Comprehensive toolkit for reducing token usage and API costs in OpenClaw deployments. Combines smart model routing, optimized heartbeat intervals, usage tracking, and multi-provider strategies.
Create detailed user stories, acceptance criteria, and feature specs
Example: Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example: Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example: Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example: Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Submit your Claude Code skill and start earning
epx add asif2bd/openclaw-token-optimizer --skill token-optimizerCompatible with
Supported agents
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiontoken-optimizerExecute the skills CLI command in your project's root directory to begin installation:
epx add asif2bd/openclaw-token-optimizer --skill token-optimizerFetches token-optimizer from asif2bd/openclaw-token-optimizer 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/token-optimizer
Restart Cursor to activate token-optimizer. Access via /token-optimizerin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Time estimate: 30-60 minutes to see productivity improvements
Prerequisites
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
write-a-prd
mattpocock/skills · Productivity · same category
travel-planner
ailabs-393/ai-labs-claude-skills · Productivity · same category
smart-ocr
claude-office-skills/skills · Productivity · same category
filament-pro
marcelorodrigo/agent-skills · Productivity · same category
electron-best-practices
jwynia/agent-skills · Productivity · same category
stock-analysis
liusai0820/stock-analysis-skill · Productivity · same category
token-optimizer has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in token-optimizer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for token-optimizer matched our evaluation — installs cleanly and behaves as described in the markdown.
token-optimizer has been reliable in day-to-day use. Documentation quality is above average for community skills.
We added token-optimizer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in token-optimizer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: token-optimizer is focused, and the summary matches what you get after install.
I recommend token-optimizer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added token-optimizer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
token-optimizer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
showing 1-10 of 72