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appfactory-builder

Build and deploy production apps using AppFactory's 7 pipelines (websites, mobile, dApps, AI agents, plugins, mini apps, bots). One prompt → live URL.

53

Quality

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Advisory

Suggest reviewing before use

SKILL.md
Quality
Evals
Security

Quality

Content

50%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is well structured and gives a genuinely executable website path, but most other pipelines defer to external docs, the workflow lacks validation checkpoints, and the file is monolithic with promotional filler. Tightening and splitting detail into reference files would raise several dimensions.

Suggestions

Add explicit validation checkpoints to the build/deploy workflow (e.g. run build, confirm local run passes via LOCAL_RUN_PROOF_GATE, then deploy), with a fix-and-retry loop.

Move pipeline-specific detail (design system, contributing guide, architecture) into separate reference files linked one level deep from a leaner SKILL.md.

Remove promotional content (token launchpad, social handles, $FACTORY link) that does not help Claude execute the skill.

DimensionReasoningScore

Conciseness

Most of the body is efficient reference material, but it carries promotional padding (the $FACTORY token link, social handles, 'Bloomberg terminal meets Apple hardware') that does not earn its tokens.

2 / 3

Actionability

The website quick-start is copy-paste ready (full create-next-app flags, build, vercel deploy), but the mobile/dApp/agent pipelines only defer to external CLAUDE.md files with no executable guidance here.

2 / 3

Workflow Clarity

Quick-start steps are clearly sequenced (clone → build → deploy), but there are no explicit validation checkpoints or feedback loops in the build/deploy workflow.

2 / 3

Progressive Disclosure

The skill is a single ~250-line file with no references/scripts/assets bundle; pipeline details, design system, and architecture that could be split into separate files remain inline, though sections are well organized.

2 / 3

Total

8

/

12

Passed

Description

67%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is specific and distinctive, naming concrete actions and a clearly bounded tool niche, but it omits an explicit 'Use when...' trigger and relies on some domain jargon. Adding a use-when clause would lift completeness and trigger-term quality.

Suggestions

Append an explicit trigger clause, e.g. 'Use when the user wants to build or deploy a web, mobile, dApp, AI agent, plugin, mini app, or bot from a single prompt.'

Soften jargon (e.g. expand 'dApps' / 'mini apps') so the natural-language terms a user would say are present.

Keep the concise 'One prompt → live URL' framing but tie it to the use-when trigger rather than leaving it as a tagline.

DimensionReasoningScore

Specificity

Lists concrete actions ("Build and deploy production apps") plus an enumerated set of seven specific pipeline types (websites, mobile, dApps, AI agents, plugins, mini apps, bots), matching the 'multiple specific concrete actions' anchor.

3 / 3

Completeness

It clearly states what the skill does but provides no explicit 'when to use' trigger; per the guideline, a missing 'Use when...' clause caps completeness at 2.

2 / 3

Trigger Term Quality

App-type keywords are present but lean on jargon (dApps, Base Mini Apps, OpenClaw Bots) and omit the natural 'Use when...' phrasing, so coverage of terms a user would naturally say is partial.

2 / 3

Distinctiveness Conflict Risk

Naming a specific tool (AppFactory) and its seven pipelines carves out a clear niche with distinct triggers, making conflict with other skills unlikely.

3 / 3

Total

10

/

12

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
NeverSight/skills_feed
Reviewed

Table of Contents

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