本文へ移動
cccskills

「model」の検索結果

6,766 件 ・ 関連度順

概要と使いどころ

ApostropheCMS is a full-stack Node.js CMS that combines in-context editing for content teams with headless flexibility for developers. It is a strong fit when teams want live-page editing, MongoDB-backed content models, and a documented REST API for custom frontends.

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。

agentskillexchange/skills522026年10月17日 更新

An ASE skill built around ACF Extended, the WordPress enhancement suite for Advanced Custom Fields that adds field types, admin improvements, front-end forms, options pages, and developer tooling. It is a practical fit for agents working inside complex WordPress content models and custom field 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。

agentskillexchange/skills522026年10月17日 更新

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

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。

agentskillexchange/skills522026年10月17日 更新

AI Engine is a WordPress plugin by Meow Apps that connects sites to OpenAI, Claude, Gemini, and other models while exposing WordPress actions through MCP and REST interfaces. This skill helps agents configure providers, enable the plugin's MCP capabilities, and automate content, chatbots, media, and site-management workflows from WordPress.

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。

agentskillexchange/skills522026年10月17日 更新

Automatically optimize AI agent credit usage by routing tasks to the most cost-efficient execution path. Use when you want to reduce AI API costs by 30-75% without quality loss, classify task complexity before execution, route simple tasks to free or low-cost models, split complex tasks into optimized sub-tasks, or detect vague prompts before wasting credits.

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。

rafsilva85/credit-optimizer-v5522026年5月25日 更新

Expert customer health scoring and analytics guidance. Use when designing health scores, building churn prediction models, analyzing usage metrics, identifying at-risk accounts, creating executive dashboards, or performing cohort analysis. Use for leading indicator development, customer data enrichment, risk escalation frameworks, and retention analytics.

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。

ncklrs/startup-os-skills522026年2月27日 更新

Hand off code review to OpenAI Codex CLI. Use when asked to "review code with codex", "codex review", "get a second opinion on code", "review my changes", "review this PR", or when you want AI-powered code review from a different model perspective.

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。

ncklrs/startup-os-skills522026年2月27日 更新

Expert performance marketing guidance for paid acquisition, CRO, and growth optimization. Use when creating ad campaigns, writing ad copy, optimizing landing pages, setting up A/B tests, analyzing CAC/LTV, building attribution models, or planning retargeting strategies. Use for Google Ads, Meta Ads, LinkedIn Ads, conversion tracking, budget allocation, and funnel optimization.

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。

ncklrs/startup-os-skills522026年2月27日 更新

Expert sales operations and analytics guidance for revenue teams. Use when designing CRM workflows, building sales dashboards, optimizing pipeline analytics, creating lead routing rules, designing territories, calculating commissions, managing data quality, building forecasting models, or integrating sales tech stack. Covers Salesforce, HubSpot, Outreach, Gong, and RevOps best practices.

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。

ncklrs/startup-os-skills522026年2月27日 更新

Expert product strategist for vision, strategy, and market positioning. Use when defining product vision, assessing product-market fit, sizing market opportunities (TAM/SAM/SOM), competitive positioning, or choosing between build/buy/partner. Covers business model design, monetization strategy, platform decisions, and strategic roadmap planning.

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。

ncklrs/startup-os-skills522026年2月27日 更新

mediagen

無料

Generate images and video from text prompts via the mediagen CLI, across Gemini, OpenAI and Kie AI. Use when asked to create, generate, render, or edit an image or a video — a logo, an illustration, a mockup, a photo, a banner, a clip — or to mark existing media as AI-generated. Also covers choosing a provider or model for a generation task.

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。

Cripacx/mediagen522026年10月7日 更新

Use when the user wants a research-paper figure Skill Factory: build, patch, package, or use reusable specialized paper-figure-making skills from lawful literature/corpus evidence. Generated skills must use a specialized-skill-first workflow, full-feasible local PDF coverage where available, startup-plan-only first replies, target-paper candidate/final image isolation, mandatory image-embedded visual-structure explanation, mandatory non-target concept/modeling example display for abstract visual decisions, saved subtype/style illustration atlases, ChatGPT web Create image / ChatGPT Images 2.0 rendering, Codex $imagegen-first rendering, sample-image transfer rules, all-step/current-position state footers, and a mandatory first-round diverse candidate board followed by P6b/P6c paper-local best-practice optimization before final prompt construction.

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。

c-narcissus/research-paper-figure-skill-factory492026年5月8日 更新

Personal finance assistant for budgeting, savings goals, investment tracking, debt optimization, tax preparation, insurance review, net worth tracking, and financial scenario modeling. Supports multi-currency, bank statement import (CSV/MT940/OFX), and locale-based tax rules. Use for any personal finance question: budget planning, expense tracking, portfolio allocation, FIRE calculations, debt payoff strategies, mortgage comparisons, tax deductions, insurance coverage, retirement planning, and life events with financial impact such as marriage, buying a house, changing jobs, having a baby, or going freelance.

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。

googlarz/finance-assistant492026年10月1日 更新

Nature-style climate and ecology manuscript reviewer skill for testing biodiversity, ecosystem-function, carbon-cycle, conservation, global-change and ecological-inference claims against sampling, causal design, model structure, uncertainty and management scope.

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。

GeoGeekLab/nature-reviewer-skills482026年9月23日 更新

Nature-style hydrology manuscript reviewer skill for testing streamflow, runoff, groundwater, water storage, drought, flood, hydroclimate and water-resource claims against water-balance closure, hydrologic signatures, model structure and observational constraints.

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。

GeoGeekLab/nature-reviewer-skills482026年9月23日 更新

Nature-style atmospheric science manuscript reviewer skill for testing observation, reanalysis, model, aerosol-cloud-radiation, extreme-event, circulation-mechanism and attribution claims against their physical evidence chain.

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。

GeoGeekLab/nature-reviewer-skills482026年9月23日 更新

Cross-validate code, architecture or design decisions using a second model. Use for critical decisions, complex refactoring, security reviews.

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。

xiaobei930/cc-best482026年6月13日 更新

Use when writing Playwright tests, fixing flaky tests, debugging failures, implementing Page Object Model, configuring CI/CD, optimizing performance, mocking APIs, handling authentication or OAuth, testing accessibility (axe-core), file uploads/downloads, date/time mocking, WebSockets, geolocation, permissions, multi-tab/popup flows, mobile/responsive layouts, touch gestures, GraphQL, error handling, offline mode, multi-user collaboration, third-party services (payments, email verification), console error monitoring, global setup/teardown, test annotations (skip, fixme, slow), test tags (@smoke, @fast, @critical, filtering with --grep), project dependencies, security testing (XSS, CSRF, auth), performance budgets (Web Vitals, Lighthouse), iframes, component testing, canvas/WebGL, service workers/PWA, test coverage, i18n/localization, Electron apps, or browser extension testing. Covers E2E, component, API, visual, accessibility, security, Electron, and extension testing.

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。

yacosta738/yacosta738.github.io472026年10月17日 更新

cap-table

無料

Use for any cap-table number, mechanic, or date before a founder signs, from a single SAFE, note or warrant described in chat or a quick 'is this dilution reasonable?' check to any draft or signed SAFE, note, term sheet, option plan, AoA, Carta XLSX, or spreadsheet. A single question gets a short cited answer in about 2–3 minutes; the full report, about 5–10 minutes, runs only when the founder shares documents or asks for it. Source-cited deterministic math (YC, NVCA, Cooley GO) for SAFE/note conversion, priced-round dilution, anti-dilution, option pools, warrants, MFN chains, dual-class voting, QSBS and Israeli §102 dates, and Israeli ↔ Delaware flips. NOT for waterfall modeling, cumulative dividends, RSUs, 83(b), 409A, SPAC, warrant repricing, or pure term definitions.

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。

lool-ventures/founder-skills472026年10月16日 更新

Use for security and trust boundaries. Triggers: auth, secrets, XSS, CSRF, SQL injection, JWT, OAuth, OWASP, PII, uploads, payments, supply chain, CI integrity, agent security, threat model.

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。

lidge-jun/codexclaw472026年10月9日 更新

Use for visual explanations and documents. Triggers: diagrams, charts, interactive models, HTML reports, infographics, 시각화, 그려줘, 문서 만들어줘, 보고서, PDF 생성.

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。

lidge-jun/codexclaw472026年10月9日 更新

Design the smallest viable test to validate or invalidate a critical assumption. Based on Torres's assumption testing framework, organized by Gilad's AFTER model (Assessment → Fact-Finding → Tests → Experiments → Release Results).

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。

haabe/mycelium472026年10月17日 更新

Design a rifle-scope reticle from a plain-language description and emit it as a BallisticCalculator `.reticle` file (BXml) plus a rendered SVG preview. Covers the complete `.reticle` element/attribute specification, reticle design principles (mrad vs MOA subtension, FFP/SFP, stroke-weight hierarchy, hash-mark ladders, christmas-tree wind holds, clutter budget, BDC anchors) and worked, verified patterns for duplex, mil-dot, hash-ladder, christmas-tree, chevron, circle-dot, dense-grid and rangefinding-stadia reticles. Also covers reproducing an existing commercial reticle from its manufacturer's technical data sheet. Use this skill whenever the user wants to create, modify, review or render a scope reticle, crosshair, mil-dot / MOA grid, holdover ladder, christmas tree, BDC ladder or rangefinding stadia — including any mention of a `.reticle` file, `ReticleDefinition`, `ReticleDrawController`, `SvgCanvasFactory`, or "draw me a reticle", and including requests to clone or model a named commercial reticle (Horus H58/H59, TReMoR, Mil-C, MOAR, Tremor3, EBR, and the like). Trigger it even when the user only says something like "make a crosshair with 0.2 mil hashes out to 5 mils" or "turn this reticle picture into a file", and trigger it before hand-writing reticle XML or hand-rolling reticle geometry, because the file format silently ignores misspelled attributes and mis-cased booleans.

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。

nikolaygekht/ballistic.calculator.app.avalonia462026年8月26日 更新

implement

無料

Add WebMCP tools to a website codebase so browser agents can act through the site's own logic instead of scraping the page. Use when asked to make a site agent-ready, add WebMCP or document.modelContext tools, or implement site tools with @nekuda/webmcp-sdk.

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。

nekuda-ai/webmcp-kit462026年9月30日 更新