OpenClaw Skill Workshop turns a repeated agent procedure into a proposal that a person can review before it becomes active. The important idea is not automatic skill creation; it is the checkpoint between generated instructions and future agent behavior.
A proposed skill stays inactive as PROPOSAL.md. Only an explicit apply action turns reviewed content into the live SKILL.md and accompanying support files.
This guide reflects official information available on September 2, 2026.
When to use Skill Workshop
Use the workshop when the same task returns often enough that a stable procedure would save time.
Good candidates include release checks, invoice follow-up, repository health reviews, or a writing workflow with a repeatable template.
Do not create a skill for a one-off answer, an unclear process, or instructions that still depend on undocumented judgment.
Start by describing the outcome, inputs, limits, validation, and safe fallback.
How the proposal lifecycle works
The agent drafts a proposal rather than writing directly into the active skill set.
You inspect the instructions, supporting files, review state, and revision history.
You can ask for changes, apply an acceptable proposal, reject an unsafe one, or leave it pending.
Until application, OpenClaw does not load the proposal as an executable skill instruction.
Inspect proposals from the CLI
The current official skills documentation lists workshop commands for the proposal lifecycle:
openclaw skills workshop list
openclaw skills workshop inspect <proposal-id>
openclaw skills workshop evaluate <proposal-id>
openclaw skills workshop apply <proposal-id>Run help for your installed release before automating these commands because the interface may change.
Inspection should come before evaluation or application.
Review the instruction itself
- Confirm that the trigger describes when the skill should and should not run.
- Replace vague goals with observable completion checks.
- Preserve required approvals for external writes, messages, payments, or deletion.
- Add a safe stop when credentials, inputs, or ownership are unclear.
- Remove claims the workflow cannot verify.
A reusable mistake is more expensive than a mistaken one-time answer.
Review supporting files
Workshop proposals may include material under assets, examples, references, scripts, and templates.
OpenClaw restricts proposal paths: no absolute paths, traversal, hidden path segments, or writes outside the skill.
Still inspect scripts for network calls, destructive commands, secret handling, and dependencies.
Treat examples as test fixtures, not proof that the workflow works in your environment.
Revise before applying
Use a revision when the proposal is useful but incomplete.
Ask for a specific change such as a dry-run step, narrower file scope, clearer output format, or explicit rollback instruction.
Reinspect the whole proposal after revision; a small request can affect other files or assumptions.
Apply only the version whose instruction and files you actually reviewed.
Validate the live skill
- Confirm that the applied directory contains the expected
SKILL.md. - Run the skill first with nonsensitive inputs and minimal permissions.
- Compare its output with the original repeatable procedure.
- Test a missing-input case and a refusal or rollback path.
- Record who owns future updates and how the skill will be removed.
Review remains necessary after application because dependencies and external services change.
Common Skill Workshop mistakes
Do not apply a proposal simply because its prose sounds polished.
Do not bundle secrets, personal data, or environment-specific absolute paths into support files.
Do not grant broad command access to solve a narrow workflow.
Before using a shared or downloaded component, read the OpenClaw Skill Card security guide and examine its source.
Skill Workshop is most valuable as a controlled learning loop: draft, inspect, revise, test, and only then keep the behavior.