v1truv1us
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- ▌ Test Driven Development · v1truv1us-ai-eng-system bundleRed-Green-Refactor workflow: write tests before implementation, maintain coverage. Use when implementing logic, fixing bugs, or changing behavior.
- ▌ Check Agent Compatibility · v1truv1us-ai-eng-system bundleRun the full repository compatibility pass: scanner score, startup path, validation loop, and docs reliability.
- ▌ Source Driven Development · v1truv1us-ai-eng-system bundleGround every framework decision in official documentation. Use when you want authoritative, source-cited code for any framework or library.
- ▌ Prompt Engineering · v1truv1us-ai-eng-systemComprehensive prompt engineering for coding agents covering structured instruction design, few-shot prompting, chain-of-thought, decomposition, agent workflow patterns, and reliability techniques for multi-step pipelines.
- ▌ Incremental Implementation · v1truv1us-ai-eng-system bundleDeliver changes in thin vertical slices. Use when implementing a feature or refactor that touches more than one file.
- ▌ Run Learning Retrospective · v1truv1us-ai-eng-system bundleEvaluate learning progress, identify blockers, and adjust the learning plan
- ▌ Context Engineering · v1truv1us-ai-eng-systemFeed agents the right information at the right time. Use when starting a session, switching tasks, or when output quality drops due to missing or stale context.
- ▌ Fix Merge Conflicts · v1truv1us-ai-eng-systemResolve merge conflicts non-interactively, validate build and tests, and finalize conflict resolution
- ▌ Incentive Prompting · v1truv1us-ai-eng-systemResearch-backed prompting techniques for improved AI response quality (+45-115% improvement). Use when optimizing prompts, enhancing agent instructions, or when maximum response quality is critical. Invoked by /ai-eng/optimize command. Includes expert persona, stakes language, step-by-step reasoning, challenge framing, and self-evaluation techniques.
- ▌ What Did I Get Done · v1truv1us-ai-eng-systemSummarize authored commits over a user-specified time period into a concise update
- ▌ Multimodal Corpus Ingestion · v1truv1us-ai-eng-system bundleNormalize mixed inputs like code, docs, PDFs, screenshots, diagrams, audio, and transcripts into a structured corpus. Use when the task depends on combining multiple artifact types before analysis or retrieval.
- ▌ Planning And Task Breakdown · v1truv1us-ai-eng-system bundleDecompose specs into small, verifiable tasks with acceptance criteria and dependency ordering. Use when you have a spec and need implementable units.
- ▌ Content Optimization · v1truv1us-ai-eng-systemEnhance any content type using research-backed techniques. Optimize AI prompts with step-by-step approval, improve code quality, refine database queries, enhance documentation, optimize commit messages, and improve communication. Wraps incentive-prompting skill with content-type detection.
- ▌ Automate Me · v1truv1us-ai-eng-systemUse for "automate me", "create/update/refresh my -mode skill", "turn/capture my preferences or working style into a skill", or wanting agents to follow how the user works. Drafts or revises a personal -mode skill via create-skill + unslop, optionally pulling fresh evidence from recent transcripts.
- ▌ Poteto Mode · v1truv1us-ai-eng-systempoteto's agent style for concise, detailed responses, deliberate subagents, unslopped prose, simple code, and verified work. Use for poteto, /poteto-mode, or requests to work in this style.
- ▌ Using Agent Skills · v1truv1us-ai-eng-system bundleDiscovery and invocation of all skills, commands, and agents. Decision tree for task-to-skill mapping. Core operating behaviors for agents. Use when unsure which skill or agent to use.
- ▌ Idea Refine · v1truv1us-ai-eng-systemStructured divergent/convergent thinking to turn vague ideas into concrete proposals. Use when you have a rough concept that needs exploration before committing to a spec.
- ▌ Code Simplification · v1truv1us-ai-eng-system bundleSimplifies code for clarity without changing behavior. Use when code works but is harder to read, maintain, or extend than it should be.
- ▌ Continuous Learning · v1truv1us-ai-eng-system bundleExtract reusable patterns from sessions, score confidence, and promote high-confidence instincts into durable skills. Use after completing significant work.
