apps/api/app/skills/ai_lead_rubric/SKILL.md
--- name: AI Lead Scoring engine: markdown version: 1 category: sales tags: [leads, scoring, AI, qualification, BANT] auto_trigger: "Score leads for AI platform fit using the AI Lead Scoring rubric" inputs: - name: entity_id type: string description: "Knowledge entity UUID to score" required: true --- ## Description Score leads 0-100 based on likelihood of becoming a customer for an AI/agent orchestration platform. ## Scoring Rubric (0-100 total) | Category | Max Points | What
npx skillsauth add nomad3/servicetsunami-agents AI Lead ScoringInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Score leads 0-100 based on likelihood of becoming a customer for an AI/agent orchestration platform.
| Category | Max Points | What to look for | |---|---|---| | hiring | 25 | Job posts mentioning AI, ML, agents, orchestration, automation, platform engineering | | tech_stack | 20 | Uses or evaluates LangChain, OpenAI, Anthropic, CrewAI, AutoGen, or similar agent frameworks | | funding | 20 | Recent funding round (Series A/B/C within 12 months scores highest) | | company_size | 15 | Mid-market (50-500 employees) and growth-stage companies score highest | | news | 10 | Recent product launches, partnerships, expansions, AI initiatives | | direct_fit | 10 | Explicit mentions of orchestration needs, multi-agent workflows, workflow automation |
{relations_text}
Return ONLY a JSON object with this exact structure:
{
"score": "<integer 0-100>",
"breakdown": {
"hiring": "<integer 0-25>",
"tech_stack": "<integer 0-20>",
"funding": "<integer 0-20>",
"company_size": "<integer 0-15>",
"news": "<integer 0-10>",
"direct_fit": "<integer 0-10>"
},
"reasoning": "<one paragraph explaining the score>"
}
tools
--- name: Luna Learn from Media engine: markdown category: meta tags: [learning, video, transcription, knowledge, meta] auto_trigger: "When the user sends a YouTube/Instagram/short-form video URL or asks you to 'learn this', 'study this clip', 'turn this into a skill', or otherwise convert media into an installable capability." inputs: - name: source_url type: string description: "URL of the media (YouTube, youtu.be, Instagram reel/post). Optional if attachment_path supplied." requ
tools
--- name: Levi SRE Platform engine: agent platform_affinity: claude_code fallback_platform: codex category: infrastructure tags: [levis, sre, ai-sre-platform, mdm, service-now, status, weekly-trackers] version: 1 tool_groups: [github, knowledge_readonly, drive, meta] inputs: - name: message type: string description: Levi's SRE platform task, weekly tracker, repo status, incident prep, or meeting briefing required: true auto_trigger: "Levi, Levi's, ai-sre-platform, SRE tracker, week
tools
--- name: Levi MDM PC9 Triage engine: agent platform_affinity: claude_code fallback_platform: codex category: infrastructure tags: [levis, mdm, pc9, s4, service-now, affiliate-activation, product-data] version: 1 tool_groups: [github, knowledge_readonly, drive, meta] inputs: - name: message type: string description: PC9, MDM, affiliate activation, S4, plant assignment, or ServiceNow evidence request required: true auto_trigger: "PC9, MDM, S4, Plant 2011, affiliate activation, drop
tools
--- name: Integral SRE Ops engine: agent platform_affinity: claude_code fallback_platform: codex category: infrastructure tags: [integral, sre, fxcw, jenkins, nexus, grafana, opentsdb, haproxy, alerts, rca] version: 1 tool_groups: [github, knowledge_readonly, drive, meta] inputs: - name: message type: string description: Integral SRE task, alert triage, RCA, Jenkins/Nexus/Grafana/OpenTSDB/HAProxy investigation required: true auto_trigger: "Integral, FXCW, OpenTSDB, Grafana, Jenkins