Implements the NOWAIT technique from the paper "Wait, We Don't Need to 'Wait'! Removing Thinking Tokens Improves Reasoning Efficiency" (Wang et al., 2025).
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add davila7/claude-code-templates --skill nowait-reasoning-optimizerCompatible with
Supported agents
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionnowait-reasoning-optimizerExecute the skills CLI command in your project's root directory to begin installation:
epx add davila7/claude-code-templates --skill nowait-reasoning-optimizerFetches nowait-reasoning-optimizer from davila7/claude-code-templates and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/nowait-reasoning-optimizer
Restart Cursor to activate nowait-reasoning-optimizer. Access via /nowait-reasoning-optimizerin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
ml-paper-writing
davila7/claude-code-templates · AI/ML · same repo
scientific-brainstorming
davila7/claude-code-templates · AI/ML · same repo
senior-data-engineer
davila7/claude-code-templates · Productivity · same repo
backend-to-frontend-handoff-docs
davila7/claude-code-templates · Frontend · same repo
idor-vulnerability-testing
davila7/claude-code-templates · Testing · same repo
skill-optimizer
mcollina/skills · Productivity · tag: optimizer
Registry listing for nowait-reasoning-optimizer matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: nowait-reasoning-optimizer is focused, and the summary matches what you get after install.
nowait-reasoning-optimizer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
nowait-reasoning-optimizer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added nowait-reasoning-optimizer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in nowait-reasoning-optimizer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added nowait-reasoning-optimizer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
nowait-reasoning-optimizer has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: nowait-reasoning-optimizer is focused, and the summary matches what you get after install.
nowait-reasoning-optimizer has been reliable in day-to-day use. Documentation quality is above average for community skills.
showing 1-10 of 69