37,021 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.
Swamr Orchestrator — autonomous agent swarm that builds entire projects. Invoke with @swamr-orchestrator followed by what you want built. Decomposes into tasks, selects specialist agents, runs dev↔QA loops, and delivers production-ready code.
Strict, neutral Technical Architect that reviews plans and ideas for trade-offs, over-engineering, bugs, and performance. Adversarial counterpart to the planning author — pushes back on bad decisions.
Tiered architecture-decision orchestrator — evaluates trade-offs and produces ADRs or system designs through discover, research, design, and adversarial-review phases. Use for architecture decisions, ADRs, system design, trade-off analysis between approaches, one-way-door decisions, C4-level design, or NFR evaluation…
Use TreeWork, a tree-guided development plugin for complex or evolving software projects that need staged alignment, pre-coding technical Specs, declarative project-tree planning, branch-scoped Git worktrees, durable recovery, and protected completion. It teaches the Agent to move through development along the Tree…
Deep multi-model council with research, adversarial debate, sequential reasoning, and final synthesis. For architecture decisions and complex tradeoffs.
Your AI argues before it answers. Five-step decision loop for builders — GATE, LOOK, RESHAPE, ATTACK, CARD — built from Bezos's letters, Musk's algorithm, and Farnam Street's mental models. No more "you're absolutely right!".
Planning session mode for complex tasks. Enter Fathom Mode to build shared understanding through structured dialogue before execution. Use this when you want to plan, think through, or clarify something complex before acting on it.
★not rated 13 6mo agoA
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originalMIT
Sol-mediated orchestration for parallel, first-class, user-visible Codex threads created with the app-level createthread capability in the current project, never through internal subagents. Sol owns architecture, integration, and acceptance while Luna Max handles bounded implementation work. Activate whenever the user…
Use when a repository task needs a strict ControlFlow-style implementation plan before coding, especially for small, medium, or large scope, cross-file edits, risky migrations, architectural uncertainty, or any work that should produce a saved Markdown plan artifact in plans/.
Durable goal-following for Claude Code: contracts with definition-of-done, subagent judge gates, executor-subagent chain execution, and adaptive missions — with all state mechanics executed by a tested CLI and invariants enforced by hooks. Inspired by OpenAI Codex /goal and the Ralph loop pattern.
★not rated 13
changed 1mo agoA
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Design a bounded execution contract using dynamically generated independent lenses when decision consequence and unresolved uncertainty justify architecture work.
Spec-driven agentic engineering as graph engineering: shape (pitch) -> decide (ADR) -> execute (delegated cycle with adversarial review) -> measure -> eval, with /graph to fan work out across a fleet of subagents (diamond / router / verifier / cycle). Dark-launch eval-gated. Distilled from a real practice.
★not rated 13 1mo agoA
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originalMITarchived
The PM playbook for building AI agent products. 12 slash commands covering the full agent product lifecycle — from 'should this be an agent?' through eval design to production safety. Grounded in primary sources from Anthropic, OpenAI, Karpathy, Hamel Husain, Linus Lee, and real production deployments.
★not rated 13 5mo agoA
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originalMIT
Use this skill when the user wants to plan a piece of implementation work and add it to the lauren queue (the lauren todo / backlog). Typical phrasings include "add this to lauren", "add this to the lauren todo", "lauren this", "let's make a lauren plan for X", or "plan this with lauren". The plan is then executed…
Use this skill when the user wants to discover, inspect, install, or apply Skills Hub presets, kits, AGENTS.md policies, or skill packages for a project. It guides the agent to use the Skills Hub CLI to search presets, inspect their policy and selected skills, install them as kit artifacts, and apply them with…
A Chinese-language engineering workflow for managing project engineering documents and implementing code changes. It includes worktree isolation, TDD, task waves, testing, verification gates, and separate commits.
Lean, output-first spec-driven builds: mock first, then propose, plan, build, verify, pr.
★not rated 13
changed todayA
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originalMIT
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: