{"owner":"camel-ai","repo":"camel","hasSkills":true,"totalSkillsCount":4,"totalTokensCount":839,"categories":["anthropic-skill"],"hasMcp":true,"mcpConfig":{"mcpServers":{"calculator":{"command":"python","args":["examples/agents/mcp_agent/calculator_server.py"]}},"mcpWebServers":{}},"found":[".camel/skills/skill-creator/references/output-patterns.md","examples/agents/mcp_agent/mcp_servers_config.json","examples/toolkits/skill_toolkit_example/.camel/skills/data-analyzer/SKILL.md","examples/toolkits/skill_toolkit_example/.camel/skills/code-reviewer/SKILL.md"],"skills":{".camel/skills/skill-creator/references/output-patterns.md":"# Output Patterns\n\nUse these patterns when skills need to produce consistent, high-quality output.\n\n## Template Pattern\n\nProvide templates for output format. Match the level of strictness to your needs.\n\n**For strict requirements (like API responses or data formats):**\n\n```markdown\n## Report structure\n\nALWAYS use this exact template structure:\n\n# [Analysis Title]\n\n## Executive summary\n[One-paragraph overview of key findings]\n\n## Key findings\n- Finding 1 with supporting data\n- Finding 2 with supporting data\n- Finding 3 with supporting data\n\n## Recommendations\n1. Specific actionable recommendation\n2. Specific actionable recommendation\n```\n\n**For flexible guidance (when adaptation is useful):**\n\n```markdown\n## Report structure\n\nHere is a sensible default format, but use your best judgment:\n\n# [Analysis Title]\n\n## Executive summary\n[Overview]\n\n## Key findings\n[Adapt sections based on what you discover]\n\n## Recommendations\n[Tailor to the specific context]\n\nAdjust sections as needed for the specific analysis type.\n```\n\n## Examples Pattern\n\nFor skills where output quality depends on seeing examples, provide input/output pairs:\n\n```markdown\n## Commit message format\n\nGenerate commit messages following these examples:\n\n**Example 1:**\nInput: Added user authentication with JWT tokens\nOutput:\n```\nfeat(auth): implement JWT-based authentication\n\nAdd login endpoint and token validation middleware\n```\n\n**Example 2:**\nInput: Fixed bug where dates displayed incorrectly in reports\nOutput:\n```\nfix(reports): correct date formatting in timezone conversion\n\nUse UTC timestamps consistently across report generation\n```\n\nFollow this style: type(scope): brief description, then detailed explanation.\n```\n\nExamples help agent understand the desired style and level of detail more clearly than descriptions alone.\n","examples/agents/mcp_agent/mcp_servers_config.json":"{\n  \"mcpServers\": {\n    \"calculator\": {\n      \"command\": \"python\",\n      \"args\": [\n        \"examples/agents/mcp_agent/calculator_server.py\"\n      ]\n    }\n  },\n  \"mcpWebServers\": {}\n}\n","examples/toolkits/skill_toolkit_example/.camel/skills/data-analyzer/SKILL.md":"---\nname: data-analyzer\ndescription: Analyze datasets and extract insights. Use when user needs to understand data patterns, statistics, or trends.\n---\n\n# Data Analyzer\n\nAnalyze data and provide statistical insights.\n\n## Workflow\n\n1. Load and inspect the data structure\n2. Compute basic statistics (mean, median, std, min, max)\n3. Identify patterns and anomalies\n4. Summarize key findings\n\n## Output Format\n\nProvide analysis in this structure:\n\n```\n## Data Overview\n- Total records: X\n- Columns: [list]\n\n## Key Statistics\n| Metric | Value |\n|--------|-------|\n| ...    | ...   |\n\n## Insights\n- Finding 1\n- Finding 2\n```\n\n## Guidelines\n\n- Always validate data types before analysis\n- Handle missing values explicitly\n- Report confidence levels for statistical claims\n","examples/toolkits/skill_toolkit_example/.camel/skills/code-reviewer/SKILL.md":"---\nname: code-reviewer\ndescription: Review code for quality, bugs, and improvements. Use when user wants code review or quality assessment.\n---\n\n# Code Reviewer\n\nPerform thorough code reviews focusing on quality and correctness.