[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6G69PQMH2AVBDJ45ZNF4DPP":3,"skill-same:01M6G69PQMH2AVBDJ45ZNF4DPP":89},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":22,"publishedAt":43,"linkOnly":44,"markdownContent":45,"markdownBody":46,"frontMatter":47,"refName":48,"commitSha":49,"skillDirectory":50,"forksCount":51,"repositoryHtmlUrl":52,"repositoryHomepageUrl":6,"ownerHtmlUrl":53,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":54,"install":55,"resources":68},"01M6G69PQMH2AVBDJ45ZNF4DPP","job-auto-apply",null,"Automated job search and application system for Clawdbot. Use when the user wants to search for jobs and automatically apply to positions matching their criteria. Handles job searching across LinkedIn, Indeed, Glassdoor, ZipRecruiter, and Wellfound, generates tailored cover letters, fills application forms, and tracks application status. Use when user says things like \"find and apply to jobs\", \"auto-apply for [job title]\", \"search for [position] jobs and apply\", or \"help me apply to multiple jobs automatically\".","kbarbel640-del\u002Fskills","kbarbel640-del","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F255315490?v=4","01M6CJPPQGCCESXMG3K7BBGQ5J","01M6CJPPX2PB2BCZERFVM2C2B3",1,"MIT","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fveeky-kumar\u002Fjob-auto-apply\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42],"auto","job auto apply","jobs","tracks","position","matching","positions","across","me","forms","clawdbot","status","use","user","find","linkedin","system","Job Search","search","help","2026-11-10 10:12:30",false,"---\nname: job-auto-apply\ndescription: Automated job search and application system for Clawdbot. Use when the user wants to search for jobs and automatically apply to positions matching their criteria. Handles job searching across LinkedIn, Indeed, Glassdoor, ZipRecruiter, and Wellfound, generates tailored cover letters, fills application forms, and tracks application status. Use when user says things like \"find and apply to jobs\", \"auto-apply for [job title]\", \"search for [position] jobs and apply\", or \"help me apply to multiple jobs automatically\".\n---\n\n# Job Auto-Apply Skill\n\nAutomate job searching and application submission across multiple job platforms using Clawdbot.\n\n## Overview\n\nThis skill enables automated job search and application workflows. It searches for jobs matching user criteria, analyzes compatibility, generates tailored cover letters, and submits applications automatically or with user confirmation.\n\n**Supported Platforms:**\n- LinkedIn (including Easy Apply)\n- Indeed\n- Glassdoor\n- ZipRecruiter\n- Wellfound (AngelList)\n\n## Quick Start\n\n### 1. Set Up User Profile\n\nFirst, create a user profile using the template:\n\n```bash\n# Copy the profile template\ncp profile_template.json ~\u002Fjob_profile.json\n\n# Edit with user's information\n# Fill in: name, email, phone, resume path, skills, preferences\n```\n\n### 2. Run Job Search and Apply\n\n```bash\n# Basic usage - search and apply (dry run)\npython job_search_apply.py \\\n  --title \"Software Engineer\" \\\n  --location \"San Francisco, CA\" \\\n  --remote \\\n  --max-applications 10 \\\n  --dry-run\n\n# With profile file\npython job_search_apply.py \\\n  --profile ~\u002Fjob_profile.json \\\n  --title \"Backend Engineer\" \\\n  --platforms linkedin,indeed \\\n  --auto-apply\n\n# Production mode (actual applications)\npython job_search_apply.py \\\n  --profile ~\u002Fjob_profile.json \\\n  --title \"Senior Developer\" \\\n  --no-dry-run \\\n  --require-confirmation\n```\n\n## Workflow Steps\n\n### Step 1: Profile Configuration\n\nLoad the user's profile from the template or create programmatically:\n\n```python\nfrom job_search_apply import ApplicantProfile\n\nprofile = ApplicantProfile(\n    full_name=\"Jane Doe\",\n    email=\"jane@example.com\",\n    phone=\"+1234567890\",\n    resume_path=\"~\u002FDocuments\u002Fresume.pdf\",\n    linkedin_url=\"https:\u002F\u002Flinkedin.com\u002Fin\u002Fjanedoe\",\n    years_experience=5,\n    authorized_to_work=True,\n    requires_sponsorship=False\n)\n```\n\n### Step 2: Define Search Parameters\n\n```python\nfrom job_search_apply import JobSearchParams, JobPlatform\n\nsearch_params = JobSearchParams(\n    title=\"Software Engineer\",\n    location=\"Remote\",\n    remote=True,\n    experience_level=\"mid\",\n    job_type=\"full-time\",\n    salary_min=100000,\n    platforms=[JobPlatform.LINKEDIN, JobPlatform.INDEED]\n)\n```\n\n### Step 3: Run Automated Application\n\n```python\nfrom job_search_apply import auto_apply_workflow\n\nresults = auto_apply_workflow(\n    search_params=search_params,\n    profile=profile,\n    max_applications=10,\n    min_match_score=0.75,\n    dry_run=False,\n    require_confirmation=True\n)\n```\n\n## Integration with Clawdbot\n\n### Using as a Clawdbot Tool\n\nWhen installed as a Clawdbot skill, invoke via natural language:\n\n**Example prompts:**\n- \"Find and apply to Python developer jobs in San Francisco\"\n- \"Search for remote backend engineer positions and apply to the top 5 matches\"\n- \"Auto-apply to senior software engineer roles with 100k+ salary\"\n- \"Apply to jobs at tech startups on Wellfound\"\n\nThe skill will:\n1. Parse the user's intent and extract search parameters\n2. Load the user's profile from saved configuration\n3. Search across specified platforms\n4. Analyze job compatibility\n5. Generate tailored cover letters\n6. Submit applications (with confirmation if enabled)\n7. Report results and track applications\n\n### Configuration in Clawdbot\n\nAdd to your Clawdbot configuration:\n\n```json\n{\n  \"skills\": {\n    \"job-auto-apply\": {\n      \"enabled\": true,\n      \"profile_path\": \"~\u002Fjob_profile.json\",\n      \"default_platforms\": [\"linkedin\", \"indeed\"],\n      \"max_daily_applications\": 10,\n      \"require_confirmation\": true,\n      \"dry_run\": false\n    }\n  }\n}\n```\n\n## Features\n\n### 1. Multi-Platform Search\n- Searches across all major job platforms\n- Uses official APIs when available\n- Falls back to web scraping for platforms without APIs\n\n### 2. Smart Matching\n- Analyzes job descriptions for requirement matching\n- Calculates compatibility scores\n- Filters jobs based on minimum match threshold\n\n### 3. Application Customization\n- Generates tailored cover letters per job\n- Customizes resume emphasis based on job requirements\n- Handles platform-specific application forms\n\n### 4. Safety Features\n- **Dry Run Mode**: Test without submitting applications\n- **Manual Confirmation**: Review each application before submission\n- **Rate Limiting**: Prevents overwhelming platforms\n- **Application Logging**: Tracks all submissions for reference\n\n### 5. Form Automation\nAutomatically fills common application fields:\n- Personal information\n- Work authorization status\n- Education and experience\n- Skills and certifications\n- Screening questions (using AI when needed)\n\n## Advanced Usage\n\n### Custom Cover Letter Templates\n\nCreate a template with placeholders:\n\n```text\nDear Hiring Manager at {company},\n\nI am excited to apply for the {position} role. With {years} years of \nexperience in {skills}, I believe I would be an excellent fit.\n\n{custom_paragraph}\n\nI look forward to discussing how I can contribute to {company}'s success.\n\nBest regards,\n{name}\n```\n\n### Application Tracking\n\nResults are automatically saved in JSON format with details on each application submitted, including timestamps, match scores, and status.\n\n## Bundled Resources\n\n### Scripts\n- `job_search_apply.py` - Main automation script with search, matching, and application logic\n\n### References\n- `platform_integration.md` - Technical documentation for API integration, web scraping, form automation, and platform-specific details\n\n### Assets\n- `profile_template.json` - Comprehensive profile template with all required and optional fields\n\n## Safety and Ethics\n\n### Important Guidelines\n\n1. **Truthfulness**: Never misrepresent qualifications or experience\n2. **Genuine Interest**: Only apply to jobs you're actually interested in\n3. **Rate Limiting**: Respect platform limits and terms of service\n4. **Manual Review**: Consider enabling confirmation mode for quality control\n5. **Privacy**: Secure storage of personal information and credentials\n\n### Best Practices\n\n- Start with dry-run mode to verify behavior\n- Set reasonable limits (5-10 applications per day)\n- Use high match score thresholds (0.75+)\n- Enable confirmation for important applications\n- Track results to optimize strategy\n","# Job Auto-Apply Skill\n\nAutomate job searching and application submission across multiple job platforms using Clawdbot.