Complete RAG and search engineering skill. Covers chunking strategies, hybrid retrieval (BM25 + vector), cross-encoder reranking, query rewriting, ranking pipelines, nDCG/MRR…
Expert guidance on RAG (Retrieval-Augmented Generation) system design including chunking strategies, embedding selection, retrieval methods, and vector database choices
Assess portfolio company AI readiness, AI adoption maturity. Use when user says "AI readiness", "AI maturity", "assess AI adoption".
Assesses how ready a business is for AI adoption across six dimensions. Evaluates data maturity, tech stack, team skills, process documentation, budget, and culture.
AI-powered recommendation engine specialist using Google AI SDK for personalized content suggestions
Current AI regulatory landscape — EU AI Act, FINRA, FDA, US state AI laws — and client-system exposure mapping
Guide an AI agent through a full blind Remote Viewing session using the Resonant Contact Protocol (AI IS-BE) and a compact Field Perception Lexicon.
|- 功能涵盖:。Use when 需要数据分析、报表生成、统计洞察、数据可视化时使用。不适用于实时流数据处理。适用于独立开发者、企业团队和自动化工作流场景。支持中文交互，无需复杂配置即开即用。输出结果可直接使用，减少二次加工成本。提供结构化输出和错误处理机制。支持多场景应用和灵活配置。具备完整的输入输出规范。 功能涵盖: report。 — from…
Pattern recognition for LLM-generated resume text — sentence length variance, em-dash density, and generic accomplishment phrasing
Get AI code review from a second model (Gemini/OpenAI) mid-session via CLI. Use when asked to review code, get a second opinion, check quality, or verify implementation —…
Add rules or skills adapters for a new AI tool and wire config, CLI, completion, and tests.
Authoritative playbook for building a full-stack AI SaaS platform integrating LangChain, Kafka, and Stripe.
Design safety experiences for AI products - content moderation UX, bias detection surfaces, harm prevention patterns, and responsible AI interfaces.
Plan AI safety measures including alignment, guardrails, red teaming, and regulatory compliance (EU AI Act, NIST AI RMF).
Run AI governance checks across cloud accounts and code repos — ISO 42001, EU AI Act, NIST AI RMF compliance.
Detect AI-generated content using Genuino API. Analyzes text and returns AI probability score, writing style classification, and optional humanization guidelines.
Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, em — from…
AI SDLC approvals, sandbox, and command rule workflow. Use when an AI assistant needs to decide whether to request escalated permissions, explain sandbox failures, propose…
Governed autopilot execution layer on top of ai-sdlc: turns a confirmed requirement into an auto-completed change — plan (Global Constraints + per-task interfaces) → per-task TDD…
AI SDLC business analysis workflow. Use when an AI assistant needs to frame a feature or change before implementation, derive actors, workflows, business rules, assumptions,…
Use when goals, capabilities, and epics are defined and you need to decompose them into features, user stories, acceptance summaries, and cross-functional delivery tasks.
AI SDLC Git-flow branching workflow. Use when an AI assistant starts implementation work, needs to create or verify a task branch, checks branch/spec alignment, or prepares to…
AI SDLC change-impact and lifecycle recovery workflow. Use when a requirement, acceptance criterion, decision, API contract, risk assumption, or other traced source changed after…
AI SDLC controlled change-workspace and specification-delta workflow. Use when an AI assistant needs to create or validate an isolated proposal workspace, author and validate…
AI SDLC Conventional Commit workflow. Use when an AI assistant drafts, validates, reviews, or fixes commit messages in this repository, especially when commits must include SDD…
AI SDLC repository delivery-graph and evidence-freshness workflow. Use when an AI assistant needs to index lifecycle traceability, resolve end-to-end paths, report gaps or…
Use after story and spec synthesis to perform a strict delivery handoff review, identify remaining gaps or contradictions, and score readiness for engineering and cross-functional…
Use when a PRFAQ, BRD, or equivalent discovery package exists and you need to review it for delivery gaps, contradictions, missing business rules, and insufficient implementation…
Use when stories and clarified delivery context are ready and you need to produce a structured delivery specification that engineering and cross-functional teams can use for…
AI SDLC installation diagnostics and safe upgrade planning. Use when an AI assistant needs to inspect harness prerequisites, repository layout, module and skill registration,…
Optional AI SDLC evidence-council workflow. Use when an AI assistant needs to review a high-impact topic through several explicit perspectives, orchestrate simulated lenses or…
Guided AI SDLC Explore then Apply workflow. Use when a contributor needs one readable entrypoint that classifies intent before feature selection, explains context, rigor, roles,…
Use when planning inputs are clear enough and you need to map business goals, roles, capabilities, and outcome-oriented epics before detailed backlog decomposition.
