🎯Skills33
AgentOps — a toolbox of operational primitives for coding agents that preserves learnings between sessions, supports parallel swarm execution, and builds validation pipelines.
Orchestrates multiple Codex agents for parallel task execution, with the lead agent preventing file conflicts before spawning via merge/wave strategies. Auto-selects the runtime backend (Codex sub-agents, Codex CLI, OpenCode subagents, or swarm fallback) based on availability.
AgentOps — a toolbox of operational primitives for coding agents that preserves learnings between sessions, supports parallel swarm execution, and builds validation pipelines.
AgentOps automates context persistence between coding agent sessions by extracting learnings, quality-gating them, and injecting them into the next session. Applies DevOps' three ways (flow, feedback, continual learning) to the agent loop with composable primitives for research, planning, building, and review.
AgentOps — a toolbox of operational primitives for coding agents that preserves learnings between sessions, supports parallel swarm execution, and builds validation pipelines.
AgentOps — a toolbox of operational primitives for coding agents that preserves learnings between sessions, supports parallel swarm execution, and builds validation pipelines.
A full discovery phase orchestrator skill that coordinates brainstorming, design validation, codebase research, epic planning, and pre-mortem analysis through strict delegation to sub-skills. Produces execution packets with structured plans for implementing features or capabilities.
An SDLC control plane for agentic software development that adds phase gates, a persistent learning corpus, and multi-agent council reviews on top of existing coding tools like Claude Code, Codex, and Cursor. Captures decisions, planning rules, and learnings in a local .agents/ directory so context survives across sessions.
An SDLC control plane for agentic software development that adds phase gating, a persistent learning corpus, and decision tracking on top of coding agents like Claude Code and Codex, with all state stored in .agents/ alongside your code.
Part of AgentOps, an SDLC control plane for agentic software development that adds phase gating, decision recording, and a persistent learning corpus on top of coding agents like Claude Code, Codex, and Cursor. Stores learnings, patterns, planning rules, and cited decisions in a local .agents/ directory that survives across sessions.
An SDLC control plane skill for agentic software development that records decisions, gates phases with first-failing tests, and maintains a corpus of learnings across coding sessions with Claude Code, Codex, Cursor, and other AI tools.
Part of AgentOps, an SDLC control plane for agentic software development that sits on top of coding harnesses like Claude Code, Codex, and Cursor. It adds phase gates, a persistent learning corpus, and reviewable decision trails that survive across sessions, enabling engineering teams to avoid repeating mistakes.
AgentOps is an SDLC control plane for agentic software development that adds phase gates, decision logging, and a persistent learning corpus on top of coding harnesses like Claude Code, Codex, and Cursor.
An SDLC control plane for agentic software development that adds phase gates, a persistent learning corpus, and decision tracking on top of coding agents like Claude Code, Codex, or Cursor, storing all state in a local .agents/ directory.
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