\n\n## Overview\n\nThis skill enables automated job search and application workflows. It searches for jobs matching user criteria, analyzes compatibility, generates tailored cover letters, and submits applications automatically or with user confirmation.\n\n**Supported Platforms:**\n- LinkedIn (including Easy Apply)\n- Indeed\n- Glassdoor\n- ZipRecruiter\n- Wellfound (AngelList)\n\n## Quick Start\n\n### 1. Set Up User Profile\n\nFirst, create a user profile using the template:\n\n```bash\n# Copy the profile template\ncp profile_template.json ~\u002Fjob_profile.json\n\n# Edit with user's information\n# Fill in: name, email, phone, resume path, skills, preferences\n```\n\n### 2. Run Job Search and Apply\n\n```bash\n# Basic usage - search and apply (dry run)\npython job_search_apply.py \\\n  --title \"Software Engineer\" \\\n  --location \"San Francisco, CA\" \\\n  --remote \\\n  --max-applications 10 \\\n  --dry-run\n\n# With profile file\npython job_search_apply.py \\\n  --profile ~\u002Fjob_profile.json \\\n  --title \"Backend Engineer\" \\\n  --platforms linkedin,indeed \\\n  --auto-apply\n\n# Production mode (actual applications)\npython job_search_apply.py \\\n  --profile ~\u002Fjob_profile.json \\\n  --title \"Senior Developer\" \\\n  --no-dry-run \\\n  --require-confirmation\n```\n\n## Workflow Steps\n\n### Step 1: Profile Configuration\n\nLoad the user's profile from the template or create programmatically:\n\n```python\nfrom job_search_apply import ApplicantProfile\n\nprofile = ApplicantProfile(\n    full_name=\"Jane Doe\",\n    email=\"jane@example.com\",\n    phone=\"+1234567890\",\n    resume_path=\"~\u002FDocuments\u002Fresume.pdf\",\n    linkedin_url=\"https:\u002F\u002Flinkedin.com\u002Fin\u002Fjanedoe\",\n    years_experience=5,\n    authorized_to_work=True,\n    requires_sponsorship=False\n)\n```\n\n### Step 2: Define Search Parameters\n\n```python\nfrom job_search_apply import JobSearchParams, JobPlatform\n\nsearch_params = JobSearchParams(\n    title=\"Software Engineer\",\n    location=\"Remote\",\n    remote=True,\n    experience_level=\"mid\",\n    job_type=\"full-time\",\n    salary_min=100000,\n    platforms=[JobPlatform.LINKEDIN, JobPlatform.INDEED]\n)\n```\n\n### Step 3: Run Automated Application\n\n```python\nfrom job_search_apply import auto_apply_workflow\n\nresults = auto_apply_workflow(\n    search_params=search_params,\n    profile=profile,\n    max_applications=10,\n    min_match_score=0.75,\n    dry_run=False,\n    require_confirmation=True\n)\n```\n\n## Integration with Clawdbot\n\n### Using as a Clawdbot Tool\n\nWhen installed as a Clawdbot skill, invoke via natural language:\n\n**Example prompts:**\n- \"Find and apply to Python developer jobs in San Francisco\"\n- \"Search for remote backend engineer positions and apply to the top 5 matches\"\n- \"Auto-apply to senior software engineer roles with 100k+ salary\"\n- \"Apply to jobs at tech startups on Wellfound\"\n\nThe skill will:\n1. Parse the user's intent and extract search parameters\n2. Load the user's profile from saved configuration\n3. Search across specified platforms\n4. Analyze job compatibility\n5. Generate tailored cover letters\n6. Submit applications (with confirmation if enabled)\n7. Report results and track applications\n\n### Configuration in Clawdbot\n\nAdd to your Clawdbot configuration:\n\n```json\n{\n  \"skills\": {\n    \"job-auto-apply\": {\n      \"enabled\": true,\n      \"profile_path\": \"~\u002Fjob_profile.json\",\n      \"default_platforms\": [\"linkedin\", \"indeed\"],\n      \"max_daily_applications\": 10,\n      \"require_confirmation\": true,\n      \"dry_run\": false\n    }\n  }\n}\n```\n\n## Features\n\n### 1. Multi-Platform Search\n- Searches across all major job platforms\n- Uses official APIs when available\n- Falls back to web scraping for platforms without APIs\n\n### 2. Smart Matching\n- Analyzes job descriptions for requirement matching\n- Calculates compatibility scores\n- Filters jobs based on minimum match threshold\n\n### 3. Application Customization\n- Generates