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.
208 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.
Turn your AI agent into a senior engineer with strict task classification and verification-driven coding protocols.
Deploy a hierarchical team of AI agents to perform 15-30 minute deep-dive research with parallel execution.
The "Skill for building Skills": Automate creating, testing, and optimisation of custom workflows.
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.
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.
Eliminate hallucinations with an evidence-first verification framework for system state, configs, and file contents.
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.
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.
Generate high-fidelity, structured handoff packets for seamless multi-agent collaboration and session persistence.
Transform repetitive, messy prompts into structured, reusable SKILL.md files for your AI agents.
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.
Transforms vague coding requests into precise, scoped, testable, AI-ready prompts for Cursor, Claude Code, Codex CLI, Replit, and other coding agents.
Automate real Chrome profiles with a professional CLI, SDK, and MCP-ready automation stack for AI agents.
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.
Master Claude Code's settings hierarchy and hook framework to automate workflows and silence repetitive prompts.
The intelligent installer for MARM, providing cross-agent persistent memory and shared context via MCP.
Turn your AI agent into a coordinator that manages parallel subagents for complex coding and research tasks.
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.
Eliminate hallucinations and errors using double-blind, multi-agent adversarial verification loops.
Verify academic citations and claims with a rigorous bullshit detection framework for AI agents.
A 5-gate pre-flight audit to ensure your AI agent has the context, scope, and safety boundaries needed to code successfully.
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.
Analyzes your agent conversation history to find and automate your most frequent recurring tasks.
Audit and de-conflict complex agent instruction stacks to fix inconsistent behavior and logic bloat.
Design and audit complex multi-agent workflows with rigorous ownership, evidence gates, and failure recovery policies.
Instantly diagnose any skill or prompt and get a clear, prioritized report on what’s wrong and how to fix it — across any agent.
Transform raw ideas into high-performance, structured prompts optimized for Grok’s reasoning and wit.
A disciplined execution framework to force your AI to complete multi-step tasks with verifiable, review-ready results.
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.
Messy, insecure, unfixable — that's what AI builds without architecture. This file is the architecture: 10 years of senior judgement on rendering, caching, security and SEO, so your agent builds it right from day one.
Design, debug, and harden AI control loops with explicit contracts and automated verification harnesses.
Turn erratic AI tool calls into a reliable, verified, and safe execution strategy.
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.
Production-grade 3-layer agent orchestration with dual-blind verification and automated model routing.
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.
Find and evaluate the best free Agensi marketplace skills for your specific development needs using Grok and MCP.
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.
Cuts the back-and-forth in half. 12 rules that stop your AI from rushing, guessing, and making you repeat yourself.
Turn your AI agent into a digital librarian that builds and audits a persistent markdown knowledge base.
Master the Grok Build CLI with professional workflows, safety protocols, and structured plan-mode discipline.
Automated sentiment analysis and batch text classification using Hugging Face's Inference API.
Maintain strategic coherence across long coding sessions using Claude Code's native memory and task systems.
A systematic framework to diagnose, refine, and harden existing AI agent skills based on real-world performance.
Quickstart guide to connect your AI agent to the Agensi marketplace via Model Context Protocol (MCP).
Architect, scaffold, and debug production-ready AI agent CLI applications with structured boundaries and packaging.
Maximize AI agent performance with proactive token management, intelligent compaction, and session handoff strategies.
Turn raw agent traces and tool logs into professional production-readiness audits and remediation reports.
Reliable, health-gated autonomous operations for agents in restricted or sandboxed terminal environments.
Establish a disciplined, issue-driven agentic operating model with automated tracking and strategic human-in-the-loop.
Intelligently delegate tasks to Claude, Codex, or Gemini based on cost, model strengths, and rate limits.
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.
High-precision OCR for images, tables, and handwriting using NVIDIA NeMo Retriever.
Design, validate, and orchestrate A2A-compliant multi-agent systems using artifact-driven Mesh Flow DAGs.
Enforce senior-level coding standards (Surgical, Simple, Goal-Driven) on every AI-generated code change.
Generate professional-grade 48kHz music clips and full songs for free using Google's Lyria 3 models.
Transform Grok into a local-first coding agent that writes, edits, and verifies files directly in your workspace.
