agents-sdk
Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, or chat applications. Covers Agent class, state management, callable RPC, Workflows integration, and React hooks.
95
93%
Does it follow best practices?
Impact
95%
1.26xAverage score across 3 eval scenarios
Advisory
Suggest reviewing before use
Quality
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 clearly identifies a specific technology domain (Cloudflare Workers Agents SDK), lists concrete capabilities and concepts covered, and provides explicit trigger guidance via a 'Load when' clause with six distinct scenarios. It uses proper third-person voice and is concise without being vague.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions and concepts: building AI agents, stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, chat applications, Agent class, state management, callable RPC, Workflows integration, and React hooks. | 3 / 3 |
Completeness | Clearly answers both 'what' (build AI agents on Cloudflare Workers using the Agents SDK, covering Agent class, state management, RPC, Workflows, React hooks) and 'when' (explicit 'Load when' clause listing six specific trigger scenarios). | 3 / 3 |
Trigger Term Quality | Includes strong natural keywords users would say: 'AI agents', 'Cloudflare Workers', 'Agents SDK', 'WebSocket', 'scheduled tasks', 'MCP servers', 'chat applications', 'state management', 'RPC', 'React hooks', 'durable workflows'. These cover a wide range of terms a developer would naturally use. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with a clear niche: Cloudflare Workers + Agents SDK is a very specific platform and framework combination. The trigger terms like 'Agents SDK', 'Cloudflare Workers', 'MCP servers', and 'durable workflows' are unlikely to conflict with other skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
87%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-crafted skill that efficiently covers a complex SDK. It excels at conciseness (tables, minimal prose), actionability (executable code examples), and progressive disclosure (clear references to both external docs and bundled reference files). The main weakness is the lack of an explicit end-to-end workflow with validation checkpoints for setting up and verifying a working agent.
Suggestions
Add a brief sequenced workflow section (e.g., '1. Install → 2. Configure wrangler → 3. Create agent → 4. Verify with `wrangler dev` → 5. Test endpoint') with a validation step confirming the agent is reachable.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is lean and efficient. It assumes Claude's competence, avoids explaining basic concepts, and uses tables and code blocks to convey maximum information in minimal space. The 'STOP' directive and doc-fetching instruction are valuable additions that earn their tokens. | 3 / 3 |
Actionability | Provides fully executable TypeScript code for the Agent class, wrangler configuration (JSONC), React client usage, and concrete CLI commands for installation verification. The Core APIs table gives copy-paste ready patterns for every common task. | 3 / 3 |
Workflow Clarity | The skill provides clear individual steps (verify installation, configure wrangler, create agent class, set up routing) but lacks an explicit sequenced workflow with validation checkpoints. There's no 'verify your agent is running' step or error recovery guidance after setup. | 2 / 3 |
Progressive Disclosure | Excellent structure with a concise overview in the main file, a well-organized documentation table pointing to external GitHub docs, and clearly signaled one-level-deep references to 7 bundled reference files covering specific topics (workflows, callable, state, streaming, MCP, email, codemode). | 3 / 3 |
Total | 11 / 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.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
- Repository
- elastic/elastic-ramen
- Commit
2e200ec
- Reviewed
Table of Contents
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.