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Agent skill

Django Spike Despike Workflow

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

Manage Django spikes and de-spiking with tests: branch experiments, exploratory code, learning capture, functional tests against spiked behavior, revert-and-rebuild, custom auth flows, email/token…

MITAuto-check passedBackend & APIs

Install Django Spike Despike Workflow

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill django-spike-despike-workflow -a claude-code

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

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins django-spike-despike-workflow --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-spike-despike-workflow .claude/skills/django-spike-despike-workflow && 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-spike-despike-workflow
GitHub stars
1.3k
Token cost
~801 tokens
SKILL.md length
358 words
Files
4 (incl. references)
Skills in repo
716
Repo updated
First seen
Licence
MIT

At a glance

Manage Django spikes and de-spiking with tests: branch experiments, exploratory code, learning capture, functional tests against spiked behavior, revert-and-rebuild, custom auth flows, email/token…

  • Works in 4 steps: Label the spike. → Write behavior from the spike. → Revert or quarantine the spike. → …
  • A Django feature was prototyped quickly and needs to be turned into production-quality tested code
  • SKILL.md covers Source Traceability, Workflow, Decision Rules and Guardrails, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Django Spike Despike Workflow is an agent skill from hashgraph-online/awesome-codex-plugins. Manage Django spikes and de-spiking with tests: branch experiments, exploratory code, learning capture, functional tests against spiked behavior, revert-and-rebuild, custom auth flows, email/token models, and dependency seams. Use when a Django feature was prototyped quickly and needs to be turned into production-quality tested code.

Its SKILL.md is about 800 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `agents/openai.yaml`, `evals/evals.json` and `references/spike-despike-patterns.md`). Compatibility notes: Codex, Claude Code, and other Agent Skills-compatible clients.

It sits in Backend & APIs, covering Backend development and Authentication. 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

  • A Django feature was prototyped quickly and needs to be turned into production-quality tested code
  • Tasks that involve Backend development
  • Tasks that involve Authentication

Example prompts

  • “/django-spike-despike-workflow”

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. Label the spike.
  2. Write behavior from the spike.
  3. Revert or quarantine the spike.
  4. Introduce seams deliberately.

What it can do on your machine

Read from SKILL.md and the folder at commit 3e1456a. 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 Spike Despike Workflow loads about 801 tokens when it runs, and up to ~1.2k if it reads all its reference files. Until then it costs about 91 tokens; SKILL.md has 358 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~91
When it runs · the whole SKILL.md, loaded when a task matches
~801
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 3e1456a, republished under its MIT licence (© hashgraph-online). 358 words, ~801 tokens.

Download SKILL.mdSave it as .claude/skills/django-spike-despike-workflow/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
django-spike-despike-workflow
description
Manage Django spikes and de-spiking with tests: branch experiments, exploratory code, learning capture, functional tests against spiked behavior, revert-and-rebuild, custom auth flows, email/token models, and dependency seams. Use when a Django feature was prototyped quickly and needs to be turned into production-quality tested code.
compatibility
Codex, Claude Code, and other Agent Skills-compatible clients.
license
MIT
metadata.version
0.1.0
metadata.displayName
Django Spike De-Spike Workflow
metadata.category
Django
metadata.tags
django,tdd,spikes,auth,testing

Django Spike De-Spike Workflow

Use this skill when exploratory Django code has answered a question but is not yet fit to keep. Preserve the learning, throw away accidental design, and rebuild the feature with tests that express the real behavior.

Source Traceability

Primary source: Harry Percival, Test-Driven Development with Python, 3rd ed. Guidance is transformed and paraphrased from chapters 19 and 20, especially passwordless authentication, branch-based spikes, de-spiking, custom user/token models, email flow tests, and introducing mocks only at external boundaries.

Workflow

  1. Label the spike.

    • Identify what question it answered.
    • Separate facts learned from code to keep.
    • Save notes, screenshots, shell commands, or minimal examples if they matter.

  2. Write behavior from the spike.

    • Convert the useful behavior into a functional or integration test.
    • Keep the test user-facing when the spike proved a workflow.
    • Add lower-level tests for token models, forms, views, or email boundaries.

  3. Revert or quarantine the spike.

    • Revert the exploratory branch or isolate it from production code.
    • Rebuild in small red/green/refactor steps.
    • Keep commits narrow enough to review.

