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概要と使いどころ
Guia completo para usar Claude Code de forma eficaz. Inclui templates de configuração, estratégias de prompting com keywords "Thinking", técnicas de debugging e melhores práticas para interagir com o agente.
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。
Cite-or-Block 架构的基石原子 skill。把报告里的 citation 锚点 (例如 [guideline:CSCO-2024-NSCLC:§5.5.2] / [pmid:12345678:abstract]) 解析为源文件片段,并核对事实声明里的关键词是否在引用源原文里出现。 Foundation atomic skill for the Cite-or-Block architecture. Resolves citation anchors (e.g. [guideline:CSCO-2024-NSCLC:§5.5.2] / [pmid:12345678:abstract]) to raw source text fragments, and verifies whether claim keywords actually appear in the cited source. 使用场景 / Use when: 1. 报告生成后要做 fact-check (resolve_citation + verify_claim_against_source) 2. content-verification-layer 要扫全报告锚点 (parse_citations_in_text) 3. drug-citation-verifier / 任何 cross-check skill 需要"锚点 → 源原文" P0 守护:本 skill **绝不维护任何已知字典**。源里没有 = verified=False, 无例外、无 fallback、无"已知答案兜底"。 P0 guard: this skill **never maintains any built-in dictionary**. Not in source = verified=False. No fallback, no built-in answers.
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。
Idiomatic programming style, patterns, and conventions for Python development. Trigger when: - Writing, refactoring, reviewing, or debugging Python code. - Files matching the pattern **/*.py (including requirements.txt, pyproject.toml, setup.py) are in the workspace or referenced. - Tasks involve: python, pytest, pip, uv, virtualenv, flake8, black, mypy. - Prompt contains keywords: python, py, pep8, typing, list comprehension, decorator, generator, asyncio, yield, poetry.
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。
Rules, conventions, and constraints for formatting git commit messages and committing at logical boundaries. Trigger when: - Drafting, revising, or validating git commit messages. - Pausing at commit boundaries under the CORE or CONTINUE workflows. - Evaluating whether a changeset should be split into multiple commits. - Prompt contains keywords: commit message, git commit, conventional commits, commit hygiene, commit guidelines, logical boundary, spaghetti diff, atomic commit, commit boundary.
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。
Core technical, safety, and maintainability rules for codebase edits. Trigger when: - Writing code, refactoring, modifying files, or creating unit tests. - Proposing commits, reviewing git history, or auditing code quality. - Modifying files in any programming language (e.g. *.go, *.rs, *.py, *.ts, *.js, *.c, *.cpp). - Prompt contains keywords: refactor, build, compile, lint, test, git, commit, rule priority, type safety, error handling, defensive programming.
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。
Writing quality guidelines, formatting conventions, and styling constraints for documentation. Trigger when: - Writing, editing, or auditing documentation files, READMEs, markdown files, or guides. - Modifying files with suffixes like: *.md, *.qmd, *.txt, *.rst. - Prompt contains keywords: doc, documentation, spelling, grammar, headers, links, table alignment, Divio, tone, voice, clarity.
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。
Idiomatic programming style, patterns, and conventions for TypeScript and JavaScript development. Trigger when: - Writing, refactoring, reviewing, or debugging TypeScript or JavaScript code. - Files matching the patterns **/*.ts, **/*.tsx, **/*.js, **/*.jsx, package.json are in the workspace or referenced. - Tasks involve: tsc, npm, yarn, pnpm, bun, eslint, prettier, vite, next.js. - Prompt contains keywords: typescript, ts, js, javascript, interface, type, async, await, promise, es6, node, deno.
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。
Idiomatic programming style, patterns, and conventions for Rust development. Trigger when: - Writing, refactoring, reviewing, or debugging Rust code. - Files matching the pattern **/*.rs (including Cargo.toml, Cargo.lock) are in the workspace or referenced. - Tasks involve: cargo build, cargo clippy, cargo test, cargo check, rustc. - Prompt contains keywords: rust, cargo, clippy, borrow checker, lifetime, struct, enum, impl, Option, Result, match, unwrap, unsafe.
