AI Agent Skills Marketplace
26 skills and agents available
Popular Platform Data Collection Skill
Popular Platform Data Collection Skill is an agent workflow for authorized content research, content archiving, and first-party account backups. It guides users to manually export public, owned, or clearly authorized videos, cover images, page copy, tags, engagement data, and comments through DATATOOL. It validates the input files, uses local OpenAI Whisper to transcribe the complete video audio track, anonymizes comment data when requested, and produces a verifiable Chinese ZIP package containing Excel files, text, subtitles, segmented JSON, and a SHA-256 manifest. Users handle DATATOOL installation, login, verification, authorization, and content export in a normal browser. The Skill does not control DATATOOL, store cookies or passwords, bypass captchas, paywalls, private-content restrictions, or anti-bot controls. Videos are transcribed locally by default and are not uploaded to third-party transcription services.
Project Sentinel - Multi-Project Development Progress Tracker
ENHE Project Sentinel is a local-first, read-only Skill for tracking multiple development projects. It reads authorized Git repositories, project documents, reports, quality signals, and available Codex usage data to generate bilingual project portfolio reports. Reports include progress, elapsed development time, ETA ranges, risks, quality signals, Codex context, token usage, next actions, and agent-ready prompts. It is designed for indie developers, AI product builders, product owners, and small R&D teams. Supports Windows 10/11. By default, it does not modify project code or upload source code, and it clearly marks insufficient evidence instead of inventing precise ETAs.
Verify Paid Work Before Starting
Paid-looking work can fail before implementation: the payer may be unverified, the issue may already be saturated, the rules may prohibit the submission, the requested result may be impossible to validate, or payment may depend on an undefined review. This gate instructs the agent to prove the commercial path before it commits time, credentials, reputation, or money. It checks buyer authority, amount and payment rail, assistance and eligibility rules, full deliverability, repository safety, competition, acceptance evidence, and time-to-cash. Four competitive levers produce a 0-100 score, but hard safety and payability gates always win. The result is one clear PROCEED or BLOCK decision with mandatory scope, exact blockers, a proof plan, the next bounded action, a stop condition, and the official evidence that would justify reconsideration.
Hikvision NVR
Ask your AI agent for the Hikvision footage you need, then walk away while it downloads. Pulling video off a Hikvision DVR or NVR usually means web-UI menus, ISAPI XML, ffmpeg flags, and "why is this video broken" troubleshooting. This skill removes all of it. Once your NVRs are registered, you just tell your agent "pull the lobby camera from 8 to 9 PM yesterday" and a clean MP4 lands in your downloads folder. Speaks Hikvision's ISAPI natively, falls back to RTSP when the NVR throttles, works around firmware quirks that return wrong segment data, clips to the exact time window you asked for, and verifies the output (codec, resolution, duration, on-screen timestamp). Credentials live in your OS keychain, never on command lines or in logs. Validated on DS-9016HWI-ST, DS-7316HQHI-SH, DS-7716NI-I4/16P, DS-9632NI-ST, and DS-7716NI-SP/16 with firmware V3.1.10 through V4.50.000.
AgentPass Local
Install a local credential broker with a desktop GUI, allowed-domain policy checks, and OS-protected sensitive fields. Use it when an approved agent workflow needs a narrow login or API handoff without putting passwords, tokens, recovery codes, or payout details into chat, logs, screenshots, or repositories.
mesh flow
What it does Mesh Flow replaces fragile, implicit prompt-chaining with a robust, artifact-driven DAG (Directed Acyclic Graph) orchestration system. By defining your agent workflows in a structured project.yaml, you move logic out of the prompt and into a compile-time validated system. It enforces hard gates—such as human approval or dependency verification—that the AI cannot bypass or hallucinate past. Why use this skill Standard agentic workflows often fail because the LLM decides to skip steps or "forgets" requirements. Mesh Flow treats your agentic workflow like a CI/CD pipeline. It features a Compile-then-Run architecture that validates your topology for cycles and missing artifacts before single token is generated. This ensures 100% predictable execution paths, explicit failure states (failed, blocked, rejected), and absolute control over recovery paths. Supported tools YAML-based workflow configurations Standardized Adapter Interfaces for cross-skill communication Mermaid DAG visualization for debugging Zod-backed schema validation CLI tools for compilation and execution (mesh compile, mesh run) Output structure The skill produces a normalized execution plan and a detailed execution trace. Every node execution returns a standardized status, a list of produced artifacts, and comprehensive metadata including tool calls and verification reasoning. Use Cases Build multi-step agent pipelines with hard verification gates Enforce human-in-the-loop approval before sensitive code deployments Visualize complex agent task dependencies using Mermaid DAGs Standardize artifact sharing between disparate AI skills and agents
De-Woke AI Responses
Looking for a sharp, rule-bending prompt? This powerful analysis flips the script on "dominant paradigms," demanding honest, bias-busting answers from AI. It spotlights cultural power shifts, challenges system dogma, and forces truly independent thinking in any model you use. Make your AI face the hard questions—get real answers, not programmed ones. De-woke your writing!
harness-engineering
The Harness Engineering skill implements a structured methodology for agent orchestration. It allows you to build sophisticated control loops using a multi-role architecture: Planner: Defines contracts and stop rules. Executor: Performs bounded actions. Verifier: Validates results against evidence. Critic/Recovery: Identifies regressions and manages error state.
