analyzing-market-sentiment
Analyze cryptocurrency market sentiment using Fear & Greed Index, news analysis, and market momentum. Use when gauging overall market mood, checking if markets are fearful or greedy, or analyzing sentiment for specific coins. Trigger with phrases like "analyze crypto sentiment", "check market mood", "is the market fearful", "sentiment for Bitcoin", or "Fear and Greed index".
Install with Tessl CLI
npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill analyzing-market-sentiment85
Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillValidation 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 provides specific capabilities (Fear & Greed Index, news analysis, market momentum), includes comprehensive trigger terms that users would naturally say, and clearly distinguishes itself as a cryptocurrency sentiment analysis tool. The explicit 'Use when...' and 'Trigger with phrases like...' clauses make it easy for Claude to know exactly when to select this skill.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'Analyze cryptocurrency market sentiment using Fear & Greed Index, news analysis, and market momentum.' These are distinct, concrete capabilities. | 3 / 3 |
Completeness | Clearly answers both what (analyze sentiment using Fear & Greed Index, news analysis, market momentum) AND when (explicit 'Use when...' clause plus 'Trigger with phrases like...' providing concrete examples). | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural terms users would say: 'analyze crypto sentiment', 'check market mood', 'is the market fearful', 'sentiment for Bitcoin', 'Fear and Greed index', plus variations like 'fearful or greedy' and 'specific coins'. | 3 / 3 |
Distinctiveness Conflict Risk | Clear niche focused specifically on cryptocurrency sentiment analysis with distinct triggers like 'Fear and Greed index', 'crypto sentiment', and 'market mood' that are unlikely to conflict with general finance or trading skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill provides solid actionable guidance with executable commands and good progressive disclosure to reference files. However, it could be more concise by removing explanatory text Claude doesn't need, and the workflow would benefit from explicit validation steps to verify successful API responses and data quality before presenting results.
Suggestions
Remove the 'Key Capabilities' bullet list and 'Interpretation' text in output examples - Claude can infer these from the actual content
Add validation step after running the analyzer (e.g., 'Verify output contains all three components before presenting to user')
Trim the Prerequisites section - Claude knows what Python and pip are; just list the requirements
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill includes some unnecessary explanation (e.g., 'Key Capabilities' list, 'Interpretation' text in output examples) and could be tightened. The prerequisites section explains basic concepts Claude already knows. | 2 / 3 |
Actionability | Provides fully executable bash commands with clear options, complete command-line reference table, and concrete output examples in multiple formats. Commands are copy-paste ready. | 3 / 3 |
Workflow Clarity | Steps are listed (Assess Intent → Execute → Present) but lack validation checkpoints. No explicit verification that the script ran successfully or guidance on handling partial failures during multi-component analysis. | 2 / 3 |
Progressive Disclosure | Well-structured with clear overview, appropriately references external files (errors.md, examples.md, settings.yaml) at one level deep, and keeps the main skill focused on essential usage patterns. | 3 / 3 |
Total | 10 / 12 Passed |
Validation
81%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 13 / 16 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
metadata_version | 'metadata' field is not a dictionary | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 13 / 16 Passed | |
- 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.