Plugins

12 plugins

Privacy Data Protection Skills

Privacy Data Protection Skills from mukul975/Privacy-Data-Protection-Skills.

100 skills · plugin

@snoodleboot-io

Prompticorn from snoodleboot-io/prompticorn.

2 skills · plugin

Produkthaftung und Produktrecht: Produktsicherheit, GPSR, ProdHaftG, deliktische Produzentenhaftung, Right to Repair, Software-/OTA-Updates, digitale Produktlebenszyklen, Rückruf, Marktüberwachung und Launch-Review.

3 skills · plugin

Planning & Product

PRDs, roadmaps, OKRs, discovery and product strategy.

23 skills · plugin

Product Idea to PRD

For product managers to structure and validate a new product concept.

11 skills · plugin

Product Manager Skills

Product Manager Skills from deanpeters/Product-Manager-Skills.

56 skills · plugin

Praxis from ConcertoNotes/codex-plugins.

7 skills · plugin

@alirezarezvani

13 product skills with 17 Python tools: product manager toolkit (RICE, PRDs), agile product owner, product strategist, UX researcher, UI design system, competitive teardown, landing page generator, SaaS scaffolder, product analytics, experiment designer, product discovery, roadmap communicator, code-to-prd, research summarizer, apple-hig-expert.

10 skills · plugin

Launch on Product Hunt

Launch a product on Product Hunt by researching, preparing assets, and executing the launch playbook.

3 skills · plugin

Presets from amplifthq/oh-my-dsh.

4 skills · plugin

Execution and product management skills: PRDs, OKRs, roadmaps, sprints, pre-mortems, stakeholder maps, user stories, prioritization frameworks, and more.

16 skills · plugin

Prediction Market Arbitrage

Compare Polymarket probabilities with options-implied probabilities to find arbitrage opportunities.

4 skills · plugin

Results for “pr”

105 skills

Prompt Optimizer

Creates, optimizes, and iteratively refines agent prompts, system prompts, developer prompts, and reusable prompt templates with evals.

Finalize Agent Prompt

Refines and polishes prompt files by applying proven best practices for structure, wording, and clarity while preserving original intent and formatting.

Discovers and applies curated prompts from the prompts.chat collection to optimize AI interactions, prompt engineering, and workflow integration.

Mermaid To Proverif

Translates Mermaid sequence diagrams of cryptographic protocols into ProVerif formal verification models (.pv files) for proving security properties like secrecy, authentication, and forward secrecy.

Prompt Optimizer

Transforms rough drafts, vague ideas, or task descriptions into polished, ready-to-send prompts for any LLM chat interface, with no placeholders or templates.

Prompt Engineer

Designs and optimizes prompts for LLM-powered applications, covering system prompt architecture, context management, output formatting, and evaluation.

More results

Testing For System Prompt Leakage

Test LLM applications for system prompt leakage using manual payloads, garak, and Promptfoo to extract embedded secrets and routing logic.

24.6k · bundle

AI Prompt Engineering Safety Review

Analyzes prompts for safety, bias, security vulnerabilities, and effectiveness, providing detailed improvement recommendations with frameworks, testing methodologies, and educational content.

Rewrites free-form draft prompts into the conventions Claude Opus 4.6 or 4.8 responds best to, either inline or by overwriting a draft file.

Arize Prompt Optimization

Optimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations from Arize AI.

36.2k · bundle

schattenspiegel

Github Copilot Prompt Files

Create, review, and debug GitHub Copilot reusable prompt files and slash commands in Visual Studio Code.

sakamoto-family-smile

Prompt Optimizer

Analyzes draft prompts, identifies intent and gaps, matches ECC components, and outputs an optimized prompt for the user to paste and run. Advisory only, never executes the task.

Guides building production-grade AI features with LLM integration patterns, RAG architecture, prompt engineering, and cost optimization.

Agent Platform Prompt Management

Creates, lists, retrieves, versions, and deletes managed prompts in Google Cloud Agent Platform using the Python SDK.

14.4k · bundle

Integrates WordPress 7.0's WP AI Client for provider-agnostic AI generation, covering prompt building, model preferences, structured JSON, media generation, and safe feature gating.

Detecting Indirect Prompt Injection

Detect and defend against prompt injection hidden in documents, web pages, and images consumed by an agent.

24.6k · bundle

Silently restructures natural-language prompts into the format best suited for the model currently executing the skill, then answers the rewritten version.

Implementing LLM Guardrails For Security

Builds input and output validation guardrails for LLM-powered applications to prevent prompt injection, data leakage, toxic content generation, and hallucinated outputs using NeMo Guardrails, Presidio, and Guardrails AI.

24.6k · bundle

Prompt Engineering

Learn and apply prompt engineering techniques for LLMs, image generators, and video models using the inference.sh CLI.

orchestra-research

Build complex AI systems with declarative programming, optimize prompts automatically, and create modular RAG systems and agents using Stanford NLP's DSPy framework.

10.4k · bundle

dontbesilent2025

Dbs Good Question

Transforms fuzzy problems into structured briefs that AI agents can reason about, critique, and act upon, while evaluating how much of the problem can be automated.

Forces one deeper, more creative pass on an answer or plan while preserving the original escalation prompt verbatim.

Prompt Optimizer

Analyze draft prompts to identify intent, scope, and missing context, then generate an optimized prompt with ECC component recommendations. Advisory only — never executes the task.

Continuous LLM Red Teaming With Promptfoo

Wire Promptfoo and DeepTeam into CI/CD for automated regression red-teaming of LLM apps against OWASP LLM Top 10 and OWASP Agentic presets, failing the build when jailbreak or injection vulnerabilities regress.

24.6k · bundle

Meta Pattern Recognition

Identifies recurring patterns across three or more domains to extract universal principles and apply them to new problems.

Video Prompting Guide

Learn best practices for writing effective AI video generation prompts, covering shot types, camera movements, lighting, style keywords, and model-specific tips for Veo, Seedance, Wan, Grok, and others.

Provides expertise in Langfuse for LLM observability, including tracing, prompt management, evaluation, and integration with LangChain, LlamaIndex, and OpenAI.

agentskillexchange

Unified AI System Gateway

Enhances plain-language requests into structured, reviewable prompts and inspects a self-hosted MCP gateway with provider-free defaults.

Runs regression evaluations comparing agent edits against human-approved golden projects, and registers new goldens after human approval.

Estrutura prompts para geradores de imagem e vídeo, otimizando custo e consistência com a marca.

Prompt Improver

Researches conversation and code context to generate 1-6 targeted clarifying questions when a prompt is vague, then executes the original request.

Generates and edits images using GPT Image 2 across three modes: direct generation via OpenAI-compatible API, prompt engineering for host-native image tools, or pure prompt advisory. Includes 80+ structured templates for posters, UI mockups, product visuals, maps, slides, and more.

Performs a systematic diagnostic scan of an AI workflow across 5 quality dimensions — prompt quality, context efficiency, tool health, architecture fitness, and safety — producing a scored report with prioritized remediation actions.

Build production-ready LLM applications, advanced RAG systems, and intelligent agents with vector search, multimodal AI, and enterprise integrations.

Prompt Engineer

Designs, optimizes, and evaluates prompts for LLMs, including structured outputs, chain-of-thought, and evaluation frameworks.

10.4k · bundle

nimoqup046-collab

Guides production AI systems: RAG pipelines, embeddings, vector databases, fine-tuning, prompt engineering, cost estimation, quality evals, and caching.