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twilio-voice-twiml

Build voice call logic using TwiML (Twilio Markup Language). Covers the core verbs (Say, Play, Gather, Dial, Record, Conference), generating TwiML with Python and Node.js SDKs, and a complete inbound call IVR example. Use this skill to define call behavior for inbound or outbound calls.

68

Quality

81%

Does it follow best practices?

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SecuritybySnyk

Medium

Suggest reviewing before use

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 well-structured, highly actionable TwiML reference with executable dual-language code throughout and useful guardrails in the CANNOT section. Its main limitation is that all material is inline with no progressive disclosure into bundle files, and dual-language repetition adds some length.

Suggestions

Move the per-verb API detail (or the Pay/Conference deep dives) into a references file and keep SKILL.md as a concise overview pointing to it, improving progressive disclosure.

Consolidate trivial verbs (e.g. Play) to a single language or a one-line form to reduce token weight where the pattern is already established.

DimensionReasoningScore

Conciseness

The body is mostly lean — one-sentence overview, brief per-verb notes, and code with little padding about what Twilio or TwiML is — but the parallel Python/Node blocks for every verb add length that could be trimmed for the most trivial cases; the dual-language repetition is justified by actionability.

4 / 5

Actionability

Provides fully executable, copy-paste-ready code in both Python and Node.js across Quickstart and every core verb, plus a complete inbound IVR example and concrete production-deployment guidance covering the common cases.

5 / 5

Workflow Clarity

The Quickstart gives a coherent end-to-end sequence (greet → gather → menu → handler) and deployment/state sections are clearly ordered, but there are no explicit validation checkpoints; this is acceptable since serving TwiML is not a destructive or batch operation, so the 4 reflects the reference-catalog nature rather than a missing feedback loop.

4 / 5

Progressive Disclosure

Content is well-organized under clear section headers with no nested references and clearly-signaled cross-links to sibling skills, but all ~340 lines live inline in SKILL.md with no bundle files to split detailed material into.

4 / 5

Total

17

/

20

Passed

Description

80%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 specific, action-oriented, and clearly identifies the TwiML voice-call niche with an explicit use clause. It is strong overall, held back only by slightly thin trigger-term synonyms and a single rather than enumerated trigger conditions.

Suggestions

Broaden trigger terms with synonyms such as "phone calls" or "telephony" so users phrase the need more naturally.

Expand the 'when' clause to enumerate concrete trigger phrases (e.g. "Use when the user asks to build an IVR, set up an inbound call menu, or generate TwiML for a Twilio voice webhook").

DimensionReasoningScore

Specificity

Lists multiple concrete actions — "Build voice call logic using TwiML", "Covers the core verbs (Say, Play, Gather, Dial, Record, Conference)", "generating TwiML with Python and Node.js SDKs", and "a complete inbound call IVR example" — giving comprehensive coverage of the skill's capabilities.

5 / 5

Completeness

Clearly states both what (build TwiML voice call logic covering core verbs and SDKs) and when ("Use this skill to define call behavior for inbound or outbound calls"), but the trigger guidance is a single use-case rather than multiple concrete trigger phrases.

4 / 5

Trigger Term Quality

Includes natural terms users would say ("voice call", "TwiML", "inbound call", "outbound calls", "IVR") but omits common synonyms like "phone call" or "telephony", leaving a few natural phrases missing.

4 / 5

Distinctiveness Conflict Risk

TwiML voice-call logic is a clear niche, but sibling skills (outbound calls, conversation relay, call recordings) create minor overlap risk on closely related voice tasks.

4 / 5

Total

17

/

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
openai/plugins
Reviewed

Table of Contents

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