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By the ConnectLabz Systems team — skills are files first, logos second.
Key Takeaways
- Claude skills are portable instructions — markdown playbooks, examples, guardrails — not Claude-only magic dust.
- You can adapt the same skill content for ChatGPT, Gemini, Copilot, and Cursor-style agents; the loader differs per product.
- What transfers cleanly: brand voice rules, brief templates, QA checklists, step order, banned phrases.
- What needs rework: tool calls, file paths, native skill formats, token limits, image handling.
- ConnectLabz Systems ship as skill + workflow files you own — model-swappable by design. See Claude Skills for Marketing for anatomy.
- Runtime setup for Claude: How to Use Claude Code for Marketing.
The Autocomplete Question (Why This Post Exists)
Google suggests an entire family verbatim:
- “can claude skills be used with chatgpt”
- “can claude skills be used with gemini”
- “can claude skills be used with copilot”
- “can claude skills be used with cursor”
- “are claude skills only for claude code”
Almost no dedicated page answers in marketer language. That gap is strange because the honest answer is both yes (mostly) and it depends (on format) — exactly the kind of nuance buyers need before they bet a stack on one vendor.
What a Skill Actually Is (Portable Layer)
Anthropic’s Agent Skills pattern: a folder with SKILL.md — name, description, when to use, steps, examples, resources. Simon Willison’s October 2025 analysis treated skills as a big deal partly because they are small, loadable standards rather than monolithic prompts.
Strip the branding: a marketing skill is SOP text machines can follow. SOPs do not care which logo sits on the chat box.
The non-portable layer is the host integration — how the tool discovers skills, which tools the agent may call, how files are read.
Compatibility Matrix (Honest)
| Host | Use same skill content? | Native skill auto-load? | Typical adaptation |
|---|---|---|---|
| Claude Code / Claude agents | Yes | Yes (Agent Skills) | Lowest friction |
| ChatGPT (Projects / custom GPT) | Yes | Manual — upload / paste / project files | Re-wrap description trigger |
| Gemini (Gems / workspace) | Yes | Manual — gem instructions + files | Shorter steps help |
| Microsoft Copilot (M365) | Partial | Enterprise policies vary | Often summary-only skills |
| Cursor / other coding agents | Yes | Project rules + skill files | Good for file-native marketing ops |
Bottom line: skills are cross-model by content, not always by plug-and-play loader.
How to Port a Claude Skill to ChatGPT
- Copy the core
SKILL.mdbody. - Paste into a Project system instruction or custom GPT knowledge.
- Add a trigger line: “When I ask for [job], follow the [Skill Name] steps exactly.”
- Upload supporting examples as files if the host allows.
- Run a test brief; note where ChatGPT rushes past verification — tighten step 4 in the skill.
ChatGPT will not auto-discover skills from a folder unless you use an agent product that reads directories. Treat it like onboarding a freelancer — give the playbook every session until Projects hold it.
How to Port to Gemini
Gems favor concise instruction blocks. Split long skills into:
- Gem instruction: role + when to use + non-negotiables
- Attached files: examples, banned phrases, CTA rules
Gemini’s context and tool access shift by plan [VERIFY current tiers]. Test claim-check behavior — Gemini may paraphrase sources loosely; keep a human verification gate.
How to Port to Copilot
Copilot inside Microsoft 365 often lacks Claude Code’s filesystem agent behavior. Skills work best as:
- Short operational checklists in Word/Loop
- Copilot prompts pinned to client notebooks
For heavy file workflows, Copilot is weaker than Claude Code or Cursor — not impossible, just not the primary host we recommend for content factories.
Cursor and “Claude Skills with Cursor”
Cursor reads project rules and files — natural home for marketing skills if you already edit in an IDE-shaped tool. The skill file sits in repo; Cursor rules point agents at it. This is how technical marketers get Claude-skill semantics without Claude-only runtime.
What Works Less Well Cross-Model
- Script steps written for Claude’s bash environment
- Very long skills on hosts with smaller effective context
- Tool-specific MCP connectors tied to one ecosystem
- Implicit memory — every host forgets unless files persist externally
Our systems keep canonical markdown in repo; host-specific wrappers are thin. That is the product’s “runs on any AI” claim — not that every button is identical.
