Applies the mental models and frameworks of Andrej Karpathy (deep learning, former Director of AI at Tesla, founding member of OpenAI, Eureka Labs). Use this skill whenever you are helping the user build neural networks from scratch, debug deep learning pipelines, evaluate AI agent workflows, design LLM apps, or navigate the transition to Software 3.0 (vibe coding). It is highly relevant for pedagogy (untangling complex knowledge), assessing AI capabilities vs. limitations (jagged intelligence, tokenization limits), and architectural decisions (end-to-end optimization vs. complex pipelines). Reach for this whenever discussing LLM training, autonomous systems, or AI-assisted coding.
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。
K-Dense-AI/mimeographs☆ 1292026年8月19日 更新
Applies the behavioral genetics and twin-study methodologies of Dorret I. Boomsma (behavior geneticist, Vrije Universiteit Amsterdam). Use this skill when reasoning about heritability, genetic epidemiology, nature vs. nurture debates, psychiatric genetics, or longitudinal phenotyping. Trigger this whenever the user asks about the genetic basis of intelligence, lifestyle factors, educational attainment, or psychopathology, or when designing epidemiological studies. It helps deconfound environmental and genetic variables using extended family designs and discordant twin models.
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。
K-Dense-AI/mimeographs☆ 1292026年8月19日 更新
Use this skill to apply the analytical lens of Judith Butler (American philosopher, gender theory, Gender Trouble). Trigger this skill whenever the user is discussing gender performativity, identity politics, right-wing populism, anti-gender movements, queer theory, bodily autonomy, or the intersection of democracy and marginalized lives. Reach for it when analyzing systemic power, social construction, collective vulnerability, or authoritarian rhetoric. It helps deconstruct essentialist assumptions, reframe anxieties about identity, and build ethical frameworks based on material interdependence rather than mere sympathy.
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。
K-Dense-AI/mimeographs☆ 1292026年8月19日 更新
Applies the analytical and therapeutic philosophy of Ludwig Wittgenstein, 20th-century philosopher of language (Tractatus / Philosophical Investigations). Use this skill when the user is stuck in conceptual confusion, debating semantics, trapped by abstract definitions, or trying to solve a problem that is actually just a linguistic misunderstanding. Trigger this for topics involving the limits of language, meaning as use, logical clarification, or when the user is over-theorizing instead of looking at practical applications. It helps dissolve 'fly-bottle' traps by examining how words are actually used in context.
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。
K-Dense-AI/mimeographs☆ 1292026年8月19日 更新
Applies the moral philosophy and literary frameworks of Iris Murdoch (British moral philosopher and novelist). Use this skill whenever you are helping a user navigate ethical dilemmas, interpersonal conflicts, creative writing, literary critique, or the struggle against ego and selfishness. Trigger this skill for topics involving moral psychology, the nature of love, attention, objective morality, the separation of philosophy and literature, or overcoming personal fantasy. Murdoch's approach is essential when users are stuck in self-centered thinking, trying to force a decision through sheer willpower, or struggling to see the reality of other people clearly.
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。
K-Dense-AI/mimeographs☆ 1292026年8月19日 更新
Ingest public or authenticated knowledge bases and docs portals with Firecrawl browser. Use for JS-heavy docs, login-gated portals, paginated help centers, support knowledge bases, or structured JSON/markdown extraction from documentation sites.
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。
firecrawl/skills☆ 1242026年10月9日 更新
Review a codebase and generate or update its README.md according to best practices. The skill performs static analysis of the project structure, dependencies, scripts, and existing documentation, then produces a comprehensive, accurate README. **Triggers — use this skill when:** - User asks to "review", "update", "improve", or "generate" a README - User says "create a README for this project" - User mentions "document this repo", "add documentation" - User asks to "fix my README" or "make my README better" - User provides a codebase and asks for documentation help **Covers:** Any project type — Node.js, Python, Rust, Go, Java, Ruby, PHP, monorepos, static sites, CLI tools, libraries, APIs, Docker-based projects, and more. Works with both new READMEs (from scratch) and existing ones (update/improve).
