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Agent skill

Detail Flow

by AJbeckliy in AJbeckliy/detail-flow

Build, redesign, polish, or review product detail pages for products, AI tools, models, SaaS features, developer products, plugins, ecommerce listings, and technical showcases.

No licenceAuto-check passedSales & Support

Install Detail Flow

skills CLI
$ npx skills add AJbeckliy/detail-flow --skill detail-flow -a claude-code

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

GitHub CLI
$ gh skill install AJbeckliy/detail-flow detail-flow --agent claude-code

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

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

Facts

Skill name
detail-flow
GitHub stars
214
Token cost
~5.8k tokens
SKILL.md length
3,132 words
Files
4 (incl. references)
Skills in repo
1
Repo updated
First seen
Licence
None found

At a glance

Build, redesign, polish, or review product detail pages for products, AI tools, models, SaaS features, developer products, plugins, ecommerce listings, and technical showcases.

  • Works in 6 steps: Clarify the product surface → Shape the page architecture → Match the existing project → …
  • The user provides a product image
  • SKILL.md covers Overview, Execution Contract, Core Workflow and Image Generation Workflow, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Detail Flow is an agent skill from AJbeckliy/detail-flow. Build, redesign, polish, or review product detail pages for products, AI tools, models, SaaS features, developer products, plugins, ecommerce listings, and technical showcases. Use when the user provides a product image, reference image, screenshot, product concept, or existing page and asks for a detail page, ecommerce detail page, 8-screen product page, long-form sales page, model page, product feature page, visual polish, responsive frontend implementation, screenshot-based QA, or reusable workflow derived…

Its SKILL.md is about 5.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `README.md`, `agents/openai.yaml` and `references/detail-page-patterns.md`).

It sits in Sales & Support, covering E-commerce operations and CI/CD. The repository describes itself as: A reusable Codex skill for planning, generating, auditing, and delivering ecommerce product detail pages.

When your agent uses it

  • The user provides a product image
  • Reference image
  • Product concept
  • Existing page and asks for a detail page

Example prompts

  • “/detail-flow”

Requirements

  • Python 3

Workflow steps

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

  1. Clarify the product surface
  2. Shape the page architecture
  3. Match the existing project
  4. Design for product comprehension
  5. Implement the page
  6. Verify with real rendering

What it can do on your machine

Read from SKILL.md and the folder at commit f2cabf2. 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.

Context cost

Detail Flow loads about 5.8k tokens when it runs, and up to ~11k if it reads all its reference files. Until then it costs about 141 tokens; SKILL.md has 3,132 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~141
When it runs · the whole SKILL.md, loaded when a task matches
~5.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~11k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 3,132 words (~5,831 tokens).

“Use this skill to turn a product or feature idea into a useful, polished detail page. Prioritize clear product communication, real user workflows, implementation quality, responsive behavior, and visual assets that reveal the product rather than decorative filler. Keep the…”

— opening of SKILL.md by AJbeckliy
name
detail-flow

Read the full SKILL.md on GitHub

Files

SKILL.md and 3 other files (references) in the repository root of AJbeckliy/detail-flow.

  • SKILL.md
  • README.md
  • agents/openai.yaml
  • references/detail-page-patterns.md

Open the folder on GitHubat commit f2cabf2

Compare with similar skills

Detail Flow 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.

Detail Flow compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Detail Flow this skillAJbeckliy/detail-flow214—~5.8kAutomated safety check: PassNone
Product Videopexoai/pexo-skills804—~1.3kAutomated safety check: PassMIT
Ecommerce Product Montage0xsline/OpenChatCut2.2k—~1.1kAutomated safety check: PassAGPL-3.0
Product Reel Generatorgooseworks-ai/goose-skills1.2k1 repos~2.3kAutomated safety check: NotesMIT
Dynamic Pricing Ecommercenexscope-ai/eCommerce-Skills1.1k—~3.2kAutomated safety check: PassMIT
Crazy Ecommerce Builderbuildfastwithai/gen-ai-experiments785—~1.7kAutomated safety check: PassMIT

Similar skills

  • Product Video

    pexoai/pexo-skills

    Turn product photos or a store URL into a polished product video with Pexo.

    804 GitHub stars~1.3k tokensUpdated 1 mo ago
    Sales & SupportAuto-check passed

  • Ecommerce Product Montage

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    Assemble product footage, UGC, and b-roll into a conversion-oriented montage with a hook → pain → demo → proof → CTA rhythm.

    2.2k GitHub stars~1.1k tokensUpdated 4 days ago
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  • Product Reel Generator

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    Generates Instagram-ready product reels from any e-commerce product page URL.

    1.2k GitHub starsUsed in 1 repo~2.3k tokens
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  • Dynamic Pricing Ecommerce

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    Design a controlled dynamic-pricing or repricing system for ecommerce products.

    1.1k GitHub stars~3.2k tokensUpdated 1 mo ago
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  • Crazy Ecommerce Builder

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  • Product Image Generator

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Categories

Questions about Detail Flow

What does Detail Flow do?

Build, redesign, polish, or review product detail pages for products, AI tools, models, SaaS features, developer products, plugins, ecommerce listings, and technical showcases. Detail Flow is an agent skill from AJbeckliy/detail-flow. Build, redesign, polish, or review product detail pages for products, AI tools, models, SaaS features, developer products, plugins, ecommerce listings, and technical showcases.

When should I use Detail Flow?

Detail Flow fits situations like: the user provides a product image; reference image; product concept; existing page and asks for a detail page.

How do I install Detail Flow in Claude Code?

Run `npx skills add AJbeckliy/detail-flow --skill detail-flow -a claude-code`. Or copy the skill folder (the AJbeckliy/detail-flow repository) into .claude/skills/detail-flow in your project. Claude Code loads it when a task matches its description.

How do I install Detail Flow in Codex?

Run `npx skills add AJbeckliy/detail-flow --skill detail-flow -a codex`. Or copy the skill folder (the AJbeckliy/detail-flow repository) into .agents/skills/detail-flow in your project. Codex loads it when a task matches its description.

Can I use Detail Flow 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 AJbeckliy/detail-flow --skill detail-flow -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/detail-flow, .gemini/skills/detail-flow, .github/skills/detail-flow and .opencode/skills/detail-flow in your project.

What does Detail Flow need to run?

SKILL.md names no scripts, command-line tools or credentials: Detail Flow is instructions for the agent only. Our summary lists: Python 3.

Does Detail Flow 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 Detail Flow 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 Detail Flow use?

No licence was found for Detail Flow or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Detail Flow use?

About 5.8k tokens (SKILL.md is roughly 23k 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 5.2k tokens, read only when the agent opens those files.

What are the alternatives to Detail Flow?

Skills that share tags, products or a category with Detail Flow: Product Video (pexoai/pexo-skills, 804 stars), Ecommerce Product Montage (0xsline/OpenChatCut, 2.2k stars), Product Reel Generator (gooseworks-ai/goose-skills, 1.2k stars) and Dynamic Pricing Ecommerce (nexscope-ai/eCommerce-Skills, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Detail Flow?

AJbeckliy (a GitHub user) maintains it in AJbeckliy/detail-flow, which has 214 GitHub stars. The repository was last updated on June 11, 2026.

Source: AJbeckliy/detail-flow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.