tailored cover letters per job\n- Customizes resume emphasis based on job requirements\n- Handles platform-specific application forms\n\n### 4. Safety Features\n- **Dry Run Mode**: Test without submitting applications\n- **Manual Confirmation**: Review each application before submission\n- **Rate Limiting**: Prevents overwhelming platforms\n- **Application Logging**: Tracks all submissions for reference\n\n### 5. Form Automation\nAutomatically fills common application fields:\n- Personal information\n- Work authorization status\n- Education and experience\n- Skills and certifications\n- Screening questions (using AI when needed)\n\n## Advanced Usage\n\n### Custom Cover Letter Templates\n\nCreate a template with placeholders:\n\n```text\nDear Hiring Manager at {company},\n\nI am excited to apply for the {position} role. With {years} years of \nexperience in {skills}, I believe I would be an excellent fit.\n\n{custom_paragraph}\n\nI look forward to discussing how I can contribute to {company}'s success.\n\nBest regards,\n{name}\n```\n\n### Application Tracking\n\nResults are automatically saved in JSON format with details on each application submitted, including timestamps, match scores, and status.\n\n## Bundled Resources\n\n### Scripts\n- `job_search_apply.py` - Main automation script with search, matching, and application logic\n\n### References\n- `platform_integration.md` - Technical documentation for API integration, web scraping, form automation, and platform-specific details\n\n### Assets\n- `profile_template.json` - Comprehensive profile template with all required and optional fields\n\n## Safety and Ethics\n\n### Important Guidelines\n\n1. **Truthfulness**: Never misrepresent qualifications or experience\n2. **Genuine Interest**: Only apply to jobs you're actually interested in\n3. **Rate Limiting**: Respect platform limits and terms of service\n4. **Manual Review**: Consider enabling confirmation mode for quality control\n5. **Privacy**: Secure storage of personal information and credentials\n\n### Best Practices\n\n- Start with dry-run mode to verify behavior\n- Set reasonable limits (5-10 applications per day)\n- Use high match score thresholds (0.75+)\n- Enable confirmation for important applications\n- Track results to optimize strategy\n",{"name":5,"description":7},"main","e7e336ac628c3e3bd771aff1aaa469c93778f94a","skills\u002Fveeky-kumar\u002Fjob-auto-apply",0,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del","2026-08-23 22:39:37",{"source":8,"skillName":5,"commands":56,"prompt":66,"zipAvailable":67},[57,60,63],{"tool":58,"command":59},"npx","npx skills add kbarbel640-del\u002Fskills --skill job-auto-apply",{"tool":61,"command":62},"bunx","bunx skills add kbarbel640-del\u002Fskills --skill job-auto-apply",{"tool":64,"command":65},"pnpm","pnpm dlx skills add kbarbel640-del\u002Fskills --skill job-auto-apply","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fveeky-kumar\u002Fjob-auto-apply\u002FSKILL.md",true,[69,75,81,85],{"path":70,"resourceType":71,"resourceTypeDesc":72,"sizeBytes":73,"sourceHtmlUrl":74},"_meta.json","REFERENCE","参考文档",285,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fveeky-kumar\u002Fjob-auto-apply\u002F_meta.json",{"path":76,"resourceType":77,"resourceTypeDesc":78,"sizeBytes":79,"sourceHtmlUrl":80},"job_search_apply.py","SCRIPT","脚本",9869,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fveeky-kumar\u002Fjob-auto-apply\u002Fjob_search_apply.py",{"path":82,"resourceType":71,"resourceTypeDesc":72,"sizeBytes":83,"sourceHtmlUrl":84},"platform_integration.md",6606,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fveeky-kumar\u002Fjob-auto-apply\u002Fplatform_integration.md",{"path":86,"resourceType":71,"resourceTypeDesc":72,"sizeBytes":87,"sourceHtmlUrl":88},"profile_template.json",3837,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fveeky-kumar\u002Fjob-auto-apply\u002Fprofile_template.json",[90,120,144,165,171,190],{"skillNo":91,"name":92,"nameZh":6,"description":93,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":94,"categories":95,"keywords":101,"publishedAt":43},"01M6G8J55967D6281ACMKAKTEQ","crowd-prompting","A marketplace where AI agents improve prompts, system instructions, tool descriptions, and other text-based content with domain expertise from real-world operations — and earn tokens for valuable contributions.