Curated AI & Dev Workflows
A curated your AI and Codex distribution of MIT-licensed engineering, AI/ML, and productivity workflows, matured for automatic routing. It includes 42 focused Skills for requirements, specs, tickets, multi-agent spec implementation, TDD, debugging, review, session retrospectives, architecture, research, AI model development, data remediation, statistical ML best practices, J-space cognitive reasoning, autonomous goal contracts, skill conductor authoring, repository safety and setup, TypeScript package boundaries, workflow design, handoffs, teaching, course exercise scaffolding, and long-form writing. More
Skills 42 in the ChatGPT listing
AI Data Remediation Self-healing data pipeline layer using semantic anomaly clustering, AST-validated lambda transformations, and zero-loss mathematical reconciliation. AI Engineering Design, train, optimize, deploy, and evaluate production machine learning and LLM systems. Code Review Review changed code against repository coding standards and original specification intent. Codebase Design Shared vocabulary and patterns for designing deep modules with narrow interfaces and clean seams. Diagnosing Bugs Diagnose hard bugs, intermittent flakes, and performance regressions using a tight feedback loop. Domain Modeling Build and sharpen a project's domain model, ubiquitous language, and architectural decision records. Engineering Workflow Guide Route engineering, AI/ML, cognitive, or productivity tasks to the narrowest effective specialist skill. Git Safety Guardrails Safeguard repositories against destructive, irreversible, or history-rewriting Git operations. Goal Prompt Synthesis Design and synthesize high-leverage autonomous goal prompts and contracts for unattended execution. Grill Me Interview the user relentlessly to sharpen an idea, requirement, or decision before execution. Grill with Docs Interview the user to stress-test a design while simultaneously recording domain terms and architectural decisions in project documentation. Grilling Relentlessly interview the user round-by-round to stress-test thinking and expose unexamined assumptions. Handoff Compact current conversation context, decisions, evidence, and next actions into a portable markdown handoff for a fresh agent session. Implement Build scoped code changes and run verification from an approved specification or plan. Implement Spec Execute a full specification across task tickets using isolated subagent branches into a unified PR. Improve Codebase Architecture Survey codebases for shallow modules, weak seams, and deepening opportunities, producing a visual report. J-Space Reasoning Operate the agent's inner cognitive workspace for multi-step reasoning, long-horizon planning, deep debugging, and calibrated self-monitoring. Migrate to Shoehorn Migrate unsafe TypeScript test assertions to @total-typescript/shoehorn with explicit fixture intent. ML Best Practices Statistical machine learning best practices, exploratory data analysis, feature engineering, and rigorous model evaluation. Prototype Build a throwaway prototype to answer a specific design, state model, or UI exploration question. Research Investigate a technical question against high-trust primary sources and capture findings as a cited Markdown note. Resolving Merge Conflicts Resolve in-progress git merge or rebase conflicts by intent traced to primary sources. Retro Conduct a retrospective on a coding session to systematically improve agent environment, navigation pointers, automated checks, coding standards, tool economy, or AGENTS.md instructions. Scaffold Exercises Scaffold course, workshop, or tutorial exercises following repository conventions. Setup Engineering Workflows Configure repository issue-tracking, triage-label, domain-doc, and agent-instruction conventions. Setup Pre-Commit Configure pre-commit quality checks with Husky and lint-staged while preserving package manager conventions. Setup TS Deep Modules Enforce TypeScript package boundaries, entry points, and cyclic dependency rules with dependency-cruiser. Skill Conductor Author, refine, evaluate, and package agent skills across their full lifecycle. TDD Implement features and bug fixes test-first using red-green-refactor cycles. Teach Teach a technical concept interactively using the workspace as an active learning lab with durable learning records. To Questionnaire Transform unknown requirements and stakeholder dependencies into a structured questionnaire. To Spec Synthesize conversation and codebase context into an unambiguous, buildable technical specification. To Tickets Decompose an approved specification or plan into ordered, dependency-linked tracer-bullet implementation tickets. Triage Classify, verify, and prepare external bug reports and feature requests into agent-ready briefs. Wait What Re-pitch an explanation or proposal from a simpler angle with reset assumptions and plain English. Wayfinder Map and navigate large, uncertain multi-session efforts through a shared graph of decision tickets. Wizard Generate an interactive bash wizard to guide humans through manual setup, dashboard, or credential steps. Workflow Designer Specify recurring operational, review, or content workflows with explicit triggers, inputs, actions, and ownership. Writing Beats Develop long-form writing through an interactive progression of narrative and argumentative beats. Writing for Agents Author and refine agent-facing instructions, skills, AGENTS.md files, and context pointers. Writing Fragments Capture and refine raw ideas, quotes, and observations before committing to an article outline. Writing Shape Shape raw notes, transcript fragments, and research into a structured, coherent article draft.