Package a contribution (gist, script, fix or skill) as a product instead of a bare snippet: README with problem and result, install steps, a test, license, honest limits and a clear entry point. Use before publishing a gist, sharing a fix or releasing a slice of internal tooling. Triggers: /pack, package this properly, make it a product, ship it with quality.
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。
tonydzi/second-brain-starter-kit☆ 82026年10月14日 更新
Send one research question to as many independent LLMs as possible at once, each in its strongest reasoning mode with proof of that mode, then synthesize. Floor of 3 models, quorum of 4; late answers are collected later. Use for high-stakes questions where one model's view is not enough. Triggers: /hyper, hyper research, ask every LLM, max fan-out research.
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。
tonydzi/second-brain-starter-kit☆ 82026年10月14日 更新
Split one source post into tier-sized drafts (teaser, main social post, longread, technical dev-log) with cross-links downward and a canonical link back to the repository. Draft-first: publishes nothing itself. Triggers: "/episode", "/adapt", "adapt this post", "make an episode".
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。
tonydzi/second-brain-starter-kit☆ 82026年10月14日 更新
Get external links to your repos through other people's curated surfaces: awesome-lists, tool catalogs and vendor showcases. Measures each list's merge queue before submitting, so nothing goes into a dead queue. Triggers: /borrowed-audience, /ba, borrowed audience, get external links, submit to awesome lists.
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。
tonydzi/second-brain-starter-kit☆ 82026年10月14日 更新
After shipping a repo, release or feature, find who on GitHub actually needs it: search issues, discussions and catalogs for the symptom, rank live threads and draft one precise reply per consumer. Use right after any artifact goes public. Triggers: /consumer-hunt, /ch, find consumers, where to submit.
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。
tonydzi/second-brain-starter-kit☆ 82026年10月14日 更新
Read-only measurement of an agent's autonomy debt from its approvals log: how many times it asked the human for permission in a window, how many asks expired unanswered, and which classes they fall into (machine noise, login or 2FA, physical UAC, money). Use to find asks the agent should have decided itself and to cut needless interruptions. Triggers: /ask-debt, autonomy debt, how often do I ask, expired asks.
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。
tonydzi/second-brain-starter-kit☆ 82026年10月14日 更新
Audits a live website for AI-engine discoverability (AEO/GEO). Crawls the site, runs 16 deterministic checks plus a 6-dimension content evaluation, and produces a scored report (A-F) with prioritized fixes. Use to get a baseline before improve-aeo-geo, or to measure progress after changes.
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。
tonydzi/second-brain-starter-kit☆ 82026年10月14日 更新
Decide-as-cofounder mode: the owner hands over the decision itself, so the agent does not ask back, does not offer a menu of options and does not wait, but picks, acts and reports the call with its reasoning. Triggers: /decide, /ds, decide yourself, your call, up to you, you know better, do as you see fit.
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。
tonydzi/second-brain-starter-kit☆ 82026年10月14日 更新
Continuous production path for deployless repositories. Use after mainline governance and release controls exist, when a repo needs CI/CD changes to automatically deploy, publish, or promote artifacts from main across any language, runtime, or hosting platform.
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。
GuiBibeau/deployless☆ 82026年6月21日 更新
Operational safety for deployless repositories. Use after mainline deployment and runtime release controls are designed, when a repo needs traces, replay tests, observability, rollback drills, smoke checks, compatibility windows, or expand-contract migration safety.
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。
GuiBibeau/deployless☆ 82026年6月21日 更新
Deployless delivery-model audit. Use first when adapting any repository toward single-mainline development, automatic deployment from main, runtime release controls, production-trace-driven iteration, AI PR governance, or multi-agent delivery 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。
GuiBibeau/deployless☆ 82026年6月21日 更新
Use for end-to-end website or interface design, redesign, implementation, or major visual polish; orchestrates discovery, references, art direction, systems, build, critique, QA, and release gates.
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。
Lrinvl1203/world-class-web-design-os☆ 82026年10月2日 更新
Use for release-level accessibility and performance review, including WCAG 2.2 AA, keyboard/focus, target size, reduced motion, semantic controls, Core Web Vitals, images/fonts/JavaScript, and animation or 3D performance budgets.
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。
Lrinvl1203/world-class-web-design-os☆ 82026年10月2日 更新
Operational guide for the three recurring NV oOS maintenance tracks: (1) Docs & Release Catch-Up — plan-first per-version docs, changelog, and version-bump passes; (2) Model Catalog & Config Updates — the monthly model-config refresh across the catalog and its derived files; (3) PR Deferred-Item Sweep — review merged/closed PRs for deferred work and file GitHub issues for what is still incomplete. Use when asked to 'catch up docs', 'update the model configs', or 'review the week's PRs for deferred work'.
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。
nvdigitalsolutions/mcp-ai-wpoos☆ 72026年10月14日 更新
Operational guide for the NV oOS Dependabot alert triage-and-remediation loop: querying open alerts via gh api, separating stale from genuinely vulnerable lockfile entries (default-branch forensics), deciding between safe in-major override bumps, scoped overrides, or deferred major migrations (npm pack signature diffing), regenerating the 13-lockfile tree, dismissing alerts with the right reason, GitHub issue housekeeping, and triaging the known CI failure modes. Use when asked to fix dependabot alerts, close out dependabot issues, bump vulnerable npm packages, or resume a dependabot session.
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。
nvdigitalsolutions/mcp-ai-wpoos☆ 72026年10月14日 更新
Audits WordPress plugin or theme PHP code for internationalization (i18n) correctness — text-domain consistency, use of escaped translation helpers (esc_html__, esc_attr__, esc_html_e), correct placeholder helpers (sprintf with translator comments, _n for plurals, _x for context), no variable text-domains, no concatenation inside __() calls, presence of load_plugin_textdomain or load_theme_textdomain, and matching declared Text Domain in the plugin/theme header. Use before plugin/theme release, when reviewing contributor PRs, when adding new strings, when migrating to a new text domain, or when a translator reports issues with the .pot file.
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。
nvdigitalsolutions/mcp-ai-wpoos☆ 72026年10月14日 更新
AI-powered design intelligence with 67 UI styles, 161 color palettes, 57 font pairings, 99 UX guidelines, and 25 chart types across 15+ tech stacks. Generates complete design systems for any product type with industry-specific reasoning rules.
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。
nvdigitalsolutions/mcp-ai-wpoos☆ 72026年10月14日 更新
Audits WordPress plugin/theme code for secret-handling and credential issues — hardcoded API keys, DB credentials, or signing secrets in source; weak randomness (rand, mt_rand, uniqid) used for security tokens, password reset links, nonces, or session IDs; password storage with md5/sha1/crypt instead of password_hash; insecure cookie flags (missing Secure, HttpOnly, SameSite) on sensitive cookies; secrets logged via error_log / var_dump in production code paths. Use before plugin release, when reviewing auth/registration/login features, when integrating third-party APIs, or when the user mentions "API key", "token", "session", "password reset".
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。
nvdigitalsolutions/mcp-ai-wpoos☆ 72026年10月14日 更新
Audits WordPress plugin or theme PHP code for the most common security mistakes — missing nonce checks, capability checks, input sanitization, output escaping, unslashing, SQL preparation, AJAX nopriv exposure, file/path traversal, and unsafe redirects. Use when reviewing pull requests, before releasing a plugin, when the user asks "is this secure", or when handling code that touches $_GET / $_POST / $_REQUEST / $_COOKIE / $_FILES / $_SERVER, admin-ajax / admin-post, REST endpoints, options, user meta, custom DB queries, or file uploads.
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。
nvdigitalsolutions/mcp-ai-wpoos☆ 72026年10月14日 更新
Create programmatic videos using React and Remotion. Translate natural language descriptions into working Remotion components for product demos, release announcements, explainer videos, and animated content.
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。
nvdigitalsolutions/mcp-ai-wpoos☆ 72026年10月14日 更新
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
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。
nvdigitalsolutions/mcp-ai-wpoos☆ 72026年10月14日 更新
Produces structured content calendars with platform-specific posting schedules, content pillars, and batch publishing plans. Use when the task asks to "plan content", "schedule posts", "create a content calendar", "editorial calendar", "posting schedule", or "content strategy". Covers content pillars, posting cadence, multi-site calendars, seasonal hooks, and content repurposing matrices.
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。
nvdigitalsolutions/mcp-ai-wpoos☆ 72026年10月14日 更新
Given the product and the existing page inventory, identify missing blog topics and generate new blog posts that capture search/AI intent using the query-fanout pattern. Use this skill whenever the user asks to "spawn blogs", "generate blog posts", "expand the blog", "build out a content cluster", "write blog ideas", "cover more search intents", "query fanout for blogs", or wants new long-form content that supports existing pillars. Output is one new post per topic in the project's existing post format (markdown, MDX, component, or CMS migration note), with frontmatter shape mirrored from an existing post.
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。
zhizdev/overgrow☆ 72026年5月2日 更新
Track engagement metrics, measure campaign ROI, and analyze content performance across Instagram, Facebook, YouTube, and TikTok.
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。
ranbot-ai/awesome-skills☆ 72026年10月13日 更新