Cache expensive file processing results using SHA-256 content hashes instead of file paths.
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 affaan-m/everything-claude-code --skill content-hash-cache-patternCompatible with
Supported agents
Content-hash keys survive file moves and auto-invalidate when content changes, eliminating path-based cache brittleness
Store cache entries as individual {hash}.json files for O(1) lookup without requiring a separate index
Implement caching as a service layer wrapper around pure processing functions, keeping extraction logic separate from cache concerns
Handle cache corruption gracefully by
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioncontent-hash-cache-patternExecute the skills CLI command in your project's root directory to begin installation:
epx add affaan-m/everything-claude-code --skill content-hash-cache-patternFetches content-hash-cache-pattern from affaan-m/everything-claude-code 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/content-hash-cache-pattern
Restart Cursor to activate content-hash-cache-pattern. Access via /content-hash-cache-patternin 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.
prompt-optimizer
affaan-m/everything-claude-code · Productivity · same repo
market-research
affaan-m/everything-claude-code · Productivity · same repo
nuxt4-patterns
affaan-m/everything-claude-code · Productivity · same repo
pytorch-patterns
affaan-m/everything-claude-code · Productivity · same repo
golang-patterns
affaan-m/everything-claude-code · Backend · same repo
e2e-testing
affaan-m/everything-claude-code · Testing · same repo
Solid pick for teams standardizing on skills: content-hash-cache-pattern is focused, and the summary matches what you get after install.
content-hash-cache-pattern reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in content-hash-cache-pattern — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
content-hash-cache-pattern is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Registry listing for content-hash-cache-pattern matched our evaluation — installs cleanly and behaves as described in the markdown.
We added content-hash-cache-pattern from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
content-hash-cache-pattern reduced setup friction for our internal harness; good balance of opinion and flexibility.
content-hash-cache-pattern is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Registry listing for content-hash-cache-pattern matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in content-hash-cache-pattern — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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