CtrlK
BlogDocsLog inGet started
Tessl Logo

cekura-create-agent

Use when the user asks to "create a main agent", "set up a main agent", "add my main agent to Cekura", "configure my main agent", "connect my main 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: project selection, provider selection, basics and connection type, description, main agent creation, mock tools, knowledge base, dynamic variables, and advanced configuration.

70

Quality

85%

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

Content

70%

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-structured orchestration skill with excellent workflow clarity and progressive disclosure — the two-path flow (standard vs auto-import) is clearly documented, phases are properly sequenced with verification gates, and content is appropriately split across phase files. The main weaknesses are moderate verbosity in the execution model (many 'never do this' rules that could be tightened) and the lack of any concrete executable examples in the SKILL.md itself, with all actionable content deferred to referenced files that weren't provided for evaluation.

Suggestions

Add at least one concrete MCP tool call example in the 'API Access' or 'Execution Model' section to demonstrate the expected interaction pattern rather than just describing it abstractly.

Tighten the 'Execution Model' section by consolidating the 'never do this' bullet list into a shorter set of principles — several items overlap (e.g., 'do not skip phases' is stated three different ways).

DimensionReasoningScore

Conciseness

The skill is fairly well-structured but includes some redundancy — the execution model section repeats 'do not' rules extensively, and the phase table duplicates information already shown in the ASCII flow diagram. Some instructions (e.g., 'collect conversationally — ask one thing at a time') are behavioral coaching Claude likely doesn't need repeated this verbosely.

2 / 3

Actionability

The skill provides clear phase-by-phase structure and references to phase files with concrete instructions, but the SKILL.md itself contains no executable code, API call examples, or concrete commands — all actionable content is deferred to phase files and reference files. The execution model is directive but abstract (e.g., 'use MCP tools' without showing a single MCP call example).

2 / 3

Workflow Clarity

The 10-phase workflow is clearly sequenced with explicit gate conditions ('satisfy the gate condition'), two distinct paths (standard vs auto-import) are well-documented, and Phase 10 includes a verification/feedback loop ('if the run reveals issues, go back to the relevant phase, fix the issue, and retry'). The requirement that the skill doesn't end until verification succeeds is an excellent checkpoint.

3 / 3

Progressive Disclosure

Excellent progressive disclosure — the SKILL.md serves as a clear overview and routing document, with each of the 10 phases linked to dedicated phase files and 5 reference files clearly listed with descriptions. All references are one level deep and well-signaled with purpose descriptions.

3 / 3

Total

10

/

12

Passed

Description

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 skill description that excels across all dimensions. It provides extensive trigger terms covering many natural user phrasings, clearly delineates the full scope of the agent setup flow, and is highly distinctive due to platform-specific terminology. The only minor note is that the description is somewhat verbose with the long list of quoted trigger phrases, but this doesn't detract from its effectiveness.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: project selection, provider selection, main agent creation, mock tools setup, knowledge base upload, dynamic variables configuration, and advanced configuration. The full agent setup flow is broken down into distinct steps.

3 / 3

Completeness

Clearly answers both 'what' (covers the full agent setup flow with specific steps listed) and 'when' (explicit 'Use when...' clause with extensive trigger phrases). The when clause is front-loaded and comprehensive.

3 / 3

Trigger Term Quality

Excellent coverage of natural trigger terms users would say: 'create a main agent', 'set up mock tools', 'upload knowledge base', 'connect VAPI', 'connect Retell', 'connect LiveKit', 'connect ElevenLabs', 'add dynamic variables', 'configure integration'. These are highly specific and natural phrases.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive with platform-specific terminology ('Cekura platform', 'VAPI', 'Retell', 'LiveKit', 'ElevenLabs') and a very specific domain (voice AI agent onboarding). Unlikely to conflict with other skills.

3 / 3

Total

12

/

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

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.