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Agent skill

Django Pagination Performance

by hashgraph-online in hashgraph-online/awesome-codex-plugins

Improve Django and Django REST Framework pagination for large querysets using bounded page sizes, stable ordering, indexed ordering, offset limits, keyset pagination, DRF CursorPagination, and…

MITAuto-check passedBackend & APIs

Install Django Pagination Performance

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill django-pagination-performance -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins django-pagination-performance --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/django-pagination-performance .claude/skills/django-pagination-performance && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
django-pagination-performance
GitHub stars
1.3k
Token cost
~591 tokens
SKILL.md length
232 words
Files
2 (incl. references)
Skills in repo
714
Repo updated
First seen
Licence
MIT

At a glance

Improve Django and Django REST Framework pagination for large querysets using bounded page sizes, stable ordering, indexed ordering, offset limits, keyset pagination, DRF CursorPagination, and…

  • Works in 4 steps: Confirm the list contract. → Measure the current query. → Choose the pagination style. → …
  • Infinite scroll become slow
  • SKILL.md covers Workflow, Safety Notes and Verification
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Django Pagination Performance is an agent skill from hashgraph-online/awesome-codex-plugins. Improve Django and Django REST Framework pagination for large querysets using bounded page sizes, stable ordering, indexed ordering, offset limits, keyset pagination, DRF CursorPagination, and count-query tradeoffs. Use when list pages, admin views, APIs, exports, or infinite scroll become slow, inconsistent, or memory-heavy as result sets grow.

Its SKILL.md is about 590 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/pagination-patterns.md`). Compatibility notes: Codex, Claude Code, and other Agent Skills-compatible clients.

It sits in Backend & APIs, covering Backend development. It works with Django. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is MIT.

When your agent uses it

  • Infinite scroll become slow
  • Memory-heavy as result sets grow

Example prompts

  • “/django-pagination-performance”

Requirements

  • Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients.

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Confirm the list contract.
  2. Measure the current query.
  3. Choose the pagination style.
  4. Make ordering deterministic.

What it can do on your machine

Read from SKILL.md and the folder at commit 9e7b281. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Codex, Claude Code, and other Agent Skills-compatible clients.

    From compatibility in the SKILL.md frontmatter.

Context cost

Django Pagination Performance loads about 591 tokens when it runs, and up to ~1.2k if it reads all its reference files. Until then it costs about 94 tokens; SKILL.md has 232 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~94
When it runs · the whole SKILL.md, loaded when a task matches
~591
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from hashgraph-online/awesome-codex-plugins at commit 9e7b281, republished under its MIT licence (© hashgraph-online). 232 words, ~591 tokens.

Download SKILL.mdSave it as .claude/skills/django-pagination-performance/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
django-pagination-performance
description
Improve Django and Django REST Framework pagination for large querysets using bounded page sizes, stable ordering, indexed ordering, offset limits, keyset pagination, DRF CursorPagination, and count-query tradeoffs. Use when list pages, admin views, APIs, exports, or infinite scroll become slow, inconsistent, or memory-heavy as result sets grow.
compatibility
Codex, Claude Code, and other Agent Skills-compatible clients.
license
MIT
metadata.version
0.1.0
metadata.displayName
Django Pagination Performance
metadata.category
Django
metadata.tags
django,pagination,performance,querysets,drf

Django Pagination Performance

Use this skill when a Django list view or API slows down as pages get deeper or result sets grow. Pagination is a query-design problem as much as a response-shaping problem.

Workflow

  1. Confirm the list contract.

    • Is arbitrary page access required, or only next/previous?
    • Does the UI need a total count?
    • Can ordering be fixed and stable?
    • What page size limit is acceptable?

  2. Measure the current query.

    • Capture SQL for the page query and count query.
    • Check ordering, indexes, and high page numbers.
    • Use QuerySet.explain() for deep pages.

  3. Choose the pagination style.

    • Use Django Paginator for moderate result sets and arbitrary page access.
    • Use capped offset pagination when page numbers are useful but deep pages should be limited.
    • Use keyset/cursor pagination for large feeds, timelines, logs, and infinite scroll.
    • Use DRF CursorPagination for API next/previous navigation with stable ordering.

