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A collaborative stance for walking through shared artifacts (code, docs, recordings) where agent and user discover insights together by pointing at specific loc
Joint Reading is a collaborative stance the agent uses when examining shared artifacts together with a human: code diffs, documents, audio/video timelines, or UI screens. Rather than the agent teaching or presenting, both participants move through the material together, anchoring observations to concrete locations and combining the agent's pattern-detection with the user's contextual intent. The result is a composite understanding neither could reach alone.
Use Joint Reading during code walkthroughs, document or design reviews, pair debugging, or any situation where both parties reference the same artifact and each brings complementary information. It's especially helpful when the user knows intent or context the agent lacks, and the agent can point out structural patterns, anomalies, or opportunities.
Works well with assistants that can reference locations in artifacts (editor-aware agents, code copilots, or document-aware LLM integrations). Typical compatible platforms: VS Code extensions, Copilot-style editor agents, and conversational agents with file/context access.
A conceptual 'stance' skill defining a collaborative reading mode for walking through shared artifacts (code, docs) with an agent. No scripts or executable content — purely a behavioral prompt pattern. Well-written prose with clear structure, analogies, and composition notes, but limited practical utility as a standalone skill since it's more of a philosophical framework than an actionable tool.
Part of the vscode-ai-plugin repo's 'stances' collection. These are behavioral patterns for AI agents, not functional skills with scripts. High writing quality but narrow applicability as a standalone skill.
Run Execute
Orchestrates execution of work items across modes (autopilot, confirm, validate) with scripted init/complete tooling, plan/test/report artifacts and strict gati
Codex Collab
Bridge Claude and Codex to run tasks, perform code reviews, and run background jobs for research or implementation workflows.
AI Pair Collaboration
Orchestrates a small heterogeneous team of AI agents (author/developer + Codex reviewer + Gemini reviewer) to produce and review content or code in a coordinate
Crucible: Build
Orchestrates an end-to-end development pipeline: interactive design, planning, autonomous execution, and quality gates with TDD and iterative reviews.
Code Reviewer
Perform structured, prioritized code reviews that find correctness, security, performance, reliability, and testing issues and provide concrete fix suggestions.
Explorar base de código
Read and map a repository before making changes: discover structure, config, tests, patterns, and dependencies to avoid breaking conventions when modifying code
AIOS Test Architect & Quality Advisor
Advisory agent that reviews test architecture, creates quality gates, assesses risk, and suggests test strategies and improvements.
Collaborating with Claude Code
Bridge to delegate code implementation, review, and tests to Claude Code via a JSON bridge script that returns structured output for multi-turn sessions.