- ▌ Cross Repo Refactor · v1truv1us-ai-eng-system bundleCoordinate a multi-repo refactor by fanning out subagents per repo onto one feature branch. Use for cross-repo changes that touch multiple repositories.
- ▌ Shipping And Launch · v1truv1us-ai-eng-system bundleReview changes, open PRs, run pre-launch checks, staged rollouts, and rollback. Use when preparing to ship to production or closing out a branch.
- ▌ Sync Skill Taxonomy · v1truv1us-ai-eng-system bundleClassify every skill in skills/ as user-invoked or model-invoked, ensure disable-model-invocation is set on user-invoked skills, and inject metadata.category on all. Run after adding or changing skills, or when token-cost/routing quality is being reviewed. Use for "sync skill taxonomy", "classify skills", "fix disable-model-invocation", or "skill token audit".
- ▌ Workflow From Chats · v1truv1us-ai-eng-system bundleExtract durable working preferences from recent Cursor chats and convert them into skills, rules, or workflow docs. Use when asked to learn preferences, mine feedback, personalize workflows, or generate team/person-specific agent guidance.
- ▌ CI CD And Automation · v1truv1us-ai-eng-system bundleDesign CI/CD pipelines, quality gates, and iterate on failing PR checks until green. Use when setting up pipelines or fixing CI on a branch.
- ▌ Create Learning Path · v1truv1us-ai-eng-system bundleBuild a personalized learning roadmap with milestones and practice checkpoints
- ▌ Dreaming Consolidator · v1truv1us-ai-eng-system bundleRead the auto-memory graph (~/.claude/projects/*/memory/*.md), find cross-session patterns, and write a digest. The skill never mutates memory — output goes to a fresh file the user reads. The cron-driven version is the daily-brief-sdk dream-digest workflow, which writes to a separate dedicated directory.
- ▌ Ralph Wiggum · v1truv1us-ai-eng-system bundleContinuous iteration loop pattern for well-defined tasks with clear completion criteria. Use when getting tests to pass, implementing features with automatic verification, bug fixing with clear success conditions, or running automated development overnight. Provides prompt templates, safety guidelines, and integration patterns for ai-eng-system workflows.
- ▌ Context Budget · v1truv1us-ai-eng-systemContext window management for AI agents. Optimize context usage, prevent overflow, and ensure critical information is always available. Use when working with large codebases or long sessions.
- ▌ Comprehensive Research · v1truv1us-ai-eng-system bundleMulti-phase research orchestration for thorough codebase, documentation, and external knowledge investigation. Invoked by /ai-eng/research command. Use when conducting deep analysis, exploring codebases, investigating patterns, or synthesizing findings from multiple sources.
- ▌ Knowledge Architecture · v1truv1us-ai-eng-system bundleBuild a static-first knowledge architecture using file-backed domain maps, rules, hypotheses, and durable references. Use for knowledge architecture, learning systems, decision context, and long-lived team memory without runtime memory tooling.
- ▌ Make Pr Easy To Review · v1truv1us-ai-eng-system bundlePrepare PRs for review: clean noisy history, improve descriptions, add reviewer guidance without changing behavior. Use when a PR is hard to review.
- ▌ NPM Trusted Publishing · v1truv1us-ai-eng-system bundlePublish npm packages via GitHub Actions with OIDC trusted publishing and provenance. Use when setting up automated npm publishes, debugging ENEEDAUTH/E404 errors, configuring provenance attestations, or setting up a new package for publication.
- ▌ Playwright · v1truv1us-ai-eng-system bundleWrite, run, and maintain reliable end-to-end tests with Playwright. Use for test generation, CI integration, trace debugging, and cross-browser validation.
- ▌ Plugin Dev · v1truv1us-ai-eng-system bundleThis skill should be used when creating extensions for Claude Code or OpenCode, including plugins, commands, agents, skills, and custom tools. Covers both platforms with format specifications, best practices, and the ai-eng-system build system.
