Make your AI agent learn and improve automatically. Reviews sessions, extracts learnings, updates memory files, and compounds knowledge over time.
Explain an AI or LLM concept at the depth the person actually needs — working definition, the mechanism, where it breaks, and the decision it changes.
Use when working with .ai/ directory files, aisync.toml, or AI tool configuration. Teaches the canonical format, conditional tags, and sync relationships.
Offer fractional AI engineering and consulting services. Act as a part-time AI executive for companies that can't
AIコーディング支援ツールのコンテキストファイル（CLAUDE.md等）を最適化するスキル。 以下の状況で使用: (1) ユーザーが「CLAUDE.mdを改善して」「コンテキストファイルを最適化して」と依頼した時 (2) ユーザーが明示的に「/ai-context」を実行した時-optimizer (3) AI向けドキュメントの品質改善を — from…
AIコーディング支援ツールのコンテキストファイル（CLAUDE.md等）を最適化するスキル。 以下の状況で使用: (1) ユーザーが「CLAUDE.mdを改善して」「コンテキストファイルを最適化して」と依頼した時 (2) ユーザーが明示的に「/ai-context」を実行した時-optimizer (3) AI向けドキュメントの品質改善を — from…
Build the context an AI needs to do a task well — the background, constraints, examples, and format it can't guess — so you get a great result on the first try instead of a…
Design conversational AI interfaces that feel natural, recover from failures gracefully, and build user trust through dialogue.
Generate summaries for conversation content. Helps users quickly get a summary of their chat history with support for incremental updates.
AI-native IP skill: generate patent applications, software copyright materials, or technical disclosures from AI project code/papers/docs, with direct Word and PPT output.
Fix Core Web Vitals issues with AI guidance. Use when your Lighthouse scores are bad. — from satoshistackalotto/skills
Run any question, idea, or decision through a council of 5 AI advisors who independently analyze it, peer-review each other anonymously, and synthesize a final verdict.
Deep, interactive variant of ai-council with three user-in-the-loop checkpoints (clarify, surface assumptions, iterate). Same five advisors and anonymous peer review.
Convene a council of ~4 frontier models via the OpenRouter API for independent parallel reviews of a PR, plan doc, or files, then synthesize agreements and dissents in-session.
17-lesson 2026-current supplement to the AI Model Factory by Herman Carter course. Each lesson fills a specific gap in Herman's 2025-vintage stack with the May 2026…
Cross-verify Claude-generated plans and code using OpenAI Codex and Google Gemini CLI. Provides code review, plan validation, and comparative analysis.
Fetches AI news from smol.ai RSS and generates structured markdown with intelligent summarization and categorization.
Start every day focused. Get a morning briefing with overdue tasks, today's priorities, calendar overview, and context from recent meetings.
Check schema drift, required columns, PII declaration, retention, and governance controls against a declared data contract.
Use when mapping AI data flows and assessing privacy necessity, lawful basis, risks, controls, residual risk, and consultation triggers.
Protecting personal and sensitive data throughout the machine learning lifecycle, from training to inference.
Manages AI model retention and machine unlearning requirements. Covers training data deletion verification, model versioning for compliance, machine unlearning techniques (SISA,…
Define a data strategy for AI products covering training data requirements, data quality, labeling strategy, feedback loops, and continuous retraining.
Implements data subject rights mechanisms for AI systems including right to explanation of AI decisions, contestation procedures, human review, model output correction, and…
Lay out the network for distributed training so collectives run on the fastest link that spans them, using NVLink, InfiniBand, and topology-aware placement.
Use after generating code, after accepting AI suggestions, or when reviewing AI-written modules. Also use when code works but feels brittle, when error handling seems thin, when…
Use when a phase involves LLMs, AI agents, RAG, ML inference, or prompt/tool integration design
Use this plugin when the user wants a premium single-page creative-studio / designer portfolio landing page on a white background: serif-accented hero, an infinite GIF marquee,…
アイデアや曖昧な要件を PlanGate の PBI INPUT PACKAGE に対話的に整理する。Use when: docs/working/TASK-XXXX/pbi-input.md を新規作成したい時、要件をブレストして PBI に落としたい時。
PlanGate の exec フェーズを TDD で実行する。Use when: C-3 APPROVED 後にコード実装を開始したい時、workflow-conductor 配下で実装タスクを進めたい時。
Search 8,400+ AI and ML jobs across 489 companies, inspect listings and employers, match roles, and view salary and market stats via AI Dev Jobs MCP
Use when modifying assets (rules, skills, agents, hooks) in ai-dev-setting and deciding whether changes need reinstallation across projects, or when running setup/update-all…
Synchronize and update Claude Code and GitHub Copilot development tool configurations to work similarly.
