Name: market-research-reports
Rating: 75.2 (1 reviews)
Author: K-Dense-AI

market-research-reports

Build evidence-traceable market research reports and assumption-driven market sizing or forecast scenarios. Use for market definition, industry and customer evidence, competitive landscapes, TAM/SAM/SOM reconciliation, forecast sensitivity, and auditable report scaffolds.

Quality

92%

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Securityby

Passed

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The canonical home for this skill is market-research-reports in K-Dense-AI/scientific-agent-skills

Quality

Content

92%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.

A well-engineered procedural skill: dense actionable steps, embedded validation tooling, a release-gate checklist, and clean one-level-deep reference structure. The only notable cost is length — some detailed guardrail and disclosure lists could migrate to the existing references for a leaner SKILL.md.

Suggestions

Move the exhaustive measurement-guardrail and survey-disclosure field lists into references/data_analysis_patterns.md and references/methods_and_ethics.md, leaving a one-line summary in SKILL.md.

Drop the duplicate reference listing: either the inline pointers or the 'Bundled resources' index could be trimmed to save tokens without losing navigation.

Dimension	Reasoning	Score
Conciseness	Dense and imperative with zero explanation of concepts Claude already knows — every line is domain-specific directive, so it clears anchor 4. Not 5 because of minor redundancy: references are listed inline and again under 'Bundled resources', and some exhaustive field lists (measurement guardrails, survey disclosure items) could be tightened or moved to references.	4 / 5
Actionability	Copy-paste-ready bash commands with real paths at steps 3-10 (e.g. 'python3 scripts/validate_evidence_ledger.py data/source_ledger.csv'), explicit sizing formulas, and every cited bundle path verified to exist. Fully executable guidance covering the common cases — anchor 5.	5 / 5
Workflow Clarity	Ten clearly sequenced steps with explicit validation checkpoints at steps 3, 4, 5, 6, 8, and 9 (validator/audit scripts), plus a final 'Release gate' checklist. Not 4 because checkpoints are explicit and a process-wide checklist is present, matching the anchor-5 pattern.	5 / 5
Progressive Disclosure	Overview body keeps method summaries inline while pushing detail to seven well-signaled, one-level-deep references (inline pointers such as 'Use references/report_structure_guide.md' plus an indexed 'Bundled resources' section with per-file descriptions); all referenced files exist and none nest further. Easy navigation, appropriately split — anchor 5.	5 / 5
	Total	19 / 20 Passed

Description

92%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.

An exemplary description: concrete third-person verbs, an explicit 'Use for' trigger clause, and a distinct TAM/SAM/SOM-and-forecast niche. The only weakness is a handful of missing natural synonyms (e.g., 'TAM', 'market analysis') that users might phrase differently.

Suggestions

Add common user-facing synonyms to the trigger list, e.g. 'TAM/SAM/SOM (also TAM, market analysis, industry research)' to broaden natural trigger coverage.

Consider naming the deliverable formats users ask for by name (e.g., 'market reports', 'sizing decks') to catch phrasing variations.

Dimension	Reasoning	Score
Specificity	Multiple specific concrete actions with comprehensive coverage: 'Build evidence-traceable market research reports and assumption-driven market sizing or forecast scenarios' plus 'market definition, industry and customer evidence, competitive landscapes, TAM/SAM/SOM reconciliation, forecast sensitivity, and auditable report scaffolds.' Not 4 because no meaningful capability is left uncovered; the description names domain, verbs, and sub-capabilities.	5 / 5
Completeness	Sentence 1 answers 'what' (build evidence-traceable reports, market sizing/forecast scenarios) and the explicit 'Use for ...' clause answers 'when' with concrete trigger scopes — the exact anchor-5 pattern. Not 4 because the 'when' is explicit and specific rather than merely present.	5 / 5
Trigger Term Quality	Good natural-term coverage ('market research', 'market sizing', 'TAM/SAM/SOM', 'competitive landscape', 'forecast sensitivity') but missing common synonyms users would actually say, e.g. 'TAM', 'market analysis', 'industry research', 'market entry'. Fits anchor 4 ('good keyword coverage; a few natural terms missing'), not 5 which requires comprehensive synonyms/extensions.	4 / 5
Distinctiveness Conflict Risk	Clear niche (evidence-traceable market research and sizing) with domain-distinct triggers like TAM/SAM/SOM reconciliation and forecast sensitivity, giving minimal overlap risk with general research or analysis skills. Not 4 because the triggers are technical and specific enough to avoid even minor conflicts.	5 / 5
	Total	19 / 20 Passed

Validation

100%

Warnings & errors only

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

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: K-Dense-AI/claude-scientific-writer
Path: .claude/skills/market-research-reports/SKILL.md
Commit: 529b9f7

Reviewed: 13 hours ago

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