\n\n## Review Checklist\n\n1. **Correctness** - Does the code do what it's supposed to?\n2. **Readability** - Is the code easy to understand?\n3. **Performance** - Are there any obvious inefficiencies?\n4. **Security** - Are there potential vulnerabilities?\n5. **Best Practices** - Does it follow language conventions?\n\n## Output Format\n\n```markdown\n## Code Review Summary\n\n**Overall Assessment**: [Good/Needs Work/Critical Issues]\n\n### Issues Found\n| Severity | Line | Issue | Suggestion |\n|----------|------|-------|------------|\n| High     | 42   | ...   | ...        |\n\n### Positive Aspects\n- [What's done well]\n\n### Recommendations\n1. [Priority fix 1]\n2. [Priority fix 2]\n```\n\n## Severity Levels\n\n- **Critical**: Security issues, data loss risks\n- **High**: Bugs, incorrect logic\n- **Medium**: Performance issues, code smells\n- **Low**: Style issues, minor improvements\n"},"files":{".camel/skills/skill-creator/references/output-patterns.md":"# Output Patterns\n\nUse these patterns when skills need to produce consistent, high-quality output.\n\n## Template Pattern\n\nProvide templates for output format. Match the level of strictness to your needs.\n\n**For strict requirements (like API responses or data formats):**\n\n```markdown\n## Report structure\n\nALWAYS use this exact template structure:\n\n# [Analysis Title]\n\n## Executive summary\n[One-paragraph overview of key findings]\n\n## Key findings\n- Finding 1 with supporting data\n- Finding 2 with supporting data\n- Finding 3 with supporting data\n\n## Recommendations\n1. Specific actionable recommendation\n2. Specific actionable recommendation\n```\n\n**For flexible guidance (when adaptation is useful):**\n\n```markdown\n## Report structure\n\nHere is a sensible default format, but use your best judgment:\n\n# [Analysis Title]\n\n## Executive summary\n[Overview]\n\n## Key findings\n[Adapt sections based on what you discover]\n\n## Recommendations\n[Tailor to the specific context]\n\nAdjust sections as needed for the specific analysis type.\n```\n\n## Examples Pattern\n\nFor skills where output quality depends on seeing examples, provide input/output pairs:\n\n```markdown\n## Commit message format\n\nGenerate commit messages following these examples:\n\n**Example 1:**\nInput: Added user authentication with JWT tokens\nOutput:\n```\nfeat(auth): implement JWT-based authentication\n\nAdd login endpoint and token validation middleware\n```\n\n**Example 2:**\nInput: Fixed bug where dates displayed incorrectly in reports\nOutput:\n```\nfix(reports): correct date formatting in timezone conversion\n\nUse UTC timestamps consistently across report generation\n```\n\nFollow this style: type(scope): brief description, then detailed explanation.\n```\n\nExamples help agent understand the desired style and level of detail more clearly than descriptions alone.\n","examples/agents/mcp_agent/mcp_servers_config.json":"{\n  \"mcpServers\": {\n    \"calculator\": {\n      \"command\": \"python\",\n      \"args\": [\n        \"examples/agents/mcp_agent/calculator_server.py\"\n      ]\n    }\n  },\n  \"mcpWebServers\": {}\n}\n","examples/toolkits/skill_toolkit_example/.camel/skills/data-analyzer/SKILL.md":"---\nname: data-analyzer\ndescription: Analyze datasets and extract insights. Use when user needs to understand data patterns, statistics, or trends.\n---\n\n# Data Analyzer\n\nAnalyze data and provide statistical insights.\n\n## Workflow\n\n1. Load and inspect the data structure\n2. Compute basic statistics (mean, median, std, min, max)\n3. Identify patterns and anomalies\n4. Summarize key findings\n\n## Output Format\n\nProvide analysis in this structure:\n\n```\n## Data Overview\n- Total records: X\n- Columns: [list]\n\n## Key Statistics\n| Metric | Value |\n|--------|-------|\n| ...    | ...   |\n\n## Insights\n- Finding 1\n- Finding 2\n```\n\n## Guidelines\n\n- Always validate data types before analysis\n- Handle missing values explicitly\n- Report confidence levels for statistical claims\n","examples/toolkits/skill_toolkit_example/.camel/skills/code-reviewer/SKILL.md":"---\nname: code-reviewer\ndescription: Review code for quality, bugs, and improvements. Use when user wants code review or quality assessment.\n---\n\n# Code Reviewer\n\nPerform thorough code reviews focusing on quality and correctness.\n\n## Review Checklist\n\n1. **Correctness** - Does the code do what it's supposed to?\n2. **Readability** - Is the code easy to understand?\n3. **Performance** - Are there any obvious inefficiencies?\n4. **Security** - Are there potential vulnerabilities?\n5. **Best Practices** - Does it follow language conventions?\n\n## Output Format\n\n```markdown\n## Code Review Summary\n\n**Overall Assessment**: [Good/Needs Work/Critical Issues]\n\n### Issues Found\n| Severity | Line | Issue | Suggestion |\n|----------|------|-------|------------|\n| High     | 42   | ...   | ...        |\n\n### Positive Aspects\n- [What's done well]\n\n### Recommendations\n1. [Priority fix 1]\n2. [Priority fix 2]\n```\n\n## Severity Levels\n\n- **Critical**: Security issues, data loss risks\n- **High**: Bugs, incorrect logic\n- **Medium**: Performance issues, code smells\n- **Low**: Style issues, minor improvements\n"},"items":[{"name":"output-patterns.md","path":".camel/skills/skill-creator/references/output-patterns.md","rawUrl":"https://raw.githubusercontent.com/camel-ai/camel/HEAD/.camel/skills/skill-creator/references/output-patterns.md","title":"References Skill","category":"anthropic-skill","format":"markdown","content":"# Output Patterns\n\nUse these patterns when skills need to produce consistent, high-quality output.\n\n## Template Pattern\n\nProvide templates for output format. Match the level of strictness to your needs.\n\n**For strict requirements (like API responses or data formats):**\n\n```markdown\n## Report structure\n\nALWAYS use this exact template structure:\n\n# [Analysis Title]\n\n## Executive summary\n[One-paragraph overview of key findings]\n\n## Key findings\n- Finding 1 with supporting data\n- Finding 2 with supporting data\n- Finding 3 with supporting data\n\n## Recommendations\n1. Specific actionable recommendation\n2. Specific actionable recommendation\n```\n\n**For flexible guidance (when adaptation is useful):**\n\n```markdown\n## Report structure\n\nHere is a sensible default format, but use your best judgment:\n\n# [Analysis Title]\n\n## Executive summary\n[Overview]\n\n## Key findings\n[Adapt sections based on what you discover]\n\n## Recommendations\n[Tailor to the specific context]\n\nAdjust sections as needed for the specific analysis type.\n```\n\n## Examples Pattern\n\nFor skills where output quality depends on seeing examples, provide input/output pairs:\n\n```markdown\n## Commit message format\n\nGenerate commit messages following these examples:\n\n**Example 1:**\nInput: Added user authentication with JWT tokens\nOutput:\n```\nfeat(auth): implement JWT-based authentication\n\nAdd login endpoint and token validation middleware\n```\n\n**Example 2:**\nInput: Fixed bug where dates displayed incorrectly in reports\nOutput:\n```\nfix(reports): correct date formatting in timezone conversion\n\nUse UTC timestamps consistently across report generation\n```\n\nFollow this style: type(scope): brief description, then detailed explanation.\n```\n\nExamples help agent understand the desired style and level of detail more clearly than descriptions alone.