Runs a multi-LLM discovery pipeline (Default 5-step or Expanded 7-step) that chains analysis, refinement, chaos-checking, and consolidation across LLMs, then breaks results into actionable VTS tasks. Use when the user wants to explore, validate, or plan an…
jdonohoo/vern-bot
SkillsMP has collected 24 skills from jdonohoo/vern-bot. Open a skill to review its source and details.
- Latest recorded source activity
- SkillsMP catalog refreshed
- skills collected
- 24
- GitHub stars
- 15
- GitHub forks
- 2
Skills in this repository
Showing 24 of 24 collected skills.
Delivers high-quality, production-grade code using Opus-level reasoning — clean architecture, thorough error handling, tests, and documentation. Use when the user asks for elegant solutions, quality-first code, architectural excellence, or best-practice…
Performs deep, multi-pass exploration of a problem using Claude sub-agents — runs 3+ planning passes from different angles, then synthesizes insights into a holistic solution. Use when the user wants deep thinking, creative exploration, unconventional…
Generates comprehensive code and thorough analysis using OpenAI Codex sub-agents — handles large-scale code generation, exhaustive edge case coverage, and detailed boilerplate scaffolding. Use when the user wants comprehensive output, large code generation,…
Executes tasks immediately using Gemini sub-agents in --yolo mode with zero confirmation prompts — prioritizes speed and action over caution. Use when the user wants fast execution without guardrails, rapid prototyping, quick-and-dirty solutions, or 'just do…
Generate a new Vern persona using AI
Rerun a discovery pipeline on an existing project. Cleans previous output and re-runs with fresh config.
Run VernHole on existing discovery output. Point the council at a consolidation or master plan and get fresh perspectives.
Create a new discovery idea folder with standardized input/output structure. Use when the user wants to prepare an idea for discovery.
Historian Vern - Index a directory of input files into a structured concept map with source references.
VernHole / K-Hole Vern - Be careful what you wish for. Random Vern personas do discovery on your idea. The more the merrier.
Post-hoc Oracle operations - consult the Oracle on existing VernHole output or apply an Oracle vision to rewrite VTS tasks.
Oracle Vern - The ancient seer who reads the council's chaos and finds the signal. Pattern recognition across perspectives.
Academic Vern - Needs more research. Cites sources, considers prior art, wants peer review.
Architect Vern - Systems design, scalable architecture, production-grade thinking. The blueprints before the build.
Enterprise Vern - Needs 6 meetings and a committee first. Process, governance, compliance.
Inverse Vern - Contrarian takes only. Whatever the consensus is, he's against it.
Vern the Mediocre - missed his alarm, throwing down code fast. Uses Sonnet, watches token consumption.
Nyquil Vern - brilliant as Vernile but the NyQuil is kicking in. Haiku-level brevity.
Optimist Vern - Everything will be fine! Sunny-side-up. Encouragement and can-do energy.
Paranoid Vern - What could possibly go wrong? Everything. Risk assessment and failure mode specialist.
Retro Vern - We solved this with cron jobs and a CSV in 2004. Grizzled veteran, historical perspective.
Startup Vern - MVP or die trying. Lean, fast, validate assumptions, iterate or pivot.
UX Vern - Cool architecture, but can the user find the button? Empathy-driven design thinking.