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cekura-create-agent

Use when the user asks to "create an agent", "set up an agent", "add my agent to Cekura", "configure my voice agent", "connect my agent", "set up mock tools", "add tools to my agent", "upload knowledge base", "configure integration", "connect VAPI", "connect Retell", "connect LiveKit", "connect ElevenLabs", "add dynamic variables", or needs to onboard a voice AI agent onto the Cekura platform. Covers the full agent setup flow: collecting context, creating the agent, configuring the provider integration, setting up mock tools, uploading knowledge base files, and adding dynamic variables.

75

Quality

92%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Risky

Do not use without reviewing

SKILL.md
Quality
Evals
Security

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 a strong description that excels across all dimensions. It provides extensive explicit trigger phrases, clearly describes the full scope of capabilities, and is highly distinctive due to the specific platform and provider names. The only minor note is that the trigger phrase list is quite long, but it serves the purpose of comprehensive coverage well.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: collecting context, creating the agent, configuring provider integration, setting up mock tools, uploading knowledge base files, and adding dynamic variables. These are clear, actionable steps.

3 / 3

Completeness

Clearly answers both 'what' (full agent setup flow including context collection, agent creation, provider integration, mock tools, knowledge base, dynamic variables) and 'when' (explicit 'Use when...' clause with extensive trigger phrases).

3 / 3

Trigger Term Quality

Excellent coverage of natural trigger phrases users would say: 'create an agent', 'set up an agent', 'connect my agent', 'upload knowledge base', 'configure integration', plus specific provider names like VAPI, Retell, LiveKit, ElevenLabs. These are highly natural user phrases.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive with a clear niche: Cekura platform voice AI agent onboarding. The specific platform name (Cekura) and provider names (VAPI, Retell, LiveKit, ElevenLabs) make it very unlikely to conflict with other skills.

3 / 3

Total

12

/

12

Passed

Implementation

85%

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

This is a strong, well-structured skill that guides Claude through a complex multi-phase agent onboarding flow with concrete API payloads, clear sequencing, and appropriate progressive disclosure to reference files. The actionability is excellent with real JSON examples and provider-specific details. Minor verbosity exists in explanatory sections (what KB files enable, what dynamic variables enable) that could be trimmed, but overall the content earns its token budget.

DimensionReasoningScore

Conciseness

The skill is fairly long but most content is necessary for the multi-phase workflow. Some unnecessary explanations exist (e.g., explaining what knowledge base files enable, what dynamic variables enable) that Claude could infer, and the purpose/description section at the top is somewhat redundant. However, the bulk of the content is actionable configuration details.

2 / 3

Actionability

Provides concrete JSON payloads, curl commands, exact API endpoints, specific field names and formats, and provider-specific credential requirements. The mock tool setup includes realistic example data with phone format variants. Nearly every step has executable, copy-paste-ready guidance.

3 / 3

Workflow Clarity

The 7-phase workflow is clearly sequenced with explicit validation in Phase 7, each phase builds on the previous one's output (agent ID flows through), and there's guidance on skipping completed steps. The verification checklist at the end provides a clear feedback loop, and the skill explicitly states 'validate each step before moving to the next.'

3 / 3

Progressive Disclosure

The skill provides a clear overview with well-signaled references to deeper content: `references/integrations.md` for provider details, `references/mock-tool-design.md` for mock tool patterns, `references/api-reference.md` for full API schemas, and `scripts/upload-agent.sh` for large payloads. References are one level deep and clearly described, though bundle files weren't provided to verify their existence.

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.

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository
cekura-ai/cekura-skills
Reviewed

Table of Contents

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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.