raian-pollock
Community@raian-pollock
raian-pollock publishes skills for LLM hallucination reduction, inferential reasoning hygiene, model selection, and SERP-based SEO content architecture.
Agent Skills by raian-pollock
Showing 9 vetted skills indexed across 1 GitHub repositories.
raian-pollockhallucination-reduction
Apply few-shot anchoring, temperature tuning, and Chain-of-Verification critics to reduce LLM hallucination.
raian-pollockseo-cluster
Groups keywords by Google SERP overlap and designs hub-and-spoke content clusters with internal link matrices.
raian-pollockskill-builder
Build and audit agent skills against a nine-dimension quality rubric.
raian-pollockinferential-discipline
Applies evidence tagging, bias checks, and falsifier framing to strategic and quantitative claims.
raian-pollockfind-email
Locates and verifies a specific person's email address through a tiered free-to-paid escalation ladder.
raian-pollockmodel-pick
Selects current LLM candidates via live registry queries, benchmarks, and pricing research.
raian-pollockseo-geo
Audit websites for AI search visibility across Google AI Overviews, ChatGPT, and Perplexity.
raian-pollockthink-better
Generates a structured pre-task opener with goal, premortem, verifier, and routing before tool calls.
raian-pollockseo-schema
Detect, validate, and generate Schema.org JSON-LD structured data for web pages.
Frequently Asked Questions About raian-pollock
FAQPage SchemaWhat tasks can I accomplish with raian-pollock's skills?▼
You can reduce LLM hallucination on factual output, enforce statistical reasoning hygiene on ROI and ranking claims, select frontier models before adding external LLM calls, cluster keywords by SERP overlap, generate Schema.org JSON-LD, optimize for AI Overviews and Perplexity, and find verified contact emails.
Who are these skills designed for?▼
They target engineers integrating external LLM APIs, SEO strategists planning content architecture and structured data, growth operators running cold outreach to investors or journalists, and analysts who need disciplined inferential reasoning on demand, ROI, and prioritization claims.
How do the skills trigger during a session?▼
Most skills auto-trigger on contextual cues: hallucination-reduction fires on verifiable claims, model-pick fires before any external LLM call is coded, find-email fires on prospecting requests, and think-better fires on multi-step tasks. seo-cluster and seo-schema are user-invokable with keyword or URL arguments.
Are these skills open source and what do they cost?▼
The seo-geo and seo-schema skills carry explicit MIT licenses, with seo-schema sourced from the AgriciDaniel/claude-seo repository. Other skills list no license or fee. The find-email skill itself is free but may escalate to paid services like RocketReach only with explicit user approval.
What prerequisites or dependencies do these skills require?▼
Skills are prompt-level procedures with no runtime dependencies stated. find-email optionally uses free tiers of Anymail Finder, Hunter.io, or Surfe. model-pick requires web search access for release tracking, and seo skills operate on user-supplied URLs or seed keywords.