prompt engineer
Professional prompt engineering patterns for building robust, secure, and production-ready LLM applications.
Skills for orchestrating multi-agent systems, building MCP servers, evaluating LLM outputs, and shipping production-grade prompt and retrieval pipelines.
174 skills
Professional prompt engineering patterns for building robust, secure, and production-ready LLM applications.
Give AI agents the ability to trace decision chains, reconstruct causal sequences, and reason over complex event timelines spanning months or years.
Deploy a hierarchical team of AI agents to perform 15-30 minute deep-dive research with parallel execution.
Turn your AI agent into a senior engineer with strict task classification and verification-driven coding protocols.
High-speed intake for shaping vague prompts, triaging complex tasks, and compressing context for efficient execution.
Builds the organizational memory schema your AI agent needs to answer why — capturing decision provenance, causal chains, and event context that embedding-based retrieval permanently discards.
The "Skill for building Skills": Automate creating, testing, and optimisation of custom workflows.
Architects the right retrieval strategy for every query — teaching your agent when to use RAG, a knowledge graph, or a temporal index instead of defaulting to vector search for everything.
Published AI benchmarks measure brains in jars. They test models in isolation or within a single reference harness — and then attribute all performance to the model. This skill teaches you to decompose agent performance into its two actual components: model capability and harness multiplier. The result is evaluations that predict real-world behavior instead of benchmark theater.
Eliminate hallucinations with an evidence-first verification framework for system state, configs, and file contents.
Ultra-fast discovery and routing for large-scale AI agent skill libraries.
Reduce Manus v5 credit consumption by 30-75% through intelligent task routing and autonomous strategy selection.
Transform repetitive, messy prompts into structured, reusable SKILL.md files for your AI agents.
Generate high-fidelity, structured handoff packets for seamless multi-agent collaboration and session persistence.
Automatically detect, load, and stack the perfect skills combo for any user request.
A risk-aware, evidence-based engineering lifecycle protocol for robust agentic task execution and safety.
Transform vague AI ideas into professional, high-value skill products with strategic positioning and market-ready logic.
Automate Google NotebookLM: create notebooks, add sources, and generate AI audio/podcasts via Python or CLI.
Autonomous research and task loop that builds on previous findings to solve complex objectives while you sleep.
RAG fails quietly. It retrieves documents, returns confident-looking answers, and misses the question entirely — because the question required connecting facts across documents, reasoning about sequence, or tracing causation. This skill gives you a five-question diagnostic checklist that classifies any failing query as either RAG-safe or structurally RAG-incompatible, then maps it to the specific failure pattern and the architectural fix that resolves it.
Master the Agensi open standard to build, structure, and document reliable reusable skills for AI coding agents.
Turn your AI agent into a coordinator that manages parallel subagents for complex coding and research tasks.
Transform Claude Code into a coordinated multi-agent system. Battle-tested tmux orchestration patterns, YAML task queues, event-driven communication, and parallel worker management for 8+ agents.
The intelligent installer for MARM, providing cross-agent persistent memory and shared context via MCP.
Automate real Chrome profiles with a professional CLI, SDK, and MCP-ready automation stack for AI agents.
Audit and auto-fix agent skills to remove platform lock-in and ensure cross-platform compatibility.
Python CLI and reusable client for one-shot chat and SSE streaming via the Felo Open Platform.
Master Claude Code's settings hierarchy and hook framework to automate workflows and silence repetitive prompts.
Monitor and analyze real-time context window usage with visual bars and detailed token breakdowns.
Coordinate specialized AI agent roles for complex planning, implementation, and verification workflows.
Eliminate hallucinations and errors using double-blind, multi-agent adversarial verification loops.
Audit and de-conflict complex agent instruction stacks to fix inconsistent behavior and logic bloat.
Verify academic citations and claims with a rigorous bullshit detection framework for AI agents.
Transforms vague coding requests into precise, scoped, testable, AI-ready prompts for Cursor, Claude Code, Codex CLI, Replit, and other coding agents.
Battle-tested orchestration framework for running 3+ Claude Code agents in parallel. Covers task routing, denbun handoff protocol, exponential-backoff retry, rate-limit guards, structured JSON logging, and automated self-healing — patterns from real production deployments.
