[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M78GQPCRTP796BFDHCDBTT3R":3,"skill-same:01M78GQPCRTP796BFDHCDBTT3R":93},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":16,"sourceHtmlUrl":17,"categories":18,"keywords":19,"publishedAt":20,"linkOnly":21,"markdownContent":22,"markdownBody":23,"frontMatter":24,"refName":36,"commitSha":37,"skillDirectory":38,"forksCount":39,"repositoryHtmlUrl":40,"repositoryHomepageUrl":6,"ownerHtmlUrl":41,"ownerBlogUrl":42,"ownerDescription":43,"updatedAt":44,"install":45,"resources":58},"01M78GQPCRTP796BFDHCDBTT3R","analyzing-threat-actor-ttps-with-mitre-attack",null,"MITRE ATT&CK is a globally-accessible knowledge base of adversary tactics, techniques, and procedures (TTPs) based on real-world observations. This skill covers systematically mapping threat actor beh","jukeyman\u002Fjukeyman-skills","jukeyman","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F142960420?v=4","01M78FR4Y3DHMMCBCC0GXXNB3F","RICK JEFFERSON","01M78FR4Z8RVQRAD31Y5J7V6EB",1,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fjukeyman\u002Fjukeyman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-threat-actor-ttps-with-mitre-attack\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fjukeyman\u002Fjukeyman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-threat-actor-ttps-with-mitre-attack\u002FSKILL.md",[],[],"2026-11-15 14:19:17",false,"---\nname: analyzing-threat-actor-ttps-with-mitre-attack\ndescription: MITRE ATT&CK is a globally-accessible knowledge base of adversary tactics, techniques, and procedures (TTPs) based on real-world observations. This skill covers systematically mapping threat actor beh\ndomain: cybersecurity\nsubdomain: threat-intelligence\ntags: [threat-intelligence, cti, ioc, mitre-attack, stix, ttp-analysis, threat-actors]\nversion: \"1.0\"\nauthor: mahipal\nlicense: Apache-2.0\n---\n# Analyzing Threat Actor TTPs with MITRE ATT&CK\n\n## Overview\n\nMITRE ATT&CK is a globally-accessible knowledge base of adversary tactics, techniques, and procedures (TTPs) based on real-world observations. This skill covers systematically mapping threat actor behavior to the ATT&CK framework, building technique coverage heatmaps using the ATT&CK Navigator, identifying detection gaps, and producing actionable intelligence reports that link observed IOCs to specific adversary techniques across the Enterprise, Mobile, and ICS matrices.\n\n\n## When to Use\n\n- When investigating security incidents that require analyzing threat actor ttps with mitre attack\n- When building detection rules or threat hunting queries for this domain\n- When SOC analysts need structured procedures for this analysis type\n- When validating security monitoring coverage for related attack techniques\n\n## Prerequisites\n\n- Python 3.9+ with `mitreattack-python`, `attackcti`, `stix2` libraries\n- MITRE ATT&CK Navigator (web-based or local deployment)\n- Understanding of ATT&CK matrix structure: Tactics, Techniques, Sub-techniques\n- Access to threat intelligence reports or MISP\u002FOpenCTI for threat actor data\n- Familiarity with STIX 2.1 Attack Pattern objects\n\n## Key Concepts\n\n### ATT&CK Matrix Structure\n\nThe ATT&CK Enterprise matrix organizes adversary behavior into 14 Tactics (the \"why\") containing Techniques (the \"how\") and Sub-techniques (specific implementations). Each technique has associated data sources, detections, mitigations, and real-world procedure examples from observed threat groups.\n\n### Threat Group Profiles\n\nATT&CK catalogs over 140 threat groups (e.g., APT28, APT29, Lazarus Group, FIN7) with documented technique usage. Each group profile includes aliases, targeted sectors, associated campaigns, software used, and technique mappings with procedure-level detail.