Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Consolidates four workflow utilities into one command set: open loop detection, parallel vs serial decision analysis, file size compliance checking, and subworkflow spawning. Operates entirely within your local workspace with no external API calls. Results are written to output subdirectories for later review.
Replaces four separate workflow skills with a single aliased command, reducing context switching during agent-driven workflows.
When to use it
- Scanning a codebase for unresolved TODOs before cutting a release
- Deciding whether to run deployment steps in parallel or in sequence
- Finding source files that exceed a 200-line size threshold
- Auditing infrastructure configs for hardcoded values or manual steps
- Delegating a research or generation task to a specialized background skill
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: /wt parallel "Deploy new payment service to production"
- 1Receives the task description and routes it to the parallel/serial decision framework
- 2Evaluates five factors: team independence, task coupling, interface clarity, pattern consistency, and integration complexity
- 3Scores each factor as favoring parallel or serial execution
- 4Maps the total score to a recommendation with rationale
- 5Writes the decision record to output/parallel-decisions/
Score 1/5: SERIAL deployment recommended, with rationale that the payment service requires sequential canary-to-production rollout and auth dependency verification before each stage