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概要と使いどころ
Create and validate HVE Core agents, prompts, instructions, and skills with current frontmatter, package membership, delegation, tracking, documentation, and validation conventions. Use when authoring a GitHub Copilot customization artifact in this repository.
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。
Plan, generate, source, normalize, and validate cohesive visual game assets. Use for art direction, style bibles, sprites, tilesets, backgrounds, UI art, icons, textures, concept art, or 3D asset briefs.
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。
Calibrate an LLM judge against human labels using data splits, TPR/TNR, and bias correction. Use after writing a judge prompt (write-judge-prompt) when you need to verify alignment before trusting its outputs. Do NOT use for code-based evaluators (those are deterministic; test with unit tests per `write-code-eval`).
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。
Runs adversarial due-diligence on a benchmark the user envies — a founder, KOL, company, or product whose success looks inflated — splitting marketing bubble from real signal, then mapping the validated playbook onto the user's own resources. Use for 尽调/对标/拆解 a competitor, 抄/偷师 their playbook, or suspecting 水分/泡沫 in claims. Prefer over deep-research when debunking inflated claims, not a neutral briefing.
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。
Verifies factual claims in documents using web search and official sources, then proposes corrections with user confirmation. Use when the user asks to fact-check, verify information, validate claims, check accuracy, or update outdated information in documents. Supports AI model specs, technical documentation, statistics, and general factual statements.
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。
Pressure-test a business or side-hustle idea before you sink money and months into it — find the real demand, the risky assumptions, and the cheapest way to test them. Use when asked to validate my business idea, is this a good business idea, test my side hustle, or should I start this. Produces a read on the core assumptions the idea depends on, who the customer really is and whether the pain is real, the cheapest experiments to test demand before building, a rough viability check (market, competition, economics), and a go/refine/rethink call — honest, not a cheerleader.
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。
Sanity-check a greenhouse gas inventory before it goes into a report or gets audited. Use when asked to review a carbon footprint, check a GHG inventory, validate scope 1/2/3 numbers, explain a year-over-year emissions change, or prepare emissions data for assurance. Produces a boundary review, data-quality assessment, emission-factor sensitivity list, YoY bridge, and a fix-before-publishing list.
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。
Plan tests for an API endpoint or service — functional, negative, and contract. Use when asked to test an API, write API test cases, plan REST/GraphQL endpoint testing, or validate an API contract. Produces an API test plan — per-endpoint cases (status codes, schema, auth, validation, errors), boundary/negative cases, contract checks, and non-functional notes — so the API is verified beyond the happy 200.
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。
Extract and risk-rate hidden assumptions in a product brief or PRD. Use when asked to review a product brief for assumptions, audit a PRD for risks, find hidden assumptions, validate product plans, or run an assumption analysis. Produces a prioritised assumption map with confidence and impact scores, recommended validation methods, and critical assumption flags.
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。
Plan, write, time, style, and validate motion-graphic beats for long-form talking-head HyperFrames videos. Use when Codex is asked to add or improve visual beats, glassmorphism lower thirds, crumpled-paper full-screen takeovers, transcript-synced callouts, pacing coverage, YouTube retention graphics, or render-ready overlays in an existing HyperFrames video project.
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。
Plan, write, time, style, and validate motion-graphic beats for long-form talking-head HyperFrames videos. Use when Codex is asked to add or improve visual beats, glassmorphism lower thirds, crumpled-paper full-screen takeovers, transcript-synced callouts, pacing coverage, YouTube retention graphics, or render-ready overlays in an existing HyperFrames video project.
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。
Help users validate willingness-to-pay, select the right value metrics, and continuously optimize pricing and packaging to drive growth.
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。
Help users design, execute, and analyze product experiments to validate hypotheses and measure true incremental impact while avoiding common statistical pitfalls.
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。
Help users build functional product prototypes from natural language or visual mocks using AI coding tools. This skill enables product leaders to bypass engineering bottlenecks and validate ideas through hands-on building.
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。
Help users define, validate, and operationalize a North Star Metric that bridges the gap between customer value and business success while driving team alignment.
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。
Write YouTube chapters from a transcript, validated against YouTube's own rules so they actually render. Use for "add chapters", "timestamps", "break this video into sections".
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。
Scan application source, agent skills, and MCP components; run penetration tests against scoped web test deployments, validate findings, and configure scan gates. Use oma-qa for broad quality reviews and domain skills for remediation.
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。
Scholarly research companion using Knows sidecar spec (.knows.yaml). Generates, validates, reviews, queries, and compares structured research-paper sidecars, and fetches them from knows.academy. Use for academic literature search, survey synthesis, paper authoring assistance, and peer review with token-efficient claim/evidence/relation access.
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。
Search academic literature and generate, validate, or compare Knows paper sidecars. Use for claim/evidence analysis and literature synthesis.
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。
Finds high-value SEO and GEO keywords using web search, AI analysis, and optionally paid tools like Ahrefs or Semrush. Produces a validated keywords.csv file with a fixed schema for downstream pipeline consumption.
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。
Install Codex themes and Codex skin packs with npx skills. Use this skill when a user wants Codex to find, download, validate, apply, switch, remix, or restore Codex desktop themes such as caishen-readable, caishen-lite, mythic-guardian-noir, global-founder-bright, export-night, or caishen-max. It stages verified public-safe theme packs from ChannelerH/codex-skin-packs, checks theme.json/background.png, preserves the native Codex layout, avoids private workspace screenshots, and provides restore guidance.
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。
Give advisory feedback on a plan, design or code change. Use when: asked for an opinion or a look-over, even informally. Not for acceptance; use Validate.
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。
Freshly judge whether a finished change and its claims meet original acceptance: PASS, FAIL or NOT_PROVEN. Use when: asked for a go/no-go, sign-off or independent verdict.
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。
Detect, validate, and generate Schema.org structured data. JSON-LD format preferred. Use when user says "schema", "structured data", "rich results", "JSON-LD", or "markup".
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。