\n\n### ATT&CK Navigator\n\nThe ATT&CK Navigator is a web-based tool for creating custom ATT&CK matrix visualizations. Analysts create layers (JSON files) that annotate techniques with scores, colors, comments, and metadata to visualize threat actor coverage, detection capabilities, or risk assessments.\n\n## Workflow\n\n### Step 1: Query ATT&CK Data Programmatically\n\n```python\nfrom attackcti import attack_client\nimport json\n\n# Initialize ATT&CK client (queries MITRE TAXII server)\nlift = attack_client()\n\n# Get all Enterprise techniques\nenterprise_techniques = lift.get_enterprise_techniques()\nprint(f\"Total Enterprise techniques: {len(enterprise_techniques)}\")\n\n# Get all threat groups\ngroups = lift.get_groups()\nprint(f\"Total threat groups: {len(groups)}\")\n\n# Get specific group by name\napt29 = [g for g in groups if 'APT29' in g.get('name', '')]\nif apt29:\n    group = apt29[0]\n    print(f\"Group: {group['name']}\")\n    print(f\"Aliases: {group.get('aliases', [])}\")\n    print(f\"Description: {group.get('description', '')[:200]}\")\n```\n\n### Step 2: Map Threat Actor to ATT&CK Techniques\n\n```python\nfrom attackcti import attack_client\n\nlift = attack_client()\n\n# Get techniques used by APT29\napt29_techniques = lift.get_techniques_used_by_group(\"G0016\")  # APT29 group ID\n\ntechnique_map = {}\nfor entry in apt29_techniques:\n    tech_id = entry.get(\"external_references\", [{}])[0].get(\"external_id\", \"\")\n    tech_name = entry.get(\"name\", \"\")\n    description = entry.get(\"description\", \"\")\n    tactic_refs = [\n        phase.get(\"phase_name\", \"\")\n        for phase in entry.get(\"kill_chain_phases\", [])\n    ]\n\n    technique_map[tech_id] = {\n        \"name\": tech_name,\n        \"tactics\": tactic_refs,\n        \"description\": description[:300],\n    }\n\nprint(f\"\\nAPT29 uses {len(technique_map)} techniques:\")\nfor tid, info in sorted(technique_map.items()):\n    print(f\"  {tid}: {info['name']} [{', '.join(info['tactics'])}]\")\n```\n\n### Step 3: Generate ATT&CK Navigator Layer\n\n```python\nimport json\n\ndef create_navigator_layer(group_name, technique_map, description=\"\"):\n    \"\"\"Generate ATT&CK Navigator layer JSON for a threat group.\"\"\"\n    techniques_list = []\n    for tech_id, info in technique_map.items():\n        techniques_list.append({\n            \"techniqueID\": tech_id,\n            \"tactic\": info[\"tactics\"][0] if info[\"tactics\"] else \"\",\n            \"color\": \"#ff6666\",  # Red for observed techniques\n            \"comment\": info[\"description\"][:200],\n            \"enabled\": True,\n            \"score\": 100,\n            \"metadata\": [\n                {\"name\": \"group\", \"value\": group_name},\n            ],\n        })\n\n    layer = {\n        \"name\": f\"{group_name} TTP Coverage\",\n        \"versions\": {\n            \"attack\": \"16.1\",\n            \"navigator\": \"5.1.0\",\n            \"layer\": \"4.5\",\n        },\n        \"domain\": \"enterprise-attack\",\n        \"description\": description or f\"Techniques attributed to {group_name}\",\n        \"filters\": {\"platforms\": [\"Windows\", \"Linux\", \"macOS\", \"Cloud\"]},\n        \"sorting\": 0,\n        \"layout\": {\n            \"layout\": \"side\",\n            \"aggregateFunction\": \"average\",\n            \"showID\": True,\n            \"showName\": True,\n            \"showAggregateScores\": False,\n            \"countUnscored\": False,\n        },\n        \"hideDisabled\": False,\n        \"techniques\": techniques_list,\n        \"gradient\": {\n            \"colors\": [\"#ffffff\", \"#ff6666\"],\n            \"minValue\": 0,\n            \"maxValue\": 100,\n        },\n        \"legendItems\": [\n            {\"label\": \"Observed