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Token-efficient code analysis in five layers v1.0.0

Use this resource to analyze the structure, calls and flows of code without rereading every file in full

New

  • 484 downloads
  • 120 likes
  • 205 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install token-efficient-code-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 skill provides commands to navigate, search and analyze a file or a function, from the file tree down to data flow. You get structured answers about the code, with less raw content read, which the skill claims saves 95%.

Mostly picked by

Updated November 2, 2026

Card for the “Token-efficient code analysis in five layers” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: reference of navigation and analysis commands
  • rules.md: usage rules for code analysis
  • SKILL.md: five-layer stack, from AST to PDG

Good fit for

  • You explore a large codebase and the context fills up too fast
  • You want to know who calls a function before changing it

Not for

    Tags

    • code analysis
    • call graph
    • tokens
    • navigation

    About

    You say

    “Who calls the calculate_tax function, and what does its call graph look like?”

    Card for the “Token-efficient code analysis in 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 analyze the structure, calls and flows of code without rereading every file in full
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • rules.md1.1 KB
    • SKILL.md11 KB

    Origin and licence

    Listed unmodified

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

    Notice

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

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