1,468 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.
Use when designing, reviewing, revising, or templating deployable system prompts for agent projects, especially prompts needing clear roles, task boundaries, tool-use rules, evidence handling, output formats, safety behavior, or compact runtime-ready structure.
Instructions for CheswickDEV/claude-opus-4.6-prompt-optimizer, covering identity & role, your mission, knowledge base: claude opus 4.6 model properties, optimization rules and rule 1: be explicit and detailed.
Generate model-specific prompts from shots.json. Outputs copy-paste-ready prompts for stills (Midjourney, Flux, Ideogram, GPT Image, Nano Banana, Seedream) and motion video (Kling, Veo, Seedance, Hailuo). Also runs a revision mode that reads a critique.json and re-emits prompts for only the failed shots, closing the…
Instructions for abhichandra21/Promptheus, covering claude.md, development commands, installation and setup, install in development mode and or use the traditional setup.py approach.
Forge a coding or agentic prompt optimized for Claude Opus 4.7 or GPT-5.5 (Codex CLI) by interviewing the user with structured multiple-choice questions, then writing a precise XML-tagged prompt and optional SPEC.md handoff. Use whenever the user asks to write a prompt, scope a coding task, design a system prompt for…
Instructions for tanker327/prompts-mcp-server, covering claude.md, development commands, architecture overview, core components and module dependencies.
AGENTS.md instructions for iloveitaly/llm-ide-rules, covering code comments, important workflow rules, alembic migrations, default content for new non-nullable columns and 1. add the column as nullable (no default needed).
Optimizes prompts using full GEPA methodology (Genetic-Pareto Evolution). Use when user wants to improve a prompt's accuracy on test cases, mentions "optimize prompt", "improve prompt", or has examples of desired input/output pairs. Implements Pareto frontier selection, trace-based reflection, and crossover mutations.
A collection of reusable instructions for an AI coding agent, covering prompt selection, prompt improvement, writing help, roleplay, and other prompt categories.
Run a single prompt across multiple LLMs in parallel via OpenRouter, then synthesize their responses into one answer with a judge model. Use when the user wants multi-model fusion, ensemble LLM queries, parallel model comparison, or a second opinion across providers.
Creates detailed English natural-language image prompts for NSFW scenes, including nudity, erotic clothing, solo play, sex toys, partnered intercourse, oral/manual/body stimulation, multi-participant compositions, exhibitionism, bondage, rough play, fluids, fantasy partners, and explicitly requested restricted or…
Write, optimize, review, and structure prompts for AI assistants (Claude, ChatGPT, Codex, Claude Code, agents). Use this skill whenever the user asks to write a prompt, optimize a prompt, fix/improve a prompt, review a prompt, turn a vague request into a reusable prompt, design system prompts / task instructions for…
Audit and optimize agentic systems — review agents, tool loops, and inference requests across prompt engineering, tools, context, cache, evaluation, and guardrails; rewrite prompts using Anthropic best practices.
★not rated 11 16d agoA
tokens not measured
originalMIT
Saves 20-40% of LLM tokens by teaching the agent to write compressed responses, compressed memory logs, and compressed pre-compaction summaries. Works via SOUL.md instructions — no hooks, no extra process, no dependencies. Also provides explicit compression when the user asks to compress a prompt. Use when the user…
A skill for writing and improving prompts for Seedance 2.5, a video-generation system. It covers text-to-video, image-to-video, editing, video extension, references, camera movement, green-screen work, sound, and lip sync.
A prompt-writing template that turns a rough goal, task, idea, or Chinese request into a clear instruction for an AI agent. It can also produce a persistent /goal prompt when requested.
A prompt-based role-playing skill that makes an AI answer in the thinking style and voice associated with Qian Xuesen, a Chinese aerospace scientist and systems-engineering pioneer.
Help users work with TROPT — the Textual Trigger Optimization Toolbox (https://github.com/matanbt/TROPT) for optimizing discrete text triggers that elicit specific behaviors from NLP models. The core job is helping users run, compose, and extend TROPT: invoking a Recipe Hub entry, swapping loss/optimizer/model in an…
★not rated 11 5d agoA424 tokens
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: