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Patterns for maintaining persistent context across AI agent sessions covering structure, storage, and pruning.
Best practices for CLAUDE.md files covering project context, coding conventions, tool usage, and session management.
Compile meeting transcripts and notes into a searchable wiki of decisions, action items, and project context.
A specification for orchestrating multiple AI agents covering task delegation, conflict resolution, and shared context.
The official skill for turning a project, chat transcript, or folder of notes into a properly-structured BotDoc draft using your LLM.
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.
A personal work activity tracking system with automatic capture, manual annotations, AI summaries, and natural language queries.
Teaching AI agents to handle, diagnose, and recover from errors covering retries, fallbacks, and escalation.
A system design for observability covering metrics, logs, alerting rules, incident response, and dashboards.
Rules for human-AI collaborative coding covering delegation, review, and maintaining code ownership.
A systematic methodology for designing, testing, and iterating on prompts covering structure, evaluation, and failure modes.
A specification for building browser extensions covering manifest, content scripts, popup UI, storage, and permissions.