  4. Introduce seams deliberately.

    • Use fakes or mocks only for external email/service boundaries.
    • Keep Django auth and model behavior real unless the test boundary says otherwise.

Read spike-despike-patterns.md for branch discipline, auth-flow slicing, and de-spiking checklists.

Show full SKILL.md (149 more words)Show less

Decision Rules

  • If the spike is mostly UI flow, start de-spiking from a functional test.
  • If the spike proved a model or token rule, write model tests before rebuilding views.
  • If the spike touched email, test the message boundary without hitting real email services.
  • If the spike changed authentication models, keep migration and compatibility risks explicit.
  • If the spike's code is messy but behavior is right, prefer rebuild over incremental cleanup.

Guardrails

  • Do not merge spike code just because it works once.
  • Do not preserve hardcoded secrets, magic tokens, or one-off settings from the spike.
  • Do not mock away Django authentication behavior when auth integration is the point.
  • Do not lose the learning when reverting the code.

Verification

Before finishing, report:

  • Spike question and learning.
  • Tests that capture intended behavior.
  • What spike code was reverted, discarded, or rebuilt.
  • External boundaries mocked or faked.
  • Focused Django test command and result.

© 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 3 other files (references) in plugins/LVTD-LLC/skills/skills/django-spike-despike-workflow of hashgraph-online/awesome-codex-plugins.

  • SKILL.md
  • agents/openai.yaml
  • evals/evals.json
  • references/spike-despike-patterns.md

Open the folder on GitHubat commit 3e1456a

Compare with similar skills

Django Spike Despike Workflow 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 Spike Despike Workflow compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Django Spike Despike Workflow this skillhashgraph-online/awesome-codex-plugins1.3k—~801Automated safety check: PassMIT
Django ExpertJeffallan/claude-skills12k—~1.5kAutomated safety check: PassMIT
Django Securityaffaan-m/ECC276k1 repos~4.3kAutomated safety check: NotesMIT
Django Securityxu-xiang/everything-claude-code-zh2k—~3.5kAutomated safety check: NotesMIT
Fullstack Devinfometa/workbuddyskills348—~1kAutomated safety check: PassMIT
Fortify Developmentcoollabsio/coolify63k4 repos~1.9kAutomated safety check: PassMIT

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Works with

Categories

Questions about Django Spike Despike Workflow

What does Django Spike Despike Workflow do?

Manage Django spikes and de-spiking with tests: branch experiments, exploratory code, learning capture, functional tests against spiked behavior, revert-and-rebuild, custom auth flows, email/token…. Django Spike Despike Workflow is an agent skill from hashgraph-online/awesome-codex-plugins. Manage Django spikes and de-spiking with tests: branch experiments, exploratory code, learning capture, functional tests against spiked behavior, revert-and-rebuild, custom auth flows, email/token models, and dependency seams.

When should I use Django Spike Despike Workflow?

Django Spike Despike Workflow fits situations like: A Django feature was prototyped quickly and needs to be turned into production-quality tested code; tasks that involve Backend development; tasks that involve Authentication.

How do I install Django Spike Despike Workflow in Claude Code?

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

How do I install Django Spike Despike Workflow in Codex?

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

Can I use Django Spike Despike Workflow 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-spike-despike-workflow -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-spike-despike-workflow, .gemini/skills/django-spike-despike-workflow, .github/skills/django-spike-despike-workflow and .opencode/skills/django-spike-despike-workflow in your project.

What does Django Spike Despike Workflow need to run?

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

Does Django Spike Despike Workflow 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 Spike Despike Workflow 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 Spike Despike Workflow use?

Django Spike Despike Workflow 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 Spike Despike Workflow use?

About 801 tokens (SKILL.md is roughly 3.2k 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 444 tokens, read only when the agent opens those files.

What are the alternatives to Django Spike Despike Workflow?

Skills that share tags, products or a category with Django Spike Despike Workflow: Django Expert (Jeffallan/claude-skills, 12k stars), Django Security (affaan-m/ECC, 276k stars), Django Security (xu-xiang/everything-claude-code-zh, 2k stars) and Fullstack Dev (infometa/workbuddyskills, 348 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Django Spike Despike Workflow?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,267 GitHub stars. The repository holds 716 skills in this directory. The repository was last updated on October 10, 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.