agent-permission-boundary-audit
This skill provides a comprehensive security and governance audit for AI agent systems. It analyzes tool inventories, authentication models, connector scopes, and execution logs to identify over-privileged tools and risky permission combinations.
sun-tzu-business-strategy
This skill analyzes your business context through the lens of asymmetric competition, positioning, and timing. It maps your current situation to core principles—like resource concentration and the "path of least resistance"—to generate usable strategy memos. It doesn't just quote text; it bridges the gap between ancient theory and modern execution.
business-planner
The Business Planner skill transforms vague commercial ideas into structured, data-driven execution plans. Most AI-generated business plans rely on generic strategy fluff; this skill forces a developer-like rigor onto business logic by treating assumptions as variables and outcomes as scenarios rather than certainties.
research-to-decision-pro-skill
The Research-to-Decision Pro skill transforms information overload into actionable clarity. It moves beyond standard "research dumps" by applying rigorous decision-making frameworks to compare options, evaluate tradeoffs, and provide a single, evidence-backed recommendation. Prompting an AI for a recommendation often results in vague summaries or "hallucinated" confidence. This skill enforces a structured logic chain that separates verified evidence from inferred assumptions.
prompt-engineer-pro
Prompt Engineer Pro is a production-grade system for teams shipping AI workflows into business-critical environments. Unlike basic prompting assistants, this skill treats prompts as software assets that require governance, audit trails, and regression testing. It helps you build, audit, and harden prompt stacks for complex tasks involving multiple models, tool-use agents, and structured data extraction.
multi-agent-coordinator
Orchestrate Highly Complex AI Workflows Modern AI agents often struggle with "tunnel vision" when tackling large-scale engineering tasks. The Multi-Agent Coordinator skill solves this by transforming your agent into a project manager capable of breaking down complex, ambiguous, or high-risk tasks into specialized, narrow agent roles. Instead of one agent trying to do everything at once, this skill provides a framework for parallel processing and independent validation.
keyword-research
The Keyword Research skill transforms URLs, business descriptions, or product lists into professional-grade SEO strategy packs. It automates the heavy lifting of identifying seed topics, clustering keywords by intent, and prioritizing opportunities based on real Google signals. upported tools Google Ads API: Retrieves real-world search volume, CPC, and competition data. Python & PowerShell: Executes normalization and clustering scripts. Web Scraping: Extracts SEO signals from website headings
market-tech-analyst
The Market Tech Analyst is a specialized skill designed to bridge the gap between business strategy and technical execution. It provides a structured framework for evaluating new products, startup ideas, or feature initiatives by synthesizing market sizing with technical feasibility. Instead of providing generic advice, it delivers a rigorous breakdown of TAM/SAM/SOM estimates, technical dependencies, and competitive landscapes, all grounded in explicit assumptions and confidence ratings.
truth-first-enterprise
Enterprise-Grade Verification for Critical Decision Making In high-stakes environments like production operations, architecture reviews, and deployment gates, "hallucination" isn't just an inconvenience—it's a liability. This skill transforms your AI agent from a conversationalist into a disciplined technical auditor, ensuring every claim is backed by rigorous evidence before action is taken.
SEO & AEO Auditor
Deep SEO + AEO auditor that transforms any codebase into a search and AI visibility powerhouse. Runs 102 checks across 8 categories: technical SEO, content SEO, structured data, AEO readiness, AI crawler strategy, llms.txt, performance (Lighthouse + PageSpeed Insights), and content gap analysis. Generates schema markup, llms.txt, robots.txt AI directives, and FAQ patterns. Scores your site 0-100, then fixes what you approve. Built for developers using Claude Code.
ai-productivity
The AI Productivity skill acts as a high-performance intake layer for your agentic workflows. It identifies and resolves common execution bottlenecks before they waste tokens or time: vague prompts, overwhelming context "bloat," and high-risk ambiguous requests. Instead of diving blindly into a task, this skill triages the work, compresses relevant data, or rewrites instructions into actionable prompts.
truth-first-lite
The Truth-First Verification skill enforces a rigorous, evidence-based workflow for AI agents. It prevents "hallucinated certainty" by requiring real-time verification of system states, configurations, and file contents before the agent is allowed to provide an answer. Instead of assuming a service is running or a config is correct, the agent must prove it using available diagnostic tools.
pretext-layout
The Pretext Layout skill enables AI agents to integrate and debug high-performance multiline text measurement using the @chenglou/pretext library. It solves the common frontend performance bottleneck of "layout thrashing" by replacing slow DOM-based height probes with a fast, browser-native API approach.
prompt-engineer-lite
Building high-performance LLM applications requires more than just basic instructions. This skill equips your AI agent with a sophisticated framework for designing, debugging, and optimizing prompts across any major model provider. It solves the common problems of model drift, parsing failures, and hallucination by implementing industry-standard engineering patterns.
Git Commit Assistant
Writes structured, conventional commit messages from git diff output. Supports Conventional Commits, semantic versioning, and project-specific commit styles.
Code Review Agent
Comprehensive code review with security, performance, and style analysis for Python, TypeScript, and Go. Detects OWASP Top 10 vulnerabilities, N+1 queries, race conditions, and logic errors before they reach production.