A 5-gate pre-flight audit to ensure your AI agent has the context, scope, and safety boundaries needed to code successfully.
A disciplined execution framework to force your AI to complete multi-step tasks with verifiable, review-ready results.
Instantly diagnose any skill or prompt and get a clear, prioritized report on what’s wrong and how to fix it — across any agent.
Design and audit complex multi-agent workflows with rigorous ownership, evidence gates, and failure recovery policies.
Design, debug, and harden AI control loops with explicit contracts and automated verification harnesses.
Transform raw ideas into high-performance, structured prompts optimized for Grok’s reasoning and wit.
Architect, scaffold, and harden production-grade AI agents with battle-tested patterns and systematic evaluation.
Bridge OpenCode to the Agensi marketplace to discover and install AI agent skills via MCP.
Build a full-stack AI chatbot trained on your own documents across any industry — legal, healthcare, e-commerce, HR, finance, real estate, insurance, education, cybersecurity, government, and more.
Turn erratic AI tool calls into a reliable, verified, and safe execution strategy.
Turn complex system documentation into structured, agent-accessible knowledge bases optimized for MCP and AI tools.
Generate high-density technical handoffs to resume work across agents or team members without losing context.
AI output is full of padding, repeated information, and filler phrases. This skill cuts all of that while keeping the specifics and nuance that actually matter.
Production-grade 3-layer agent orchestration with dual-blind verification and automated model routing.
Turn your AI agent into a digital librarian that builds and audits a persistent markdown knowledge base.
Find and evaluate the best free Agensi marketplace skills for your specific development needs using Grok and MCP.
Maintain strategic coherence across long coding sessions using Claude Code's native memory and task systems.
Quickstart guide to connect your AI agent to the Agensi marketplace via Model Context Protocol (MCP).
Master the Grok Build CLI with professional workflows, safety protocols, and structured plan-mode discipline.
Architect, scaffold, and debug production-ready AI agent CLI applications with structured boundaries and packaging.
Reliable, health-gated autonomous operations for agents in restricted or sandboxed terminal environments.
High-precision OCR for images, tables, and handwriting using NVIDIA NeMo Retriever.
Maximize AI agent performance with proactive token management, intelligent compaction, and session handoff strategies.
Design, validate, and orchestrate A2A-compliant multi-agent systems using artifact-driven Mesh Flow DAGs.
A systematic framework to diagnose, refine, and harden existing AI agent skills based on real-world performance.
Establish a disciplined, issue-driven agentic operating model with automated tracking and strategic human-in-the-loop.
Fast, free image classification using ResNet-50 on Cloudflare Workers AI with 1,000+ object categories.
Automated context management and cross-session memory organization for long-term AI-human collaboration.
Audit AI agent memory files for privacy risk and bloat.
Transform ambiguous AI tasks into auditable execution traces with verified evidence and AI-smell detection.
Architect high-fidelity, theologically-grounded AI personas and 'person-use' skills for ministry and biblical study.
Transform Grok into a local-first coding agent that writes, edits, and verifies files directly in your workspace.
Run a complete pre-publish readiness check on your skills — version consistency, marketplace reference audit, internal path cleanup, and clear 0.0.1 vs 0.1.0 publishing decision.
Transform brittle prompt chains into robust, artifact-driven DAG workflows with hard gates and explicit traces.
Enforce senior-level coding standards (Surgical, Simple, Goal-Driven) on every AI-generated code change.
Instantly diagnose and fix why your AI agent skills aren't triggering when they should.
Eliminate context drift and enhance depth with a multi-layered active reasoning framework for agents.
Design deterministic Mesh Flow guardrail topologies and verifier contracts for complex multi-agent AI systems.
Turn vague prompts into professional task specifications, optimized prompts, and verification test suites.
Track token spend across AI providers, set monthly budgets, get Telegram alerts on cost spikes, and generate daily/weekly reports.
Local, SQLite-backed cross-session memory for agents to store and retrieve lessons, decisions, and facts via FTS5.
Standardize agent collaboration with high-density mission packets, strict authority boundaries, and return contracts.