  4. Make ordering deterministic.

    • Use a unique or nearly unique immutable ordering field.
    • Add a primary-key tie breaker when needed.
    • Ensure the index matches filters plus ordering.

See pagination-patterns.md for Django and DRF examples.

Safety Notes

  • Deep LIMIT/OFFSET pages can be slow because the database still walks skipped rows.
  • Unordered querysets produce inconsistent pages.
  • Cursor pagination restricts arbitrary page jumps and user-controlled ordering.
  • Large exact counts can dominate list latency.

Verification

Measure first page, representative deep page, count query, and insertion/deletion consistency for the chosen pagination contract.

© hashgraph-online, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in plugins/LVTD-LLC/skills/skills/django-pagination-performance of hashgraph-online/awesome-codex-plugins.

  • SKILL.md
  • references/pagination-patterns.md

Open the folder on GitHubat commit 9e7b281

Compare with similar skills

Django Pagination Performance next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Django Pagination Performance compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Django Pagination Performance this skillhashgraph-online/awesome-codex-plugins1.3k—~591Automated safety check: PassMIT
Saleor Django Schema Migrationsaleor/saleor23k—~1kAutomated safety check: PassBSD-3-Clause
Django Access Reviewgetsentry/skills1k3 repos~2.6kAutomated safety check: NotesApache-2.0
Silk Profilerbaserow/baserow6.1k—~2.9kAutomated safety check: PassCustom licence
Arch Wikiahmedemad3/arch-wiki250—~5.1kAutomated safety check: PassNone
Run Testsnetboxlabs/netbox-branching155—~1.2kAutomated safety check: PassCustom licence

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Works with

Categories

Questions about Django Pagination Performance

What does Django Pagination Performance do?

Improve Django and Django REST Framework pagination for large querysets using bounded page sizes, stable ordering, indexed ordering, offset limits, keyset pagination, DRF CursorPagination, and…. Django Pagination Performance is an agent skill from hashgraph-online/awesome-codex-plugins. Improve Django and Django REST Framework pagination for large querysets using bounded page sizes, stable ordering, indexed ordering, offset limits, keyset pagination, DRF CursorPagination, and count-query tradeoffs.

When should I use Django Pagination Performance?

Django Pagination Performance fits situations like: infinite scroll become slow; memory-heavy as result sets grow.

How do I install Django Pagination Performance in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill django-pagination-performance -a claude-code`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/django-pagination-performance in hashgraph-online/awesome-codex-plugins) into .claude/skills/django-pagination-performance in your project. Claude Code loads it when a task matches its description.

How do I install Django Pagination Performance in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill django-pagination-performance -a codex`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/django-pagination-performance in hashgraph-online/awesome-codex-plugins) into .agents/skills/django-pagination-performance in your project. Codex loads it when a task matches its description.

Can I use Django Pagination Performance in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hashgraph-online/awesome-codex-plugins --skill django-pagination-performance -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/django-pagination-performance, .gemini/skills/django-pagination-performance, .github/skills/django-pagination-performance and .opencode/skills/django-pagination-performance in your project.

What does Django Pagination Performance need to run?

SKILL.md names no scripts, command-line tools or credentials: Django Pagination Performance is instructions for the agent only. Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients..

Does Django Pagination Performance access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Django Pagination Performance safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Django Pagination Performance use?

Django Pagination Performance is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Django Pagination Performance use?

About 591 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 561 tokens, read only when the agent opens those files.

What are the alternatives to Django Pagination Performance?

Skills that share tags, products or a category with Django Pagination Performance: Saleor Django Schema Migration (saleor/saleor, 23k stars), Django Access Review (getsentry/skills, 1k stars), Silk Profiler (baserow/baserow, 6.1k stars) and Arch Wiki (ahmedemad3/arch-wiki, 250 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Django Pagination Performance?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,255 GitHub stars. The repository holds 714 skills in this directory. The repository was last updated on October 9, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.