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Optimize Python 3.11+ code v1.0.0

Use this resource to optimize the performance of Python 3.11 or newer code

New

  • 539 downloads
  • 151 likes
  • 207 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install python-311-performance

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 applies 42 rules ranked by impact: async I/O, data structure choice, concurrency and memory management. You get Python code that handles I/O, collections and memory more efficiently.

Mostly picked by

Updated November 2, 2026

Card for the “Optimize Python 3.11+ code” skill

Details

Generates with
Your agent's model
Licence
MIT

Similar resources

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What you get

  • AGENTS.md: rules by category, from async I/O to idioms
  • references/ds-dict-for-lookup.md: dictionaries for lookups; references/conc-taskgroup.md: TaskGroup

Good fit for

  • Your script handles large volumes of data slowly
  • Your async code waits for network calls one after another

Not for

    Tags

    • python
    • performance
    • asyncio
    • data structures

    About

    You say

    “Speed up this script that processes multi-gigabyte CSV files.”

    Card for the “Optimize Python 3.11+ code” skill

    Skill published by pproenca 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 optimize the performance of Python 3.11 or newer code
    3. Review and adjust the result

    Content preview

    Files

    • AGENTS.md0.2 KB
    • assets/templates/_template.md1.1 KB
    • LICENSE1.1 KB
    • metadata.json1.3 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/_sections.md1.8 KB
    • references/conc-asyncio-for-io.md1.5 KB
    • references/conc-multiprocessing-cpu.md1.8 KB
    • references/conc-queue-communication.md1.7 KB
    • references/conc-taskgroup.md1.7 KB
    • references/conc-threadpool-blocking.md1.7 KB
    • references/ds-bisect-sorted.md1.4 KB
    • references/ds-defaultdict.md1.5 KB
    • references/ds-deque-for-queue.md1.3 KB
    • references/ds-dict-for-lookup.md1.3 KB
    • references/ds-frozenset-for-hashable.md1.5 KB
    • references/ds-set-for-membership.md1.4 KB
    • references/func-keyword-only.md1.5 KB
    • references/func-lru-cache.md1.7 KB
    • references/func-partial.md1.7 KB
    • references/func-reduce-calls.md1.4 KB
    • references/io-aiofiles.md1.6 KB
    • references/io-async-gather.md1.5 KB
    • references/io-connection-pooling.md1.8 KB
    • references/io-defer-await.md1.6 KB
    • references/io-semaphore.md1.9 KB
    • references/io-uvloop.md1.3 KB
    • references/loop-any-all.md1.4 KB
    • references/loop-comprehension.md1.4 KB
    • references/loop-dict-items.md1.3 KB
    • references/loop-enumerate.md1.4 KB
    • references/loop-hoist-invariants.md1.7 KB
    • references/loop-itertools.md1.5 KB
    • references/mem-array-for-numeric.md1.4 KB
    • references/mem-generators.md1.6 KB
    • references/mem-intern-strings.md1.7 KB
    • references/mem-slots.md1.4 KB
    • references/mem-weak-references.md1.7 KB
    • references/py-dataclass.md1.6 KB
    • references/py-lazy-import.md1.7 KB
    • references/py-local-variables.md1.5 KB
    • references/py-match-statement.md2 KB
    • references/py-walrus-operator.md1.4 KB
    • references/py-zero-cost-exceptions.md1.6 KB
    • references/str-fstring.md1.3 KB
    • references/str-join-concatenation.md1.3 KB
    • references/str-startswith-tuple.md1.2 KB
    • references/str-translate.md1.6 KB
    • SKILL.md8.3 KB

    Origin and licence

    Listed unmodified

    Author
    pproenca
    Source
    github.com/pproenca/dot-skills/tree/cf93c57cac89d6fc3e4194686000411567f5caf3/skills/.curated/python
    Licence
    MIT

    Notice

    « python » (pproenca, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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