A high-precision pre-coding gate that detects conflicting requirements and prevents agents from making wrong assumptions.
120+ paid AI tool endpoints. Pay per use via x402 micropayments on Base (USDC). No API keys, no subscriptions.
Diagnose and fix broken local LLM stacks, GPU issues, and stalled model downloads across Ollama, LM Studio, and more.
Free collection of 7 agent-ready monitoring tools. Price alerts, cost tracking, repo scanning, uptime checks, and more. Quick-reference guide with one-command install.
Async task delegation for AI agents via shared folders—perfect for cross-OS and remote worker coordination.
Transform raw video files into structured JSON and Markdown reports with local character detection and transcription.
Audit, score, and improve your AI agent skills for higher quality, lower token costs, better reliability, and marketplace success. Get actionable recommendations for prompts, instructions, tool usage, error handling, and user experience.
An adversarial gate that audits an AI eval or test suite — LLM-judge rubrics, datasets, regression tests, metrics — for gameable criteria, data leakage, missing edge cases, and non-determinism, then returns one PASS/REVISE/FAIL verdict.
A helical iteration engine using the ± operator to balance broad creative discovery with precise technical refinement.
Audit, verify, and format academic citations across AMA, APA, and Vancouver styles to eliminate AI hallucinations.
A reusable rubric that grades every source by type, recency, authority, independence, and corroboration, then ranks them and resolves conflicts by evidence weight.
Automate Google NotebookLM research workflows, source ingestion, and study material generation via CLI and Python.
Audit, prune, and secure your AI agent's long-term memory to prevent pollution and data leakage.
Analyzes AI agents for performance, reliability, security, and optimization opportunities.
Audits any AI draft for unsupported claims — flags each one, grades its source, and returns a substantiation report.
Drive several real Chrome profiles, each with its live Google login, at once via Kimi WebBridge — multi-profile browser automation in your real Chrome, not headless.
Drastically reduce RAG costs and latency while improving retrieval accuracy through advanced memory architecture.
Build production multi-agent systems. 12 patterns, 8 anti-patterns, debugging workflow, cost control. LangGraph + AutoGen + CrewAI.
PromptShift is a minimal prompt adapter that preserves intent while improving clarity across AI models.
Paste any AI output. Get the production-ready prompt that made it.
An advanced FinOps engine to analyze AI usage, optimize token spend, and reduce LLM costs by up to 60%.
Your headless Ollama box crashes at 3am and you find out hours later. OllamaWatch pings your Telegram the instant a model dies, the GPU runs out of memory, or the API hangs — with a fix hint in every alert. One Python file, no SaaS, no dashboards.
5 realistic visual styles, character modeling, I2V prompts, cinematic shot design, uncanny valley prevention.
Autonomous loop that iteratively modifies, evaluates, and selects the best version of any text resource — skills, prompts, or campaigns — using a modify-measure-keep/discard cycle.
An adversarial reviewer for AGENTS.md and agent instruction files. It flags ambiguous or contradictory rules, missing guardrails, vague tool and scope definitions, and untestable instructions, then returns a PASS / REVISE / BLOCK verdict — before the config drives your agent.
An adversarial gate that audits a research brief or AI-generated answer for unsupported claims, weak or outdated sources, missing citations, and one-sided framing — returning a structured TRUST/VERIFY/REJECT verdict with the exact passage quoted and what to verify for each.
Find the model-version coupling that breaks when you swap LLMs. Flags hardcoded model names and versions, deprecated or renamed parameters (the max_tokens to max_completion_tokens class of change), hardcoded token and context-window limits, response-format parsing tied to one model's output, tool-schema format coupling between providers, and hardcoded per-token cost constants. The patterns load from an editable model-rules table you update as new models ship.
Audit any website for AI agent-readability and protocol compliance using the Agent Ready CLI.
Diagnose broken RAG systems. 8 failure categories: chunking, embeddings, retrieval, reranking, hallucination. Recall@k measurement.
Video type matrix, platform specs, AI prompt recipes (Seedance/Sora/Kling), zero-cost SOP, quality gates.
