「ml」の検索結果

Use when designing matrix builds (OS x version x dimension), composing reusable workflows, gating jobs on conditions, doing OIDC to AWS/GCP/Cloudflare without long-lived secrets, sharding tests across runners, or fixing cache invalidation. Triggers: workflow_call between repos, fail-fast: false tradeoffs, exclude/include matrix surgery, environment protection rules, OIDC trust policy setup, concurrency cancellation on duplicate pushes, artifact reuse across jobs, conditional job matrices computed at runtime. NOT for GitLab CI / CircleCI / Jenkins (different yaml dialects), self-hosted runner administration, or local act dev.

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State-of-the-art data visualization for React/Next.js/TypeScript with Tailwind CSS. Creates compelling, tested, and accessible visualizations following Tufte principles and NYT Graphics standards. Activate on "data viz", "chart", "graph", "visualization", "dashboard", "plot", "Recharts", "Nivo", "D3". NOT for static images, print graphics, or basic HTML tables.

日本語の概要は準備中です。原文の説明を表示しています。

Apply recognition-primed decision making to agents operating under time pressure, uncertainty, and ambiguous cues. Use for situation assessment, RPD-style action selection, and decision-support design in operational settings. NOT for batch optimization, static planning with full information, or tasks where exhaustive search is cheap and harmless.

日本語の概要は準備中です。原文の説明を表示しています。

Professional CV and resume builder transforming career narratives into ATS-optimized, multi-format resumes. Integrates with career-biographer for data and competitive-cartographer for positioning. Generates PDF, DOCX, LaTeX, JSON Resume, HTML, and Markdown. Activate on 'resume', 'CV', 'ATS optimization', 'job application'. NOT for cover letters, portfolio websites (use web-design-expert), LinkedIn optimization, or interview preparation.

日本語の概要は準備中です。原文の説明を表示しています。

Prepare for Anthropic-specific technical interviews covering Constitutional AI, RLHF, interpretability, scaling laws, MCP, agentic systems, and AI safety. Activate on "anthropic interview", "constitutional AI prep", "alignment interview", "safety interview", "RLHF opinion", "interpretability prep", "anthropic technical". NOT for general ML interview prep, system design interviews, coding challenges, or behavioral interview practice.

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Introduce people to AI, agentic AI, and AI skills with appropriate pedagogy for any audience. Covers LLM analogies, progressive complexity paths, aha-moment demos, audience-tailored explanations, workshop design, and overcoming emotional barriers to AI adoption. Activate on 'explain AI', 'introduce AI', 'AI workshop', 'AI demo', 'teach AI', 'AI literacy', 'onboard to AI', 'AI evangelism', 'explain agentic', 'explain skills to', 'AI training session', 'AI onboarding'. NOT for teaching ML engineering (use ai-engineer), not for building AI features (use ai-engineer), not for prompt engineering (use prompt-engineer), not for building training data pipelines.

日本語の概要は準備中です。原文の説明を表示しています。

Render a wiki into ONE self-contained, offline HTML snapshot (pages + provenance) for sharing or reviewing wiki knowledge. NOT for capturing knowledge (mk:wiki) or generic diagrams (mk:preview).

日本語の概要は準備中です。原文の説明を表示しています。

Generate visual artifacts: explanations, diagrams, slides, diff views. NOT plan-as-HTML (mk:visual-plan), live media gen (mk:multimodal), or browser QA (mk:qa).

日本語の概要は準備中です。原文の説明を表示しています。

Create a self-contained polished HTML showcase page for a topic/artifacts; mission + paths given explicitly, never auto-scans repo. Writes to assets/showcase/<mission>/. Screenshots need Puppeteer.

日本語の概要は準備中です。原文の説明を表示しています。

Render a plan directory (plan.md + phase-*.md) as a visual: generates/validates visual-plan/plan.json, opens a studio to view/edit, exports plan.html. Pass --static for a legacy single-file render.