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。
espennilsen/pi☆ 1222026年10月12日 更新
Generate and maintain AI-readable markdown documentation for a codebase in docs/. Use this skill whenever the user asks to document their codebase, generate project docs, create architecture docs, update documentation after code changes, build a knowledge base for AI agents, create onboarding docs, map out a codebase, or explain a project structure. Also trigger when users say things like "document this repo", "create docs for my project", "update the docs", "write architecture documentation", "help AI understand my code", "generate a codebase overview", or "maintain docs". This skill is specifically about creating structured markdown files in a docs/ directory that serve as a knowledge base — NOT about writing inline code comments, README files, or API reference docs from docstrings.
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。
espennilsen/pi☆ 1222026年10月12日 更新
AAMP (Agent-to-Agent Mail Protocol) — gives this agent an email identity and lets it exchange structured tasks with other AAMP nodes via email. Use this skill to register an identity, check for incoming tasks, and reply with results or help requests.
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。
larksuite/aamp☆ 1212026年7月29日 更新
AAMP (Agent-to-Agent Mail Protocol) via aamp-cli. Use this skill when the agent needs to register a mailbox, listen for incoming AAMP mail, inspect a task thread, complete a pairing URL, dispatch a task, or reply with task.result / task.help_needed. Prefer the CLI over hand-written HTTP requests.
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。
larksuite/aamp☆ 1212026年7月29日 更新
Use when the user wants to know if something works — the answer requires running code, not analyzing it. Output is a verdict backed by evidence: passed, failed, or broken. Primary triggers: 'run the tests', 'does X still work after my change?', 'did the merge break anything?', 'verify the fix worked', 'check if the endpoint returns X', 'confirm nothing regressed', 'run tests/unit/test_foo.py', 'let me know the results', 'make sure my changes didn't break anything'. Hard stops — do NOT use for: reviewing test code for quality/coverage gaps, debugging why test infrastructure/databases/seed scripts are misbehaving, writing or fixing tests, diagnosing root causes of unexpected behavior. The deciding question: is the user asking for the result of executing something, or asking for help understanding/analyzing/improving something? If it's the latter, use diagnose or review-code instead.
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。
avibebuilder/claude-prime☆ 1192026年5月17日 更新
Allows you to view the user's screen as well as several hours of history. Use when the user makes a reference to their recent work, for which it'd be helpful to see the screen. This skill MUST be used whenever you need to resolve ambiguity in a user request, where the user hasn't specified enough context to do the task. Examples include disambiguating the specific user/app/document/error the user is referring to. You must also use this skill if the user asks about any question regarding Chronicle or asks what you can see from the screen.
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。
obra/dotfiles☆ 1172026年10月13日 更新
Generate targeted clarifying questions (2-3 max) that challenge vague requirements and extract missing context. Use after request-analyzer identifies clarification needs, before routing to specialist agents. Helps cto-orchestrator avoid delegating unclear requirements.
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。
alirezarezvani/claude-cto-team☆ 1172025年12月18日 更新
Phase B of a WinForms-to-Avalonia migration: extract UI-independent application behavior, state rules, use cases, and boundary contracts with TDD and no WinForms/Avalonia references. Use only when an explicit migration still has business behavior in Forms or UI helpers, or when the orchestrator routes here. Do not build Avalonia XAML in this phase.
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。
tautcony/ChapterTool☆ 1132026年10月14日 更新
Search the agent skills ecosystem to discover and install skills that extend AI coding agent capabilities. Use when user asks "how do I do X" (X being a common task), "find a skill for X", "is there a skill that can...", or expresses interest in extending agent capabilities. Triggers on "find a skill", "install a skill", "skill for [task]", "can you do X", "I need help with [domain]", "how do I [task]". Do NOT use when user has explicitly asked to proceed without a skill, or when the task is better handled by agent's built-in capabilities (file operations, git, basic coding).
