AI Agent Skills Marketplace
Showing 8 of 8 results
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.
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!
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.
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.
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.