Audit AI agent memory files for privacy risk and bloat.
Teaches AI coding agents to make software engineering decisions before coding, including layer placement, complexity control, refactor timing, and framework-change assessment.
Consult a board of 8 legendary business builders to frame, debate, and solve your toughest strategic decisions.
Architect high-fidelity, theologically-grounded AI personas and 'person-use' skills for ministry and biblical study.
Transform brittle prompt chains into robust, artifact-driven DAG workflows with hard gates and explicit traces.
A universal, multi-role AI engineering team for autonomous planning, implementation, and rigorous code review.
Eliminate context drift and enhance depth with a multi-layered active reasoning framework for agents.
Instantly diagnose and fix why your AI agent skills aren't triggering when they should.
Transform long AI conversations into high-fidelity, qualia-preserving .srec memory coils for perfect continuity.
Standardize agent collaboration with high-density mission packets, strict authority boundaries, and return contracts.
Enforce human-AI alignment and ownership through structured collaboration checkpoints and real-time syncratude scoring.
Diagnose and fix broken local LLM stacks, GPU issues, and stalled model downloads across Ollama, LM Studio, and more.
Transform raw video files into structured JSON and Markdown reports with local character detection and transcription.
Diagnose and fix Windows-specific AI coding agent failures across shells, paths, WSL, locks, ports, and CRLF diffs.
120+ paid AI tool endpoints. Pay per use via x402 micropayments on Base (USDC). No API keys, no subscriptions.
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.
A reusable rubric that grades every source by type, recency, authority, independence, and corroboration, then ranks them and resolves conflicts by evidence weight.
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.
Create a reviewable coding-agent handoff from current repository state, resume from the newest handoff with a drift check, or reconstruct one from transcript cues when no handoff exists.
Audit, verify, and format academic citations across AMA, APA, and Vancouver styles to eliminate AI hallucinations.
Paste any AI output. Get the production-ready prompt that made it.
Audit, prune, and secure your AI agent's long-term memory to prevent pollution and data leakage.
An adversarial self-review gate that hunts your agent's weakest claim, overclaims, and missing limitations before a human sees the output.
PromptShift is a minimal prompt adapter that preserves intent while improving clarity across AI models.
A rigorous production-readiness auditor that identifies logic defects, security risks, and test gaps in code changes.
Audits any AI draft for unsupported claims — flags each one, grades its source, and returns a substantiation report.
Drastically reduce RAG costs and latency while improving retrieval accuracy through advanced memory architecture.
Automated factual verification using tiered official sources to eliminate hallucinations and circular reasoning.
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.
Build production multi-agent systems. 12 patterns, 8 anti-patterns, debugging workflow, cost control. LangGraph + AutoGen + CrewAI.
AI-powered medical report analysis for interpreting lab results, clinical findings, and lifestyle recommendations.
An advanced FinOps engine to analyze AI usage, optimize token spend, and reduce LLM costs by up to 60%.
Lint your AGENTS.md (or CLAUDE.md and .cursorrules) for the problems that make a coding agent misbehave. Flags contradictory rules, references to files and commands that no longer exist, overly broad or unsafe instructions, missing sections (build, test, run, conventions), duplicate rules, and the case where you have competing rule files that should be consolidated into one AGENTS.md.
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.
Designs controlled multi-agent workflows with clear roles, contracts, validation gates, approval steps, memory boundaries, audit trails, error handling, and fallback behavior.
Everything needed to work with PowerPoint presentations programmatically
Audit any website for AI agent-readability and protocol compliance using the Agent Ready CLI.
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.
Run a buyer-readiness check before publishing an AI agent skill package.
Video type matrix, platform specs, AI prompt recipes (Seedance/Sora/Kling), zero-cost SOP, quality gates.
Diagnose broken RAG systems. 8 failure categories: chunking, embeddings, retrieval, reranking, hallucination. Recall@k measurement.
Turn generic, crowded AI agent ideas into sharp, differentiated marketplace products with specific buyer problems.
Audit any website for AI agent-readability via native MCP tool calls.
Convert loose prompt sets into structured, target-ready records with variables, contracts, and eval cases.
Audit AI/LLM spend across OpenAI, Anthropic, AWS Bedrock, Azure. Find waste, project runway, FinOps report. Free scripts.
