repo-harness-goal
Goal-mode entrypoint for Codex and Claude native /goal sessions. Requires detailed PRD or Sprint context before starting bounded long-running execution.
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Goal-mode entrypoint for Codex and Claude native /goal sessions. Requires detailed PRD or Sprint context before starting bounded long-running execution.
Guides GPT Pro local setup for repo-harness by configuring Oracle-first gptpro_browser ChatGPT Web consults and gptpro_mcp ChatGPT Connector MCP sidecar access with verification, auth, tunnel, runtime, and API-billing boundaries.
Manage ACPX sessions for delegating tasks from an orchestrator agent to coding agents. Use for agent-to-coding-agent work delegation with named sessions, parallel workstreams, and status tracking.
PromptScript language expert for reading, writing, modifying, and troubleshooting .prs files. Use when working with PromptScript syntax, creating or editing .prs files, adding blocks like @identity, @standards, @restrictions, @shortcuts, @skills, or @agents, configuring promptscript.yaml, resolving compilation errors, understanding inheritance (@inherit) and composition (@use, @extend), or migrating AI instructions to PromptScript. Also use when asked about the 48 built-in compilation targets, including GitHub Copilot, Claude Code, Cursor, Antigravity, Factory AI, and AGENTS.md-based platforms.
Guide for adding new MCP tools with consistent patterns for schemas, tool definitions, registry updates, and Better Auth integration
Emulates the AskUserQuestion tool for agents that lack native support. When a skill instructs you to "use the AskUserQuestion tool", use this skill to present structured questions in markdown and wait for the user's response before proceeding.
Bootstrap a durable "write like me" skill from the user's own Slack and email writing. Use during Assistant onboarding, after Slack/Gmail or email connectors are available, or when the user asks to learn their voice, infer writing style, create a personal writing persona, generate a write-like-me skill, analyze sent messages, or capture different writing postures across email and Slack.
Create Open Agent Spec / PyAgentSpec agents or flows from business requirements, natural-language product ideas, or integration intents. Use when Codex must turn plain-English intent into an Agent Spec artifact, refine an existing Agent Spec artifact, choose between Agent and Flow designs, define LLM/tool/input/output contracts, add MCP tools or toolboxes, or validate an Agent Spec artifact without relying on a local agent-spec checkout.
Optimizing vector embeddings for RAG systems through model selection, chunking strategies, caching, and performance tuning. Use when building semantic search, RAG pipelines, or document retrieval systems that require cost-effective, high-quality embeddings.
Create a workspace-local .cowork/ memory kit (rules, identity, long-term notes, daily logs, heartbeat templates).