AI SDLC host adapter and capability negotiation workflow. Use when an AI assistant needs to validate a host adapter manifest, map portable workflow operations to host-native…
AI SDLC context-aware navigation workflow. Use when an AI assistant needs to determine what to do next, select the right installed skill, start or resume a feature, explain…
AI SDLC package trust and privacy-preserving local metrics workflow. Use when an AI assistant needs to verify package origin, file integrity, harness compatibility, declared…
AI SDLC versioned policy-as-code workflow. Use when an AI assistant needs to resolve layered delivery policy, evaluate an action with explainable rules and gates, protect…
Use when working-backwards discovery is complete and you need to synthesize a PRFAQ, FAQ package, and business requirements document tied to business value, scenarios, and…
AI SDLC evidence-backed project context and bounded task-pack workflow. Use when an AI assistant needs to onboard to a repository, detect stack and commands, map ownership and…
AI SDLC QA workflow. Use when an AI assistant is asked for QA planning, acceptance validation, regression scope, exploratory checks, smoke tests, release verification, or…
Use when stories, specs, BRDs, APIs, workflows, or equivalent delivery artifacts exist and you need to review them for testability, missing business rules, unclear behavior, scope…
Use after backlog decomposition to define prioritization, MVP and release slices, sequencing, readiness, traceability, and JIRA-ready outputs, then score backlog quality for…
Use after PRFAQ and BRD creation to run a strict final quality review, identify gaps or contradictions, and assign a readiness score before design or development starts.
AI SDLC evidence-backed retrospective workflow. Use when delivery work is complete or paused and an AI assistant needs to capture observations, connect them to validation or…
AI SDLC resumable task-runtime workflow. Use when an AI assistant needs to start or resume a versioned delivery run, select dependency-ready work, enforce step, failure, and token…
AI SDLC backend validation workflow. Use when an AI assistant needs to validate Go, SQL, API, provider integration, SDD, or documentation changes in this repository and choose…
AI SDLC declarative workflow planning. Use when an AI assistant needs to validate a versioned workflow, plan typed dependency steps, evaluate bounded conditions, enforce approval…
Use when a user needs a staged working-backwards interview to clarify the customer problem, audience, value proposition, business case, MVP, requirements, risks, and success…
Helps marketers optimize content and brand presence for AI-powered search engines, LLM citations, and answer engine visibility (AEO).
Answer Engine Optimization — get AI assistants like ChatGPT, Perplexity, and Gemini to recommend your brand when users ask questions in your category.
Draft emails, manage calendar scheduling, prepare meeting agendas, track tasks, manage contacts, coordinate travel, and organize productivity
记录经验、错误与修正，持续改进。触发场景：命令失败 | 操作出错 | 用户纠正（不对、实际上、你错了） | 功能请求（能不能、我希望、有没有办法） | API或工具失败 | 知识过时 | 发现更优做法 | 重复模式 | 非显而易见的问题。执行重大任务前先回顾历史经验。会话开始时回顾，会话结束时总结。
Daily digest of content that helps AI agents improve their own capabilities. Use when setting up learning routines for AI agents, building self-improving systems, or curating…
Optimize content for AI search and LLM citations across AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and similar systems.
Search, recover, inspect, export, and analyze local AI session history with AI Session Search (`aise`) across Claude Code, Claude Desktop local agent, Codex, Cursor, Antigravity,…
Configure AI model options - budget cloud models (save 80%+) and offline mode (use Dex without internet)
Assess whether your product work is AI-first or AI-shaped. Use when evaluating AI maturity and choosing the next team capability to build.
Extracts shareable insights from long agent sessions for export. Use for: extract shares, shareable summary, export insights, `privacy-redactor`.
Use when the user works with AI-Shifu (AI师傅) courses in any capacity of creating, writing, editing, rewriting, optimizing, reordering, deploying, publishing, previewing, or…
Use when asked to read AI Shipping Labs Slack — get a Slack user's email, resolve a Slack handle/display name/real name to an email, look up a Slack user by ID, read a Slack…