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conversation-intelligence

Twilio Conversation Intelligence development guide. Use when building real-time or post-call conversation analysis, language operator pipelines, sentiment analysis, agent assist, cross-channel analytics, or querying aggregated conversation insights (sentiment trends, escalation rates, dashboards).

67

Quality

82%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

65%

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

The body is highly actionable and technically accurate with concrete code, real identifiers, and well-organized sections, but it is a large monolithic document with cross-section redundancy and no reference-file split. Workflow sequencing and validation checkpoints are present but implicit.

Suggestions

Split the large body into one-level-deep reference files (e.g. reference/insights-api.md, reference/operators.md, reference/gotchas.md) and keep SKILL.md as an overview with clearly-signaled links, improving progressive_disclosure and conciseness.

Deduplicate facts that appear in both Scope (CAN/CANNOT) and Gotchas — e.g. JSON-only API, PUT inactive-version, pagination limits — keeping each point in one canonical place and cross-referencing.

Add explicit validation checkpoints and error-recovery branches to the multi-step integration flows (e.g. 'verify config.id is returned before PUT', 'on 412 ETag mismatch, refetch and retry') to lift workflow_clarity to 3.

DimensionReasoningScore

Conciseness

Mostly efficient and Twilio-specific (Claude would not know these endpoints), but at ~615 lines there is notable redundancy — e.g. JSON-only API appears in both CANNOT #1 and Gotcha #2, PUT-creates-inactive-version in both CANNOT #9 and Gotcha #4, pagination in both the integration section and Gotcha #27 — so it could be tightened rather than fully lean.

2 / 3

Actionability

Provides fully executable fetch() snippets, real operator IDs, concrete endpoints, error codes, and copy-paste-ready JSON schemas; matches the level-3 anchor of specific, executable examples rather than pseudocode.

3 / 3

Workflow Clarity

The 'Create Intelligence Configuration' section shows a Step 1 / Step 2 sequence with expected outputs, but most flows lack explicit validation checkpoints or error-recovery branches; the PUT-inactive workaround (DELETE + recreate) is stated but feedback loops for destructive/batch operations are implicit, capping clarity at 2.

2 / 3

Progressive Disclosure

Sections are well-organized with headers and two clearly-signaled cross-skill references, but the skill is a single ~615-line monolithic file with no bundle files; the Insights API section, operator reference, and gotchas are candidates for one-level-deep reference files, matching the level-2 anchor of inline content that could be separate.

2 / 3

Total

9

/

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.

The description is well-crafted: it states the domain, enumerates concrete capabilities, and provides an explicit 'Use when' trigger clause with natural keywords. It is concise, uses third-person voice, and is unlikely to conflict with other skills.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'building real-time or post-call conversation analysis, language operator pipelines, sentiment analysis, agent assist, cross-channel analytics' — matching the level-3 anchor of several specific actions rather than a vague domain label.

3 / 3

Completeness

Explicitly states both what ('Twilio Conversation Intelligence development guide' plus named actions) and when ('Use when building...'), satisfying the level-3 anchor with an explicit trigger clause; not capped at 2 because the 'Use when' guidance is present.

3 / 3

Trigger Term Quality

Covers natural user phrasings such as 'sentiment analysis', 'agent assist', 'cross-channel analytics', 'sentiment trends', and 'dashboards'; not score 2 because coverage spans multiple common variations rather than a single keyword.

3 / 3

Distinctiveness Conflict Risk

Scoped to the Twilio Conversation Intelligence v3 niche with distinctive triggers (conversation analysis, language operator pipelines), unlikely to fire for unrelated skills; not score 2 because the domain and trigger terms are specific rather than generic.

3 / 3

Total

12

/

12

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (618 lines); consider splitting into references/ and linking

Warning

relative_links

Relative link issues: 2 suspicious

Warning

Total

14

/

16

Passed

Repository
openai/plugins
Reviewed

Table of Contents

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