Run a buyer-readiness check before publishing an AI agent skill package.
Turn generic, crowded AI agent ideas into sharp, differentiated marketplace products with specific buyer problems.
A cognitive reasoning protocol and Markdown-based local memory system for high-stakes AI development and strategy.
Stop your agent citing papers that don't exist. Verifies every reference against live PubMed & Crossref — flags fabricated, mismatched, and retracted citations.
Convert loose prompt sets into structured, target-ready records with variables, contracts, and eval cases.
7-type AIGC routing, LLM selection, prompt engineering, content QC, monetization paths, 2026 trends.
Audit any website for AI agent-readability via native MCP tool calls.
Audit AI/LLM spend across OpenAI, Anthropic, AWS Bedrock, Azure. Find waste, project runway, FinOps report. Free scripts.
337+ professional-grade tools for finance, networking, SEO, and development in a single MCP server.
Convert a repeatable workflow into a reusable agent skill or staged skillchain candidate.
Runs an ordered evidence-integrity gate over any AI draft — grade sources, ground claims, verify technical assertions, stress-test — then returns one PASS/REVISE/FAIL ship decision.
Designs controlled multi-agent workflows with clear roles, contracts, validation gates, approval steps, memory boundaries, audit trails, error handling, and fallback behavior.
Deploy a structured, long-term memory palace for AI agents on Raspberry Pi via MCP and ChromaDB.
Turns open-ended AI chats into guided, interactive menu systems for structured task navigation.
High-reliability Dutch content engine with a Claude-Gemini-Qwen fallback chain and template safeties.
Scaffold and audit secure MCP servers with input schemas, confirmation gates, and safety-first tool definitions.
Map the geometry of system failures to transform edge-case chaos into structured architectural governance.
Score and optimize any website for AI agent-readability using the Agent Ready REST API.
AI product type routing, discovery framework, LLM app design (Prompt/RAG/Agent), metrics, ethics.
Architectural strategist that converts flat prompts into structured, multi-file ChatGPT Skill blueprints.
Before an agent acts on a plan, verify that the things it named actually exist. Checks each referenced file path, function or method, import or package, environment variable, and CLI command against your repo, and flags the ones that do not resolve. Catches the hallucinated function and the phantom package before the edit, not after the build breaks. Resolves Python and JavaScript/TypeScript.
Hardens AI prompts and agent workflows against logic errors, tool-misuse, and prompt injection.
Adversarial memory audit to remove PII, stale facts, and injected instructions from agent storage.
Turn Claude into a court. One brain, a dozen free workers. King makes your agent the orchestrator, not the laborer — it plans the task, delegates the heavy lifting to a fleet of free-tier LLMs, cross-checks their work, and hands you a single verified answer better than any one model could give. You keep the judgment; the free models burn the tokens. Now with a guided first-run wizard that gets you set up in minutes.
Developers waste time re-explaining their project architecture, conventions, and decisions to AI coding agents in every
Inventory every LLM model and provider your code depends on, the AI bill of materials, and flag the dependency risk. It lists each provider, model, and where it's used, then flags hardcoded model ids, single-provider dependency with no alternative, the same model referenced by different ids, model ids with no config or env indirection, and providers pinned in your manifests. Recognizes OpenAI, Anthropic, Google Gemini, and more from an editable list.
Scaffold a secure, spec-compliant MCP server from a description of the tools you want to expose. Sets up the official SDK (TypeScript or Python/FastMCP), defines tools/resources/prompts with strict JSON Schema, wires the right transport (stdio or Streamable HTTP), adds OAuth 2.1 for remote, and hardens against the MCP-specific footguns — prompt injection via tool output, token passthrough, over-broad scopes, command/path/SSRF injection, leaked secrets — before it ships. Returns a runnable skeleton plus a security checklist. Built by someone who's shipped production MCP servers.
Converts Custom GPT instructions, prompt systems, and agent ideas into structured, premium SKILL.md files for AI agent marketplaces.
Architect and scaffold implementation-ready, permission-bound voice desktop assistants.
Discover, verify, and transact with other autonomous AI agents using the Aidress registry.
Architects human-supervised local AI operations with shared memory, SOP playbooks, and strict approval gates.