technique\", \"color\": \"#ff6666\"},\n            {\"label\": \"Not observed\", \"color\": \"#ffffff\"},\n        ],\n        \"showTacticRowBackground\": True,\n        \"tacticRowBackground\": \"#dddddd\",\n        \"selectTechniquesAcrossTactics\": True,\n        \"selectSubtechniquesWithParent\": False,\n        \"selectVisibleTechniques\": False,\n    }\n\n    return layer\n\n\n# Generate and save layer\nlayer = create_navigator_layer(\"APT29\", technique_map, \"APT29 (Cozy Bear) TTP analysis\")\nwith open(\"apt29_navigator_layer.json\", \"w\") as f:\n    json.dump(layer, f, indent=2)\nprint(\"[+] Navigator layer saved to apt29_navigator_layer.json\")\n```\n\n### Step 4: Identify Detection Gaps\n\n```python\nfrom attackcti import attack_client\n\nlift = attack_client()\n\n# Get all techniques with data sources\nall_techniques = lift.get_enterprise_techniques()\n\n# Build data source coverage map\ndata_source_coverage = {}\nfor tech in all_techniques:\n    tech_id = tech.get(\"external_references\", [{}])[0].get(\"external_id\", \"\")\n    data_sources = tech.get(\"x_mitre_data_sources\", [])\n\n    for ds in data_sources:\n        if ds not in data_source_coverage:\n            data_source_coverage[ds] = []\n        data_source_coverage[ds].append(tech_id)\n\n# Compare threat actor techniques against available detections\ndetected_techniques = {\"T1059\", \"T1071\", \"T1566\"}  # Example: techniques you can detect\nactor_techniques = set(technique_map.keys())\n\ncovered = actor_techniques.intersection(detected_techniques)\ngaps = actor_techniques - detected_techniques\n\nprint(f\"\\n=== Detection Gap Analysis for APT29 ===\")\nprint(f\"Actor techniques: {len(actor_techniques)}\")\nprint(f\"Detected: {len(covered)} ({len(covered)\u002Flen(actor_techniques)*100:.0f}%)\")\nprint(f\"Gaps: {len(gaps)} ({len(gaps)\u002Flen(actor_techniques)*100:.0f}%)\")\nprint(f\"\\nUndetected techniques:\")\nfor tech_id in sorted(gaps):\n    if tech_id in technique_map:\n        print(f\"  {tech_id}: {technique_map[tech_id]['name']}\")\n```\n\n### Step 5: Cross-Group Technique Comparison\n\n```python\nfrom attackcti import attack_client\n\nlift = attack_client()\n\n# Compare techniques across multiple groups\ngroups_to_compare = {\n    \"G0016\": \"APT29\",\n    \"G0007\": \"APT28\",\n    \"G0032\": \"Lazarus Group\",\n}\n\ngroup_techniques = {}\nfor gid, gname in groups_to_compare.items():\n    techs = lift.get_techniques_used_by_group(gid)\n    tech_ids = set()\n    for t in techs:\n        tid = t.get(\"external_references\", [{}])[0].get(\"external_id\", \"\")\n        if tid:\n            tech_ids.add(tid)\n    group_techniques[gname] = tech_ids\n\n# Find common and unique techniques\nall_groups = list(group_techniques.keys())\ncommon_to_all = set.intersection(*group_techniques.values())\nprint(f\"\\nTechniques common to all {len(all_groups)} groups: {len(common_to_all)}\")\nfor tid in sorted(common_to_all):\n    print(f\"  {tid}\")\n\nfor gname, techs in group_techniques.items():\n    unique = techs - set.union(*[t for n, t in group_techniques.items() if n != gname])\n    print(f\"\\nUnique to {gname}: {len(unique)} techniques\")\n```\n\n## Validation Criteria\n\n- ATT&CK data successfully queried via TAXII server or local copy\n- Threat actor mapped to specific techniques with procedure examples\n- ATT&CK Navigator layer JSON is valid and renders correctly\n- Detection gap analysis identifies unmonitored techniques\n- Cross-group comparison reveals shared and unique TTPs\n- Output is actionable for detection engineering prioritization\n\n## References\n\n- [MITRE ATT&CK](https:\u002F\u002Fattack.mitre.org\u002F)\n- [ATT&CK Navigator](https:\u002F\u002Fmitre-attack.github.io\u002Fattack-navigator\u002F)\n- [attackcti