OpenClaw introduced Skill Workshop, a review framework designed to transition agent-generated tasks into permanent, reusable workflows. Instead of immediately integrating agent suggestions, the platform initiates a draft process where proposed instructions are saved as 'PROPOSAL.md' rather than active 'SKILL.md' files. This allows users to inspect, revise, and refine agent-proposed procedures before they influence future operations. Skill Workshop provides two primary interface views: a Board view for managing state-based proposals (pending, applied, rejected, stale) and a Today view for rapid, sequential review of tasks ready for approval. These views enable users to search, preview, and adjust scripts or templates, ensuring that mistakes in agent output do not become persistent system behaviors.

The workflow facilitates iterative collaboration, allowing users to request specific changes like adding VIP sender rules or clarifying dry-run steps directly within the proposal history. Once a skill is finalized, users can apply it, at which point the agent executes the formal integration. This system supports the inclusion of essential support materials, such as assets, examples, references, scripts, and templates, which travel with the proposal for review. To ensure system integrity, OpenClaw enforces strict path rules, prohibiting absolute paths or file traversal, which keeps the write operations contained within designated skill folders. This centralized proposal flow operates consistently across chat, the Control UI, channels, the CLI, and the OpenClaw Gateway. By functioning as a mandatory checkpoint, Skill Workshop ensures that users maintain oversight while agents build repeatable processes, balancing automated efficiency with human validation.

OpenClaw introduced Skill Workshop, a review framework designed to transition agent-generated tasks into permanent, reusable workflows. Instead of immediately integrating agent suggestions, the platform initiates a draft process where proposed instructions are saved as 'PROPOSAL.md' rather than active 'SKILL.md' files. This allows users to inspect, revise, and refine agent-proposed procedures before they influence future operations. Skill Workshop provides two primary interface views: a Board view for managing state-based proposals (pending, applied, rejected, stale) and a Today view for rapid, sequential review of tasks ready for approval. These views enable users to search, preview, and adjust scripts or templates, ensuring that mistakes in agent output do not become persistent system behaviors.

The workflow facilitates iterative collaboration, allowing users to request specific changes like adding VIP sender rules or clarifying dry-run steps directly within the proposal history. Once a skill is finalized, users can apply it, at which point the agent executes the formal integration. This system supports the inclusion of essential support materials, such as assets, examples, references, scripts, and templates, which travel with the proposal for review. To ensure system integrity, OpenClaw enforces strict path rules, prohibiting absolute paths or file traversal, which keeps the write operations contained within designated skill folders. This centralized proposal flow operates consistently across chat, the Control UI, channels, the CLI, and the OpenClaw Gateway. By functioning as a mandatory checkpoint, Skill Workshop ensures that users maintain oversight while agents build repeatable processes, balancing automated efficiency with human validation.