

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