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LLM field guide / 12 major products

Know what really works in each AI.

Slash commands are not universal. This reference names the exact product surface, links to first-party documentation and labels every entry as a literal control, documented workflow or portable prompt pattern.

Literal product controlDocumented workflowPortable prompt pattern
REAL CONTROL OR PORTABLE PATTERN?PRODUCT CONTROL/compact@pathCLAUDE.mdPROMPT PATTERNGOAL → CHECKSOURCE → CLAIMACT → VERIFY
Maviter portable patterns / Any conversational LLM

Useful names for repeatable instructions.

These seven labels are Maviter shorthand, not secret platform commands. Paste the full instruction after the label, or save it in the platform’s supported instruction system.

Portable prompt pattern

/clarify

Ask only the questions whose answers materially change cost, architecture, safety or user experience. Put the recommended answer first.

Portable prompt pattern

/research

Identify time-sensitive claims, prefer primary sources and separate sourced fact from inference.

Portable prompt pattern

/architect

Convert the approved outcome into phases, dependencies, acceptance checks and freeze boundaries.

Portable prompt pattern

/protect

Inventory existing behaviour, data and infrastructure that the next change must preserve.

Portable prompt pattern

/loop

Repeat act, test, inspect evidence and correct—then stop at completion, the attempt limit or an approval boundary.

Portable prompt pattern

/review

Evaluate the result against approved requirements and report evidence-backed defects by severity.

Portable prompt pattern

/handoff

Record exact state, revision, next action, risk, secret boundary and rollback for the next operator.

Chat / OpenAI

ChatGPT

Ongoing writing, study, research and mixed-media projects

Official reference: OpenAI: Projects in ChatGPT ↗
Literal product control

Projects

Keep related chats, files and project instructions together for ongoing work.

Literal product control

Project instructions

Set project-specific guidance for tone, format and working method without changing global instructions.

Portable prompt pattern

Source boundary

State which supplied files and approved web sources may support the answer.

Coding / OpenAI

Codex

Repository work that needs instructions, evidence and code review

Official reference: OpenAI: Codex developer commands ↗
Literal product control

AGENTS.md

Store repository and directory-scoped working agreements in version control.

Literal product control

/compact

Replace an overlong transcript with a concise continuation summary when context grows.

Literal product control

/review

Start a review of uncommitted changes or compare the current work against a base branch.

Coding / Anthropic

Claude Code

Long-running coding work with project rules and bounded permissions

Official reference: Anthropic: Claude Code memory ↗
Literal product control

CLAUDE.md

Provide concise project standards, common commands and architecture context.

Literal product control

/init

Generate or improve a starting project instruction file after repository analysis.

Portable prompt pattern

Plan before mutation

Inspect first, name affected files and checks, then edit only the approved scope.

Coding / Google

Gemini + Gemini CLI

Multimodal analysis, long context and terminal-based project work

Official reference: Google: Gemini CLI commands ↗
Literal product control

GEMINI.md

Load hierarchical project instructions into Gemini CLI sessions.

Literal product control

/memory show

Inspect the concatenated context currently supplied by instruction files.

Literal product control

@path

Attach the contents of a named file or directory to the current prompt.

Coding / GitHub

GitHub Copilot

Repository-aware assistance, code review and team conventions

Official reference: GitHub: Custom instruction support ↗
Literal product control

.github/copilot-instructions.md

Provide repository-wide instructions in the Copilot surfaces listed in GitHub’s compatibility matrix.

Documented workflow

Path-specific instructions

Where supported, apply specialist rules only to matching files instead of overloading global context.

Portable prompt pattern

Acceptance-first task

Name the desired behaviour and required tests before requesting implementation.

Chat / Moonshot AI

Kimi

Long documents, reference-led synthesis and structured writing

Official reference: Moonshot AI: Prompt best practices ↗
Documented workflow

Reference-only answer

Tell Kimi to answer from supplied reference text and say when the answer is absent.

Documented workflow

Chunk, summarise, combine

Summarise long material in bounded sections before producing a summary of summaries.

Portable prompt pattern

Delimited brief

Separate context, task, constraints and output format with visible delimiters.

Research / Perplexity

Perplexity

Current-web research that should retain sources and project context

Official reference: Perplexity: Projects (current page on a legacy permalink) ↗
Literal product control

Projects

Keep searches, files, instructions and collaborators inside one persistent workspace.

Documented workflow

Prioritised domains

Add trusted links or domains when the research must privilege named sources.

Portable prompt pattern

Claim-source table

Return each material claim beside its source and note any unresolved disagreement.

Research / xAI

Grok

Web and X research combined with code-backed analysis

Official reference: xAI: Tools overview ↗
Literal product control

web_search + x_search

Combine web sources with X posts when both evidence classes are relevant.

Literal product control

code_interpreter

Use code execution for calculations and analysis instead of prose arithmetic.

Portable prompt pattern

Evidence classes

Separate official facts, reported claims and social signals in the final answer.

API / DeepSeek

DeepSeek API

OpenAI-compatible API workflows with explicit output contracts

Official reference: DeepSeek: Models and capabilities ↗
Literal product control

Thinking mode

Choose thinking or non-thinking behaviour deliberately for the task and latency budget.

Literal product control

JSON output

Use the documented structured-output capability when downstream code requires JSON.

Portable prompt pattern

Validate before routing

Test the selected model, schema and tool behaviour before changing production traffic.

API / NVIDIA

NVIDIA NIM

Self-hosted or enterprise inference with observable health

Official reference: NVIDIA: NIM LLM API reference ↗
Literal product control

GET /v1/models

Inspect the model identifier currently served before sending inference requests.

Literal product control

GET /v1/health/ready

Route traffic only after the loaded model reports readiness.

Portable prompt pattern

Compatibility contract

Record the endpoint format, model ID, tool support and fallback before deployment.

Work / Microsoft

Microsoft Copilot

Work grounded in Microsoft 365 files, pages and notebooks

Official reference: Microsoft: Copilot Notebook instructions ↗
Literal product control

Notebook instructions

Set persistent topic, tone and response-format guidance for a Copilot Notebook.

Documented workflow

References

Ground the notebook in the relevant Word, Excel, PowerPoint, PDF or OneNote material.

Pattern source ↗
Portable prompt pattern

Decision memo

Return recommendation, evidence, trade-offs, owner and next action in one reusable page.

Work / Mistral AI

Vibe

Professional chat, coding and knowledge-backed agents

Official reference: Mistral AI: Vibe overview ↗
Literal product control

Vibe Work / Code / Chat

Choose the product mode that matches professional work, coding or turn-based chat.

Documented workflow

Library-grounded agent

Connect an agent to an approved Library when its answers must use a controlled knowledge set.

Pattern source ↗
Portable prompt pattern

Source-safe brief

Name allowed references, prohibited assumptions and the required evidence in the output.

A shortcut improves one move

A complete Prompt Pack protects the whole outcome.

Use the reference to choose product-native controls. Use Maviter when the job needs decisions, phases, checks and a saved handoff.

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