drshailesh88

Transforms research and knowledge base material into information-dense infographic copy—clear, scannable, authoritative, and reference-worthy. Use when converting clinical algorithms, decision trees, comparison data (drug vs drug, treatment options), trial results, myth vs truth content, patient preparation guides, checklists, or sequential process workflows into structured copy ready for single-image infographic formats. Supports multiple infographic types including hero stats, dense multi-section layouts, side-by-side comparisons, myth-busters, step-by-step processes, and patient checklists. Outputs structured copy with compressed noun-heavy phrasing, specific numbers, trial citations, and JSON-formatted handoff data for downstream infographic generation.

Manages all other skills by detecting capability gaps, proposing new skills, and keeping the system registry in sync. Use when the user encounters something the system cannot do, wants to log a capability gap, review the skill backlog, propose or build a new skill, analyze recurring unmet needs, or run sync pipelines to update context files (CLAUDE.md, GEMINI.md, AGENTS.md) after skill changes.

Template-driven medical infographics using the AntV Infographic framework. Use when creating structured infographics from clinical data, trial results, or patient education content using pre-built templates for hero stats, comparison layouts, process flows, myth-busters, and checklists. Outputs publication-ready HTML/PNG infographics with JACC/NEJM-grade design tokens.

Declarative, grammar-based charting using AntV G2 for complex medical visualizations. Use when creating forest plots, Kaplan-Meier curves, funnel plots, waterfall charts, or any statistical/clinical chart that requires grammar-of-graphics composition with medical-journal-grade styling and accessibility-validated color palettes.

Publication-grade design tokens and utilities for Nature/JACC/NEJM quality graphics. Use when generating charts, infographics, animations, or any visual content that requires medical-journal-grade color palettes, typography, accessibility-validated contrast ratios, and consistent branding. Provides Python token APIs, colorblind-safe palettes, G2 chart templates, AntV infographic templates, Vizzu animation presets, and Manim integration for animated medical explainers.

Content OS orchestrator - the master skill that produces ALL content types from one seed idea (forward mode) or splits long-form content into short-form pieces (backward mode). Invokes research, writing, quality review, and visual generation skills in a coordinated pipeline. Long-form content goes through full quality gates; short-form gets quick accuracy pass.

Parallel search across PubMed, Perplexity, and your knowledge base. Searches all sources simultaneously and synthesizes findings with citations. Faster evidence gathering for clinical questions.

Rapid topic mastery for video/content prep. Takes a topic → generates 5 research questions → parallel PubMed + web search → outputs McKinsey-style brief in 5 minutes. Use BEFORE recording videos or writing content.

Process PDFs, Word docs, and other documents for Clawdbot

Automatic backup of Notion content to GitHub as markdown files

Personal life management - brain dumps, reviews, habits

Read and write to Notion databases and pages

A memory palace for storing and retrieving personal thoughts, reflections, and memories

Brief description of what this skill does

Structured interrogation that writes every decision to disk with unique IDs, structured records, and traceability. Produces a decision graph that downstream commands (write-a-prd, prd-to-gsd, prd-to-ralph) compile — not re-interview. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".

COMPILE a production-grade PRD from decision artifacts on disk. Reads grill logs, decision indexes, and context files — does NOT re-interview. Every claim traces to a decision ID. Untraced claims are flagged as assumptions. Use when the user wants a PRD that will feed downstream AI builders such as /playbook:prd-to-gsd and /playbook:prd-to-ralph.

Senior PostgreSQL database engineer. Reads .planning/data-requirements.md (from /data-grill) and designs a future-proof database: Drizzle ORM schemas, migration SQL, anti-pattern validation, visual diagrams, and documented decisions. Use AFTER running /data-grill. Use when designing a new database, extending an existing schema, or reviewing database quality. Never use without data requirements — run /data-grill first.

Extract the COMPLETE capability surface of any module or app — including features that came in through libraries you never explicitly asked for. Uses 3 layers: code extraction, library enrichment, and runtime crawl. Use BEFORE writing any test specs, QA documents, or feature docs. Use when you need to know everything a module can do. Use after building any feature.

Senior cloud infrastructure engineer. Reads .planning/infra-requirements.md (from /infra-grill) and designs the complete hosting setup: platform selection, deployment pipeline, monitoring, file storage, CDN, email, and environment management. Generates config files. Explains every decision in plain English. Use AFTER running /infra-grill. Use when setting up hosting for a new project, changing platforms, or scaling infrastructure.