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Deep analysis of one function across five layers v1.0.0

Use this resource to understand in depth how a function works before debugging it

New

  • 468 downloads
  • 137 likes
  • 193 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install function-deep-analysis

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent locates the function, runs the five analysis layers in turn and presents a report per layer. You get a detailed understanding of the function, useful for debugging or changing complex code.

Mostly picked by

Updated November 2, 2026

Card for the “Deep analysis of one function across five layers” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: walkthrough of the five layers, from structure to slice
  • SKILL.md: analysis report template per layer

Good fit for

  • A complex function produces a bug and you can't follow its logic
  • You must take over an inherited function before changing it

Not for

    Tags

    • function analysis
    • debugging
    • data flow
    • call graph

    About

    You say

    “/tldr-deep calculate_discount, to understand why it returns zero.”

    Card for the “Deep analysis of one function across five layers” skill

    Skill published by parcadei under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to understand in depth how a function works before debugging it
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md2.8 KB

    Origin and licence

    Listed unmodified

    Author
    parcadei
    Source
    github.com/parcadei/continuous-claude-v3/tree/d07ff4b06b62f43771bc0c927d0211b734d6149e/.claude/skills/tldr-deep
    Licence
    MIT

    Notice

    « tldr-deep » (parcadei, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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