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twilio-ai-agent-architect

Planning skill for AI-powered conversational agents. Qualifies the developer's use case across outcome sophistication, entry point, and customer profile to recommend the right Twilio Conversations architecture and implementation skills. Handles both high-level requests ("build me a voice AI assistant") and specific ones ("integrate ConversationRelay with my OpenAI backend").

62

Quality

73%

Does it follow best practices?

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SecuritybySnyk

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tessl review fix ./plugins/twilio-developer-kit/skills/twilio-ai-agent-architect/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

65%Weight 40%Scale 1-3

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

The content is highly actionable with a clear capability ladder and concrete decision rules, but it carries some redundancy across sections and lacks external reference files, leaving progressive disclosure and conciseness at 2.

Suggestions

De-duplicate the SDK/implementation-path content that appears in Step 1, Decision Rules, and the SDK Options section into one canonical location.

Add an explicit validation gate to Step 2 (e.g., 'Confirm answers to all 5 questions before recommending a level') to raise workflow clarity.

Extract the detailed GA Constraints and Regulatory Context sections into a reference file (e.g., references/constraints.md) referenced from the body to improve progressive disclosure.

DimensionReasoningScore

Conciseness

The body is dense and assumes Claude's expertise (no basic concept explanations), but SDK options and capability-ladder content repeat across Step 1, Decision Rules, and the SDK Options section, so it could be tightened.

2 / 3

Actionability

Provides concrete, actionable guidance — named skills to install (e.g., 'twilio-agent-connect'), env vars ('MEMORY_STORE_ID'), explicit 'Use X when' decision rules, and per-level architecture combos — fully copy-ready for an instruction/routing skill.

3 / 3

Workflow Clarity

Steps 1-4 are clearly sequenced with mode selection (DISCOVERY/VALIDATION/BUILD) and a capability ladder, but the 5-questions section says to 'gather organically' with no explicit validation checkpoint confirming answers before recommending.

2 / 3

Progressive Disclosure

No references/ or scripts/ bundle files exist; cross-skill references are names rather than navigable files, and all detailed content is inline in a single ~290-line body rather than split into well-signaled one-level-deep references.

2 / 3

Total

9

/

12

Passed

Description

82%Weight 40%Scale 1-3

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 and distinctive with natural trigger phrasings, but it omits an explicit 'Use when...' clause, which caps completeness at 2 per the rubric guideline.

Suggestions

Add an explicit 'Use when ...' clause naming the trigger signals (e.g., 'Use when a developer asks to build AI voice/chat agents or integrate ConversationRelay, Conversation Memory, or Conversation Intelligence with an LLM').

Move the concrete trigger terms currently in the body ('AI agent', 'voice bot', 'LLM + phone') into the frontmatter description so the activation context is self-contained.

DimensionReasoningScore

Specificity

Quotes multiple concrete actions — 'Qualifies the developer's use case across outcome sophistication, entry point, and customer profile to recommend the right Twilio Conversations architecture and implementation skills' and 'Handles both high-level requests... and specific ones' — matching the 'lists multiple specific concrete actions' anchor.

3 / 3

Completeness

The 'what' is explicit (planning skill that qualifies and recommends architecture/skills), but there is no 'Use when...' clause or equivalent explicit trigger guidance — the rubric caps completeness at 2 when that is missing.

2 / 3

Trigger Term Quality

Includes natural user phrasings like '"build me a voice AI assistant"' and '"integrate ConversationRelay with my OpenAI backend"', giving good coverage of terms a user would actually say.

3 / 3

Distinctiveness Conflict Risk

Clearly scoped to 'Twilio Conversations architecture' for AI conversational agents with distinct product-specific triggers, unlikely to conflict with unrelated skills.

3 / 3

Total

11

/

12

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.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
openai/plugins
Reviewed

Table of Contents

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