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Claude vs ChatGPT

Aimpoint runs a multi-provider setup (ADR-002).

Side-by-side

ChatGPT / Codex Claude / Claude Code
Agent instructions file AGENTS.md CLAUDE.md (this repo symlinks it to AGENTS.md)
Project skills location .agents/skills/ .claude/skills/
User-level skills ~/.agents/skills/ ~/.claude/skills/
Manual invocation $skill-name /skill-name
Install tooling Built-in $skill-installer Copy folders, or install via plugin/marketplace
Company-wide distribution Enterprise workspace Enterprise upload, Claude Code plugins
Aimpoint status Primary internal (Enterprise since Feb 2026) Client engagements, Cortex Code, some internal use

Both discover skills hierarchically from the working directory up to the repo root, and both read the same SKILL.md format, which is why this repo keeps one source of truth in skills/ rather than per-provider copies.

Practical guidance

  • Internal day-to-day work → Codex with your Enterprise account
  • Client has a Claude license → Claude Code, deployed per the Deployment Options guide (client policy first)
  • Snowflake environments → Cortex Code behaves like Claude Code (/skill-name, .claude/skills/ works)
  • Authoring skills → write provider-neutral instructions in SKILL.md; put provider-specific bits (e.g. agents/openai.yaml) in optional files. Avoid instructions that only make sense in one ecosystem.

Gotchas

  • Invocation prefix differs: $ (Codex) vs / (Claude); the skill name is identical
  • Codex's $skill-installer copies skills into .agents/skills/; edits there don't flow back to skills/**. Same for .claude/skills/. Always PR changes to skills/**.
  • Output handling differs between chat products and CLI agents; see Handling Outputs