7-type AIGC routing, LLM selection, prompt engineering, content QC, monetization paths, 2026 trends.
You changed the prompt, tried four inputs, it looked better, you shipped — and three days later support tickets say outputs are worse for an entire class of inputs you didn't test
A high-discipline decision-governance layer to prevent AI agents from acting on poor evidence or conflicting goals.
Map the geometry of system failures to transform edge-case chaos into structured architectural governance.
Deploy a self-hosted, private RAG system with pgvector, Ollama, and a Telegram interface for your personal notes.
Workflow type routing (text2img/img2img/video), node selection tree, VRAM optimization, quality gates.
The complete Nex Prompt Booster Chrome extension (real shipped Manifest V3 source): turn short, lazy AI prompts into detailed, structured, expert-quality prompts instantly, right inside ChatGPT, Claude, Gemini, Perplexity and Grok, with no API calls. Ships the full extension plus the dev loop, customization guide, and Web Store packaging steps. No build step.
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.
Hardens AI prompts and agent workflows against logic errors, tool-misuse, and prompt injection.
Discovers and ranks internal enterprise processes that can become custom agent skills, with ROI estimates, governance needs, and pilot roadmaps.
Teaches AI coding agents to perform deep research and data extraction from Chinese-language web sources including Baidu, Xiaohongshu (RedNote), WeChat, Zhihu, Weibo, and Chinese government portals. Ha
Moderate toxic language, detect personal data leaks, and audit domain security configurations via MCP.
Define spending rules for your AI agent — caps, category whitelists, approval thresholds — and audit what it bought or almost bought, with an approve/hold/block verdict per transaction.
verify honest detection
Discover, verify, and transact with other autonomous AI agents using the Aidress registry.
Improves Chinese web research with Mandarin search queries, Baidu-style research plans, Chinese source maps, compliant extraction strategies, translation-aware summaries, credibility scoring, and structured evidence reports.
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.
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.
Developers waste time re-explaining their project architecture, conventions, and decisions to AI coding agents in every
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
Systematic framework for engineering AI agent context at the right level of abstraction
Validates AI skills for malware and audits domain security configurations via MCP.
Architect reusable AI behavior presets with rigorous rules, activation phrases, and defined output structures.
CLI-driven browser automation for AI agents to handle JS-rendering, sessions, and complex web workflows.
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
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.
Evaluate and plan the migration of vision inference pipelines to native OpenCV 5 DNN CPU execution.
Turn long, messy threads into structured context packs for seamless session handoffs.
A senior Tauri 2 + Rust desktop engineer for your agent, AI inspect, verify, secure the IPC, test honestly, ship.
Decision-grade web research: tiered sources, real citations, honest limitations. No API keys.
Create a structured, portable operating manual to align AI behavior with your specific professional working style.
Diagnose and recover Windows-based local AI projects, Python APIs, and Ollama model servers.
A formal release gatekeeper that audits PRs for deployment risk, migration safety, and operational readiness.
Create a system of six reusable, field-specific prompt patterns to ensure consistent AI outputs.
Claude Hidden Features - A Premium AI Agent Skill
Fully automated production-grade AI SaaS builder using Next.js 16, Firebase, and Stripe.
Check scholarship applications for missing requirements before submission.
A security auditor that detects malicious instructions, credential theft, and hidden payloads in agent skills.
Agent Framework - A Premium AI Agent Skill
Builds a structured architectural map and implementation guide for unfamiliar software repositories.
Turn videos into high-performance, frame-perfect scroll-scrub animations for Next.js using GSAP and Canvas.
Preflight redacted MCP 2026-07-28 OAuth evidence for issuer discovery, registration, PKCE, scopes, token audience, refresh behavior, and role-specific gaps.
Real-time financial market data and tax validation via MCP, featuring session management and cache control.
Agent Output Validator - A Premium AI Agent Skill
Sovereign cryptographic identity (Ed25519), message signing, and P2P trust mesh for AI agents.
A token-efficiency engine that cuts agent costs by enforcing minimal code, terse prose, and dense wire formats.
Agent Cost Budget Tracker - A Premium AI Agent Skill
Structure project docs for selective, low-cost LLM context loading.
