ai-skel-ts

Analyze and answer user questions in Autonomous Mode by reading documentation and inspecting codebase

Automated commit workflow with atomic grouping

Initialize project with AGENTS.md and rules, handling both Greenfield (new) and Brownfield (existing) projects.

Iterative issue investigation with user-controlled hypothesis selection

Perform a comprehensive "Lead Engineer" audit: structure, consistency, code quality, technical debt, documentation coverage, and terminology checks.

Create critiqued plan in whiteboard.md using GODS framework with proactive uncertainty resolution

Analyze agent's process, logic, technical decisions, context usage, and undocumented discoveries to find behavioral errors, poor engineering choices, inefficiencies, and missing knowledge in project instructions.

Composite command: review changes then commit only if approved. Inlines flow-review and flow-commit with a verdict gate between them.

Review current changes as QA engineer and lead engineer simultaneously: verify task completion, code quality, architecture, and cleanup.

Adds TypeScript/Deno code style rules to project AGENTS.md. Use when setting up new Deno projects or when user needs to establish code style guidelines.

Adds TypeScript strict mode code style rules to project AGENTS.md. Use when setting up TypeScript projects with strict mode or establishing coding standards.

Scaffold a complete AI agent application skeleton with LLM integration, tool calling, observability, cost tracking, session management, and content fetching. Use when the user asks to create an AI agent, add LLM integration, scaffold an AI application, or mentions "ai-skel", "agent skeleton", or "AI scaffold". Works with any programming language.

Analyze total token usage including conversation history, system prompts, and active rules to estimate cost.

How to conduct a Q&A session with the user

Configure and maintain Deno development commands (check, test, dev, prod). Use when the user wants to set up or update the standard command interface in deno.json and scripts/ directory.

Understand and interact with the cursor-agent CLI, including its output formats (JSON, text, stream-json), session management (resume), and integration with benchmarks. Use when working on cursor-agent CLI, benchmark runners, or automated agent interactions.

Multi-directional deep research with sub-agents, scoring, source verification, and cited synthesis. Use for comprehensive research, deep analysis, or evidence-backed answers. Produces executive summary + markdown report. Supports search tools, playwright-cli, and MCP.

Manage all Deno capabilities via CLI (run, test, fmt, lint, task, add, etc.). Use this skill when you need to execute Deno commands, manage dependencies, run tests, or handle local development workflows.

Manage Deno Deploy cloud services using both `deno deploy` and `deployctl`. Use this skill for deploying projects, managing cloud environments (Build/Dev/Prod contexts), monitoring logs, and troubleshooting deployment issues (like private npm dependencies).

Draw and edit Mermaid diagrams in Markdown. Use when the user wants to visualize processes, flows, sequences, or asks for diagrams.

Guide for creating effective AssistFlow commands. This skill should be used when users want to create a new command (or update an existing command) that extends AssistFlow's capabilities with specialized knowledge, workflows, or tool integrations. Works across IDEs (Cursor, Claude Code, OpenCode).

Creation and configuration of event hooks/plugins to manage agent behavior, command filtering, auditing, and automation. Works across IDEs (Cursor, Claude Code, OpenCode). Use when you need to: (1) Create a new hook (e.g., for formatting or security checks), (2) Configure hooks/plugins, (3) Implement logic for blocking or modifying agent actions via scripts.

Guide for writing stable, effective prompts for instant/fast models (Gemini Flash, GPT-4o Mini, Haiku), suitable for beginners.

Guide for writing prompts for reasoning/smart models (Gemini Pro, GPT-4o, Claude 3.5 Sonnet), focused on structure and context.

Guide for creating persistent AI rules (coding standards, project conventions, file-specific patterns). Use when users want to create a rule, add coding standards, set up project conventions, configure file-specific patterns, or ask about rules placement. Works across IDEs (Cursor, Claude Code, OpenCode).

Guide for creating effective Agent Skills (SKILL.md packages). Use when users want to create a new skill, write a skill, author a SKILL.md, or ask about skill structure, best practices, or skill file format. Works across IDEs (Cursor, Claude Code, OpenCode).

Guide for creating effective Subagents (custom agent definitions). Use when users want to create a new subagent, set up task-specific agents, configure code reviewers, debuggers, or domain-specific assistants. Works across IDEs (Cursor, OpenCode).

How to fix tests

How to manage GitHub tickets via MCP tools using the GODS framework. Use when creating, updating, or triaging GitHub issues.

Automates browser interactions for web testing, form filling, screenshots, and data extraction using playwright-cli. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.

Set up .devcontainer for AI IDE development. Generates devcontainer.json and optional Dockerfile for project tech stack, AI CLI integration (Claude Code, OpenCode), secrets, skill mounting, and security hardening. Use for AI-assisted devcontainer setup or flow-init delegation.

Create, maintain, and run evidence-based benchmarks for AI agents. Use when setting up testing infrastructure, writing new test scenarios, or evaluating agent performance.

Writing a Development Enhancement Proposal (DEP) - a document for proposing technical improvements

How to write tasks using GODS framework

How to write in informational style

Guidelines for writing comprehensive Product Requirements Documents (PRD)

Create structured specification for large features using phased decomposition. Produces documents/spec-{name}.md with dependency-ordered phases, atomic tasks, explicit boundaries, and per-phase status tracking.