Python Library](https:\u002F\u002Fgithub.com\u002FOTRF\u002FATTACK-Python-Client)\n- [ATT&CK STIX Data](https:\u002F\u002Fgithub.com\u002Fmitre\u002Fcti)\n- [ATT&CK Groups](https:\u002F\u002Fattack.mitre.org\u002Fgroups\u002F)\n","# Analyzing Threat Actor TTPs with MITRE ATT&CK\n\n## Overview\n\nMITRE ATT&CK is a globally-accessible knowledge base of adversary tactics, techniques, and procedures (TTPs) based on real-world observations. This skill covers systematically mapping threat actor behavior to the ATT&CK framework, building technique coverage heatmaps using the ATT&CK Navigator, identifying detection gaps, and producing actionable intelligence reports that link observed IOCs to specific adversary techniques across the Enterprise, Mobile, and ICS matrices.\n\n\n## When to Use\n\n- When investigating security incidents that require analyzing threat actor ttps with mitre attack\n- When building detection rules or threat hunting queries for this domain\n- When SOC analysts need structured procedures for this analysis type\n- When validating security monitoring coverage for related attack techniques\n\n## Prerequisites\n\n- Python 3.9+ with `mitreattack-python`, `attackcti`, `stix2` libraries\n- MITRE ATT&CK Navigator (web-based or local deployment)\n- Understanding of ATT&CK matrix structure: Tactics, Techniques, Sub-techniques\n- Access to threat intelligence reports or MISP\u002FOpenCTI for threat actor data\n- Familiarity with STIX 2.1 Attack Pattern objects\n\n## Key Concepts\n\n### ATT&CK Matrix Structure\n\nThe ATT&CK Enterprise matrix organizes adversary behavior into 14 Tactics (the \"why\") containing Techniques (the \"how\") and Sub-techniques (specific implementations). Each technique has associated data sources, detections, mitigations, and real-world procedure examples from observed threat groups.\n\n### Threat Group Profiles\n\nATT&CK catalogs over 140 threat groups (e.g., APT28, APT29, Lazarus Group, FIN7) with documented technique usage. Each group profile includes aliases, targeted sectors, associated campaigns, software used, and technique mappings with procedure-level detail.\n\n### ATT&CK Navigator\n\nThe ATT&CK Navigator is a web-based tool for creating custom ATT&CK matrix visualizations. Analysts create layers (JSON files) that annotate techniques with scores, colors, comments, and metadata to visualize threat actor coverage, detection capabilities, or risk assessments.\n\n## Workflow\n\n### Step 1: Query ATT&CK Data Programmatically\n\n```python\nfrom attackcti import attack_client\nimport json\n\n# Initialize ATT&CK client (queries MITRE TAXII server)\nlift = attack_client()\n\n# Get all Enterprise techniques\nenterprise_techniques = lift.get_enterprise_techniques()\nprint(f\"Total Enterprise techniques: {len(enterprise_techniques)}\")\n\n# Get all threat groups\ngroups = lift.get_groups()\nprint(f\"Total threat groups: {len(groups)}\")\n\n# Get specific group by name\napt29 = [g for g in groups if 'APT29' in g.get('name', '')]\nif apt29:\n    group = apt29[0]\n    print(f\"Group: {group['name']}\")\n    print(f\"Aliases: {group.get('aliases', [])}\")\n    print(f\"Description: {group.get('description', '')[:200]}\")\n```\n\n### Step 2: Map Threat Actor to ATT&CK Techniques\n\n```python\nfrom attackcti import attack_client\n\nlift = attack_client()\n\n# Get techniques used by APT29\napt29_techniques = lift.get_techniques_used_by_group(\"G0016\")  # APT29 group ID\n\ntechnique_map = {}\nfor entry in apt29_techniques:\n    tech_id = entry.get(\"external_references\", [{}])[0].get(\"external_id\", \"\")\n    tech_name = entry.get(\"name\", \"\")\n    description = entry.get(\"description\", \"\")\n    tactic_refs = [\n        phase.get(\"phase_name\", \"\")\n        for phase