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building-livekit-agents

Builds voice and chat AI agents with LiveKit Agents and LiveKit Cloud. Use when the user asks to "build a voice agent", "create a LiveKit agent", "add voice AI to my app", "implement handoffs", "structure an agent workflow", "my agent is slow / too chatty", "it says it booked but nothing was saved", "make it confirm before committing", "it keeps re-asking things the caller already said", or is writing code against the LiveKit Agents SDK. Covers architecture: designing for latency, keeping context small, splitting a monolithic agent into handoffs and tasks, and designing for voice. Also covers keeping the model in charge of meaning while code owns state, approvals, and effects. For API specifics use reading-livekit-docs. To check behavior use debugging-livekit-agents and testing-livekit-agents.

Quality

90%

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SKILL.md
Quality
Evals
Security

Quality

Content

78%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.

A strong instruction-heavy skill body: every section carries specific, non-obvious design guidance with explicit validation stages, and the single bundle reference is well-signaled with clear when-to-read conditions. The main room for improvement is trimming the cross-section repetition and adding one worked example to make the guidance copy-paste concrete.

Suggestions

Consolidate the model-provider advice: the "Installing a provider plugin by reflex" common-mistake bullet and the verification triples in "Before you write code", "Verify before you call it done", and "Related skills" repeat points already made in "Models" — a one-line back-reference ("see 'Models' above") per section would trim tokens without losing guidance.

Add one minimal worked example of the core pattern — e.g., a two-agent greeting → intake → resolution handoff sketch or a mutating tool with its paired guard request — so the mutation-semantics and handoff rules have a concrete shape to follow rather than principle-only guidance.

Join the pre-code checklist, build, test, and ship stages into one explicit end-to-end sequence (with the validate → fix → retry loop spelled out for the failing-test pair) so the workflow reads as a single coherent process rather than distributed sections.

DimensionReasoningScore

Conciseness

The body is dense with non-obvious domain guidance and explains nothing Claude already knows, but there is minor redundancy: Inference advice appears in both "Models" and the "Common mistakes" bullet "Installing a provider plugin by reflex", and verification guidance is repeated across "Before you write code", "Verify before you call it done", and "Related skills". Trimming these overlaps would reach the lean top anchor; it is noticeably above the mostly-efficient midpoint, so not a 3.

4 / 5

Actionability

Concrete, executable guidance throughout: named env vars ("LIVEKIT_URL, LIVEKIT_API_KEY, LIVEKIT_API_SECRET, usually in .env"), precise mutation rules ("omission preserves; missing, empty, unknown, and cleared are four different things; collections get application-issued ids"), and a concrete test structure (failing complete-path test paired with the first refusing guard). It stops short of the copy-paste-ready top anchor — no worked example of a handoff or tool shape — which is a minor gap given API specifics are deliberately delegated to reading-livekit-docs.

4 / 5

Workflow Clarity

"Before you write code" is a clear numbered 4-step sequence (load docs, confirm connection, decide structure, plan verification), and validation checkpoints are explicit: drive a failing complete-path test first, "keep that pair green while you add everything else", then per-stage verification (debugging while building, tests before done, simulations before shipping). Not a 5 because the end-to-end sequence is distributed across separate sections rather than one coherent workflow with error-recovery loops, and "Keep that pair green" is the only implicit validate-fix-retry step.

4 / 5

Progressive Disclosure

The SKILL.md is an overview with a single, well-signaled one-level-deep reference — "The full treatment — including closing, output ownership, and how text and audio input take different hook paths — is in references/state-and-effects.md. Read it before building anything that books, edits, confirms, or ends calls" — and that file exists with no nested references. The "Related skills" section maps the rest of the ecosystem, making navigation easy.

5 / 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.

An exemplary description: third-person, concrete, and comprehensive on what the skill does, with an explicit 'Use when' clause containing ten natural trigger phrases including symptom-based wording users would say verbatim. Sibling-skill routing further reduces conflict risk in what is clearly a multi-skill ecosystem.

DimensionReasoningScore

Specificity

Multiple concrete capabilities are listed — "Builds voice and chat AI agents with LiveKit Agents and LiveKit Cloud", "designing for latency, keeping context small, splitting a monolithic agent into handoffs and tasks", "keeping the model in charge of meaning while code owns state, approvals, and effects" — giving comprehensive, domain-specific coverage rather than generic claims. Not a 4: the coverage spans building, architecture, state management, and failure modes with no meaningful gaps for this domain.

5 / 5

Completeness

Explicitly answers both questions: "Builds voice and chat AI agents with LiveKit Agents and LiveKit Cloud... Covers architecture..." states the what, and "Use when the user asks to..." lists concrete trigger phrases for the when. Matches the top anchor exactly; a missing or only weak 'when' clause would have capped it at 3.

5 / 5

Trigger Term Quality

Ten natural trigger phrases users would actually say, including symptom phrasings like "my agent is slow / too chatty", "it says it booked but nothing was saved", "it keeps re-asking things the caller already said", plus direct requests like "build a voice agent" and "add voice AI to my app". Comprehensive natural-term coverage including synonyms and failure-mode wording; not a 4 since no common variation is missing.

5 / 5

Distinctiveness Conflict Risk

All triggers are anchored on LiveKit-specific terms ("LiveKit agent", "LiveKit Agents SDK", "LiveKit Cloud"), and it explicitly partitions the space against siblings — "For API specifics use reading-livekit-docs. To check behavior use debugging-livekit-agents and testing-livekit-agents" — minimizing wrong-skill triggers. The clear architecture/structure niche leaves minimal conflict risk.

5 / 5

Total

20

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

Total

15

/

16

Passed

Repository

livekit/agent-skills

Path

skills/building-livekit-agents/SKILL.md

Reviewed

Table of Contents

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