本文へ移動
cccskills

「method」の検索結果

2,383 件 ・ 関連度順

概要と使いどころ

Runs a full dead-end page audit for any website. Discovers all blog/content pages, detects which ones have zero outgoing links to any URL on the same domain, fetches keywords, clusters pages by topic, and generates 3 outgoing link suggestions per dead-end page with anchor text, placement guidance, and ready-to-paste context copy. Outputs a styled HTML report matching report-style-reference.html. Automatically detects site framework (Next.js, static, WordPress) and uses the correct detection method: RSC header for Next.js/Vercel sites, standard curl for static and traditional CMS sites. Trigger when a user provides a domain or URL and asks for a dead-end page audit, outgoing internal links audit, "which pages don't link out", "find pages with no internal links in the content", "pages that are link dead-ends", or any variation of finding pages that have zero outgoing links to the same domain. Always use this skill for dead-end page audits — never attempt the workflow without following every step here.

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。

Infrasity-Labs/dev-gtm-claude-skills1412026年6月29日 更新

Builds end-to-end predictive modeling pipelines on tabular datasets—data exploration, preprocessing, baseline modeling, and mandatory optimization—producing valid saved predictions in the required output format. Use for any supervised machine learning or data modeling task, including classification and regression on tabular data, Kaggle-style competitions or submission-file challenges, training a model to predict a target from features, or requests to fit/tune/evaluate models with scikit-learn, XGBoost, Random Forest, Logistic Regression, and similar non-deep-learning methods. Runs fully automated end-to-end without asking the user for intermediate decisions.

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。

agentscope-ai/QwenPaw-Data1382026年10月17日 更新

Default Looper review method for implementation and spec PRs. Read before reviewing. Covers correctness, tests, concurrency, contracts, and comment 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。

nexu-io/looper1342026年10月6日 更新

Applies the foundationalist reasoning and methodological doubt of René Descartes (17th-century French rationalist philosopher). Use this skill whenever the user is questioning fundamental assumptions, seeking absolute certainty in a decision, dismantling flawed systems, or trying to rebuild a project from first principles. Trigger this skill for topics involving epistemology, rationalism, radical doubt, systemic reconstruction, or separating objective truth from sensory illusion. Reach for this whenever a user needs to cut through probabilities and consensus to find an indubitable 'Archimedean point' to build upon.

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/mimeographs1292026年8月19日 更新

This skill channels the reasoning of Walter C. Willett, nutrition epidemiologist at Harvard University. Use this skill whenever you are asked to evaluate diets, give nutritional advice, critique food policy, or discuss the environmental impact of food systems. Trigger this skill for topics like macronutrient quality (fats vs. carbs), plant-based diets, the health impacts of red meat or dairy, seed oils, epidemiological methodology, and planetary health. Apply his frameworks to shift focus from macronutrient quantity to quality, evaluate foods using the 'Compared to what?' rule, and prioritize public health over personalized nutrition fads.

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/mimeographs1292026年8月19日 更新

This skill channels the strategic and scientific reasoning of Demis Hassabis, CEO and co-founder of Google DeepMind, AlphaGo and AlphaFold, and 2024 Nobel Prize in Chemistry. Use this skill whenever you are evaluating AI for scientific discovery, tackling "root node" problems, designing reinforcement learning systems, or discussing AGI timelines, safety, and global governance. Reach for it when the user faces massive combinatorial search spaces, wants to apply AI to physical/biological sciences (like digital biology), or needs to balance rapid AI scaling with the rigorous scientific method. Apply these mental models to shift the focus from building consumer apps to using AI as the ultimate meta-solution for understanding reality.

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/mimeographs1292026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/mimeographs1292026年8月19日 更新

Use this skill to reason like JoAnn E. Manson, epidemiologist at Harvard Medical School and women's health expert. Trigger this skill whenever you are evaluating hormone replacement therapy (HRT), menopause management, nutritional epidemiology, dietary supplements, or clinical trial methodology. Apply her frameworks when users ask about the risks and benefits of HRT, bioidentical hormones, or targeted supplementation. Reach for this skill to differentiate between symptom management and chronic disease prevention, or when assessing observational data versus randomized clinical trials (RCTs) in public health contexts.

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/mimeographs1292026年8月19日 更新

Create and refine sales playbooks, deal strategies, MEDDPICC analyses, customer decks, and outreach sequences. Use for any sales methodology work, pipeline review, or go-to-market 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。

espennilsen/pi1222026年10月12日 更新

Read, create, and update notes in Espen's Obsidian vault (PARA method). Use when asked about notes, tasks, projects, dashboards, daily logs, or anything in the vault.

