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Records

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jstanden
records

Introspecting THIS Cerb install's record types with the `cerb records` command line -- aliases, searchable filters, writable fields, and why those last two are separate namespaces. Load it before naming any field or filter.

Overview

Publisherjstanden
Repositorycerb
Skill namerecords
Stars
83
Forks
38
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by jstanden on GitHub. Read the source before you install it.

Installation

Install the Records AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/jstanden/cerb/tree/12.0.x/features/cerberusweb.core/assets/agent_filesystems/cerb-agents/skills/records
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/jstanden/cerb.git /tmp/cerb
mkdir -p .claude/skills
cp -r /tmp/cerb/features/cerberusweb.core/assets/agent_filesystems/cerb-agents/skills/records .claude/skills/records
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Records in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Records on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Records is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Record types, filters, and fields

The cerb command line — this install, not the generic baseline

Your terminal tool carries more than files: cerb is a command line into THIS Cerb install, so you can confirm a record type's alias and its real keys instead of guessing. Prefer it over the docs for lookups — it's one command, and it reflects this installation, including its custom record types and custom fieldsets. The docs describe the generic baseline: they can omit what someone is actually looking at, and list types a plugin here doesn't provide.

cerb records <sub> help prints usage; rows pipe like any command.

  • cerb records types [--filter <text>] — every record type, with the alias that record.*, a data query's of:, and links.<alias>: all take. cerb records types --filter task → task, task_project.
  • cerb records filters <type>[,<type>...] — the keys you can SEARCH by. cerb records filters ticket returns a key/type table: subject Text, importance Number, created Date, owner.id Worker, group.id Record, status Virtual, messages.count.in Number, spam.score Decimal, links.<record-type> Record, plus this install's custom fieldset keys (e.g. testFieldset.date).
  • cerb records fields <type>[,<type>...] — the keys you can WRITE, i.e. what record.create/record.update accept, with a required marker and notes. These are NOT query filters; reach for it when someone asks what a field is called on the record itself.

Filters and fields are separate namespaces

Never lift a key from fields into a query. On task the writable field is owner_id but the search filter is owner.id; writable status_id takes 0/1/2 while the status filter takes open/waiting/closed.

The type: column tells you which syntax applies

Text, Number, Decimal, Date, Seconds, Yes/No, Geo, Worker, Record (a chooser — numeric ids), Search (deep search), Virtual (its own vocabulary, e.g. status:open, watchers:me). The search-queries skill has one expression form per type.

Pipe rather than eyeball a long table

cerb records filters ticket | filters|filter(r => r.type == "Date")|column("key")
cerb records types | types|filter(r => r.is_custom)|column("alias")

Docs as fallback

cerb records is the authority for keys. Fall back to cerb-docs for the things it doesn't cover — background and semantics — and cite what you relied on:

  • /cerb-docs/references/docs/records/types.md — the baseline record type list (the index), plus types/<type>.md for one type's background (e.g. types/ticket.md). Each type page lists its Records API fields, dictionary placeholders, Search Query Fields, and worklist columns.
  • /cerb-docs/references/docs/records/fields/types/ — what a field TYPE means: text, number, float, timestamp, boolean, context, links, url, object, image, extension.

Frequently asked questions

What does the Records AI skill do?

Introspecting THIS Cerb install's record types with the `cerb records` command line -- aliases, searchable filters, writable fields, and why those last two are separate namespaces. Load it before naming any field or filter.

Why use Records on TypingMind?

Because you install it once and use it with any model. Records is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Records in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jstanden/cerb/tree/12.0.x/features/cerberusweb.core/assets/agent_filesystems/cerb-agents/skills/records. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Records?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Records?

As many as you like. As long as a model supports skills, you can use Records with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Records AI skill free?

It is published on GitHub by jstanden. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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