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market-sizing-analysis

Comprehensive market sizing methodologies for calculating Total Addressable Market (TAM), Serviceable Available Market (SAM), and Serviceable Obtainable Market (SOM) for startup opportunities.

51

Quality

56%

Does it follow best practices?

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SecuritybySnyk

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Fix and improve this skill with Tessl

tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills-claude/skills/market-sizing-analysis/SKILL.md

The canonical home for this skill is market-sizing-analysis in administrakt0r/AI-Agents-Safe-Coding-Skills

SKILL.md
Quality
Evals
Security

Quality

Content

52%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.

The content is well-structured with concrete formulas, named data sources, worked examples, and a clear sequenced workflow, but it is noticeably verbose with repeated sections and suffers from severe progressive-disclosure problems: most referenced bundle files are missing and the bulk of detail is inlined into SKILL.md.

Suggestions

Create the missing referenced files (methodology-deep-dive.md, industry-templates.md, examples/*.md, resources/implementation-playbook.md) or remove the broken references.

Move the inlined industry-specific templates and worked examples out of SKILL.md into the reference/example files so SKILL.md stays a lean overview.

De-duplicate the 'Quick Start' and 'Step-by-Step Process' sections and trim conceptual explanation Claude already knows to improve conciseness.

DimensionReasoningScore

Conciseness

The ~415-line body has several padded/repeated sections — the 'Quick Start' rehashes the 'Step-by-Step Process', and 'Common Mistakes' repeats 'Red Flags' — plus conceptual explanation Claude already knows, fitting anchor 2 ('Noticeably verbose; several unnecessary explanations or padded sections') better than the mostly-efficient anchor 3.

2 / 5

Actionability

Provides concrete formulas (TAM/SAM/SOM), named data sources (Gartner, Forrester, IDC, Statista), and worked numeric examples ('$10B × 0.40 × 0.30 × 0.60 = $720M'); for an instruction-only skill this is mostly executable guidance with minor gaps, matching anchor 4.

4 / 5

Workflow Clarity

A clearly sequenced 6-step process culminates in a 'Validate and Triangulate' step with validation techniques and red flags, giving most checkpoints; minor validation gaps keep it at anchor 4 rather than the explicit-feedback-loop anchor 5.

4 / 5

Progressive Disclosure

The body inlines ~400 lines of content that belongs in separate files, and 6 of 7 referenced paths (resources/implementation-playbook.md, references/methodology-deep-dive.md, references/industry-templates.md, and all three examples/*.md) do not exist on disk — broken references and heavy inlining fit anchor 2 ('content that clearly belongs in separate files is inlined') better than anchor 3.

2 / 5

Total

12

/

20

Passed

Description

61%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.

The description clearly states a specific, distinctive niche (TAM/SAM/SOM market sizing for startups) with good natural trigger terms, but it omits any explicit 'Use when...' guidance and relies on a single action verb, which limits both completeness and specificity.

Suggestions

Add an explicit 'Use when...' clause naming concrete trigger phrases (e.g., 'Use when sizing a market, estimating TAM/SAM/SOM, or preparing startup fundraising numbers').

Vary the action verbs to list several specific capabilities rather than one ('calculating') applied to three outputs.

Include common synonyms such as 'market size' and 'market opportunity' to broaden natural trigger coverage.

DimensionReasoningScore

Specificity

Quotes 'Comprehensive market sizing methodologies for calculating TAM, SAM, SOM' — it names the domain and three concrete outputs, but uses a single action verb ('calculating') rather than several distinct actions, fitting anchor 3 ('Names domain and 1-2 concrete actions') better than anchor 4 ('Lists several specific actions').

3 / 5

Completeness

Provides a clear 'what' (methodologies for calculating TAM/SAM/SOM) but no 'Use when...' or equivalent explicit trigger guidance; per the rubric guideline, a missing 'Use when' clause caps completeness at 3.

3 / 5

Trigger Term Quality

Includes natural domain terms users say — 'market sizing', 'TAM', 'SAM', 'SOM', 'startup opportunities' — giving good keyword coverage, though a few synonyms (e.g., 'market size', 'market opportunity') are missing, matching anchor 4 rather than the comprehensive anchor 5.

4 / 5

Distinctiveness Conflict Risk

The TAM/SAM/SOM market-sizing niche for startups is mostly distinct with specific triggers, but has minor overlap risk with general business-planning or strategy skills, fitting anchor 4 rather than the minimal-conflict anchor 5.

4 / 5

Total

14

/

20

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

frontmatter_unknown_keys

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

Warning

referenced_paths_exist

Referenced path issues: 2 missing

Warning

Total

14

/

16

Passed

Repository
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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