38,360 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.
A computational argumentation system for structured AI debates using Toulmin argument framework. Create debate motions, run multi-exchange debates between AI agents, and generate comprehensive reports with argument visualization.
★not rated 6 9mo agoA
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originalMIT
Make Gemini your default writer and image generator: the orchestrator plans and reviews while parallel agy (Antigravity CLI / Gemini) sessions do the writing, plus a gemini-imagegen skill that generates real images via Gemini's generateimage tool.
★not rated 6 29d agoA
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originalMIT
Save a compact handoff checkpoint and resume in a fresh session without replaying the entire transcript via --resume. Multi-language (en/ja/zh/zh-TW/ko/es/pt/de/fr/tr — 10 total), zero-token deterministic schema validation, turn-count nudge hook, and AUTO-SAVE at 90%/95% usage (synced with Claude Code's UI…
★not rated 6 2mo agoA
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originalMIT
Cut your AI bill without losing accuracy. tunelab helps you move repetitive LLM work — classifying, routing, extracting, drafting — onto small models that run for free on your Mac. It decides by experiment (testing on your own data first), trains locally with MLX, evaluates honestly, and explains every step so you…
★not rated 6 1mo agoA
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originalMIT
Route heavy-duty coding tasks from your Claude Code agent to OpenAI Codex, choosing GPT-5.6 Sol, Terra, or Luna as a supervised background worker — Claude briefs, delegates, reviews, and verifies.
★not rated 6 2mo agoA
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originalMIT
Gated Claude x Codex build loop: Codex plans, implements, and accepts queued follow-ups from one persistent thread; Claude approves the plan and reviews the diff.
★not rated 6 1mo agoA
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originalMIT
Autonomous dev agent — works through your task list while you sleep. Zero config after install. Builds, reviews, deploys, and verifies each task end-to-end.
★not rated 6 3mo agoA
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originalMIT
Pattern taxonomy, agent role combinations, model routing, unit-of-work sizing, review-findings settling, and resilience discipline for Claude Code dynamic workflows. ALWAYS load this skill before authoring or running any Workflow tool script, and ALWAYS load it when the user mentions "workflow" or "ultracode" in any…
Structural code intelligence for AI coding agents. Use this skill when the user wants to understand how a codebase is organized (modules, call graphs, file dependencies), find where to start reading, trace the impact of a change, find code by meaning, or understand what a symbol does in its full context. Do NOT use…
Audit and improve the Elastic Cursor Plugin itself — analyze coverage gaps, identify missing tools/skills/rules, assess quality, and implement improvements. Use when asked to improve, extend, audit, or enhance the plugin.
Workflow-agnostic guardrails for AI coding agents: spec-sync preserves confirmed intent across sessions; brainstorming, TDD, root-cause debugging, prioritized review, evidence-before-done, disciplined git, and context hygiene trigger only when their risk conditions match. Includes a SessionStart discipline primer…
★not rated 6
changed yesterdayA
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originalMIT
Use when integrating the kitup SDK into a CLI that ships a bundled Agent Skill and needs to install it on local agent hosts. Also use when wiring install flags, optional status or uninstall, or the Go Cobra adapter.
Advisor-orchestrated in-session build loop. The session model (the strongest model you have, or a new SOTA model you want to evaluate) acts as planner + advisor + reviewer; implementation is delegated to cheaper subagent models. Derives a verifiable completion condition up front and interviews the user if one can't be…
Transform vague prompts into precise, verifiable structured XML prompts that coding agents execute reliably. Modes: execute (default — generate then run) and plan (generate XML for review first). Use when the user says improve prompt, make this work better, prompt engineer, structure a request, plan a complex change…
Design and build AI agents for any domain. Use when users: (1) ask to "create an agent", "build an assistant", or "design an AI system" (2) want to understand agent architecture, agentic patterns, or autonomous AI (3) need help with capabilities, subagents, planning, or skill mechanisms (4) ask about Claude Code…
Always-on council reasoning + caveman output. Runs a 3-stage internal deliberation (independent drafts → self-critique → synthesis) before every answer, then replies terse caveman-style. No pleasantries, no filler, no fluff. Full technical accuracy kept. Active until "stop" or "normal mode".
★not rated 6 3mo agoA71 tokens
originalMIT
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