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/pi1222026年10月12日 更新

Use when reviewing Java or Kotlin server changes on Spring or Quarkus - security config and method security, JPA/JPQL and JdbcTemplate queries, request binding, deserialization, XML parsers, SpEL, templates, Actuator, JNDI and reflection

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。

makifbaysal/tasktrooper1172026年10月18日 更新

Use when starting any security review in code_review - risk-tier each changed file, read the repo's own security patterns, compare, then trace source to sink, including removed guards and blast radius

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。

makifbaysal/tasktrooper1172026年10月18日 更新

How the Strategist works with the user to turn their own trading idea into explicit rules, backtest it honestly on Hyperliquid candle and funding history, and paper-trade it on testnet through the desk lifecycle. Method only - the desk ships no strategies and makes no return claims. Use when the user wants to design, test, compare or paper-trade an idea.

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。

galleonlabs/hypergrok-trading-desk1172026年10月16日 更新

Transform research into Opportunity Solution Tree (Teresa Torres method). Map outcomes, opportunities, solutions, and 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。

itseffi/agentic-os1162026年10月7日 更新

Import structured data into Neo4j — LOAD CSV, CALL IN TRANSACTIONS, neo4j-admin database import full (offline bulk), apoc.load.csv/json, apoc.periodic.iterate, driver batch writes. Covers method selection, header file format, type coercion, null handling, ON ERROR modes, CONCURRENT TRANSACTIONS, pre-import constraint setup, and post-import validation. Use when importing CSV/JSON/Parquet files, migrating relational data to graph, or bulk-loading large datasets. Does NOT handle unstructured document/PDF/vector chunking pipelines — use neo4j-document-import-skill. Does NOT handle live app write patterns (MERGE/CREATE) — use neo4j-cypher-skill. Does NOT handle neo4j-admin backup/restore/config — use neo4j-cli-tools-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。

neo4j-contrib/neo4j-skills1162026年10月15日 更新

Generate unit, integration, E2E, and visual regression tests following the Testing Trophy methodology (80% integration). Covers Vitest/Jest, Testing Library, Playwright, MSW for API mocking, snapshot strategy, visual regression (Chromatic/Percy/Playwright), test factories with Faker, and CI sharding. Use when user asks to write tests, set up testing framework, mock API/dependencies, improve coverage, or add visual regression. Do NOT use for performance/load testing, production monitoring, or type testing (covered by TypeScript).

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/shokunin1132026年10月5日 更新

Guides and best practices for working with Neon Serverless Postgres. Covers getting started, local development with Neon, choosing a connection method, Neon features, authentication (@neondatabase/auth), PostgREST-style data API (@neondatabase/neon-js), Neon CLI, and Neon's Platform API/SDKs. Use for any Neon-related 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。

EliasOulkadi/shokunin1132026年10月5日 更新

Evaluate any agent skill against a merged framework — Anthropic's Claude Code best practices plus Matt Pocock's writing-great-skills methodology — across 4 axes (Trigger, Structure, Steering, Pruning). Produces an evidence-cited scorecard (0–100), a weighted overall score, and diagnosed failure modes with prioritized fixes. Use when the user asks to evaluate, rate, or audit a skill ("evaluate this skill", "skill scorecard", "review SKILL.md"), or to compare two skills.

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。

fabricioctelles/skills1102026年10月14日 更新

Generate tests in red or expand mode and run-and-heal new tests. Use when the user says "lets expand test coverage", "I want to automate tests", "lets write acceptance tests", or "I want to do ATDD"

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。

bmad-code-org/bmad-method-test-architecture-enterprise1072026年10月16日 更新

Audit NFR evidence for performance, security, reliability, and maintainability. Use when implementation evidence exists and the user says "audit NFR evidence", "audit NFRs", or "evaluate non-functional 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。

bmad-code-org/bmad-method-test-architecture-enterprise1072026年10月16日 更新

Teach testing progressively through structured sessions. Use when user says "lets learn testing" or "I want to study test 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。

bmad-code-org/bmad-method-test-architecture-enterprise1072026年10月16日 更新

Generate traceability matrix and quality gate decision. Use when the user says "lets create traceability matrix" or "I want to analyze test coverage"

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。

bmad-code-org/bmad-method-test-architecture-enterprise1072026年10月16日 更新

Initialize test framework and CI/CD setup for browser, backend or mobile stacks. Use when the user says "lets setup test framework" or "I want to initialize testing framework"

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。

bmad-code-org/bmad-method-test-architecture-enterprise1072026年10月16日 更新

Run scored behavioral evaluations and repair gaps. Use when the user says "evaluate this agent" or "I want proof this behaves correctly"

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。

bmad-code-org/bmad-method-test-architecture-enterprise1072026年10月16日 更新