requesthunt
Generate user demand research reports from real user feedback. Scrape and analyze feature requests, complaints, and questions from Reddit, X, and GitHub. Use when user wants to do demand research, find feature requests, analyze user demand, or run RequestHunt queries.
Install with Tessl CLI
npx tessl i github:resciencelab/opc-skills --skill requesthunt95
Does it follow best practices?
Agent success when using this skill
Validation for skill structure
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 a well-crafted skill description that excels across all dimensions. It clearly specifies concrete actions (scraping, analyzing, generating reports), names specific platforms, and includes an explicit 'Use when...' clause with natural trigger terms. The mention of 'RequestHunt queries' provides a unique identifier that further reduces conflict risk.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'Generate user demand research reports', 'Scrape and analyze feature requests, complaints, and questions' from specific platforms (Reddit, X, GitHub). | 3 / 3 |
Completeness | Clearly answers both what (generate reports, scrape and analyze feedback from platforms) AND when with explicit 'Use when...' clause listing specific trigger scenarios. | 3 / 3 |
Trigger Term Quality | Includes natural keywords users would say: 'demand research', 'feature requests', 'analyze user demand', 'RequestHunt queries', plus platform names (Reddit, X, GitHub) that users would mention. | 3 / 3 |
Distinctiveness Conflict Risk | Clear niche focused on user demand research from specific social platforms with distinct triggers like 'RequestHunt queries' and 'feature requests' - unlikely to conflict with general research or analytics skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
87%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-crafted skill that efficiently teaches Claude how to generate user demand research reports. The content is concise, actionable with executable commands, and well-organized. The main weakness is the lack of explicit validation steps in the workflow - there's no guidance on verifying successful data collection or handling API errors before proceeding to report generation.
Suggestions
Add validation checkpoint after Step 2 (e.g., 'Verify data collection: Check that scripts returned results before proceeding. If empty results, try broader search terms or different platforms.')
Include error handling guidance for common API failures (rate limits exceeded, invalid API key, network errors)
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is lean and efficient, providing only necessary information without explaining concepts Claude already knows. No verbose explanations of what APIs are or how Python works. | 3 / 3 |
Actionability | Provides fully executable bash commands with clear examples, copy-paste ready code snippets, and concrete command variations for different use cases. | 3 / 3 |
Workflow Clarity | Clear 3-step workflow with logical sequence, but lacks explicit validation checkpoints. No verification step after scraping to confirm data was collected, or error handling guidance if API calls fail. | 2 / 3 |
Progressive Disclosure | Well-organized with clear sections: prerequisites, workflow, commands, and API info. Content is appropriately structured for a skill of this complexity without unnecessary external file references. | 3 / 3 |
Total | 11 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
- Reviewed
Table of Contents
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.