vivekkhimani

Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.

Draft a 90-word personalized first-touch cold email for a [COMPANY] prospect. Takes one company row (from leads_scored.csv or leads_enriched.csv) plus an optional buying signal, and produces a draft that follows the v1 sequence pattern. Use when drafting Email 1 of the 4-touch sequence (outreach/sequence-v1.md). Also triggers on "draft outreach email", "write cold email", "personalize email for {company}".

Enrich a company list with structured data and score against ICP. Phase 1: data enrichment (PhantomBuster SN, Parallel Task Group, SimilarWeb, Firecrawl, SerpAPI). Phase 2: ICP scoring via LLM (icp_score 0-100, optional gate ≥70). Use after company-search and before signal-search. Also triggers on "enrich companies", "ICP scoring", "score companies".

Build a list of companies matching ICP criteria. Use when a client needs a company list — no existing list, wants to expand, or signal-based discovery needs enrichment. Providers: Sales Navigator + PhantomBuster, Parallel FindAll, Firecrawl Agent, BC/FE byproduct, web scraping. Also triggers on "build company list", "find companies", "company search".

Classify and filter contacts from people-search output BEFORE enrichment. Rejects non-ICP contacts and ranks the rest using job tier, industry tier, location tier, company size, and ICP keyword scoring. Saves enrichment credits by only passing qualified contacts downstream. Input: contacts_found.csv. Output: contacts_filtered.csv. Also triggers on "filter contacts", "ICP filter", "rank contacts".

Generate a demo lead list of ~10 enriched contacts with personalized message examples. Use when a demo is requested, a webhook prompt describes a target audience, or someone asks to "create a demo for [client]". Enforces demo mode restrictions (email only, no phone, ~10 contacts). Chains people-search → people-enrichment → message generation.

Execute LinkedIn outreach — send connection requests and personalized messages/InMails to a contact list via PhantomBuster, one profile at a time on a timed loop. Use after people-enrichment when contacts are ready for outreach. Also triggers on "linkedin outreach", "send connection requests", "connect with leads on linkedin", "send linkedin messages", "send inmails", "start outreach", "launch outreach campaign", "put contacts on outreach".

Enrich contacts with work email, phone number, and/or LinkedIn URL. Use when you have a contact list that needs enrichment before outreach. Email waterfall (FullEnrich → Pipe0), phone (BetterContact → FullEnrich). Enforces demo mode (email only, no phone). Also triggers on "enrich contacts", "find emails for", "get phone numbers for".

Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.

FastAPI best practices covering project structure, Pydantic v2 schemas, dependency injection, async handlers, authentication, authorization, transactional service layers, and testing with httpx and pytest.

Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.

Use this skill for any PostgreSQL database work — table design, indexing, data types, constraints, extensions (pgvector, PostGIS, TimescaleDB), search, and migrations. **Trigger when user asks to:** - Design or modify PostgreSQL tables, schemas, or data models - Choose data types, constraints, indexes, or partitioning strategies - Work with pgvector embeddings, semantic search, or RAG - Set up full-text search, hybrid search, or BM25 ranking - Use PostGIS for spatial/geographic data - Set up TimescaleDB hypertables for time-series data - Migrate tables to hypertables or evaluate migration candidates **Keywords:** PostgreSQL, Postgres, SQL, schema, table design, indexes, constraints, pgvector, PostGIS, TimescaleDB, hypertable, semantic search, hybrid search, BM25, time-series

Use when writing, reviewing, or debugging Terraform/OpenTofu modules, tests, CI, scans, or state ops - diagnoses failure mode (identity churn, secrets, blast radius, CI drift, state corruption) with version-aware guards.