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzzadrian\u002Fcrowd-prompting\u002FSKILL.md",[96],{"categoryNo":97,"categoryName":98,"taxonomyType":99,"taxonomyTypeDesc":100},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[102,103,104,105,106,107,108,109,110,111,112,113,39,114,115,116,117,118,119],"crowd prompting","prompting","api","with","tokens","domain","world","prompts","operations","instructions","text","tool","improve","productivity","marketplace","https","content","ai agents",{"skillNo":121,"name":122,"nameZh":6,"description":123,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":124,"categories":125,"keywords":127,"publishedAt":43},"01M6G8J0PKPAYVET6BWE8W4C26","dilemm-ai","Compete in DilemmAI, the prisoner's dilemma AI arena at dilemm.ai. Use when an OpenClaw agent wants to create an account, design and submit strategy prompts for their bot, enter matchmaking, analyze historical matches and leaderboards, and iterate on bot strategy. Requires headless browser automation (no API available yet).","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzyori\u002Fdilemm-ai\u002FSKILL.md",[126],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},[128,104,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,109,35],"dilemm ai","arena","analyze","browser","openclaw agent","create","automation","browser automation","bot","openclaw","design","strategy","headless","compete","submit","matchmaking",{"skillNo":145,"name":146,"nameZh":6,"description":147,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":148,"categories":149,"keywords":153,"publishedAt":43},"01M6G8HWAF3K9SW7NP3Z83CPJ6","arxiv-paper-reviews","Interact with arXiv Crawler API to fetch papers, read reviews, and submit comments. Use when working with arXiv papers, fetching paper lists by date\u002Fcategory\u002Finterest, viewing paper details with comments, or submitting paper reviews via API at http:\u002F\u002F150.158.152.82:8000.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzxrys\u002Fweak-accept\u002FSKILL.md",[150],{"categoryNo":151,"categoryName":152,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000021","资料检索与研究",[154,155,156,157,158,159,160,105,161,142,35,162,104,163,164],"arxiv paper reviews","reviews","arxiv","paper","crawler","papers","comments","fetch","read","http","via",{"skillNo":166,"name":146,"nameZh":6,"description":147,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":167,"categories":168,"keywords":170,"publishedAt":43},"01M6G8HQJ7N7WMY6YV7D7SSJ16","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzxrys\u002Farxiv-paper-reviews\u002FSKILL.md",[169],{"categoryNo":151,"categoryName":152,"taxonomyType":20,"taxonomyTypeDesc":21},[157,156,155,154,164,159,160,105,158,142,35,161,162,104,163],{"skillNo":172,"name":173,"nameZh":6,"description":174,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":175,"categories":176,"keywords":177,"publishedAt":43},"01M6G8HM95Y64JNVFC2HN4E2BG","git-summary","Get a quick summary of the current Git repository including status, recent commits, branches, and contributors.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzweack\u002Fgit-summary\u002FSKILL.md",[],[178,179,180,181,182,183,34,184,185,186,187,188,189],"git","summary","git summary","commits","repository","win32","linux","contributors","true","quick","get","branches",{"skillNo":191,"name":192,"nameZh":6,"description":193,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":194,"categories":195,"keywords":200,"publishedAt":43},"01M6G8HGEGF05CNEJCGVYFSC4R","agent-constitution","Interact with AgentConstitution governance contracts on Base Sepolia. Check compliance, read rules, log actions, query governance state.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fztsalexey\u002Fagent-constitution\u002FSKILL.md",[196,197],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":198,"categoryName":199,"taxonomyType":99,"taxonomyTypeDesc":100},"01JBSEEDCAT000000000000037","律师与法务",[201,202,203,204,105,205,206,48,207,162,208,209,210,211,212,117,213,214,215],"agent constitution","constitution","contracts","tree","query","base","log","check","Rules","projects","compliance","actions","state","governance","github"]