If you’ve ever manually curated AI news daily and then manually published a daily report, you’ll quickly encounter two problems: first, repetitive labor; second, inconsistent quality. Through development practice at WindFlash.us, I gradually abstracted the task of "generating daily reports" into a reusable skill package ( windflash-daily-report ), elevating the daily report from a scripted task to a standardized delivery capability.

This article details what this skill can do, how it was created and continuously improved, and its potential future directions. You can visit the link below to see the daily report generated by this skill: daily-report

What exactly can this skill do?

windflash-daily-report is an end-to-end skill for producing and publishing daily reports. It transforms scattered RSS content into structured daily report pages while ensuring content quality meets publishing standards. Core capabilities include:

• Automatically generating daily report pages: Outputting data.ts and page.tsx files to personal-website/src/app/daily-report/YYYY-MM-DD/.
• Content quality gate: Verifies whether evidence citations match verbatim in summaries, filtering out low-quality content.
• Repeatable publishing workflow: Generate → lint/build → commit → push → Vercel auto-deployment.
• Clear troubleshooting path: Actionable remediation strategies exist when qualifying entries are insufficient, evidence references fail, or RSS anomalies occur.

In a nutshell: It transforms "daily report delivery" into a standardized, reusable, and diagnosable workflow.

How did it come about?

The starting point was simple—we initially wrote a generation script to chain RSS scraping, content analysis, and page generation. But as data volume and publishing frequency increased, issues emerged:

1. Content quality fluctuations: AI summaries and evidence citations occasionally misaligned.
2. Difficult failure troubleshooting: When generation failed, we could only "manually guess the cause."
3. Time zone discrepancies: Daily report dates sometimes shifted by a day.
4. Publishing process errors: Forgetting lint/build steps or pushing to the wrong branch.

So we took three steps to formalize the process:

• Process Standardization: Codified daily essential steps into a standardized checklist.
• Quality Constraints: Implemented a hard gate requiring "exact word-for-word matching of citation references."
• Diagnostic system: Directly output top failure causes and top sources to avoid blind troubleshooting.

Evolving from a script to a skill package fundamentally transforms it from a "tool" into an "executable process."

What key improvements did we make?

Recent optimization cycles have transformed the skill from "usable" to "reliable":

1) Environment variable self-checking Clearly distinguish between "required/optional" environment variables to prevent discovering missing GEMINI_API_KEY mid-generation.

2) Quality acceptance checklist Beyond the "minimum 10 pieces of content" requirement, we now mandate:

• Verifiable evidence citations for each piece
• Non-empty titles/abstracts
• Reasonable coverage of core categories

3) Failure recovery strategy When qualifying entries are insufficient, prioritize expanding the candidate pool or adjusting REPORT_POLICY instead of directly lowering quality thresholds.

4) Pre-release Preview Recommended workflow: Run npm run dev first, then preview at /daily-report/YYYY-MM-DD to avoid discovering formatting issues after deployment.

Future Development Paths?

This feature currently focuses on "stable generation + rapid deployment," but holds significant potential:

• More granular quality scoring: Beyond evidence citations, evaluate summary information density and value contribution.
• Automatic rollback strategy: If daily generation fails, automatically revert to the previous day’s report or generate a temporary placeholder page.
• Multi-platform publishing: Beyond Vercel, synchronize to Ghost/DEV/WeChat Official Accounts and other channels.
• Enhanced source governance: Automatically flag RSS feeds with high failure rates, recommending replacement or reduced weighting.
• Content diversification: Split daily reports into "Brief Edition + In-Depth Edition" to enhance reading experience.

Final recommendation

If you also face the challenge of "daily content production," I strongly recommend upgrading "scripts" to "skills." You’ll discover:

• More stable workflow: Less reliant on human memory and habits
• Higher quality: Rigid thresholds and visual feedback ensure consistency
• Faster Iteration: Every improvement becomes reusable across all future daily reports

For me, windflash-daily-report isn’t just a "set of commands"—it’s a process asset that consistently delivers results.

If you have ideas about this skill, feel free to share them. I hope you can also transform repetitive tasks into reusable capabilities within your own projects.

This skill will soon be released as an open-source project—stay tuned.