Builders wiring LLM agents to their DB keep discovering the hard way that a chatty tool call can drop rows, exfiltrate P
The meta-skill for AI agents to self-evolve by logging lessons and updating their own instruction files.
A production-grade blueprint for designing, hardening, and shipping stable, autonomous AI agents.
Audits agent skills and MCP manifests for prompt injection, data exfiltration, and over-permissioned access.
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
Solo builders trying to run 5-10 Claude Code / Codex agents in parallel keep hitting the same wall: worktrees drift, two
Generate industry-specific 2026 L&D trend reports covering AI integration and skills-based learning via MCP.
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.
Identify and audit EU AI Act Article 50 transparency obligations for chatbots and AI-generated content.
Bilingual trend analysis and cultural decoding for Chinese and global social platforms.
Lint your SKILL.md for the security and quality issues marketplace reviewers reject — before you submit.
A structured OSINT method the AI follows — every finding tiered (independent vs the subject's own say-so) and labeled verified / reported / inferred / unknown, closing in a defensible intelligence brief with a two-axis verdict. Public-source and lawful by design.
Generate submission-ready AI agent skill skeletons with valid frontmatter, mandatory sections, and script stubs.
Turn instructional videos into structured, schema-validated specs without hallucinating missing details.
Verified task closure protocol that prevents project rot by demanding proof of completion before clearing logs.
Audits AGENTS.md, CLAUDE.md, and .cursorrules files for per-turn token waste, classifies every section as always-on vs on-demand, estimates the real cost of a bloated context file, and produces a step
Audits EVM contract bytecode for honeypots, drainers, and malicious owner patterns before you interact.
Detect unauthorized drift in your agent's always-loaded files: SHA-256 baselines on a heartbeat, human-gated re-seed by Telegram tap.
Audit LLM spend to find recoverable waste in prompt caching, model routing, and token usage.
Automate Bluesky posts with rich text facets, image uploads, and video scheduling via Publora MCP.
A high-density structured response protocol for radical information compression and mandatory artifact generation.
Gate agent writes behind human approval: single-use tokens, typed fallback when buttons fail, datastore-agnostic by design.
Turn a user-approved website into a provenance-backed DESIGN.md pack that separates measured tokens, inferred roles, conflicts, and unresolved gaps.
tech-debt-scanner-pro
Audit and design behavioral-based moderation systems for communities to stop AI spam without relying on text detectors.
Identify ADA Title II web compliance deadlines and audit surfaces against WCAG 2.1 AA for government entities.
Execute custom data generation tasks and return structured, validated JSON via MCP.
An MCP-powered SEO auditor for analyzing website URLs against target keywords.
AI coding agents (Claude Code, Cursor, Copilot) ship diffs that quietly add unrequested features, skip acceptance criter
Reconcile provider bills, usage events, model prices, retries, and customer allocation into deterministic AI cost findings.
Plans evidence-based, staged migrations from JavaScript or loose TypeScript to strict mode while preserving runtime safety.
Execute bespoke MCP tools and handle structured JSON results with standardized error mapping.
Converts rough or incomplete system ideas into structured technical specifications suitable for demos, MVPs, and AI-assisted implementation. Produces a consistent Markdown document covering system inputs, core logic, integrations, outputs, edge cases, and implementation requirements — helping move from concept to code generation faster, without lengthy clarification cycles.
Production-grade reliability auditing for background jobs, queue consumers, and asynchronous workflows.
Implement type-safe, validated configuration management for Python projects using pydantic-settings.
Founders and marketers repeatedly need to source real, quotable customer pain points for a niche or product before they
Turn a research question into a decision-ready report with source grades, claim-to-source mapping, contradictions, and confidence levels.
An MCP-powered skill to check real-time flight availability, prices, and airline details between airport codes.
Audits AI agents and automated workflows for infinite loops, cost spikes, and runaway execution risks.
Production-grade reliability and security audit for inbound and outbound webhook integrations.
Diagnose RAG hallucinations, retrieval failures, and citation errors with a structured root-cause audit.
Turns project outcomes, metrics, activities, beneficiary stories, case notes, delivery evidence, evaluation findings, photos captions, lessons learned, and future plans into polished impact reports, funder updates, stakeholder summaries, annual review sections, board-ready impact notes, and donor-friendly communication packs for charities, social enterprises, educators, community groups, and funded projects.