cubeplexai/cubeplex/skill-creator

Claude Code and agent skill by cubeplexai/cubeplex

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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-creator

SKILL.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 the path from load_skill for this skill)
  • references/minimal-skill.example.md

Workflow

1. Intent

Choose one:

IntentMeaning
NewDesign a skill from requirements
Capture-from-chatTurn this conversation’s workflow into a skill
Edit existingChange 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):

  1. Extract durable procedure from the conversation (steps, tools, deliverables,

corrections the user made).

  1. Scrub secrets, tokens, API keys, passwords, and obvious PII. Drop one-off

ticket IDs and temporary workarounds unless the user wants them kept.

  1. If the conversation is mostly credentials or customer data, refuse to package

it as-is; ask for a sanitized procedure instead.

  1. 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:

text
/workspace/skills/weekly-status-summary/
SKILL.md # required at root
scripts/ # optional — executable helpers
references/ # optional — long docs loaded on demand (plural)
templates/ # optional — fixtures the agent fills in

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 directory
  • artifact_type="skill"
  • entry_file="SKILL.md"
  • name = human-readable name (usually frontmatter name)

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
  1. load_skill(<canonical_name>) — confirm content and path.
  2. 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.

  1. load_skill the skill. Use the returned path as the copy source (do not

reconstruct paths; org:slug becomes org__slug on disk).

  1. Copy to a writable path, e.g.

cp -r <path-from-load_skill> /workspace/skills/<slug>

  1. Edit. Leave version unset so the server assigns the next patch.
  2. save_artifact + publish (same as create), with consent.
Fork semantics (critical)
SourceWhat publish does
Uploaded org:slugNew version of that skill when name is unchanged
Preinstalled bare nameCreates/updates `org-slug:<name>` — a fork, not a system overwrite

Also:

  1. Tell the user clearly this is a fork if the source was preinstalled.
  2. Prefer a distinct frontmatter name for customizations so the fork does

not sit next to the same bare slug. If they reuse the slug, warn that both may stay installed.

  1. Make the fork description distinguishable so auto-invoke can prefer it.
  2. Verify with load_skill on the fork’s canonical name.
  3. Do not claim that forking disables or shadows the preinstalled skill —

both can remain enabled; load_skill requires the exact name.

Frontmatter

yaml
---
name: my-skill # required — Name rules
description: … # required — Description rules
version: 1.0.0 # optional — omit by default
keywords: # optional
- tag-one
---
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, then 1.0.1, …)
  • Same version string cannot be published twice (VersionCollisionError)
  • Set version only if the user explicitly wants a specific number
Optional env requirements
yaml
cubeplex:
requires:
env: [MY_API_KEY]

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.

DoDon’t
Name exact tools this job needsDump every platform tool “for completeness”
Prefer/avoid rules for this deliverableCopy 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

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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  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
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