\n","isInternal":false,"tokens":355,"sizeBytes":1812},{"name":"mcp_servers_config.json","path":"examples/agents/mcp_agent/mcp_servers_config.json","rawUrl":"https://raw.githubusercontent.com/camel-ai/camel/HEAD/examples/agents/mcp_agent/mcp_servers_config.json","title":"Mcp_agent Skill","category":"anthropic-skill","format":"json","content":"{\n  \"mcpServers\": {\n    \"calculator\": {\n      \"command\": \"python\",\n      \"args\": [\n        \"examples/agents/mcp_agent/calculator_server.py\"\n      ]\n    }\n  },\n  \"mcpWebServers\": {}\n}\n","frontmatter":{"mcpServers":{"calculator":{"command":"python","args":["examples/agents/mcp_agent/calculator_server.py"]}},"mcpWebServers":{}},"isInternal":false,"tokens":53,"sizeBytes":183},{"name":"SKILL.md","path":"examples/toolkits/skill_toolkit_example/.camel/skills/code-reviewer/SKILL.md","rawUrl":"https://raw.githubusercontent.com/camel-ai/camel/HEAD/examples/toolkits/skill_toolkit_example/.camel/skills/code-reviewer/SKILL.md","title":"code-reviewer","category":"anthropic-skill","format":"markdown","content":"---\nname: code-reviewer\ndescription: Review code for quality, bugs, and improvements. Use when user wants code review or quality assessment.\n---\n\n# Code Reviewer\n\nPerform thorough code reviews focusing on quality and correctness.\n\n## Review Checklist\n\n1. **Correctness** - Does the code do what it's supposed to?\n2. **Readability** - Is the code easy to understand?\n3. **Performance** - Are there any obvious inefficiencies?\n4. **Security** - Are there potential vulnerabilities?\n5. **Best Practices** - Does it follow language conventions?\n\n## Output Format\n\n```markdown\n## Code Review Summary\n\n**Overall Assessment**: [Good/Needs Work/Critical Issues]\n\n### Issues Found\n| Severity | Line | Issue | Suggestion |\n|----------|------|-------|------------|\n| High     | 42   | ...   | ...        |\n\n### Positive Aspects\n- [What's done well]\n\n### Recommendations\n1. [Priority fix 1]\n2. [Priority fix 2]\n```\n\n## Severity Levels\n\n- **Critical**: Security issues, data loss risks\n- **High**: Bugs, incorrect logic\n- **Medium**: Performance issues, code smells\n- **Low**: Style issues, minor improvements\n","frontmatter":{"name":"code-reviewer","description":"Review code for quality, bugs, and improvements. Use when user wants code review or quality assessment."},"isInternal":false,"tokens":256,"sizeBytes":1097},{"name":"SKILL.md","path":"examples/toolkits/skill_toolkit_example/.camel/skills/data-analyzer/SKILL.md","rawUrl":"https://raw.githubusercontent.com/camel-ai/camel/HEAD/examples/toolkits/skill_toolkit_example/.camel/skills/data-analyzer/SKILL.md","title":"data-analyzer","category":"anthropic-skill","format":"markdown","content":"---\nname: data-analyzer\ndescription: Analyze datasets and extract insights. Use when user needs to understand data patterns, statistics, or trends.\n---\n\n# Data Analyzer\n\nAnalyze data and provide statistical insights.\n\n## Workflow\n\n1. Load and inspect the data structure\n2. Compute basic statistics (mean, median, std, min, max)\n3. Identify patterns and anomalies\n4. Summarize key findings\n\n## Output Format\n\nProvide analysis in this structure:\n\n```\n## Data Overview\n- Total records: X\n- Columns: [list]\n\n## Key Statistics\n| Metric | Value |\n|--------|-------|\n| ...    | ...   |\n\n## Insights\n- Finding 1\n- Finding 2\n```\n\n## Guidelines\n\n- Always validate data types before analysis\n- Handle missing values explicitly\n- Report confidence levels for statistical claims\n","frontmatter":{"name":"data-analyzer","description":"Analyze datasets and extract insights. Use when user needs to understand data patterns, statistics, or trends."},"isInternal":false,"tokens":175,"sizeBytes":766}],"systemPromptSnippet":"<yakaai_skills repo=\"camel-ai/camel\">\n<!-- File: .camel/skills/skill-creator/references/output-patterns.md (Tokens: ~355 | Category: anthropic-skill) -->\n# Output Patterns\n\nUse these patterns when skills need to produce consistent, high-quality output.\n\n## Template Pattern\n\nProvide templates for output format. Match the level of strictness to your needs.