- ▌ How · v1truv1us-ai-eng-systemUse for "how does X work", code walkthroughs before changing something, and placement / ownership / layering questions ("where should this live", "which package owns this", "is this the right layer"). Explains subsystem architecture, runtime flow, onboarding mental models. Can critique architecture. Use why for motivation.
- ▌ Why · v1truv1us-ai-eng-systemUse for 'why does X work this way', 'why we picked Y', design rationale, regressions, postmortems, or data-backed thresholds. Discovers available MCPs and queries each evidence category (source control, issue tracker, long-form docs, real-time chat, infrastructure observability, error tracking, product analytics warehouse) in parallel, then returns a cited read on decisions and tradeoffs. Use how for runtime behavior.
- ▌ Repo Audit · v1truv1us-ai-eng-system bundlePrincipal-engineer repository audit and prioritized improvement plan. Four phases - discovery, evidence-based audit, strategy, task plan - with file:line citations and severity ratings. Analysis only, no code changes. Use when asked to "audit this repo", "project review", "health check", "improvement plan", or after a model upgrade to re-baseline important projects.
- ▌ Xcodebuild · v1truv1us-ai-eng-system bundleBuild, test, and archive iOS/macOS apps with xcodebuild and Xcode CLI tools. Use for CI integration, scheme management, simulator control, and build troubleshooting.
- ▌ Control CLI · v1truv1us-ai-eng-system bundleBuild a local harness to drive, inspect, and profile an interactive CLI or TUI. Use for CLI UX checks, startup regressions, hangs, or prompt-flow verification.
- ▌ Create Goal · v1truv1us-ai-eng-system bundleTransform a vague idea, request, or prompt into a concrete, actionable goal with clear success criteria, scope boundaries, and measurable outcomes. Use when the user has an intention but needs help defining what "done" looks like.
- ▌ Docs Canvas · v1truv1us-ai-eng-system bundleRender a documentation-style Cursor Canvas that organizes architecture notes, API references, walkthroughs, and how-tos into a navigable layout with sections, tables of contents, and cross-references. Use when the user asks for a docs canvas, documentation overview, architecture walkthrough, API reference page, or wants to render structured documentation as an interactive canvas.
- ▌ Interrogate · v1truv1us-ai-eng-system bundleUse for "interrogate", "adversarial review", "multi-model review", "challenge this", "stress test this code", "find blind spots", or "tear this apart". Four LLM reviewers challenge changes from independent angles.
- ▌ Orchestrate · v1truv1us-ai-eng-system bundleUse only when the user explicitly types `/ai-eng/orchestrate <goal>` to decompose a large task, spawn a tree of parallel cloud-agent workers/subplanners/verifiers via the Cursor SDK, and collect structured handoffs; do not invoke autonomously.
- ▌ Eval Harness · v1truv1us-ai-eng-system bundleAgent evaluation framework. Measure agent performance, identify weaknesses, and track improvement over time. Use when assessing agent quality, comparing approaches, or validating changes.
- ▌ Git Worktree · v1truv1us-ai-eng-system bundleManage git worktrees for isolated parallel development. Use when running multiple sessions concurrently or working on parallel features.
- ▌ Arena · v1truv1us-ai-eng-systemSpawn N parallel candidates at the same task, pick a base, graft the strongest parts of the losers into it. Use for /arena, 'arena this', 'throw it in the arena', or when one attempt at a non-trivial artifact would lock in the wrong shape.
- ▌ Text Cleanup · v1truv1us-ai-eng-system bundleRemove AI-generated filler, repetition, inflated language, and redundant comments while preserving meaning.
- ▌ Morning Brief · v1truv1us-ai-eng-system bundleDaily briefing synthesizing calendar, tasks, and priorities. Use for "morning brief", "daily briefing", "start my day", or /morning-brief.
- ▌ Research Deep · v1truv1us-ai-eng-system bundleMulti-source deep research with confidence-rated synthesis. Use for "research deeply", "deep dive on", "comprehensive research", or /research-deep.
- ▌ Test Fix Loop · v1truv1us-ai-eng-system bundleSelf-continuing loop that fixes a deliberately failing test, reruns it, and exits cleanly when green. Smallest cooking-routines skill — pairs with the cooking Stop hook to keep iterating past natural stops.
