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pantheon-ai/moscow-prioritization

Prioritize product requirements with the MoSCoW framework in a deterministic way. Use when teams need to define MVP scope, sequence releases, resolve stakeholder conflicts, prevent scope creep, or rebalance backlog under time, budget, or staffing constraints. Keywords: moscow, must should could wont, requirement prioritization, backlog, mvp, release planning, scope control, stakeholder alignment.

Overall
score

99%

Does it follow best practices?

Validation for skill structure

Overview
Skills
Evals
Files

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 concrete actions, comprehensive trigger terms including an explicit keywords list, clear 'Use when' guidance with multiple scenarios, and a distinct focus on the MoSCoW framework that minimizes conflict risk with other skills.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: 'Categorize requirements into Must/Should/Could/Won't tiers', 'generate priority matrices', and 'facilitate trade-off discussions using the MoSCoW framework'.

3 / 3

Completeness

Clearly answers both what (categorize requirements, generate matrices, facilitate discussions) AND when ('Use when teams need to define MVP scope, sequence releases, resolve stakeholder conflicts, prevent scope creep, or rebalance backlog').

3 / 3

Trigger Term Quality

Excellent coverage of natural terms users would say, including explicit keywords section with 'moscow, must should could wont, requirement prioritization, backlog, mvp, release planning, scope control, stakeholder alignment'.

3 / 3

Distinctiveness Conflict Risk

Clear niche focused specifically on MoSCoW prioritization framework with distinct triggers like 'must should could wont' and 'moscow' that are unlikely to conflict with general project management or other prioritization skills.

3 / 3

Total

12

/

12

Passed

Implementation

100%

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

This is an exemplary skill document that demonstrates excellent structure and actionability. It provides a clear deterministic workflow with validation checkpoints, concrete commands with expected outputs, and well-organized anti-patterns. The references are appropriately externalized and clearly signaled.

DimensionReasoningScore

Conciseness

The content is lean and efficient, with no unnecessary explanations of concepts Claude would already know. Every section serves a clear purpose and the anti-patterns use a consistent, compact format.

3 / 3

Actionability

Provides concrete, copy-paste ready bash commands with expected results, specific percentage thresholds (60% rule), and clear decision criteria. The workflow steps are specific and executable.

3 / 3

Workflow Clarity

The 7-step deterministic workflow is clearly sequenced with an explicit validation checkpoint at step 5, and step 6 provides a feedback loop with escalation path when validation fails.

3 / 3

Progressive Disclosure

Clean overview structure with well-signaled one-level-deep references to decision tree, workshop template, and effort balancing docs. Content is appropriately split between main skill and reference files.

3 / 3

Total

12

/

12

Passed

Validation

91%

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

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

Total

10

/

11

Passed

Install with Tessl CLI

npx tessl i pantheon-ai/moscow-prioritization@0.1.0

Reviewed

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