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Agent skills
typescript

Topic: typescript

2,004 skills in this topic.

maestro-skill-author Create, update, or debug maestro built-in skills. Covers SKILL.md frontmatter, reference directory structure, step-file architecture, build-time embedding, naming conventions, alias management, and registry validation. Use when creating a new maestro built-in skill, modifying an existing SKILL.md, adding reference files, debugging skill loading failures, updating the skills registry, or working on the skills full port. Also use when frontmatter validation fails, skills don't appear in skill-list, or reference files fail to load.
ReinaMacCredy/maestro 26
maestro-v2-migration Guide for working with maestroCLI's v2 architecture. Covers the context-to-memory rename, 4-state task model, plain file backend, pre-agent hooks, research phase, and memory promotion. Use when touching v2 code, encountering legacy patterns (e.g. 'context' instead of 'memory', old task states), adding new v2 features, or debugging v2 behavior. Also use when you see imports from adapters/fs/context, references to 'contextAdapter', or task states that don't match the 4-state model.
ReinaMacCredy/maestro 26
maestro:brainstorming Use before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
ReinaMacCredy/maestro 26
maestro:plan-review-loop Deep-review any plan (maestro, Codex, Claude Code plan mode, or plain markdown) using iterative subagent review loops with BMAD-inspired adversarial edge-case discovery. Spawns reviewer subagents that find issues using pre-mortem, inversion, and red-team techniques, auto-fixes them with structured fix strategies, and re-reviews until the plan passes with zero actionable issues. Use when the user says 'review the plan', 'deep review', 'check the plan thoroughly', 'review loop', 'validate before approving', or wants rigorous plan validation before execution. Also use proactively before plan-approve when the plan is complex or high-risk.
ReinaMacCredy/maestro 26
maestro:research Structured research workflow for maestro features. Guides tool selection across three tiers (codebase exploration, Context7 for library docs, NotebookLM for deep analysis), defines research patterns, finding organization via memory_write, and completion criteria. Use during the research pipeline stage after feature_create and before plan_write. Also use when investigating a problem space, comparing technical approaches, gathering context on unfamiliar code, or needing to understand external library APIs before making architectural decisions.
ReinaMacCredy/maestro 26
mcp-builder Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
ReinaMacCredy/maestro 26
mcp-for-agents Designs or reviews MCP servers so AI agents can use them reliably: outcome-oriented tools, flat constrained parameters, actionable errors via isError, token-efficient responses, composable outputs, and disciplined tool surfaces. Use when building an MCP server, adding tools to one, reviewing MCP tool design, or when the user mentions MCP optimization, tool descriptions, MCP best practices, or agent-friendly MCP design. Also use when the user has too many tools causing agent confusion, bloated responses wasting tokens, or agents picking the wrong tool.
ReinaMacCredy/maestro 26
prompt-leverage Strengthen a raw user prompt into an execution-ready instruction set for Amp, Claude Code, Codex, or another AI agent. Use when the user wants to improve an existing prompt, build a reusable prompting framework, wrap the current request with better structure, add clearer tool rules, or create a hook that upgrades prompts before execution.
ReinaMacCredy/maestro 26
maestro:agents-md Use when bootstrapping, updating, or reviewing AGENTS.md — teaches what makes effective agent memory, how to structure sections, signal vs noise filtering, and when to prune stale entries
ReinaMacCredy/maestro 26
maestro:brainstorming Use before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
ReinaMacCredy/maestro 26
maestro:design Deep discovery and specification for ambitious features. Full BMAD-inspired interview with classification, vision, journeys, domain analysis, and FR synthesis. Same output contract (spec.md + plan.md) as new-track but far richer. Use for multi-component systems, regulated domains, or unclear requirements.
ReinaMacCredy/maestro 26
maestro:dispatching Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
ReinaMacCredy/maestro 26
maestro:docker Use when working with Docker containers — debugging container failures, writing Dockerfiles, docker-compose for integration tests, image optimization, or deploying containerized applications
ReinaMacCredy/maestro 26
maestro:new-track Create a new feature/bug track with spec and implementation plan. Interactive interview generates requirements spec, then phased TDD plan. Use when starting work on a new feature, bug fix, or chore.
ReinaMacCredy/maestro 26
maestro:note Capture decisions, constraints, and context to persistent notepad. Priority notes are injected into every session and implementation run.
ReinaMacCredy/maestro 26
maestro:parallel-exploration Use when you need parallel, read-only exploration with task() (Scout fan-out)
ReinaMacCredy/maestro 26
maestro:plan-review-loop Deep-review any plan (maestro, Codex, Claude Code plan mode, or plain markdown) using iterative subagent review loops with BMAD-inspired adversarial edge-case discovery. Spawns reviewer subagents that find issues using pre-mortem, inversion, and red-team techniques, auto-fixes them with structured fix strategies, and re-reviews until the plan passes with zero actionable issues. Use when the user says 'review the plan', 'deep review', 'check the plan thoroughly', 'review loop', 'validate before approving', or wants rigorous plan validation before execution. Also use proactively before plan-approve when the plan is complex or high-risk.
ReinaMacCredy/maestro 26
maestro:revert Git-aware revert of track, phase, or individual task. Safely undoes implementation with plan state rollback.
ReinaMacCredy/maestro 26
maestro:review Code review for a track against its spec and plan. Verifies implementation matches requirements, checks code quality and security.
ReinaMacCredy/maestro 26
maestro:setup Scaffolds project context (product, tech stack, coding guidelines, product guidelines, workflow) and initializes track registry. Use for first-time project onboarding.
ReinaMacCredy/maestro 26
maestro:symphony-setup Set up Symphony orchestration for any repository. Installs Codex skills, generates a customized WORKFLOW.md, configures Linear integration, and verifies the setup. Works with any tech stack.
ReinaMacCredy/maestro 26
commit Create a well-formed git commit from current changes using session history for rationale and summary; use when asked to commit, prepare a commit message, or finalize staged work.
ReinaMacCredy/maestro 26
debug Investigate stuck runs and execution failures by tracing Symphony and Codex logs with issue/session identifiers; use when runs stall, retry repeatedly, or fail unexpectedly.
ReinaMacCredy/maestro 26
land Land a PR by monitoring conflicts, resolving them, waiting for checks, and squash-merging when green; use when asked to land, merge, or shepherd a PR to completion.
ReinaMacCredy/maestro 26