- ▌ Weekly Review · v1truv1us-ai-eng-system bundleProduce a weekly synthesis of authored commits with highlights by bugfix, tech debt, and net-new work
- ▌ Agents Sdk Dev · v1truv1us-ai-eng-system bundleUnified agent application scaffolding across 5 harnesses: Anthropic, Cursor, OpenAI, OpenCode, and Pi. Interactive project generator with live SDK docs, per-harness code patterns, and built-in verification. Use when someone says "create an agent app", "new SDK project", "build with [harness] SDK", "scaffold agent", or wants to verify an existing agent setup.
- ▌ CLI For Agents · v1truv1us-ai-eng-system bundleDesign or review CLIs so coding agents can run them reliably: non-interactive flags, fast actionable errors, idempotency, dry-run, layered --help. Use when building a CLI or adding commands.
- ▌ Coolify Deploy · v1truv1us-ai-eng-system bundleDeploy applications to Coolify self-hosting platform. Use when deploying to Coolify, configuring build settings, setting environment variables, managing health checks, or performing rollbacks.
- ▌ Dynamic Router · v1truv1us-ai-eng-system bundleConductor/subagent routing for tasks across multiple harnesses. Assesses task complexity and intent, then dispatches to the appropriate subagent model via a harness-specific adapter. Supports Anthropic (Claude), Cursor, OpenCode, Codex (OpenAI), and Pi adapters. Use via /dynamic-task command or direct invocation from other skills.
- ▌ Reflect · v1truv1us-ai-eng-systemSpawn three parallel review subagents over the active transcript, surface learnings, and route each to a concrete edit on an existing skill. Use when the user says reflect.
- ▌ Storm Research · v1truv1us-ai-eng-system bundleStanford STORM multi-perspective research method. Runs four sequential phases (multi-perspective scan, contradiction map, synthesis, peer review) in one thread to produce a PhD-level briefing on any topic. Use for "storm research X", "multi-perspective research", "STORM method", or any topic where a single-prompt answer is too shallow.
- ▌ Simplify · v1truv1us-ai-eng-system bundleReview recently changed files for reuse, quality, and efficiency issues, then fix them. Use after completing a change, before declaring done.
- ▌ Grill With Docs · v1truv1us-ai-eng-system bundleExtend grill-me by producing or updating a CONTEXT.md or ADR-style decision record while stress-testing a plan. Use when the user wants to be grilled and wants the shared understanding persisted as a living document.
- ▌ Graphify · v1truv1us-ai-eng-systemKnowledge graph development for LLM applications. Graph storage selection, graph algorithms, extraction from documents/code/websites, entity extraction, Graph RAG, and visualization. Use when building knowledge graphs, graph databases, or LLM graph applications.
- ▌ Gemini Agent Sdk · v1truv1us-ai-eng-system bundleBuild Gemini-backed agent workflows and adapters. Use for Google Gemini API/ADK-style runners, Gemini CLI workflow parity, tool calling, structured outputs, or adding a Gemini variant beside Cursor/OpenCode/Claude runners.
- ▌ Pr Review Canvas · v1truv1us-ai-eng-system bundleGenerate an interactive PR review walkthrough as an HTML page. Fetches PR data via gh API, categorizes files into core vs mechanical changes, adds reviewer annotations, and renders diffs with moved-code detection. Use when the user pastes a GitHub PR URL and asks for a review, walkthrough, or summary, or says \"review this PR\".
- ▌ Knowledge Capture · v1truv1us-ai-eng-system bundleDocument solved problems with context, examples, and gotchas so learnings compound for the team. Use after completing a workflow worth remembering.
- ▌ Prompt Refinement · v1truv1us-ai-eng-system bundleConvert vague requests into compact TCRO prompts with phase-specific constraints. Used by research, specify, plan, and work workflows.
- ▌ Verification Loop · v1truv1us-ai-eng-system bundleContinuous verification after each change, plus claim-based proof when evidence is required. Use when implementing, fixing bugs, or refactoring.
