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twilio-customer-support-architect

Planning skill for building customer service and support systems. Qualifies the developer's needs across the support ladder (self-service → AI agents → contact center), channel mix, and scale to recommend the right Twilio architecture. Handles both "build me a call center" and "add an IVR to my existing support line."

56

Quality

71%

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Medium

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

Quality

Content

63%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 well-sequenced, information-dense qualification framework with genuinely actionable guidance, gotchas, and a concrete output template. It loses points for duplicated decision content (Studio-vs-TwiML, Functions limits), the absence of explicit validation checkpoints, and inlining a compliance matrix and skill catalog that belong in reference files.

Suggestions

Consolidate the thrice-stated Studio-vs-custom-TwiML/Functions decision and the twice-stated Functions concurrency limits into the single Decision Rules section, leaving only a pointer elsewhere.

Move the regulatory/compliance matrix (TCPA, PCI DSS, HIPAA, FDCPA, GDPR, SHAKEN/STIR) and the full skills-to-install catalog into separate reference files (e.g., references/compliance.md, references/skill-catalog.md) linked from the body.

Add explicit validation checkpoints, e.g., 'Before recommending, confirm volume, channel mix, and compliance constraints with the developer; if any answer contradicts the chosen level, revisit Step 2.'

DimensionReasoningScore

Conciseness

The body is mostly dense, high-value decision tables and gotchas, but there is real redundancy: the Studio-vs-custom-TwiML decision appears three times (Step 2 Q4 'recommended by SEs over custom state machines', Step 3 Level 1 'SEs strongly recommend this over hand-coded state machines', and the Decision Rules section), and the Functions limits (30 concurrent executions, 10-second timeout) are stated twice in full. This fits 'mostly efficient but could be tightened' rather than 'efficient with only minor trimming' (4).

3 / 5

Actionability

For an instruction-only skill the guidance is highly concrete: exact attributes ('record="record-from-answer-dual"'), idempotency patterns ('{CallSid}-{CallStatus} composite key'), volume thresholds, gotchas with failure modes, and a complete output template naming the exact skills to install. It is not a 5 because some hand-offs are named without any mechanics (e.g., 'Hand off to twilio-ai-agent-architect') and no illustrative TwiML/Studio examples are given; not a 3 because the guidance is executable and specific throughout.

4 / 5

Workflow Clarity

Steps 1-4 are clearly sequenced (detect specificity → qualify intent → assess sophistication → qualify context) with three explicit modes and inline checkpoints ('Quick check: Are they building a one-off or something that should scale?'), and a concrete output format. It is not a 5 because there are no explicit validation/feedback loops (e.g., re-confirming assumptions with the developer before recommending) — checkpoints are implicit rather than explicit; not a 3 because the sequence and most checkpoints are present.

4 / 5

Progressive Disclosure

The ~190-line body has good header structure, but there are no reference files at all, and clearly separable content is inlined: the ~30-line regulatory matrix (TCPA, PCI DSS, HIPAA, FDCPA, GDPR, SHAKEN/STIR) and the full skill-install catalog in the Output Format would sit better in a one-level-deep reference file. This fits 'some structure... content that should be separate is inline' (3) better than 'good structure, references mostly clear' (4), since no file references exist to be clear.

3 / 5

Total

14

/

20

Passed

Description

66%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.

A solid, domain-specific description with concrete actions and natural trigger phrases including quoted user requests. Its main gaps are the lack of an explicit 'Use when...' clause and a few missing common trigger synonyms.

Suggestions

Add an explicit 'Use when...' clause, e.g. 'Use when the user wants to build or extend a customer support line, call center, IVR, or agent routing system on Twilio.'

Include a few more natural trigger synonyms such as 'phone tree,' 'call routing,' 'help desk,' and 'call queue' to broaden keyword coverage.

Clarify the boundary with sibling skills (e.g., state that AI-agent design is delegated to a separate skill) to reduce overlap risk.

DimensionReasoningScore

Specificity

The description names the domain and several concrete actions ("Qualifies the developer's needs across the support ladder... channel mix, and scale to recommend the right Twilio architecture"), with specific ladder stages and example request shapes. It is not a 5 because coverage is not comprehensive — concrete architecture outcomes beyond 'recommend the right Twilio architecture' are thin — and not a 3 because it lists more than 1-2 concrete actions.

4 / 5

Completeness

The 'what' is clear (a planning skill that qualifies needs and recommends a Twilio architecture), but there is no explicit 'Use when...' clause — the 'when' is only weakly implied by the two quoted example requests. Per the judging guideline, a missing 'Use when...' clause or equivalent explicit trigger guidance caps completeness at 3; it is not a 2 because the 'what' is clear and 'when' is more than absent.

3 / 5

Trigger Term Quality

Good coverage of natural terms users would say: "customer service and support systems," "call center," "IVR," "contact center," "AI agents," and quoted requests like "build me a call center" and "add an IVR to my existing support line." It is not a 5 because common variations such as "phone tree," "call routing," "help desk," or "call queue" are absent.

4 / 5

Distinctiveness Conflict Risk

It carves a clear niche (Twilio customer support/contact-center architecture) with mostly distinct triggers. It is not a 5 because 'self-service → AI agents → contact center' overlaps the sibling AI-agent and agent-augmentation planner skills it hands off to, creating minor conflict risk.

4 / 5

Total

15

/

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

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

Repository

openai/plugins

Path

plugins/twilio-developer-kit/skills/twilio-customer-support-architect/SKILL.md

Reviewed

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