38,494 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
Repair and synchronize Codex CLI model catalogs for OpenAI-compatible third-party providers. Use when /model shows stale, missing, duplicated, or nested "All models" entries; reasoning efforts or context windows disagree with upstream; a provider exposes /models but Codex does not refresh it; or modelcatalogjson and…
Transfer active project work bidirectionally between Claude Code and Codex by creating a native resumable target session with the visible transcript, a verified project capsule, task-lane lineage, and the exact next state. Use when the user asks to switch, hand off, continue, move, or resume a coding chat in the other…
A workflow layer for running long, mostly unattended Codex development sessions with saved state, task queues, isolated workspaces, retries, and verification records.
A workflow for splitting a code change into independent tasks and assigning them to multiple command-line AI coding agents. Each agent works in its own Git worktree, an isolated copy of the repository.
Evidence-grounded autonomous engineering router. Use when the user invokes $agi or asks for broad, ambiguous, long-running, production-grade, benchmark-driven, or high-leverage software work that should choose its own tools, skills, agents, validation, and checkpoints from live repo evidence.
Use for configurable, high-rigor app execution across repos. Selects the lightest safe workflow mode from an app profile, creates or uses a slice manifest, and routes product, tracker, code-intelligence, UI/UX, and verification gates without hard-coding one app's rules.
Delegate coding tasks to OpenAI Codex CLI. Supports presets (turbo/balanced/quality/max) or custom model+effort selection. Use when user wants to leverage GPT-5.5/Codex models for code analysis, refactoring, security audits, or complex transformations. Also covers MCP server management and advanced CLI features.
Generate CLAUDE.md / AGENTS.md + TODO.md for the current project, following the minimal HumanLayer pattern and Karpathy 4 rules. Bakes a Session Maintenance Protocol into the root file so future agents auto-update rules and TODO when they load the file. Use when user mentions CLAUDE.md, AGENTS.md, project rules, init…
Three-phase Claude Code Codex CLI collaboration workflow: Claude plans and writes the spec, a Claude subagent implements in the host working tree, a fresh Codex session adversarially reviews the diff. Implementation and review are never the same model. For code changes that deserve a written spec.
★not rated 1
changed 13d agoA
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originalMIT
Use when the user wants a coding task executed with a strong planner model first and a faster/cheaper executor model after the first successful implementation edit.
Plans and decomposes complex tasks into mutually exclusive subtasks for parallel execution. Use when facing large tasks that can benefit from concurrent subagent work.
Routes coding labor to whichever AI CLI (codex, grok, kimi, claude/Fable) has live quota headroom and the right capability fit, runs it in an isolated git worktree, and verifies the diff before reporting.
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changed todayA
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originalMIT
Build, configure, run, inspect, or troubleshoot agent-agnostic recursive improvement loops for a repository or artifact. Use when a task should be attempted repeatedly by Claude Code, Codex CLI, Hermes, or another CLI agent; when candidates must inherit mutable task instructions, a self-improving meta-procedure, and…
A set of rules for organizing Claude Code instructions across hooks, personal memory, path-specific rules, shared project instructions, and team lessons. It is written partly in Chinese and includes a five-question placement process.
Use when doing non-trivial coding with Hermes, OpenClaw, Claude Code, Codex CLI, or similar autonomous coding agents. Orchestrates Karpathy-style minimal-change discipline, grill-plan intake, TDD, systematic debugging, subagent-driven implementation, spikes, and pre-commit review into one end-to-end workflow.
Inspect, verify, transactionally restore, and audit a Codex migration package on a new computer. Use when the user has transferred Codex “行李”, a codex-move ZIP or age-encrypted package, and asks to receive, import, unpack, restore, or complete a move on macOS, Windows, or Linux.
Gere um relatório local e somente leitura sobre sessões, tokens, modelos, reasoning effort, profiles, MCPs, ferramentas, skills, prompts repetidos, finalidades e objetivos do Codex CLI. Use para auditoria de consumo e recomendações de configuração.
Bootstrap a new project with multi-CLI agent config — drops AGENTS.md + CLAUDE.md from the cc-templates templates/ directory into a target project, patches its .gitignore, and prints verification commands. The "multi-agent" here means multi-CLI (Claude Code + Codex CLI + Antigravity CLI), not multiple internal…
Inspect Skill Manager's locally installed Claude Code, Codex, Muse, or Grok skills before non-trivial work, report the smallest clearly relevant set already active, temporarily activate relevant inactive skills, load all selected instructions, and clean up any receipt it creates before finishing. Use at the start of…
Use for bounded native Codex multi-agent orchestration when a task has at least two independent workstreams or independent verification would materially improve confidence: broad or high-risk multi-step work, audits, migrations, multi-area review-and-fix, adversarial verification, cross-checked research, or explicit…
Build production-ready AI agents in Python using Google Agent Development Kit (ADK). Use when creating agentic Python applications with LlmAgent, workflow agents (SequentialAgent, ParallelAgent, LoopAgent), multi-agent orchestration, tool development (function tools, MCP, OpenAPI), session and state management…
★not rated 1 6mo agoA146 tokens
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: