CtrlK
BlogDocsLog inGet started
Tessl Logo

ai-pricing

When the user wants to price an AI product, choose a charge metric, design pricing tiers, or optimize margins. Also use when the user mentions 'AI pricing,' 'usage-based pricing,' 'consumption pricing,' 'outcome pricing,' 'BYOK,' 'bring your own key,' 'per-seat pricing,' 'pricing tiers,' 'AI margins,' 'cost per token,' or 'pricing model.' This skill covers pricing strategy, packaging, and margin management for AI-native products. Do NOT use for technical implementation, code review, or software architecture.

94

Quality

92%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Discovery

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.

This is an excellent skill description that hits all the marks. It provides specific capabilities, comprehensive trigger terms covering many natural user phrasings, explicit 'when to use' and 'when not to use' guidance, and a clearly defined niche that minimizes overlap with other skills. The description is well-structured, concise, and uses proper third-person voice throughout.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: 'price an AI product, choose a charge metric, design pricing tiers, or optimize margins' and further specifies 'pricing strategy, packaging, and margin management for AI-native products.'

3 / 3

Completeness

Clearly answers both 'what' (price AI products, choose charge metrics, design tiers, optimize margins, pricing strategy/packaging/margin management) and 'when' (explicit 'Use when' clause with detailed trigger terms). Also includes a 'Do NOT use' exclusion clause for additional clarity.

3 / 3

Trigger Term Quality

Excellent coverage of natural trigger terms users would say: 'AI pricing,' 'usage-based pricing,' 'consumption pricing,' 'outcome pricing,' 'BYOK,' 'bring your own key,' 'per-seat pricing,' 'pricing tiers,' 'AI margins,' 'cost per token,' 'pricing model.' These are terms users would naturally use.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive niche focused on AI product pricing strategy with clear boundaries. The explicit exclusion of 'technical implementation, code review, or software architecture' further reduces conflict risk with engineering-focused skills.

3 / 3

Total

12

/

12

Passed

Implementation

85%

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

This is a strong, well-structured pricing strategy skill that provides highly actionable guidance with real-world examples, specific price points, and clear decision frameworks. The progressive disclosure is excellent, with the main file serving as a comprehensive but navigable overview that points to detailed references. The main weakness is moderate verbosity—some tables and sections could be consolidated without losing clarity, though the density of genuinely useful reference data partially justifies the length.

DimensionReasoningScore

Conciseness

The skill is quite long (~300+ lines) with extensive tables and examples. While much of the content is genuinely useful reference material (real pricing examples, decision frameworks), some sections could be tightened—e.g., the archetype comparison table repeats information that could be consolidated, and the 'Before Starting' checklist includes items Claude could infer. However, it largely avoids explaining concepts Claude already knows.

2 / 3

Actionability

The skill provides highly concrete, actionable guidance: specific price points ($0.99/resolution, $19/seat/mo), real company examples, decision trees with clear branching logic, step-by-step hybrid model design, and templates with actual numbers. The troubleshooting section gives specific cause-fix pairs. This is copy-paste-ready strategic guidance.

3 / 3

Workflow Clarity

Multi-step processes are clearly sequenced: the charge metric decision tree has explicit branching, the hybrid model design has numbered steps with specific guidance at each stage, and the outcome pricing design template walks through 5 sequential steps with examples. The 'Before Starting' section establishes a clear discovery workflow before any recommendations are made.

3 / 3

Progressive Disclosure

The skill provides a comprehensive overview in the main file while clearly pointing to `references/implementation-guide.md` for BYOK, margin management, migration, and other advanced topics, and `references/quick-reference.md` for checklists and benchmarks. References are one level deep and clearly signaled with specific topic lists. The related skills table provides excellent cross-navigation.

3 / 3

Total

11

/

12

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.

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository
tech-leads-club/agent-skills
Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.