An AI operator whose brain is auditable markdown
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Updated
Oct 5, 2026 - HTML
An AI operator whose brain is auditable markdown
🥊 Rate-hike coach for solo consultants who freeze on the conversation. HOW TO USE: Open the live app (demo auto-plays → click 'Start drilling') OR clone this repo & drop the folder into a Claude Project — same coach, no app needed. 4 modes: 🏋️ Pre-Game (prep), 🔄 Halftime (reset), ⏱️ Timeout (live call), 📓 Post-Game (debrief).
Claude Code plugin for spec-driven development alongside Interpretable Context Methodology (ICM).
Reusable Interpretable Context Methodology (ICM) workspace template for filesystem-based AI agent workflows
A coaching system made using ICM methodology for competitive programmers who write two-pointer and sliding window solutions by feel and get bitten by bugs they can't explain.
Folder-based AI ghostwriter that drafts my email in my own voice — Clief Comp #8 - The Wild Card
ECC + Interpretable Context Methodology: a single-agent Claude Code plugin with readable workspaces, on-demand context, and inspectable run artifacts.
Stop losing 30 minutes re-orienting after a project switch. The repo remembers; this turns its trail into a re-entry map.
A folder template for running one Claude Code assistant as chief of staff across all your projects. Plain markdown, no framework.
CCA (Convergent Context Architecture) is an agnostic interoperability and evolution layer for filesystem-native agent context, connecting ICM, LLM Wiki patterns, AI ecosystem standards, and human knowledge methodologies to bridge human and agent workflows without replacing their underlying conventions.
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