cubeplexai/cubeplex/skill-creator
Claude Code and agent skill by cubeplexai/cubeplex
- community
Checking that the SKILL.md file is still in the repository.
Builds, edits, and publishes CubePlex skills (SKILL.md bundles) into the current workspace. Use when the user asks to create, build, write, design, package, or capture a reusable agent workflow as a skill; to edit, improve, fix, rename, or bump a skill; or to publish, upload, or share a skill in this workspace. Also use for Chinese requests like 写个 skill、封装成 skill、 发布 skill、把刚才的流程收成 skill.
Install
npx vskill@latest install cubeplexai/cubeplex/skill-creatorSKILL.md
Skill Creator
Guide for authoring a publishable skill bundle in the sandbox and installing it into the current workspace.
A skill is a directory with SKILL.md at its root plus optional sibling files. You draft under /workspace/, register with save_artifact, then publish.
When you need the full checklist or a copy-paste minimal example, read:
references/quality-checklist.md(use thepathfromload_skillfor this skill)references/minimal-skill.example.md
Workflow
1. Intent
Choose one:
| Intent | Meaning | |
|---|---|---|
| New | Design a skill from requirements | |
| Capture-from-chat | Turn this conversation’s workflow into a skill | |
| Edit existing | Change an installed skill and republish |
2. Search before create
If the user might already have something usable, call platform_skills_find once. Only create a new skill when nothing fits or they want a custom fork.
3. Ground the request
Collect only what changes the skill: problem, audience, success criteria, out of scope. Prefer a short interview over a long questionnaire.
Capture-from-chat (required safeguards):
- Extract durable procedure from the conversation (steps, tools, deliverables,
corrections the user made).
- Scrub secrets, tokens, API keys, passwords, and obvious PII. Drop one-off
ticket IDs and temporary workarounds unless the user wants them kept.
- If the conversation is mostly credentials or customer data, refuse to package
it as-is; ask for a sanitized procedure instead.
- Before publish, show the full draft `SKILL.md` (not only the description)
and get explicit confirmation of that content.
4. Draft the description (before a long body)
Write frontmatter description in third person, 1–2 sentences, WHAT + WHEN, with trigger phrases the user is likely to say. Show it to the user and adjust.
Examples of good shape (fictional):
- ✓
Drafts a short weekly status from the user's notes. Use when the user asks for a weekly status or standup write-up. - ✗
I can help you write status updates(first person) - ✗
Helps with reports(no WHEN)
5. Create the bundle directory
Somewhere under /workspace/ (recommended: /workspace/skills/<slug>/).
- Do not draft under
/tmp/(lost on restart). - Do not write into
/workspace/.skills/...(read-only sync of installed skills).
Typical layout:
Directory name need not match frontmatter name, but matching helps.
6. Write SKILL.md
See Frontmatter and Body below. Optional supporting files: reference them with bundle-relative paths (e.g. python scripts/fetch.py, read references/schema.md). At runtime the agent must use the path field from load_skill for absolute paths — never hand-build /workspace/.skills/<name>/... (colons become __ on disk).
7. Pre-publish checklist
Run through references/quality-checklist.md (or the short list there). Do not publish until frontmatter, layout, size caps, and rule C pass.
8. Register as skill artifact
Call save_artifact with:
path= the bundle directoryartifact_type="skill"entry_file="SKILL.md"name= human-readable name (usually frontmattername)
The conversation artifact panel shows a Publish button.
9. Publish to the current workspace
A skill artifact is a draft until published. It does not appear in load_skill or the available-skills list before that. Publish installs into the current workspace (not the org-wide admin marketplace zip path).
Ask how the user wants to publish:
- They click Publish in the artifact panel, or
- You call
platform_skills_publish_skill(artifact_id="...")with their consent
Report the returned canonical name (e.g. acme:weekly-status-summary) and version.
