This skill provides comprehensive cryptocurrency research by orchestrating multiple specialized AI agents that analyze different aspects of the crypto market in parallel.
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 microck/ordinary-claude-skills --skill crypto-researchCompatible with
Supported agents
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioncrypto-researchExecute the skills CLI command in your project's root directory to begin installation:
epx add microck/ordinary-claude-skills --skill crypto-researchFetches crypto-research from microck/ordinary-claude-skills 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/crypto-research
Restart Cursor to activate crypto-research. Access via /crypto-researchin 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.
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crypto-research has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: crypto-research is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend crypto-research for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: crypto-research is focused, and the summary matches what you get after install.
Useful defaults in crypto-research — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for crypto-research matched our evaluation — installs cleanly and behaves as described in the markdown.
We added crypto-research from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
crypto-research fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: crypto-research is focused, and the summary matches what you get after install.
I recommend crypto-research for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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