trend-researcher
Conducts market research, competitor analysis, industry trend identification, and opportunity assessments. Researches market size (TAM/SAM/SOM), compares competitor products and pricing, generates SWOT analyses, identifies emerging signals in a given industry, and produces structured trend briefs or competitive landscape reports. Use when the user asks about market research, competitor comparison, industry analysis, market sizing, product opportunity assessment, consumer behavior research, technology scouting, or investment trend analysis.
87
84%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Quality
Discovery
92%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 a strong skill description that clearly enumerates specific capabilities, provides rich natural trigger terms, and includes an explicit 'Use when...' clause. The only minor weakness is potential overlap with adjacent business analysis or financial analysis skills due to the breadth of covered topics like 'investment trend analysis' and 'technology scouting'.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: market research, competitor analysis, market sizing (TAM/SAM/SOM), SWOT analyses, trend briefs, competitive landscape reports, and more. Very comprehensive enumeration of capabilities. | 3 / 3 |
Completeness | Clearly answers both 'what' (conducts market research, competitor analysis, SWOT analyses, trend briefs, etc.) and 'when' with an explicit 'Use when...' clause listing eight distinct trigger scenarios. | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural terms users would say: 'market research', 'competitor comparison', 'industry analysis', 'market sizing', 'product opportunity assessment', 'consumer behavior research', 'technology scouting', 'investment trend analysis', 'SWOT', 'TAM/SAM/SOM'. These are all terms users would naturally use. | 3 / 3 |
Distinctiveness Conflict Risk | While the market research and competitive analysis focus is fairly specific, terms like 'industry analysis', 'technology scouting', and 'investment trend analysis' could overlap with skills focused on financial analysis, technology evaluation, or general business strategy. The niche is reasonably clear but not perfectly distinct. | 2 / 3 |
Total | 11 / 12 Passed |
Implementation
77%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, highly actionable skill with excellent workflow clarity and validation checkpoints across all four research workflows. Its main weakness is length — the four complete workflows with full output templates make it a substantial document that could benefit from progressive disclosure via external references. The content is well-structured and avoids explaining things Claude already knows, though some cross-workflow redundancy could be reduced.
Suggestions
Consider moving the detailed output templates to a separate TEMPLATES.md file and referencing them from the main skill, keeping only a brief description of expected output format inline.
Consolidate the repeated validation checkpoint pattern into a single 'Validation Standards' section referenced by each workflow, reducing redundancy across the four workflows.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is reasonably efficient but includes some redundancy across the four workflows (repeated validation checkpoint patterns, similar output template structures). The output templates are valuable but add length; some sections like 'Consumer & Segment Insights' could be tightened. It doesn't explain concepts Claude already knows, which is good, but the overall length (~200+ lines) could be trimmed. | 2 / 3 |
Actionability | Each workflow provides concrete, specific steps with clear triggers, numbered procedures, specific tools to use (WebSearch, WebFetch, G2/Capterra), exact output templates with table structures, and precise thresholds (e.g., 'differ by more than 2×', 'at least 2 independent sources'). The guidance is highly specific and directly executable. | 3 / 3 |
Workflow Clarity | All four workflows have clearly sequenced steps with explicit validation checkpoints (marked in bold). Each includes specific criteria for when validation passes or fails (e.g., source count thresholds, discrepancy flags in market sizing). The signal strength classification system in Trend Identification provides a clear decision framework. | 3 / 3 |
Progressive Disclosure | The content is well-structured with clear section headers and workflow separation, but it's a monolithic file with no references to external files for detailed guidance. The output templates, while useful, make the file quite long. The Research Quality Standards section at the end is a good organizational choice, but the four full workflows with templates could benefit from being split into referenced files. | 2 / 3 |
Total | 10 / 12 Passed |
Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 10 / 11 Passed | |
- Repository
- OpenRoster-ai/awesome-agents
- Commit
010799b
- Reviewed
Table of Contents
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