in entry.get(\"kill_chain_phases\", [])\n    ]\n\n    technique_map[tech_id] = {\n        \"name\": tech_name,\n        \"tactics\": tactic_refs,\n        \"description\": description[:300],\n    }\n\nprint(f\"\\nAPT29 uses {len(technique_map)} techniques:\")\nfor tid, info in sorted(technique_map.items()):\n    print(f\"  {tid}: {info['name']} [{', '.join(info['tactics'])}]\")\n```\n\n### Step 3: Generate ATT&CK Navigator Layer\n\n```python\nimport json\n\ndef create_navigator_layer(group_name, technique_map, description=\"\"):\n    \"\"\"Generate ATT&CK Navigator layer JSON for a threat group.\"\"\"\n    techniques_list = []\n    for tech_id, info in technique_map.items():\n        techniques_list.append({\n            \"techniqueID\": tech_id,\n            \"tactic\": info[\"tactics\"][0] if info[\"tactics\"] else \"\",\n            \"color\": \"#ff6666\",  # Red for observed techniques\n            \"comment\": info[\"description\"][:200],\n            \"enabled\": True,\n            \"score\": 100,\n            \"metadata\": [\n                {\"name\": \"group\", \"value\": group_name},\n            ],\n        })\n\n    layer = {\n        \"name\": f\"{group_name} TTP Coverage\",\n        \"versions\": {\n            \"attack\": \"16.1\",\n            \"navigator\": \"5.1.0\",\n            \"layer\": \"4.5\",\n        },\n        \"domain\": \"enterprise-attack\",\n        \"description\": description or f\"Techniques attributed to {group_name}\",\n        \"filters\": {\"platforms\": [\"Windows\", \"Linux\", \"macOS\", \"Cloud\"]},\n        \"sorting\": 0,\n        \"layout\": {\n            \"layout\": \"side\",\n            \"aggregateFunction\": \"average\",\n            \"showID\": True,\n            \"showName\": True,\n            \"showAggregateScores\": False,\n            \"countUnscored\": False,\n        },\n        \"hideDisabled\": False,\n        \"techniques\": techniques_list,\n        \"gradient\": {\n            \"colors\": [\"#ffffff\", \"#ff6666\"],\n            \"minValue\": 0,\n            \"maxValue\": 100,\n        },\n        \"legendItems\": [\n            {\"label\": \"Observed technique\", \"color\": \"#ff6666\"},\n            {\"label\": \"Not observed\", \"color\": \"#ffffff\"},\n        ],\n        \"showTacticRowBackground\": True,\n        \"tacticRowBackground\": \"#dddddd\",\n        \"selectTechniquesAcrossTactics\": True,\n        \"selectSubtechniquesWithParent\": False,\n        \"selectVisibleTechniques\": False,\n    }\n\n    return layer\n\n\n# Generate and save layer\nlayer = create_navigator_layer(\"APT29\", technique_map, \"APT29 (Cozy Bear) TTP analysis\")\nwith open(\"apt29_navigator_layer.json\", \"w\") as f:\n    json.dump(layer, f, indent=2)\nprint(\"[+] Navigator layer saved to apt29_navigator_layer.json\")\n```\n\n### Step 4: Identify Detection Gaps\n\n```python\nfrom attackcti import attack_client\n\nlift = attack_client()\n\n# Get all techniques with data sources\nall_techniques = lift.get_enterprise_techniques()\n\n# Build data source coverage map\ndata_source_coverage = {}\nfor tech in all_techniques:\n    tech_id = tech.get(\"external_references\", [{}])[0].get(\"external_id\", \"\")\n    data_sources = tech.get(\"x_mitre_data_sources\", [])\n\n    for ds in data_sources:\n        if ds not in data_source_coverage:\n            data_source_coverage[ds] = []\n        data_source_coverage[ds].append(tech_id)\n\n# Compare threat actor techniques against available detections\ndetected_techniques = {\"T1059\", \"T1071\", \"T1566\"}  # Example: techniques you can detect\nactor_techniques = set(technique_map.keys())\n\ncovered = actor_techniques.intersection(detected_techniques)\ngaps = actor_techniques - detected_techniques\n\nprint(f\"\\n=== Detection