Results for “definition-of-ready”

Guides users to install and run the ai-ready skill for making repositories AI-ready with AGENTS.md, instructions, and CI workflows.

Validate PRD, UX, Architecture and Epics specs are complete. Use when the user says "check implementation readiness".

Evaluate whether a product is production-ready, publish-ready, or sellable-ready. Triggers: 'publish ready', 'ready check', 'readiness review', 'quality check', 'production ready', 'sellable ready', 'can I publish', 'release check', 'final review'.

Run an AI-readiness assessment on the current repository and generate a static HTML dashboard at reports/index.html.

Coordinate the end-to-end pipeline from CAD or source assets to SimReady USD assets, including conversion, material and physics assignment, validation, conformance, and optional packaging.

Extracts key definitions, points, keywords, diagrams, exam-ready sentences, and practice questions from provided study material and syllabus.

Make any repo AI-ready — analyzes your codebase and generates AGENTS.md, copilot-instructions.md, CI workflows, issue templates, and more. Mines your PR review patterns and creates files customized to your stack. USE THIS SKILL when the user asks to "make this repo ai-ready", "set up AI config", or "prepare this repo for AI contributions".

Use this when reviewing whether an app, service, worker, CLI, or serverless system is ready for its target environment with respect to config, secrets, migrations, dependencies, observability, rollback, and runtime constraints.

Assess whether your product work is AI-first or AI-shaped, evaluate maturity across five key competencies, and get recommendations on which capability to build next.

已上线应用的本地证据生产就绪审计——上线前审查、合并后检查及事故后分析

Build a preliminary, evidence-based EU AI Act readiness assessment across AI-system inventory, territorial scope, operator roles, prohibited-practice screening, risk classification, transparency, high-risk controls, general-purpose AI obligations, governance, and implementation milestones. Use when an organization needs to triage an AI use case, vendor, model, product, or portfolio for Regulation (EU) 2024/1689; prepare an AI inventory, gap register, implementation roadmap, or counsel briefing; assess provider, deployer, importer, distributor, product-manufacturer, authorised-representative, or GPAI-provider responsibilities; or re-check readiness after regulatory or product changes.

Automatically detects your project stack and fills AI context slots, asking only for what it can't infer — your goal and the human 'why' — to reach 100% AI-readiness with minimal typing.

Turn raw ideas into one clear pre-planning concept artifact by choosing the right framing mode: problem framing, audience and value framing, concept shaping, game concept framing, or story packaging. Use when the user needs the next artifact before PRDs, sprint plans, launch execution, or game-production routing.

Internal technical readiness drill assistant for release and handoff.

Activate this skill when a student provides study material (PDF or pasted notes) and a syllabus, and wants to prepare for an exam. Extracts key definitions, points, keywords, diagrams, exam-ready sentences, and practice questions strictly from the provided material.

Review whether a product, MVP, or feature is actually ready to launch. Use when the team needs a production-minded check across product quality, UX edge cases, auth and security, observability, support readiness, pricing readiness, and post-launch measurement.

Plan, execute, document, and retest authorized security assessments of AI agents and multi-agent workflows using safe adversarial cases, synthetic identities, canaries, and evidence-based findings. Use when defining red-team rules of engagement, assessing prompt injection or excessive agency, testing tool and identity boundaries, evaluating memory or cross-agent attacks, scoring a campaign, or verifying remediation in an approved environment.

Runs an adversarial code review with two blind judges analyzing the same code from opposing perspectives to find flaws before production.

Audits a codebase for production readiness using local evidence, scoring ship/block risk and listing concrete fixes without sending repo data to external services.

Build production-ready systems with stability patterns: circuit breakers, bulkheads, timeouts, and retry logic. Use when the user mentions "production outage", "circuit breaker", "timeout strategy", "deployment pipeline", "chaos engineering", "bulkhead pattern", "retry with backoff", or "health checks". Also trigger when designing resilient microservices, planning zero-downtime deployments, or investigating cascading failure scenarios. Covers capacity planning, health checks, and anti-fragility patterns. For data systems, see ddia-systems. For system architecture, see system-design.

End-to-end review of agent validation system for live trader readiness. Audits gating thresholds, model health wiring, live feedback loop, notebook consistency.

针对 Modular RAG MCP Server 项目的老师式复习 Agent。按章节带领用户系统复习项目知识点，每道题互动问答、给出参考答案，复习结束后记录掌握进度，每次开始时回顾上次进度并建议继续或复习。Use when user says '复习项目', '帮我复习', '带我复习', '开始复习', '项目复习', 'review project', 'study review', '学习复习', '复盘', or wants to systematically review and study the project.

Prepare implementation handoffs with states, flows, assets, edge cases, and acceptance criteria.

Audits local code for production readiness, identifying risks in security, data integrity, payments, operations, and UX before shipping.

Stops fantasy approvals, evidence-based certification - Default to "NEEDS WORK", requires overwhelming proof for production readiness

Verifica la reproducibilidad y consistencia de un análisis de datos antes de presentarlo, validando contra la pregunta original y documentando limitaciones.

Design, deploy, and operate production-ready software with stability patterns, capacity planning, and zero-downtime releases.

Turns rough ideas into approved, decision-complete plans with validated structure before coding. Use when users ask in any language for planning, architecture, design direction, feasibility, value judgment, or whether a feature is worth doing before implementation. Not for bug fixes or small edits.

Deploy trained machine learning models as production-ready services using REST APIs, containers, serverless functions, and orchestration platforms. Use when the user requests model deployment or provides relevant inputs for this workflow.

Use to build Science's data, code, and materials availability — mandatory deposition in approved repositories, accession numbers, a compliant data-availability statement, and materials/reagent sharing.

Friendly docflow readiness check: one status, one reason, and the exact next command. Use when asked if docflow is set up, ready, or "what do I do next".

Generates AI-ready context files for any codebase by auto-detecting the tech stack, scoring AI-readiness, and producing a portable .faf file that works across AI tools.

Broad risk assessment — key-person, technical, regulatory, competitive, financial, and execution risks beyond product/market

Complete meeting lifecycle skill — preparation before and follow-up after any professional or personal meeting. Use this skill whenever the user mentions an upcoming meeting, wants to prepare for a meeting, needs an agenda, wants to brief themselves before talking to someone, needs to write up meeting notes, wants to send a follow-up email after a meeting, needs to capture action items, or says anything like "I have a meeting with...", "I just got out of a meeting", "help me prepare for...", "I need to follow up on...", or "what should I ask in this meeting." Also trigger for specific meeting types: job interviews, performance reviews, 1:1s, sales or client calls, and difficult conversations. Both modes are covered: PRE-meeting preparation and POST-meeting follow-up. Trigger proactively even when the user doesn't use the word "meeting" — if they describe a situation where they're about to talk to someone important, or just finished such a conversation and need to capture it, this skill applies.

Turn a cold dial into a conversation. A permission-based opener plus ready objection turns for "not interested," "no time," "just send me info," and "we already use X," tuned to one persona. Built for B2B SDRs and full-cycle reps, customizable to your persona, offer, and dialer. Trigger on "write a cold call opener", "give me objection responses", "handle 'not interested'", "cold call script for this persona", or any live-dial prep.