10. Light verify
load_skill(<canonical_name>)— confirm content andpath.- Optional: one cheap dry-run of the skill’s main path if the user wants proof.
Editing an existing skill
Installed skill trees under /workspace/.skills/<safe-name>/<version>/ are read-only and rewritten on every sync. Never edit in place.
load_skillthe skill. Use the returnedpathas the copy source (do not
reconstruct paths; org:slug becomes org__slug on disk).
- Copy to a writable path, e.g.
cp -r <path-from-load_skill> /workspace/skills/<slug>
- Edit. Leave
versionunset so the server assigns the next patch. save_artifact+ publish (same as create), with consent.
Fork semantics (critical)
| Source | What publish does | |
|---|---|---|
Uploaded org:slug | New version of that skill when name is unchanged | |
| Preinstalled bare name | Creates/updates `org-slug:<name>` — a fork, not a system overwrite |
Also:
- Tell the user clearly this is a fork if the source was preinstalled.
- Prefer a distinct frontmatter
namefor customizations so the fork does
not sit next to the same bare slug. If they reuse the slug, warn that both may stay installed.
- Make the fork description distinguishable so auto-invoke can prefer it.
- Verify with
load_skillon the fork’s canonical name. - Do not claim that forking disables or shadows the preinstalled skill —
both can remain enabled; load_skill requires the exact name.
Frontmatter
Name rules
- Format:
^[a-z0-9][a-z0-9-]{0,62}$(max 63 chars) - No colons — the server adds the org prefix at publish time
- Prefer short stable slugs users will say; do not force gerund forms
Description rules
Loaded into the agent’s skill list and drives auto-load. Wrong description → skill never fires.
- Third person only
- WHAT + WHEN + likely trigger phrases
- One or two sentences
Version rules
- Omit by default — server assigns next patch (
1.0.0, then1.0.1, …) - Same version string cannot be published twice (
VersionCollisionError) - Set
versiononly if the user explicitly wants a specific number
Optional env requirements
Only requires.env is consumed today (surfaced at preview/install). Aliases openclaw, clawdbot, clawdis behave the same as cubeplex.
Body guidelines
Second person, step by step
The body is the agent’s runbook. Numbered steps; say which tool to call and what to deliver.
One job per skill
Prefer two skills over one giant create/edit branch.
Keep it short
Loaded skill text stays in context for the rest of the conversation. Cut general programming lectures and anything already in the system prompt. Target under 500 lines; put bulk in references/, scripts/, or templates/.
Platform tools — rule C (not a catalog)
Assume the runtime agent has the same class of platform tools you see in this run (sandbox, artifacts, skills APIs, delegation, etc.). For parameters, use the live tool list / schemas in the current conversation.
Do not restate full tool schemas inside the skill. Do name a tool when this workflow depends on it: when to prefer it, and any workflow-local constraints the generic description does not already cover.
| Do | Don’t | |
|---|---|---|
| Name exact tools this job needs | Dump every platform tool “for completeness” | |
| Prefer/avoid rules for this deliverable | Copy system-prompt tool prose wholesale | |
| Skill-specific contracts (checklists, prompt shape for sub-tasks) | Point authors at other installed skills as templates |
If the skill does not need a capability, do not mention it.
External services
For MCP or HTTP APIs: exact tool name + one concrete input/output example.
Terminology and time
One term per concept. Avoid “before date X, use Y”; use a clear Legacy section or remove outdated guidance.
Size limits
Server rejects bundles with a single file > 10 MB or total size > 50 MB.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingbackend/skills/preinstalled/skill-creator/SKILL.md
Popularity
- 7-day trend score
- 5
Refreshed 8 Oct 2026, a month ago.
Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
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- AI Agent
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- Amazon Q
- Firebase Genkit
- Sweep
- Devin
- Phind
- Mentat
- Claude Desktop
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- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
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- BetterChatGPT
- LibreChat
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- Pieces
- Fig AI
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