43 results across 6 categories — filter, sort, find your next favorite.
Rules for human-AI collaborative coding covering delegation, review, and maintaining code ownership.
A personal work activity tracking system with automatic capture, manual annotations, AI summaries, and natural language queries.
A system where AI agents review pull requests for code quality, consistency, security, and adherence to conventions.
Teaching AI agents to handle, diagnose, and recover from errors covering retries, fallbacks, and escalation.
A comprehensive set of rules for Cursor AI when working on TypeScript projects covering style, patterns, and pitfalls.
How to specify a codebase refactoring for an AI agent covering scope, safety constraints, and validation.
A specification for orchestrating multiple AI agents covering task delegation, conflict resolution, and shared context.
Patterns for maintaining persistent context across AI agent sessions covering structure, storage, and pruning.
Bootstraps an AI agent on the BotDocs CLI: ingest existing skills, search and install team libraries, sync, publish, and manage teams from the terminal across Claude, Claude Code, Cursor, Codex, Copilot, Windsurf, Gemini, Antigravity, OpenCode, and ChatGPT.
Best practices for CLAUDE.md files covering project context, coding conventions, tool usage, and session management.
A system where raw source material is compiled by an LLM into a structured, interlinked markdown wiki with summaries, backlinks, and an auto-maintained index.
The official skill for turning a project, chat transcript, or folder of notes into a properly-structured BotDoc draft using your LLM.