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fal-train

Train custom AI models (LoRA) on fal.ai for personalized image generation tailored to a brand, character, or style.

59

Quality

68%

Does it follow best practices?

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SecuritybySnyk

Passed

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tessl review fix ./skills/fal-train/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

72%

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

The skill body is concise and well-organized as a lightweight catalogue entry that points to an upstream bundle. Its weakness is actionability and workflow clarity: it does not provide a concrete, executable install path, instead redirecting the agent to inspect the upstream README.

Suggestions

Add a concrete, copy-paste install command for the upstream bundle rather than telling the agent to 'inspect the upstream README for exact paths'.

Specify the target skills directory path and the expected bundle layout so the install step is unambiguous.

Add a brief verification step (e.g., confirming the installed skill appears in the agent's skill list) before invoking it by name.

DimensionReasoningScore

Conciseness

The body is lean (~25 lines), assumes Claude's competence, and does not explain concepts Claude already knows; the only minor redundancy is the verbatim repeat of the description under 'What it does'.

3 / 3

Actionability

It gives a concrete pointer (`open https://github.com/fal-ai-community/skills`) and a high-level install instruction, but defers all real steps to 'inspect the upstream README for exact paths', leaving key details unspecified.

2 / 3

Workflow Clarity

A loose sequence is implied (inspect README, install upstream bundle, invoke by name), but the actual install step is ambiguous and there are no validation checkpoints.

2 / 3

Progressive Disclosure

This is a short single-purpose catalogue entry with well-organized sections (What it does, Source, How to use) and no need for bundled references, which scores 3 under the simple-skill guideline.

3 / 3

Total

10

/

12

Passed

Description

65%

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 clearly niche-scoped to LoRA training on fal.ai, with a reasonable set of trigger phrases. Its main weakness is the absence of explicit 'when to use' guidance, which limits completeness.

Suggestions

Add a 'Use when...' clause naming concrete triggering situations (e.g., 'Use when the user wants to fine-tune image generation for a brand, character, or visual style').

Add common natural variants like 'fine-tune', 'train image model', or 'customize fal.ai model' to the trigger terms.

Reorder the awkward 'fal train' trigger to a more natural phrasing such as 'train on fal.ai'.

DimensionReasoningScore

Specificity

It names a concrete domain (LoRA on fal.ai for personalized image generation) and a clear action (train custom models), but lists essentially one action rather than multiple specific concrete actions.

2 / 3

Completeness

It clearly answers 'what does this do' but lacks a 'Use when...' clause or equivalent explicit trigger guidance, which caps completeness at 2 per the rubric.

2 / 3

Trigger Term Quality

The frontmatter triggers include natural phrases like 'train lora', 'custom model', and 'brand lora', but 'fal train' is awkward ordering and common variants like 'fine-tune' are missing.

2.5 / 3

Distinctiveness Conflict Risk

The fal.ai + LoRA training niche is clearly scoped with distinct triggers, making it unlikely to fire for unrelated skills.

3 / 3

Total

9.5

/

12

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
nexu-io/open-design
Reviewed

Table of Contents

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