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cloudflare-workers-expert

Expert in Cloudflare Workers and the Edge Computing ecosystem. Covers Wrangler, KV, D1, Durable Objects, and R2 storage.

57

Quality

66%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Passed

No findings from the security scan

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tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills/skills/cloudflare-workers-expert/SKILL.md

The canonical home for this skill is cloudflare-workers-expert in administrakt0r/AI-Agents-Safe-Coding-Skills

SKILL.md
Quality
Evals
Security

Quality

Content

68%Weight 40%Scale 1-5

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 with concrete, executable examples and tight best-practice guidance, but the Instructions read as a tip list rather than a sequenced deploy workflow with validation checkpoints. Adding an explicit develop-test-deploy-verify sequence would lift workflow clarity.

Suggestions

Convert the Instructions into a sequenced workflow with validation checkpoints (e.g., 1. configure wrangler.toml, 2. npx wrangler dev to test locally, 3. npx wrangler deploy, 4. npx wrangler tail to verify in production).

Trim the redundant product list in the persona line since it duplicates the frontmatter description.

Add a brief example showing how to define and read a D1 or R2 binding, since both are named but not demonstrated.

DimensionReasoningScore

Conciseness

Instructions and examples are lean and assume competence, with only minor redundancy — the persona line re-lists Wrangler/KV/D1 already named in the frontmatter description.

4 / 5

Actionability

Provides concrete, copy-paste-ready TypeScript/JS examples and specific commands (npx wrangler dev, env bindings, ctx.waitUntil()), with minor gaps such as no deploy command example.

4 / 5

Workflow Clarity

The numbered Instructions are discrete tips rather than a sequenced workflow, and there are no validation checkpoints for a deploy-oriented task (e.g., dev test -> deploy -> wrangler tail verify).

3 / 5

Progressive Disclosure

Single self-contained file with well-signaled sections (Use when, Instructions, Examples, Best Practices, Troubleshooting) and clear organization; no external references are needed so no nesting issues.

4 / 5

Total

15

/

20

Passed

Description

65%Weight 40%Scale 1-5

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 clearly scopes a niche and surfaces strong trigger terms, but it is capped by the absence of an explicit 'Use when' clause and by action verbs ('Expert in', 'Covers') that are vague rather than concrete. Adding trigger guidance and specific verbs would lift the two capped dimensions.

Suggestions

Add an explicit 'Use when...' clause listing concrete trigger phrases (e.g., 'Use when deploying serverless functions to Cloudflare's edge, or when the user mentions Workers, Wrangler, KV, D1, Durable Objects, or R2').

Replace generic verbs ('Expert in', 'Covers') with concrete actions (e.g., 'Deploys, configures, and debugs Cloudflare Workers and bindings').

DimensionReasoningScore

Specificity

Names the domain (Cloudflare Workers, Edge Computing) and lists concrete products (Wrangler, KV, D1, Durable Objects, R2), but the verbs 'Expert in' and 'Covers' are generic rather than describing concrete actions like deploy, build, or query.

3 / 5

Completeness

It states what the skill covers but has no 'Use when...' clause or equivalent explicit trigger guidance, which caps completeness at 3 per the rubric.

3 / 5

Trigger Term Quality

Includes natural terms a user would say ('Cloudflare Workers', 'Wrangler', 'KV', 'D1', 'Durable Objects', 'R2'), though it misses common synonyms like 'edge functions' or 'serverless'.

4 / 5

Distinctiveness Conflict Risk

The Cloudflare Workers/edge ecosystem is a clear, well-scoped niche with distinct product triggers and minimal overlap risk with unrelated skills.

5 / 5

Total

15

/

20

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
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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