Gap Analysis for APT29 ===\")\nprint(f\"Actor techniques: {len(actor_techniques)}\")\nprint(f\"Detected: {len(covered)} ({len(covered)\u002Flen(actor_techniques)*100:.0f}%)\")\nprint(f\"Gaps: {len(gaps)} ({len(gaps)\u002Flen(actor_techniques)*100:.0f}%)\")\nprint(f\"\\nUndetected techniques:\")\nfor tech_id in sorted(gaps):\n    if tech_id in technique_map:\n        print(f\"  {tech_id}: {technique_map[tech_id]['name']}\")\n```\n\n### Step 5: Cross-Group Technique Comparison\n\n```python\nfrom attackcti import attack_client\n\nlift = attack_client()\n\n# Compare techniques across multiple groups\ngroups_to_compare = {\n    \"G0016\": \"APT29\",\n    \"G0007\": \"APT28\",\n    \"G0032\": \"Lazarus Group\",\n}\n\ngroup_techniques = {}\nfor gid, gname in groups_to_compare.items():\n    techs = lift.get_techniques_used_by_group(gid)\n    tech_ids = set()\n    for t in techs:\n        tid = t.get(\"external_references\", [{}])[0].get(\"external_id\", \"\")\n        if tid:\n            tech_ids.add(tid)\n    group_techniques[gname] = tech_ids\n\n# Find common and unique techniques\nall_groups = list(group_techniques.keys())\ncommon_to_all = set.intersection(*group_techniques.values())\nprint(f\"\\nTechniques common to all {len(all_groups)} groups: {len(common_to_all)}\")\nfor tid in sorted(common_to_all):\n    print(f\"  {tid}\")\n\nfor gname, techs in group_techniques.items():\n    unique = techs - set.union(*[t for n, t in group_techniques.items() if n != gname])\n    print(f\"\\nUnique to {gname}: {len(unique)} techniques\")\n```\n\n## Validation Criteria\n\n- ATT&CK data successfully queried via TAXII server or local copy\n- Threat actor mapped to specific techniques with procedure examples\n- ATT&CK Navigator layer JSON is valid and renders correctly\n- Detection gap analysis identifies unmonitored techniques\n- Cross-group comparison reveals shared and unique TTPs\n- Output is actionable for detection engineering prioritization\n\n## References\n\n- [MITRE ATT&CK](https:\u002F\u002Fattack.mitre.org\u002F)\n- [ATT&CK Navigator](https:\u002F\u002Fmitre-attack.github.io\u002Fattack-navigator\u002F)\n- [attackcti Python Library](https:\u002F\u002Fgithub.com\u002FOTRF\u002FATTACK-Python-Client)\n- [ATT&CK STIX Data](https:\u002F\u002Fgithub.com\u002Fmitre\u002Fcti)\n- [ATT&CK Groups](https:\u002F\u002Fattack.mitre.org\u002Fgroups\u002F)\n",{"name":5,"tags":25,"author":33,"domain":34,"license":15,"version":35,"subdomain":26,"description":7},[26,27,28,29,30,31,32],"threat-intelligence","cti","ioc","mitre-attack","stix","ttp-analysis","threat-actors","mahipal","cybersecurity","1.0","main","99825ad3f3bcc6597ddcc7294a14e6e922f2b67b","skills\u002Fanalyzing-threat-actor-ttps-with-mitre-attack",0,"https:\u002F\u002Fgithub.com\u002Fjukeyman\u002Fjukeyman-skills","https:\u002F\u002Fgithub.com\u002Fjukeyman","https:\u002F\u002FRJBUSINESSSOLUTIONS.ORG","Credit and Finance Expert | Developer\r\n\r\nI'm Rick Jefferson, a seasoned credit and finance expert with over a decade of experience in financial literacy,","2026-07-13 07:03:29",{"source":8,"skillName":5,"commands":46,"prompt":56,"zipAvailable":57},[47,50,53],{"tool":48,"command":49},"npx","npx skills add jukeyman\u002Fjukeyman-skills --skill 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zustand store creator operations. Auto-activating skill for Frontend Development.\nTriggers on: zustand store creator, zustand store creator\nPart of the Frontend Development skill category. Use when working with zustand store creator functionality. Trigger with phrases like \"zustand store creator\", \"zustand creator\", \"zustand\".","MIT","https:\u002F\u002Fgithub.com\u002Fjukeyman\u002Fjukeyman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fzustand-store-creator\u002FSKILL.md",[],[],{"skillNo":103,"name":104,"nameZh":6,"description":105,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":98,"licenseFileUrl":6,"sourceHtmlUrl":106,"categories":107,"keywords":108,"publishedAt":20},"01M79AMZKP4YDEZ7EHG1Y7PP74","zero-trust-config-helper","Configure with zero trust config helper operations. Auto-activating skill for Security Advanced.