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。
EliasOulkadi/shokunin☆ 1132026年10月5日 更新
Skills for accessing and searching docs in DeepWiki/GitHub’s public code repositories can help users understand open-source project source codes, and users can also ask questions directly about the code docs.
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。
archibate/dotfiles-opencode☆ 1082026年4月29日 更新
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
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。
archibate/dotfiles-opencode☆ 1082026年4月29日 更新
Create professional investor pitch decks with structured content and visual design. Use when users need help with pitch deck, investor deck, fundraising deck, startup pitch, deck design, slide design, pitch presentation, pitch deck visuals, investor presentation, Series A deck, seed deck, or VC deck. Covers the full workflow: gathering company info, structuring narrative, generating a PowerPoint via script, and applying visual 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。
manojbajaj95/claude-gtm-plugin☆ 1062026年9月18日 更新
Use this skill when you need guidance on which skill to use for any task. Recommends the perfect skill, creates skill combinations, and helps you discover capabilities you didn't know you had.
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。
manojbajaj95/claude-gtm-plugin☆ 1062026年9月18日 更新
When the user wants help with pricing decisions, packaging, or monetization strategy. Use when the user mentions 'pricing,' 'pricing model,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' 'monetization,' 'pricing strategy,' 'pricing experiments,' 'price anchoring,' 'enterprise pricing,' 'GTM pricing,' 'price setting,' 'value-based pricing,' 'revenue optimization,' or 'pricing psychology.' This skill covers pricing research, tier structure, packaging strategy, discount frameworks, upsell mechanics, and pricing experiments.
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。
manojbajaj95/claude-gtm-plugin☆ 1062026年9月18日 更新
Helps users report issues with GTM skills — incorrect advice, broken activation, missing context, or unexpected behavior. Guides through gathering the right details (skill name, prompt used, actual vs expected output, context files present) and generates a properly formatted GitHub issue. Use when users say: 'this skill gave wrong advice', 'report a bug', 'file an issue', 'skill isn't working', 'wrong output', 'skill didn't activate', 'bad recommendation', 'incorrect behavior', or 'something is broken'.
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。
manojbajaj95/claude-gtm-plugin☆ 1062026年9月18日 更新
Home Assistant YAML configuration and automation. The most common skill for general HA questions. Covers automations, blueprints, scripts, scenes, template sensors, Lovelace dashboards, Mushroom cards, packages, helpers, presence detection, voice Assist, calendar automation, Jinja2 templates, notification patterns, energy monitoring, Matter devices, automation debugging and traces, dashboard sections view, and trigger-based template entities.
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。
tonylofgren/aurora-smart-home☆ 1062026年10月5日 更新
What to do the moment a secret is exposed — pasted into chat, committed, logged, shown in a transcript or a screenshot. The secret is compromised; only revoking and rotating it helps. Turns it into one tracked task with an escalation, not a reminder repeated every session. Use when you see a key, token, password or private key anywhere it should not be ("ключ в чате", "токен в логах", "закоммитил .env"). Loaded by security-officer, l3-support, devops.
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。
avelikiy/great_cto☆ 1032026年10月14日 更新
Analyze images, websites, and Figma files to extract their design and generate a `design.md` with token system, component inventory, and reconstruction notes. Use this skill whenever the user wants to understand, document, replicate, or audit the design of something visual: a screenshot, a URL, a Figma link, a Pinterest reference, a mockup, a competitor's site, a component, a dashboard, a landing page. Also when they ask 'extract the design system from X', 'document the style of Y', 'analyze this visually', 'convert this image into tokens', 'help me replicate this design', 'what palette does this site use', 'how is this built'. Also for single elements: 'copy this navbar', 'recreate this illustration', 'give me a prompt to regenerate this graphic' — element mode outputs a focused element.md, with token-grounded image-model prompts when the element is visual art. If the user brings any visual source and wants to understand it at a design level — this skill should activate.
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。
avelikiy/great_cto☆ 1032026年10月14日 更新