\n\n**For strict requirements (like API responses or data formats):**\n\n```markdown\n## Report structure\n\nALWAYS use this exact template structure:\n\n# [Analysis Title]\n\n## Executive summary\n[One-paragraph overview of key findings]\n\n## Key findings\n- Finding 1 with supporting data\n- Finding 2 with supporting data\n- Finding 3 with supporting data\n\n## Recommendations\n1. Specific actionable recommendation\n2. Specific actionable recommendation\n```\n\n**For flexible guidance (when adaptation is useful):**\n\n```markdown\n## Report structure\n\nHere is a sensible default format, but use your best judgment:\n\n# [Analysis Title]\n\n## Executive summary\n[Overview]\n\n## Key findings\n[Adapt sections based on what you discover]\n\n## Recommendations\n[Tailor to the specific context]\n\nAdjust sections as needed for the specific analysis type.\n```\n\n## Examples Pattern\n\nFor skills where output quality depends on seeing examples, provide input/output pairs:\n\n```markdown\n## Commit message format\n\nGenerate commit messages following these examples:\n\n**Example 1:**\nInput: Added user authentication with JWT tokens\nOutput:\n```\nfeat(auth): implement JWT-based authentication\n\nAdd login endpoint and token validation middleware\n```\n\n**Example 2:**\nInput: Fixed bug where dates displayed incorrectly in reports\nOutput:\n```\nfix(reports): correct date formatting in timezone conversion\n\nUse UTC timestamps consistently across report generation\n```\n\nFollow this style: type(scope): brief description, then detailed explanation.\n```\n\nExamples help agent understand the desired style and level of detail more clearly than descriptions alone.\n\n<!-- File: examples/agents/mcp_agent/mcp_servers_config.json (Tokens: ~53 | Category: anthropic-skill) -->\n{\n  \"mcpServers\": {\n    \"calculator\": {\n      \"command\": \"python\",\n      \"args\": [\n        \"examples/agents/mcp_agent/calculator_server.py\"\n      ]\n    }\n  },\n  \"mcpWebServers\": {}\n}\n\n<!-- File: examples/toolkits/skill_toolkit_example/.camel/skills/code-reviewer/SKILL.md (Tokens: ~256 | Category: anthropic-skill) -->\n---\nname: code-reviewer\ndescription: Review code for quality, bugs, and improvements. Use when user wants code review or quality assessment.\n---\n\n# Code Reviewer\n\nPerform thorough code reviews focusing on quality and correctness.\n\n## Review Checklist\n\n1. **Correctness** - Does the code do what it's supposed to?\n2. **Readability** - Is the code easy to understand?\n3. **Performance** - Are there any obvious inefficiencies?\n4. **Security** - Are there potential vulnerabilities?\n5. **Best Practices** - Does it follow language conventions?\n\n## Output Format\n\n```markdown\n## Code Review Summary\n\n**Overall Assessment**: [Good/Needs Work/Critical Issues]\n\n### Issues Found\n| Severity | Line | Issue | Suggestion |\n|----------|------|-------|------------|\n| High     | 42   | ...   | ...        |\n\n### Positive Aspects\n- [What's done well]\n\n### Recommendations\n1. [Priority fix 1]\n2. [Priority fix 2]\n```\n\n## Severity Levels\n\n- **Critical**: Security issues, data loss risks\n- **High**: Bugs, incorrect logic\n- **Medium**: Performance issues, code smells\n- **Low**: Style issues, minor improvements\n\n<!-- File: examples/toolkits/skill_toolkit_example/.camel/skills/data-analyzer/SKILL.md (Tokens: ~175 | Category: anthropic-skill) -->\n---\nname: data-analyzer\ndescription: Analyze datasets and extract insights. Use when user needs to understand data patterns, statistics, or trends.\n---\n\n# Data Analyzer\n\nAnalyze data and provide statistical insights.\n\n## Workflow\n\n1. Load and inspect the data structure\n2. Compute basic statistics (mean, median, std, min, max)\n3. Identify patterns and anomalies\n4. Summarize key findings\n\n## Output Format\n\nProvide analysis in this structure:\n\n```\n## Data Overview\n- Total records: X\n- Columns: [list]\n\n## Key Statistics\n| Metric | Value |\n|--------|-------|\n| ...    | ...   |\n\n## Insights\n- Finding 1\n- Finding 2\n```\n\n## Guidelines\n\n- Always validate data types before analysis\n- Handle missing values explicitly\n- Report confidence levels for statistical claims\n</yakaai_skills>"}