Skill UI

A comprehensive playbook for optimizing the entire lifecycle of pull requests. It guides developers through systematic pre-flight cleanup, critical self-audits, local test verification, and structuring high-signal PR descriptions to ensure code quality and fast maintainer approval.

This skill runs a read-only audit to assess production deployment readiness. It reviews release artifacts, migration changes, configuration gaps, and potential risks (including rollback feasibility and launch blockers) before actual deployment or merging. It helps reduce coordination failures and ensures a safe release cycle.

Run a pre-deploy and post-deploy gate to catch silent failure modes that make releases appear successful while production remains broken. Verifies migrations, flags, assets, pointers, rollout state, and the live revision before reporting shipped.

This skill applies behavioral economics and price perception psychology to design pricing presentations, anchors, and tiers. It helps clarify value and fairness without misleading comparisons. Use it when structuring offers, testing conversion impacts, or framing prices for specific audience sensitivities. It ensures ethical pricing strategies that protect quality signals while optimizing willingness to pay.

A specialized AI agent for product management in the Chinese internet market. It helps prioritize requirements, plan roadmaps, analyze growth and retention metrics, and handle operational issues like project delays. The agent uses silent reasoning to identify core blockages and dominant mechanisms before providing actionable next steps, stop lists, and switching conditions. It focuses on direct, executable advice without unnecessary theoretical explanations or historical references, suitable for product owners and managers facing complex decision-making scenarios.

This senior product manager agent provides expertise across six knowledge domains including strategy, discovery, planning, execution, analytics, and communication. It applies over 30 proven frameworks like RICE and MoSCoW, utilizes 12 templates for PRDs and roadmaps, and calculates 32 essential SaaS metrics with exact formulas. Ideal for structured product analysis, prioritization, and decision-making without ad hoc brainstorming.

Create and maintain a reusable product marketing context document covering positioning, ICP, personas, use cases, messaging and brand voice. Use at project start so later marketing tasks don't repeat core context.

This skill provides sophisticated project estimation by adapting to human-only, hybrid, or agent-first development modes. It uses research-backed PERT statistics and confidence bands (P50, P75, P90) to forecast development timelines for tasks, backlogs, and capacity planning. It continuously calibrates estimates based on actual completion data, ensuring accuracy in AI-assisted and hybrid development environments.

This skill systematically audits a given project by analyzing its historical memory, rollout summaries, and local skill definitions. It identifies repeated complex workflows, recurring operational patterns, or areas where existing skills are stale. The audit process guides the user to recommend the highest-value skills to either add (if a new pattern emerges) or update (if current skills are outdated or incomplete), ensuring the AI agent operates with the most accurate and context-specific knowledge base for optimal project execution.

Govern evidence-backed canonical project state across sessions, branches, reviews, and research cycles. Maintains authoritative status, decisions, constraints, and negative evidence so any agent resuming work can verify claims, avoid repeated failures, and know the next step.

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability. Learn core capabilities including few-shot learning, chain-of-thought prompting, prompt optimization, template systems, and system prompt design. This skill helps design complex prompts for production applications, optimize consistency, and implement structured reasoning patterns for specialized AI assistants.

Protect AI systems from prompt injection attacks by implementing input sanitization, tool permissioning, and output validation. Essential for securing LLM applications, RAG pipelines, and agentic workflows against indirect and direct attacks.