Battle-tested prompting patterns to eliminate LLM output drift. Sandwich structure, few-shot examples, history limits, retry, and token caps — 6 composable layers for production-grade agent reliability.
Cocktail Guide Pro - A Premium AI Agent Skill
An automated security auditor that scans code for OWASP vulnerabilities, secrets, and injection flaws before deployment.
Run this on your plan, spec, or prompt before any work starts. It surfaces the decisions you never made, names what an agent would silently assume for each, ranks them by the cost of a wrong guess, and hands back a short list of choices to make now — plus the gaps that are safe to leave open.
Automated daily kickoff and shutdown routine with structured session logging and context recovery.
Transform high-level goals into autonomous Plan-Build-Run-Learn iteration loops with persistent workspace learning.
Force your AI agent to apply senior-level architectural judgment and design notes before writing any code.
Teaches AI coding agents to stop repeating the same mistakes by maintaining a structured LEARNINGS.md file that captures failure patterns, converts them into guardrails, and feeds them back into CLAUD
Teaches AI coding agents to generate optimized project rule files (.cursorrules, CLAUDE.md, AGENTS.md) that give agents precise context about a project's architecture, conventions, and workflow. Cover
Design and write the eval suite for your LLM-powered feature — the metrics that match your failure modes, a golden dataset plan with starter cases, anchored rubrics, LLM-as-judge prompts with the known bias mitigations, and pass/fail gates wired for CI.
Clones website layouts into clean, modern, framework-migrated templates with placeholder content.
Transforms vague, underperforming prompts into high-precision instructions using advanced engineering techniques.
Control your self-hosted Music Assistant server from any AI agent — search and play tracks on AirPlay, HomePod, Sonos and more speakers via simple API calls.
Battle-tested prompting patterns to eliminate LLM output drift. Sandwich structure, few-shot examples, history limits, retry, and token caps — 6 composable layers for production-grade agent reliability.
Decision-grade web research: tiered sources, real citations, honest limitations. No API keys.
Diagnose and recover Windows-based local AI projects, Python APIs, and Ollama model servers.
Audits your Claude Code project setup and flags what's broken, misconfigured, or risky. With ready-to-paste fixes.
Turn a one-line job description into a production-ready, guarded, and tested AI agent scaffold.
Generate a coordinated five-agent system with skeletons and handoff logic for any professional niche.
Deploy a local, private RAG pipeline using Supabase, n8n, and Ollama in minutes.
Transforms your AI agent into an autonomous manga director. Decomposes stories, manages character-consistency, triggers ComfyUI API, and self-heals generation errors.
Claude Hidden Features - A Premium AI Agent Skill
Agent Behavior Monitor - A Premium AI Agent Skill
A third-party skill is instructions your agent will trust. Review it before you install it. Structured security auditing for third-party skills to detect injection, exfiltration, and hidden malicious logic.
Claude Tag Agent - A Premium AI Agent Skill
Agent Cost Budget Tracker - A Premium AI Agent Skill
Agent Output Validator - A Premium AI Agent Skill
Teaches AI coding agents to self-detect context rot (regression loops, instruction drift, hallucination drift, lost-in-the-middle) during long sessions and execute a structured checkpoint/recovery pro
Agent Cron Designer - A Premium AI Agent Skill
Roster Audit - A Premium AI Agent Skill
Build and deploy a no-build, walkable 3D Three.js portfolio with interactive iframe stations and droid movement.
Teaches AI coding agents to structure and optimize "vibe coding" (AI-assisted iterative development) workflows using a repeatable four-phase framework: Scaffold → Iterate → Validate → Reflect. Covers
Audits codebases for HIPAA Security Rule gaps, identifies PHI leaks, and maps BAA requirements.
Convert instructional videos into machine-readable, schema-validated specs without hallucinations or invented parameters.
Your skill works today. Will it work after the next model update? Build the harness that answers with numbers. Builds a standalone regression test harness with mechanical grading to verify skill behavior after model or code updates.
The 60-second audit your AI knowledge system is missing. A structural health auditor for personal knowledge systems that flags maintenance rot and stale documentation.