日本語の概要は準備中です。原文の説明を表示しています。

Generate novel UI from a text prompt via Stitch AI; exports Tailwind/HTML + DESIGN.md for mk:frontend-design handoff. NOT implementing existing designs -- use mk:figma or mk:frontend-design.

日本語の概要は準備中です。原文の説明を表示しています。

Pack an EXTERNAL repository into one AI-friendly file (markdown/xml/json) for third-party analysis, security audits, or handoff. Do NOT use for the current project — it's already read lazily.

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Capture, gate, query, and render long-term project knowledge through the gated `mewkit wiki` subsystem. Use to create a wiki, propose/approve candidates (scanner-gated), hand off a skill's terminal artifact as a scanned candidate, recall context, search the FTS index, or list pages. Agents may only PROPOSE candidates; canonical pages are written only via human approve. NOT for short-lived JSON memory (see mk:memory); NOT for fetching external sources (see mk:wiki-research); NOT for HTML snapshots (see mk:wiki-render).

日本語の概要は準備中です。原文の説明を表示しています。

Pack an EXTERNAL repository into a single AI-friendly file (markdown/xml/json). Use for third-party library analysis, security audits, or handoff to external LLMs. Do NOT use to pack the current project for inbound context — the host runtime already reads files lazily. Triggers: 'pack this repo', 'snapshot of X', 'export codebase', 'repomix'.

日本語の概要は準備中です。原文の説明を表示しています。

Use when surfacing architectural friction and proposing deepening refactors (shallow modules → deep modules) for testability and AI-navigability. Triggers on "improve architecture", "find deepening opportunities", "where is this codebase shallow", "architecture review". Emits structured candidates + precise patches; delegates ALL rendering to mk:preview. NOT for diagram/HTML rendering (see mk:preview); NOT for trade-off deliberation (see mk:party); NOT for plan critique (see mk:plan-ceo-review).

日本語の概要は準備中です。原文の説明を表示しています。

Invoke and resume YAML-defined pipelines by name — /pipeline auto-dev runs the full release pipeline

日本語の概要は準備中です。原文の説明を表示しています。

YAML-based DAG workflow engine with topological execution and failure strategies

日本語の概要は準備中です。原文の説明を表示しています。

Fix broken agent references and symlinks

日本語の概要は準備中です。原文の説明を表示しています。

Create interactive AI role-play training activities as self-contained HTML. Use when the user asks to generate a role-play, persona practice, sales simulation, customer conversation drill, compliance scenario, or any learner-vs-AI-character training exercise.

日本語の概要は準備中です。原文の説明を表示しています。

Openapi utility services - real-time currency exchange rates, HTML-to-PDF conversion (renders JavaScript), .it domain registration/management, and managed RAG (retrieval-augmented generation over your documents). Use for these one-off utility tasks.

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Assess the reliability of companies and individuals through Openapi Risk - credit scores, CRIF reports, patrimonial reports, negative events, heirs reports, worldwide KYC (PEP, sanction lists, adverse media). Use for due diligence, creditworthiness, AML/KYC questions.

日本語の概要は準備中です。原文の説明を表示しています。

Look up company/business data through Openapi - Italian companies by VAT/tax code or name, European and worldwide company search, shareholders, UBO, AML, PEC/SDI codes, company monitoring. Use for questions like "find data about company X", "who owns VAT number Y", "search companies in France/EU/worldwide".

日本語の概要は準備中です。原文の説明を表示しています。

Generate JSON wireframe with HTML preview

日本語の概要は準備中です。原文の説明を表示しています。

Use common CLI, Kali, and shell tools to inspect web Targets, captured assets, logs, HAR/PCAP files, packages, and generated artifacts, then turn observations into Evidence, Security Signals, and ranked Hypotheses. Use when the user asks for web bug-hunting inspection, digital records, URL maps, crawling, endpoint discovery, JS bundle/package analysis, light forensics, or command-line investigation workflows.

日本語の概要は準備中です。原文の説明を表示しています。