using-agent-skills
Discovery 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.
xcodebuild
Build, test, and archive iOS/macOS apps with xcodebuild and Xcode CLI tools. Use for CI integration, scheme management, simulator control, and build troubleshooting.
workflow-from-chats
Extract 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.
git-worktree
Manage git worktrees for isolated parallel development. Use when running multiple sessions concurrently or working on parallel features.
plugin-dev
This 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.
github
Operate GitHub repositories, workflows, and PRs efficiently. Use for Actions optimization, PR hygiene, repo maintenance, and team collaboration patterns.
agents-sdk-dev
Unified 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.
create-learning-path
Build a personalized learning roadmap with milestones and practice checkpoints
cross-repo-refactor
Coordinate a multi-repo refactor by fanning out subagents per repo onto one feature branch. Use for cross-repo changes that touch multiple repositories.
graph-rag
Relationship-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.
control-ui
Build 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.
control-cli
Build 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.
continuous-learning
Extract reusable patterns from sessions, score confidence, and promote high-confidence instincts into durable skills. Use after completing significant work.
code-simplification
Simplifies code for clarity without changing behavior. Use when code works but is harder to read, maintain, or extend than it should be.
code-review-and-quality
Multi-axis code review with optional strict maintainability mode. Use before merging any change—human, agent, or automation output.
grill-me
Interview 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\".
dynamic-router
Conductor/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.
dreaming-consolidator
Read 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.
docs-canvas
Render 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.
docker
Build, run, and secure Docker containers with current best practices. Use for Dockerfile review, multi-stage builds, Compose orchestration, image hardening, and CI/CD integration.
doc-review
Structured document review for structure, clarity, and technical accuracy. Use for \"review this doc\", feedback, critique, or /doc-review.
debugging-and-error-recovery
Guides systematic root-cause debugging. Use when tests fail, builds break, behavior does not match expectations, or any unexpected error appears.
cursor-sdk
Guide 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.
gemini-agent-sdk
Build 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.
fix-ci
Find failing PR checks, inspect logs or external check links, and apply focused fixes
eval-harness
Agent evaluation framework. Measure agent performance, identify weaknesses, and track improvement over time. Use when assessing agent quality, comparing approaches, or validating changes.
cli-for-agents
Design 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.
ci-cd-and-automation
Design 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-goal
Transform 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.
check-agent-compatibility
Run the full repository compatibility pass: scanner score, startup path, validation loop, and docs reliability.
browser-testing-with-devtools
Chrome DevTools for live runtime data: DOM inspection, console logs, network traces, performance profiling. Use when building or debugging anything in a browser.
architect
Sketch 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.
coolify-deploy
Deploy applications to Coolify self-hosting platform. Use when deploying to Coolify, configuring build settings, setting environment variables, managing health checks, or performing rollbacks.
deep-research-langchain
Run LangChain Open Deep Research or LangGraph-based iterative research workflows with configurable retrieval, reflection, and server-backed execution. Use when a benchmark or task needs inspectable graph orchestration rather than a single hosted research API.
deep-research-jina
Use Jina Reader and Jina Search APIs for deep research retrieval, URL-to-markdown conversion, and markdown-oriented search results. Use when a workflow needs clean page extraction, search snippets, or reader output before synthesis.
deep-research-gpt-researcher
Run GPT Researcher as a self-hosted open-source deep research framework using an LLM plus a search provider. Use when a task needs inspectable local report generation, configurable retrievers, or comparison against commercial research APIs.
deep-research-gemini
Run Google Gemini deep research and search-grounded Gemini research tasks with bounded scope and captured outputs. Use when research should rely on Gemini, Google Search grounding, or Google-hosted document context.
deep-research-okf-normalize
Normalize raw deep research outputs into a compact Open Knowledge Format bundle with source, finding, uncertainty, method, index, and log concepts. Use after provider runs when reports need portable structured markdown and citation-preserving validation.
deep-research-api-calls
Prepare and run bounded calls across deep research provider APIs with explicit cost limits, API-key sources, benchmark prompts, and output capture. Use when comparing providers, creating reproducible API commands, or normalizing raw provider outputs after a research run.
deep-research-exa
Run Exa-backed deep research, neural search, and page-content retrieval with bounded result and page-read counts. Use when a task needs Exa Search, Exa Contents, or Exa Research inside a source-discovery or benchmark workflow.
deep-research-custom-data
Build and validate custom-corpus inputs for deep research from Google Docs, YouTube, local files, S3, arXiv, databases, Slack, email, tickets, and similar non-web sources. Use when preparing private or domain-specific source manifests, validating source safety, or turning custom data into cited research inputs.
deep-research-smolagents
Run Hugging Face Smolagents as a code-as-action deep research agent with optional web search and model backends. Use when a benchmark needs explicit intermediate tool actions, code execution, or an open-source agent framework.
deep-research-perplexity
Run Perplexity Sonar and Sonar Deep Research for web-grounded answers with citations and bounded search context. Use when a research task needs current web synthesis through Perplexity or comparison against other provider APIs.
deep-research-openai
Run OpenAI deep research models through the Responses API with explicit effort, model, cost, and output controls. Use when launching citation-backed OpenAI research runs, smoke-testing OpenAI provider behavior, or capturing reproducible benchmark output.
deep-research-you
Run You.com Research API or You.com MCP-backed deep research with explicit research_effort and cost controls. Use when a task needs You.com research, ARI-style workflows, finance research options, or benchmark comparison.
deep-research-xai-grok
Run xAI Grok research with optional web and X search tools for current-event, social, market, or news-oriented research. Use when a task needs Grok-backed synthesis, X-aware source discovery, or provider comparison.
deep-research-tavily
Use Tavily Search API for bounded deep research retrieval, RAG-ready snippets, and low-cost web search. Use when a workflow needs search grounding, source discovery, or benchmarkable retrieval rather than full report-writing.
deep-research-stanford-storm
Run Stanford STORM for perspective-driven, article-style deep research reports with retriever-backed citations. Use when a task needs Wikipedia-like synthesis, outline-driven research, or comparison against heavier open-source research frameworks.
generating-adrs
Use when PRD/TRD contains architectural decisions to document - extracts decisions from refined requirements (architecture choices, data model decisions, API patterns, technology selections, integration strategies, reuse patterns) and generates MADR-format ADRs. One ADR per decision point. Also use when asked to document decisions, create decision records, or retrospectively capture architectural choices.
prd-to-ralph
Use when converting PRD/requirements into JSON format for Ralph Wiggum autonomous loops. Extracts user stories, orders by dependency (schema first, then backend, then UI, then dashboard), auto-adds standard criteria (typecheck, build, lint, tests), outputs structured JSON ready for autonomous iteration.
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