\nTriggers on: zero trust config helper, zero trust config helper\nPart of the Security Advanced skill category. Use when configuring systems or services. Trigger with phrases like \"zero trust config helper\", \"zero helper\", \"zero\".","https:\u002F\u002Fgithub.com\u002Fjukeyman\u002Fjukeyman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fzero-trust-config-helper\u002FSKILL.md",[],[],{"skillNo":110,"name":111,"nameZh":6,"description":112,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":98,"licenseFileUrl":6,"sourceHtmlUrl":113,"categories":114,"keywords":115,"publishedAt":20},"01M79AMJSBCEJQNBTYNAHYN5HM","zapier-integration-helper","Assist with zapier integration helper operations. Auto-activating skill for Business Automation.\nTriggers on: zapier integration helper, zapier integration helper\nPart of the Business Automation skill category. Use when working with APIs or building integrations. Trigger with phrases like \"zapier integration helper\", \"zapier helper\", \"zapier\".","https:\u002F\u002Fgithub.com\u002Fjukeyman\u002Fjukeyman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fzapier-integration-helper\u002FSKILL.md",[],[],{"skillNo":117,"name":118,"nameZh":6,"description":119,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":98,"licenseFileUrl":6,"sourceHtmlUrl":120,"categories":121,"keywords":122,"publishedAt":20},"01M79AHJZGVMARS13VFQYRR1MP","yaml-config-validator","Validate yaml config validator operations. Auto-activating skill for DevOps Basics.\nTriggers on: yaml config validator, yaml config validator\nPart of the DevOps Basics skill category. Use when configuring systems or services. Trigger with phrases like \"yaml config validator\", \"yaml validator\", \"yaml\".","https:\u002F\u002Fgithub.com\u002Fjukeyman\u002Fjukeyman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fyaml-config-validator\u002FSKILL.md",[],[],{"skillNo":124,"name":125,"nameZh":6,"description":126,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":98,"licenseFileUrl":127,"sourceHtmlUrl":128,"categories":129,"keywords":130,"publishedAt":20},"01M79AHGDZRN0020RDQSQDPAM8","xvary-stock-research","Thesis-driven equity analysis from public SEC EDGAR and market data; \u002Fanalyze, \u002Fscore, \u002Fcompare workflows with bundled Python tools (Claude Code, Cursor, Codex).","https:\u002F\u002Fgithub.com\u002Fjukeyman\u002Fjukeyman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fxvary-stock-research\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fjukeyman\u002Fjukeyman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fxvary-stock-research\u002FSKILL.md",[],[],{"skillNo":132,"name":133,"nameZh":6,"description":134,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":98,"licenseFileUrl":6,"sourceHtmlUrl":135,"categories":136,"keywords":137,"publishedAt":20},"01M79AHCYJ9FV9RMHQ24HDRN33","xss-vulnerability-scanner","Scan xss vulnerability scanner operations. Auto-activating skill for Security Fundamentals.\nTriggers on: xss vulnerability scanner, xss vulnerability scanner\nPart of the Security Fundamentals skill category. Use when working with xss vulnerability scanner functionality. Trigger with phrases like \"xss vulnerability scanner\", \"xss scanner\", \"xss\".","https:\u002F\u002Fgithub.com\u002Fjukeyman\u002Fjukeyman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fxss-vulnerability-scanner\u002FSKILL.md",[],[]]