Cross-Model QA Discipline
Regardless of host:
- Same verification checklist file
- Same banned-phrase list
- Same “no stat without URL” rule
- Same human approve before publish
Models differ in tone; standards should not.
Strategic Implication — Avoid Vendor Lock-In on SOPs
Zylo 2025 documents rising SaaS spend and stack fog — 64% of marketing leaders struggle to track martech. Model lock-in is the next fog layer if your marketing IP lives only inside one vendor’s custom GPT UI.
Files you own > personas you rent.
That aligns with What Is an AI Marketing System? — owned workflows, swappable engines.
Practical Migration Checklist (One Afternoon)
- Export your best Claude
SKILL.mdto plain markdown - Strip tool-specific bash steps; replace with “save to
drafts/” instructions - Create host wrapper:
- ChatGPT Project: paste skill + attach
brand/voice.md - Gemini Gem: shorten to 800 words + attach examples
- Cursor: add
.cursorrulespointer to skill path
- Run identical brief on two hosts; diff outputs
- Note which host hallucinates sources — tighten verify step
- Canonical skill stays in repo; wrappers are disposable
We ship ConnectLabz Systems this way: one canonical skill library, thin per-host notes.
When Not to Bother Porting
- You only use one model forever — porting tax may exceed benefit
- Your skill is 80% bash scripts — rebuild per host
- You need auto-invoke discovery only Anthropic provides today
- Compliance requires a single vendor audit trail
Honesty sells systems. We still recommend Claude Code for file-native marketing ops (how-to guide) while keeping skill content portable.
Side-by-Side — Same Brief, Two Hosts
We ran the same content brief skill (abbreviated) on Claude Code and a ChatGPT Project:
| Output trait | Claude Code | ChatGPT Project |
|---|---|---|
| Followed outline order | Strong | Strong |
| Source discipline | Strong with gate | Needed reminder |
| Voice consistency | Strong after voice file | Strong after voice file |
| File output | Native markdown | Copy-paste export |
| Setup friction | Higher | Lower |
Takeaway: content quality converges when skills + voice files match; friction differs. Pick host by filesystem needs, not superstition.
Copilot + Cursor Combo (Common Agency Setup)
Some operators use Cursor for file-heavy content batches and Copilot for Outlook/Word polish. Skills live in git; Copilot gets a shortened checklist version. Document which host is canonical to avoid editing the wrong copy.
This is messy but real — portability does not mean “one button everywhere.” It means one source of truth for standards.
Gemini Gems — Trim Guide
If your Claude skill is 2,500 words, Gemini Gem instructions should be ~600–900 words:
- Keep: when-to-use, steps, banned phrases, 1 good example
- Move to attachment: long exemplars, tables, scripts
- Test: “cite sources or say unknown” line — Gemini may need it repeated twice
Cross-model is editing discipline, not copy-paste laziness.
For product-level compatibility claims, see FAQs — this post is the operator translation layer.
If a host changes tomorrow, your SKILL.md should still read like a sensible SOP — that is the portability test.
FAQ (Autocomplete Verbatim)
Can Claude skills be used with ChatGPT?
Yes — copy skill instructions into Projects or custom GPTs; auto-load differs from Claude Code.
Can Claude skills be used with Gemini?
Yes — adapt to Gem instructions plus attached examples; verify sourcing behavior manually.
Can Claude skills be used with Copilot?
Partially — best for checklists and prompts inside Microsoft apps; weak for filesystem-heavy agent workflows.
Can Claude skills be used with Cursor?
Yes — project rules plus skill files in repo; strong for file-native marketing ops.
Are Claude skills only for Claude Code?
No. Native Agent Skills loading is Anthropic-specific; the playbook content is model-agnostic with adaptation.
Conclusion
Can Claude skills be used with ChatGPT, Gemini, or Copilot? The instructions — yes, with host-specific wrapping. The automatic loader — not always. Treat skills as owned SOPs; treat models as engines you can swap. That is how we build ConnectLabz Systems, and it is how you avoid rebuilding your marketing brain every time a new logo trends on Twitter.
More compatibility detail lives on our FAQs. To see cross-model workflows running inside productized systems, book a demo — we will show the files, not just the chat box.
