tdg-personal/market-research
Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.
82
82%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
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 articulates specific capabilities and includes an explicit 'Use when' clause with natural trigger terms. The description covers both what the skill does and when to use it effectively. The only minor weakness is that some terms like 'research' and 'business decisions' are broad enough to potentially overlap with other research-oriented skills.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: market research, competitive analysis, investor due diligence, industry intelligence, source attribution, and decision-oriented summaries. These are distinct, concrete capabilities. | 3 / 3 |
Completeness | Clearly answers both 'what' (conduct market research, competitive analysis, investor due diligence, industry intelligence with source attribution and decision-oriented summaries) and 'when' (explicit 'Use when' clause listing market sizing, competitor comparisons, fund research, technology scans, or research informing business decisions). | 3 / 3 |
Trigger Term Quality | Includes strong natural keywords users would say: 'market sizing', 'competitor comparisons', 'fund research', 'technology scans', 'business decisions', 'market research', 'competitive analysis', 'due diligence'. These cover a good range of natural user language. | 3 / 3 |
Distinctiveness Conflict Risk | While the description carves out a business research niche, terms like 'research' and 'industry intelligence' are broad enough to potentially overlap with general research or data analysis skills. The combination of market/competitive/investor focus helps but 'research that informs business decisions' is quite wide. | 2 / 3 |
Total | 11 / 12 Passed |
Implementation
64%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured, concise skill that clearly defines research standards and output expectations. Its main weakness is the lack of concrete examples—a sample executive summary, a TAM calculation walkthrough, or a competitor analysis snippet would significantly improve actionability. The quality gate is a good validation mechanism but the research modes lack workflow sequencing for handling ambiguity or conflicting data.
Suggestions
Add a concrete example of at least one research mode output (e.g., a brief sample competitive analysis or TAM estimate with sources) to make the skill more actionable and copy-paste ready.
Include guidance on what to do when data is conflicting, unavailable, or stale—a feedback loop for research iteration would improve workflow clarity.
Consider adding a brief example of the output format filled in for a specific scenario to show the expected level of detail and source attribution.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and well-structured. Every section earns its place—no unnecessary explanations of what market research is or how Claude should think about it. Bullet points are tight and directive. | 3 / 3 |
Actionability | The skill provides clear checklists of what to collect and what to include, but lacks concrete examples—no sample output, no example TAM calculation, no template showing what a completed deliverable looks like. It describes what to do rather than showing it. | 2 / 3 |
Workflow Clarity | The output format section provides a clear sequence, and the quality gate serves as a validation checkpoint. However, the research modes are presented as independent collection lists without sequencing or feedback loops—there's no guidance on how to iterate when sources conflict or data is insufficient. | 2 / 3 |
Progressive Disclosure | The content is well-organized with clear sections and headers, but everything is inline in a single file. The four research modes could benefit from being split into separate reference files, especially if they were fleshed out with examples. For the current length (~80 lines) it's borderline acceptable but the research modes add bulk that could be externalized. | 2 / 3 |
Total | 9 / 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 | |
Reviewed
Table of Contents