- ▌ Investigation Loop · v1truv1us-ai-eng-system bundleLong-running Jira investigation that self-continues past natural stops until a written hypothesis with evidence citations is produced. Pairs with the cooking Stop hook and hard-stops at 10 iterations.
- ▌ Tdd · v1truv1us-ai-eng-system bundleUse only when the user explicitly asks for TDD, a failing test, or a regression test, OR when the bug has an obvious cheap local test target. Skip when the test path is unclear, expensive, integration-heavy, or not requested.
- ▌ Slack · v1truv1us-ai-eng-system bundleBuild secure, reliable Slack integrations and bots. Use for webhook design, Block Kit UI, Socket Mode, and API best practices.
- ▌ Teach · v1truv1us-ai-eng-system bundleTeach the user a topic through a stateful learning workspace — mission-driven lessons, retrieval practice, cited resources, and durable learning records. Use when the user says teach me, /teach, wants interactive lessons, or is learning something over multiple sessions.
- ▌ Docker · v1truv1us-ai-eng-system bundleBuild, run, and secure Docker containers with current best practices. Use for Dockerfile review, multi-stage builds, Compose orchestration, image hardening, and CI/CD integration.
- ▌ Fix CI · v1truv1us-ai-eng-system bundleFind failing PR checks, inspect logs or external check links, and apply focused fixes
- ▌ Github · v1truv1us-ai-eng-system bundleOperate GitHub repositories, workflows, and PRs efficiently. Use for Actions optimization, PR hygiene, repo maintenance, and team collaboration patterns.
- ▌ Sentry · v1truv1us-ai-eng-system bundleSet up and operate Sentry for error tracking, performance monitoring, and release health. Use for SDK integration, alert tuning, and incident investigation.
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- ▌ Grill Me · v1truv1us-ai-eng-system bundleInterview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when the user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
- ▌ Architect · v1truv1us-ai-eng-system bundleSketch types, signatures, and module structure before code, then stay in the loop while implementation fills in. Use for /architect, 'architect this', 'design this', or non-trivial work where jumping to code would lock in the wrong shape.
- ▌ Graph RAG · v1truv1us-ai-eng-system bundleRelationship-aware retrieval using graph traversal, entity anchors, community expansion, and hybrid vector plus graph search. Use when chunk similarity alone misses paths, entities, or subsystem context.
- ▌ Repurpose · v1truv1us-ai-eng-system bundleAdapt existing content into new formats for different channels. Use for "repurpose this", "turn this into", "adapt for", or /repurpose.
- ▌ SEO Audit · v1truv1us-ai-eng-system bundleFull SEO and performance audit for any website. Use when asked to check SEO, run a lighthouse scan, audit performance, check accessibility, or validate structured data.
- ▌ Control UI · v1truv1us-ai-eng-system bundleBuild a local browser/CDP harness to drive and inspect a web, IDE, or Electron UI. Use for UI verification, screenshots, perf profiles, or reproducing UI bugs.
- ▌ Cursor Sdk · v1truv1us-ai-eng-system bundleGuide building apps, scripts, CI pipelines, and automations with the Cursor TypeScript SDK (`@cursor/sdk`). Use when integrating `Agent.create`, `Agent.prompt`, `Agent.resume`, streaming, MCP servers, local vs cloud runtime, errors, or porting REST `/v1/agents` calls to the SDK. Prefer this skill over memory—the SDK surface evolves and references here are the source of truth.
- ▌ Doc Review · v1truv1us-ai-eng-system bundleStructured document review for structure, clarity, and technical accuracy. Use for "review this doc", feedback, critique, or /doc-review.
- ▌ Loop On CI · v1truv1us-ai-eng-system bundleMonitor PR checks and fix failures until green. Uses gh pr checks as the source of truth for PR-attached checks.
- ▌ Monitoring · v1truv1us-ai-eng-system bundleDesign and operate application observability with metrics, logs, traces, and alerts. Use for SLO definition, dashboard design, on-call runbooks, and incident response.
- ▌ K8S · v1truv1us-ai-eng-system bundleDeploy, manage, and troubleshoot Kubernetes workloads. Use for manifest review, Helm chart validation, resource tuning, RBAC, and cluster operations.