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elevenlabs-agents

Build conversational AI voice agents on the ElevenLabs platform. Configure agent + tools + knowledge base, integrate SDK (React / React Native / Swift / JS / server-side), test, deploy. Use whenever the user mentions ElevenLabs, building a voice agent, an AI phone system, an AI receptionist, conversational AI, or troubleshooting deprecated @11labs packages, webhook errors, CSP violations, localhost allowlist, or tool parsing errors.

Quality

93%

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SKILL.md
Quality
Evals
Security

Quality

Content

82%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 a strong, action-dense skill: a clear 7-step workflow with executable commands and code throughout, genuinely non-obvious platform knowledge (MCP SSE incompatibility, signed URLs, deprecated packages), and a well-signaled one-level-deep bundle. Its weaknesses are mild: some full code listings duplicate existing bundle files and inflate the token budget, error-recovery feedback loops after test failures are absent, and one asset file goes unlisted.

Suggestions

Replace the inline 6-component prompt templates and CI/CD YAML with pointers to the existing assets (system-prompt-template.md, ci-cd-example.yml), keeping only one condensed example of each inline to cut token cost.

Add an explicit feedback loop after Step 6, e.g. 'If a test fails: revise the system prompt or tool config, re-run `elevenlabs agents test`, and only promote when all tests pass' before the Step 7 deploy.

List `assets/simulation-template.json` in the Asset Files section (it exists in the bundle but is currently unlisted), and consider moving the full Hono MCP server listing into a reference file with just the compatibility rules kept inline.

DimensionReasoningScore

Conciseness

Quotes: "Use the 6-component framework for effective agent prompts" followed by six full inline template blocks; the ~40-line Hono MCP server listing; the full CI/CD YAML block. Almost no space is wasted explaining concepts Claude already knows (no 'what is an LLM' padding), and the MCP compatibility note is genuinely non-obvious. But several full code listings duplicate existing bundle files (ci-cd-example.yml, system-prompt-template.md) and could be trimmed to references, matching "Efficient; minor instances of over-explanation that could be trimmed". Not 5 because every token does not earn its place; not 3 because the verbosity is only minor instances, not whole padded sections.

4 / 5

Actionability

Quotes: "npm install @elevenlabs/react" package table with per-package purpose; complete client-tool TypeScript with zod schemas; a runnable webhook tool JSON config; a full working MCP server implementation; "elevenlabs agents push --env prod --dry-run". The guidance is copy-paste ready: commands are exact, code is complete rather than pseudocode, and the examples cover the common cases (client tools, server webhooks, MCP, signed URLs, tests, CI). Matches "Fully executable; copy-paste ready code or commands; specific examples cover the common cases".

5 / 5

Workflow Clarity

Quotes: "### Step 1: Create Agent" through "### Step 7: Deploy" with "# Dry run first (always)" and a test step before the multi-environment "push --env staging / test / push --env prod" sequence. The seven steps are clearly sequenced with checkpoints (test in Step 6, dry-run before prod deploy). It falls short of anchor 5's "feedback loops for error recovery" — there is no 'if the test fails, revise the prompt/config and re-run' loop, and webhook verification shows a reject branch but no recovery path. Not 3 because checkpoints are explicit and present, not merely implied.

4 / 5

Progressive Disclosure

Quotes: "For specialised use cases, see: `references/api-reference.md` -- full REST API..." and the Asset Files section mapping each of 8 assets to its purpose. Verified against the actual bundle: all listed references/ and assets/ paths exist, one level deep, clearly signaled. It falls short of anchor 5 because the body is dense with full listings better suited to the bundle (CI/CD YAML duplicates assets/ci-cd-example.yml; the 6-component prompt framework duplicates assets/system-prompt-template.md) and assets/simulation-template.json exists in the bundle but is omitted from the Asset Files listing. Not 3 because the split is otherwise appropriate and navigation is easy; the 'Optional References' and 'Asset Files' sections are exactly the well-signaled pattern anchor 4 rewards.

4 / 5

Total

17

/

20

Passed

Description

100%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 is exemplary: it states concrete capabilities across the full build-configure-integrate-test-deploy lifecycle, uses third person, and includes an explicit 'Use whenever...' clause with comprehensive natural trigger terms including synonyms and platform-specific troubleshooting phrases. It clearly distinguishes itself from generic voice/conversational skills by anchoring to ElevenLabs-specific packages and errors.

DimensionReasoningScore

Specificity

Quotes: "Build conversational AI voice agents on the ElevenLabs platform. Configure agent + tools + knowledge base, integrate SDK (React / React Native / Swift / JS / server-side), test, deploy." It enumerates multiple concrete actions spanning the full lifecycle (build, configure, integrate, test, deploy) with platform-specific detail. This matches the anchor "Lists multiple specific concrete actions; comprehensive coverage"; it is not score 4 because coverage has no notable gaps, and not below 4 because no action is generic padding.

5 / 5

Completeness

Quotes: what — "Configure agent + tools + knowledge base, integrate SDK..., test, deploy"; when — "Use whenever the user mentions ElevenLabs, building a voice agent, an AI phone system..." Both 'what' and 'when' are explicitly answered with concrete trigger phrases, exactly matching the anchor-5 example pattern ("...Use when working with PDF files or when the user mentions PDFs, forms, or document extraction."). A 4 would require the 'when' clause to be less explicit, which it is not.

5 / 5

Trigger Term Quality

Quotes: "ElevenLabs, building a voice agent, an AI phone system, an AI receptionist, conversational AI, or troubleshooting deprecated @11labs packages, webhook errors, CSP violations, localhost allowlist, or tool parsing errors." These are natural phrases a user would actually say, including synonyms (voice agent / AI phone system / AI receptionist / conversational AI) and specific troubleshooting triggers. Matches the anchor "Comprehensive coverage of natural terms including synonyms"; nothing natural is missing, so 4 would undersell it.

5 / 5

Distinctiveness Conflict Risk

Quotes: "on the ElevenLabs platform" and "troubleshooting deprecated @11labs packages, webhook errors, CSP violations, localhost allowlist". The skill occupies a clear niche anchored to a named platform with distinct triggers (package names, CSP, localhost allowlist) that no generic skill would claim. Matches "Clear niche with distinct triggers; minimal conflict risk"; 'conversational AI' is slightly broad but is anchored by the platform qualifier, keeping it above 4.

5 / 5

Total

20

/

20

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 — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

jezweb/claude-skills

Path

plugins/integrations/skills/elevenlabs-agents/SKILL.md

Reviewed

Table of Contents

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