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SKILL verified MIT Self-run

Extract Insights

skill-fredoliveira-agents-extract-insights · by fredoliveira

Extract actionable lessons, key insights, emergent todos, and best practices from a note (e.g. a video transcript or article in an Obsidian vault, for example). Use when asked to "extract insights / lessons / takeaways" from a note or document. Outputs bullet lists in chat, or writes them to a markdown file if asked.

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Install

$ agentstack add skill-fredoliveira-agents-extract-insights

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Extract insights from a note

Purpose

Read one note (transcript, article, clipping, meeting notes — anything) and pull out what's worth keeping, as bullet lists under four headings:

  • Actionable lessons — things to do differently, stated as guidance.
  • Key insights — the non-obvious ideas worth remembering.
  • Todos — concrete next actions that emerge for the reader/user.
  • Best practices — repeatable rules or standards worth adopting.

Instructions

  1. Read the note in full. Take the path the user gave (default to the file

they @-referenced or the active note). Page through long files — don't extract from a partial read.

  1. Extract. For each of the four headings, write a bullet list. Rules:
  • Omit a heading entirely if the note genuinely has nothing for it. Don't pad.
  • One idea per bullet, declarative and self-contained (readable without the

source open).

  • No fixed count necessary. Capture what's real, skip sponsor reads, filler, and

biography.

  • Quote a memorable line only when it earns its place.
  1. Output — composable, decided by how you were asked:
  • Default (no output file mentioned): print the bullet lists directly in

the chat. Nothing is written to disk.

  • If the user asks for a markdown file (e.g. "save it", "create a note",

or gives a path): write the lists to a .md file.

  • Title / filename: Insights from .md — keep it

consistent so these notes are easy to spot.

  • Location: if the user gave a path, use it. Otherwise default to an

Inbox/ folder at the vault root if one exists (so the user can triage it later), falling back to the source note's own folder.

  • Body: link back to the source note in the first line, then the lists.
  • Include light frontmatter:

```markdown --- source: "[[]]" created: tags:

  • insights

---

# Insights from

Extracted from [[]].

## Actionable lessons

  • ...

## Key insights

  • ...

``` (Drop empty sections here too.) Then tell the user the path you wrote.

Notes

  • Keep it minimal. The model already knows how to extract — this skill just fixes

the four buckets, the bar for inclusion, and the chat-vs-file output choice.

  • Adapt to the vault: if the user's notes use different tags or folders, match them.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.