Daily distiller

Skill allanbian1017/skills/skills/personal/daily-distiller

Skills for automate workflows, assist in daily tasks, and enhance overall productivity.

Install

npx -y skills add allanbian1017/skills --skill daily-distiller

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Reviews today's reports in ./reports/ and generates a synthesized Knowledge Distillation document in reports/distillations/. Use this skill whenever the user asks to "summarize today's reports", "distill today's knowledge", "run daily distillation", or "update the knowledge distillation document". It ensures technical insights about AI Agents and Context Engineering are preserved and systematized.

SKILL.md

3.1 KB, as published. Nobody here has run it

Daily Distiller

This skill automates reviewing today's intelligence reports and synthesizing them into a high-quality Knowledge Distillation document — capturing what's technically significant, how concepts connect, and what actions follow.

Workflow

Step 1: Discover Today's Reports

Find all .md files created today in the ./reports/ directory, excluding reports/distillations/. Use today's local date.

find reports -not -path "reports/distillations/*" -type f -name "*.md" -newermt "YYYY-MM-DD" ! -newermt "YYYY-MM-DD+1"

If no reports are found, notify the user and stop.

Step 2: Read All Reports

Read every report file in full. Note:

Source / Author: newsletter name, Threads handle, etc.
Key technical insights: Especially those about AI Agents, Context Engineering, Workflow Optimization, and System Architecture.
Cross-cutting themes: Patterns that appear across multiple sources deserve to become a Pillar.

Step 3: Load the Output Template

Read assets/output_template.md — it contains the file output rules (path, filename format), document structure guide, and the full markdown template to follow.

Step 4: Synthesize

Check data/user_preferences.md for the Preferred Output Language configuration, and produce the distillation document in that language (defaulting to English if not configured). Follow the template structure:

Executive Summary — Overarching narrative. What is the "big picture theme" of today?
Major Pillars (2–4 sections) — Group insights into coherent technical themes (not one per source). Name each section for the concept, not the source.
The Synthesis — Explain how the pillars relate to each other as a system, not just a list.
Strategic Takeaway — One actionable, philosophical call-to-action grounded in the day's data.

Quality bar: Avoid one-to-one report-to-section mapping. The goal is to reframe raw inputs into a unified technical narrative. The most valuable distillations surface connections that weren't obvious in the individual reports.

Step 5: Save Output

Follow the file output rules in assets/output_template.md:

reports/distillations/Knowledge_Distillation_YYYY_MM_DD.md

Use today's local date in the filename.

Principles (from docs/workflow/synthesis.md)

System over Model: Prioritize insights that improve the system (context, workflows, rules), not just the model output.
Explicit vs. Implicit: Actively identify "Explicit Knowledge" that can be codified into AI Skills vs. "Implicit Knowledge" that remains a human edge.
Compounding Experience: High-quality outputs become templates. Treat this document as a long-term asset.