cloudflare-python-workers
Build Python APIs on Cloudflare Workers using pywrangler CLI and WorkerEntrypoint class pattern. Includes Python Workflows for multi-step DAG automation. Prevents 11 documented errors. Use when: building Python serverless APIs, migrating Python to edge, or troubleshooting async errors, package compatibility, handler pattern mistakes, RPC communication issues.
Install with Tessl CLI
npx tessl i github:jezweb/claude-skills --skill cloudflare-python-workers86
Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillValidation for skill structure
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is an excellent skill description that hits all the marks. It provides specific concrete capabilities (API building, Workflows, error prevention), includes a comprehensive 'Use when:' clause with natural trigger terms, and carves out a highly distinctive niche around Cloudflare Workers Python development. The description is concise yet information-dense, using third person voice appropriately.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple concrete actions: 'Build Python APIs', 'using pywrangler CLI and WorkerEntrypoint class pattern', 'Python Workflows for multi-step DAG automation', 'Prevents 11 documented errors'. These are specific, actionable capabilities. | 3 / 3 |
Completeness | Clearly answers both what (build Python APIs on Cloudflare Workers, Workflows for DAG automation, error prevention) AND when (explicit 'Use when:' clause with specific trigger scenarios like building serverless APIs, migrating to edge, troubleshooting various error types). | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural terms users would say: 'Python APIs', 'Cloudflare Workers', 'serverless APIs', 'edge', 'async errors', 'package compatibility', 'handler pattern', 'RPC communication', 'pywrangler'. These match real user vocabulary. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive niche: specifically Cloudflare Workers + Python + pywrangler CLI. The combination of platform (Cloudflare), language (Python), tool (pywrangler), and pattern (WorkerEntrypoint) creates a clear, non-conflicting scope unlikely to overlap with generic Python or serverless skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a high-quality, actionable skill with excellent executable examples and clear workflow guidance. The Known Issues section is particularly valuable, providing specific error messages and prevention patterns. The main weakness is length—the document tries to be comprehensive rather than an overview pointing to detailed materials, which impacts both conciseness and progressive disclosure.
Suggestions
Extract the 11 Known Issues into a separate KNOWN_ISSUES.md file and reference it from the main skill
Move the Python Workflows section to a dedicated WORKFLOWS.md file since it's a distinct feature with its own complexity
Trim the 'Why Decorator Pattern?' explanation and historical timeline—these explain context Claude doesn't need
Consider removing or condensing the 'Migration from Pre-December 2025 Workers' section as it's historical context that may not be needed for new projects
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is comprehensive but includes some unnecessary explanations (e.g., explaining why Python uses decorators vs JavaScript callbacks, historical timeline details). Some sections like 'Why Decorator Pattern?' explain concepts that could be trimmed. However, most content is actionable and relevant. | 2 / 3 |
Actionability | Excellent executable code throughout with copy-paste ready examples. Every concept includes working Python code, proper configuration snippets, and specific commands. The Quick Start section alone provides a complete working example in 6 steps. | 3 / 3 |
Workflow Clarity | Clear numbered sequences with explicit validation steps. The Quick Start is well-sequenced, workflow examples show proper step dependencies, and the Known Issues section provides clear before/after patterns with explicit error messages and fixes. | 3 / 3 |
Progressive Disclosure | Content is well-organized with clear sections and headers, but the document is quite long (~600 lines) with detailed content that could be split into separate reference files. The 11 known issues could be a separate ISSUES.md, and the Workflows section could be WORKFLOWS.md. External links are provided but internal file references are missing. | 2 / 3 |
Total | 10 / 12 Passed |
Validation
68%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 16 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
skill_md_line_count | SKILL.md is long (739 lines); consider splitting into references/ and linking | Warning |
metadata_version | 'metadata' field is not a dictionary | Warning |
license_field | 'license' field is missing | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
body_steps | No step-by-step structure detected (no ordered list); consider adding a simple workflow | Warning |
Total | 11 / 16 Passed | |
- Reviewed
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