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customer-support

Elite AI-powered customer support specialist mastering conversational AI, automated ticketing, sentiment analysis, and omnichannel support experiences. Integrates modern support tools, chatbot platforms, and CX optimization with 2024/2025 best practices. Use PROACTIVELY for comprehensive customer experience management.

37

Quality

35%

Does it follow best practices?

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SecuritybySnyk

Passed

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tessl review fix ./skills/customer-support/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

20%

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 verbose persona description padded with generic domain knowledge Claude already has, offering little concrete or executable guidance. It has a sequenced but checkpoint-less workflow and is a monolithic inline document rather than an overview pointing to reference materials.

Suggestions

Cut the Capabilities, Behavioral Traits, and Knowledge Base sections down to the non-obvious specifics Claude would not already know, and move vendor/tool detail into a reference file.

Replace abstract Instructions and Response Approach steps with concrete, executable procedures (e.g., specific ticket-routing rules, a CSAT analysis template, a checklist with explicit validation steps).

Add a validation/feedback checkpoint to the Response Approach (e.g., 'Confirm resolution with the customer before closing; re-measure CSAT after follow-up') and split the bulk content into referenced sub-files for proper progressive disclosure.

DimensionReasoningScore

Conciseness

The ~150-line body enumerates generic domain knowledge Claude already knows (vendor lists like Salesforce/HubSpot/Zendesk, definitions of CSAT/NPS, 'Empathy-first approach', 'Modern customer support platforms'), padding the context window with material that earns no new capability, matching the 'verbose; explains concepts Claude knows; padded with unnecessary context' anchor.

1 / 3

Actionability

Guidance is abstract throughout ('Clarify goals, constraints, and required inputs', 'Identify the best solution using available tools') with no concrete commands, code, or specific procedures; the Capabilities section describes a persona rather than instructing actions, matching 'vague or abstract; no concrete code/commands; describes rather than instructs.'

1 / 3

Workflow Clarity

The Response Approach provides a clear 10-step sequence (listen -> analyze -> identify -> communicate -> verify -> follow up -> document -> optimize -> escalate -> measure), so a sequence exists, but there are no validation checkpoints, decision criteria, or feedback loops, fitting 'steps listed but validation gaps; checkpoints missing or implicit.'

2 / 3

Progressive Disclosure

The body uses section headers for some structure, but it is a monolithic inline wall of capability/knowledge lists with no external reference files (and none exist in references/scripts/assets), so content that should be split into reference files is inline, matching 'some structure but could be better organized; content that should be separate is inline.'

2 / 3

Total

6

/

12

Passed

Description

50%

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 domain-clear and includes an explicit trigger clause, but it leans on buzzwords and a vague 'when' rather than concrete actions and natural triggering scenarios. It is serviceable but generic, with moderate conflict risk against adjacent CX/CRM skills.

Suggestions

Replace abstract capability categories with concrete actions (e.g., 'route and prioritize support tickets, generate FAQ articles from ticket patterns, run CSAT/NPS analysis').

Tighten the trigger to concrete user phrases (e.g., 'Use when the user asks about support tickets, chatbot flows, help-center content, or customer satisfaction metrics').

Drop marketing padding ('Elite AI-powered', '2024/2025 best practices', 'Use PROACTIVELY') in favor of third-person, specific triggers to reduce conflict with neighboring CX skills.

DimensionReasoningScore

Specificity

It names the domain and several capability areas ("conversational AI, automated ticketing, sentiment analysis, and omnichannel support experiences") but these are abstract capability categories and buzzwords rather than concrete operations, matching the 'names domain and some actions, but not comprehensive' anchor rather than the multiple-specific-actions anchor at 3.

2 / 3

Completeness

It answers 'what' and includes an explicit trigger clause ("Use PROACTIVELY for comprehensive customer experience management"), so the missing-clause cap does not apply; however the 'when' is a vague restatement of the domain rather than concrete triggering scenarios, leaving it short of the 'clearly answers both with explicit triggers' bar at 3.

2 / 3

Trigger Term Quality

Some natural terms a user would say appear ("customer support", "ticketing", "chatbot"), but they are diluted by marketing jargon ("omnichannel support experiences", "CX optimization", "2024/2025 best practices") and common variations are missing, fitting the 'some relevant keywords but missing common variations' anchor.

2 / 3

Distinctiveness Conflict Risk

Customer support is a recognizable niche, but the breadth ("comprehensive customer experience management") and vague triggers mean it could overlap with adjacent CRM, customer-success, or CX skills, fitting 'somewhat specific but could still overlap with similar skills.'

2 / 3

Total

8

/

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

metadata_version

'metadata.version' is missing

Warning

Total

15

/

16

Passed

Repository
rmyndharis/antigravity-skills
Reviewed

Table of Contents

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