Synchronize and update Claude Code and GitHub Copilot development tool configurations to work similarly.
PlanGate の V-1〜V-4 受け入れ検査と handoff.md 発行を行う。Use when: exec 完了後に受け入れ検査を実行し PR 準備したい時。
AIに日記を書かせるスキル。セッション終了時に会話を振り返り、自由な日記風テキストを生成して保存する。「日記書いて」「今日の振り返り」「diary」「今日のまとめ」「セッション記録」「振り返り書いて」「ログ残して」「write a diary」「session recap」といった要望や、セッション終了時の記録にも使う。ユーザーが /ai-diary…
Еженедельный дайджест новостей в сфере искусственного интеллекта. Use when user asks to "дайджест AI", "новости ИИ", "что нового в AI", "AI digest", "AI news", "дайджест…
Create and sell AI-powered digital products. Build templates, prompt libraries, workflows, and Notion systems. Generate $500-5K/month passive income.
Use when AI contribution metadata must match the actual workflow, when model alias and dated identifiers need auditing, when verified and fabricated citation counts feed a release…
Decide when and how your product and communications must (or should) label AI-generated content, and write the disclosure policy — surface-by-surface rules, exact label wording,…
Audit how a brand appears in AI-powered search (ChatGPT, Perplexity, Claude, Gemini). Use when user mentions "AI search," "how do I show up in ChatGPT," "AI discoverabili — from…
Audits installed MCP servers, explores available tools, checks existing skills, maps skill actions to MCP tools, verifies portability, and enforces DRY principles across AI…
Conducts Data Protection Impact Assessments for AI and ML systems per EDPB Guidelines 04/2025 on AI processing.
当用户搜索 AI Live图、Live Photo、实况照片、商品实况图、小红书Live图、电商图片、商品视频、AIGC营销、淘宝、京东、抖音、小红书、Amazon、Shopify、AI-HIVE MCP…
Dokumentiert KI-Einsatz, Vertraulichkeit, Datenschutz, Autor:innenmaterial, Fremdrechte, Trainingsverbot, Freigaben und interne Verlagspolitik.
Create new AI chat interface components for the ai-elements library following established composable patterns, shadcn/ui integration, and Vercel AI SDK conventions.
shadcn/ui AI chat components for conversational interfaces. Use for streaming chat, tool/function displays, reasoning visualization, or encountering Next.js App Router setup,…
Apply when changing AI summary, draft, or priority behavior. Keeps Anthropic-path output and deterministic-fallback-path output structurally identical so the UI cannot tell them…
Stand up a production-ready AI employee operating system in one guided session. Outputs 7 ready-to-use files: IDENTITY.md, SOUL.md, AGENTS.md, USER.md, MEMORY.md, HEARTBEAT.md,…
Automatically detect and catalog recurring errors as AI pain points in need of skills. Activates when the same error is encountered twice in a session.
Design graceful failure experiences for AI products - hallucinations, uncertainty, wrong outputs, and edge cases.
Develop "quizzes" (evals) to measure model performance on specific tasks. Use these benchmarks to guide fine-tuning, determine product UX patterns, and track performance…
Build an eval suite for an LLM feature with datasets, graders, and regression gates that block bad releases.
Design an evaluation plan for an LLM or AI feature before shipping it. Use when asked how to evaluate a prompt/model/agent, set up an eval harness, define quality metrics for an…
Help users create and run AI evaluations. Use when someone is building evals for LLM products, measuring model quality, creating test cases, designing rubrics, or trying — from…
Help users create and run AI evaluations. Use when someone is building evals for LLM products, measuring model quality, creating test cases, designing rubrics, or trying — from…
Comprehensive AI/LLM evaluation toolkit for production AI systems. Covers LLM output quality, prompt engineering, RAG evaluation, agent performance, hallucination detection, bias…
Design a Funhouse Mirror activity where students use their own domain expertise to detect AI distortions, omissions, and overconfidence.
Design AI-supported collaborative tasks that structure group interaction and address participation problems. Use when students struggle to collaborate effectively on group tasks.
Check what AI assistants tell buyers about a company (plans, prices, contract terms, what is included, who it is for) against the company's own pricing and service pages, and…