By xobotyi
Agentic workflow mechanics: CLAUDE.md instruction quality and structured context handoff
CLAUDE.md instruction quality: writing effective project instructions, diagnosing why Claude ignores rules, routing content to the right layer, and systematic improvement. Invoke whenever task involves any interaction with CLAUDE.md files — writing, reviewing, auditing, improving, or debugging instruction compliance.
Structured work handoff across context boundaries: triage decisions, constraints, and remaining work into a prompt-quality transfer document. Invoke whenever task involves handing off work — session restart, teammate delegation, async resumption, or any context boundary crossing.
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Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Open-source contribution discipline: issue writing, pull request creation, and contribution etiquette
Git commit workflow: atomic commits, validation, conventions
Status line with context window, cost, and model info
Structured planning pipeline: discovery, design documents, technical designs, task decomposition, task creation, and technical diagramming
Infrastructure management discipline: Ansible automation, container orchestration, Proxmox virtualization, Unraid NAS, and network architecture
npx claudepluginhub xobotyi/cc-foundry --plugin the-workflowAI artifact engineering: prompts, skills, subagents, and output styles
The mentor framework for Claude Code: a self-contained process layer with per-session modes, a work-item lifecycle with a hard Definition of Done, budget-aware autonomy, visual verification, and safety rules that travel into every subagent
Claude Code workflow patterns: prompting, CLAUDE.md maintenance, multi-agent orchestration
Evidence-gated AI coding workflow: scan → analyze → plan → TDD → execute → fix → verify → review, powered by Codebase Memory MCP >= 0.9.0 with optional Serena LSP intelligence. Includes blast-radius planning, test/cycle gates, independent review, and Windows Git Bash hook auto-resolution.
Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.
A growing collection of Claude-compatible academic workflow bundles. Covers scientific figures, manuscript writing and polishing, reviewer assessment, citation retrieval, data availability, paper reading, literature search, response letters, paper-to-PPTX conversion, and evidence-grounded Chinese invention patent drafting. Rules are organized as reusable skill folders with explicit workflows and quality checks.