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。
Structured Domain Modeling Architecture (SDMA) principles. Trigger when: - Designing domain models, building ologs (ontological graphs), verifying protocol equivalence, selecting schemas, or measuring architectural entropy. - Modeling structures using Category Theory, Coalgebra, or Information Theory. - Prompt contains keywords: sdma, olog, Category Theory, Coalgebra, Information Theory, entropy, schema, pullback, functor, monad.
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。
Mathematical foundations, logical structures, and formal verification guidance. Trigger when: - Designing protocol contracts, formal specifications, verifying state spaces, or using proof assistants. - Tasks involve: TLA+, Alloy, Lean, Coq, model checkers, invariants, temporal logic. - Prompt contains keywords: formal verification, alloy, tla+, lean, coq, invariant, state machine, model checker, liveness, 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。
Maintain and update the persistent project chronicle (docs/chronicle.md). Trigger when: - The human requests a history summary or chronicle update. - Starting work on a new codebase and needing context on its evolution. - Prompt contains keywords: /chronicle, chronicle, project history, git log summary, history summary.
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。
Formatting, structure, and execution rules for Quarto markdown documents. Trigger when: - Writing, editing, or rendering Quarto documents, reports, presentations, or websites. - Files matching the pattern **/*.qmd are in the workspace or referenced. - Tasks involve: quarto render, quarto preview, knitr, jupyter. - Prompt contains keywords: quarto, qmd, yaml header, code chunk, callout, cross-reference.
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。
Idiomatic programming style, patterns, and conventions for Go (Golang) development. Trigger when: - Writing, refactoring, reviewing, or debugging Go code. - Files matching the pattern **/*.go (including go.mod, go.sum) are in the workspace or referenced. - Tasks involve: go fmt, go test, go build, go vet, golangci-lint. - Prompt contains keywords: go, golang, goroutine, channel, select, interface, err != nil, defer, panic, gofmt, struct.
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。
Deploy cloud-native deception across AWS, Azure, and GCP using decoy (honey) resources whose only purpose is to generate a high-fidelity alert the instant an attacker touches them: canary IAM access keys, permission-less decoy users/roles/service principals, honey object-storage buckets, and decoy secrets in Secrets Manager / Key Vault / Secret Manager. Wires detection through CloudTrail + EventBridge, Azure Sentinel honeytoken watchlists + Defender, and GCP Cloud Audit Logs, so any use of a decoy is routed to the SOC with near-zero false positives. Use when protecting cloud accounts and data stores, when an org has only on-prem honeypots and needs cloud coverage, when seeding fake AWS keys to catch credential theft and code-leak exposure, or when detecting cloud reconnaissance and lateral movement. Keywords: cloud deception, canary token AWS, honey S3 bucket, decoy IAM credentials, CloudTrail alert, GuardDuty, Sentinel honeytoken, decoy secret, honey service account, cloud honeypot, breach detection.
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, run, and measure an adversary engagement operation using the MITRE Engage framework so that deployed deception is driven by strategy instead of deployed ad hoc. Covers the Engage Matrix (Prepare, Expose, Affect, Elicit, Understand), the 10-Step Operational Process, mapping engagement Activities to the ATT&CK techniques they expose, and defining measurable Goals and Operational Objectives. Use when a team has honeypots, honeytokens, or canary tokens but no coordinating strategy, when leadership asks "should we engage attackers and how", when building a deception/denial program, when writing an adversary engagement operation plan, or when deciding which deception Activities to deploy against a specific threat actor. Keywords: MITRE Engage, adversary engagement, cyber deception strategy, denial and deception, Engage Matrix, EAC, EGO, Expose Affect Elicit, deception program, honeypot strategy, engagement operation.
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。
Conduct a defensible cybersecurity risk assessment using the NIST SP 800-30 Rev 1 methodology: prepare scope and a risk model, identify threat sources and threat events, identify vulnerabilities and predisposing conditions, determine likelihood and impact, compute risk, and communicate results as a prioritized risk register. Use when an organization needs an actual risk *assessment* (not a maturity score), when a control framework (CSF, ISO 27001, RMF, SOC 2, PCI) requires a documented risk analysis as input, when leadership asks "what are our top risks and how bad are they", when assessing risk for a new system or major change, or when building a risk register from scratch. This is the methodology that feeds framework selection, ATO packages, and treatment decisions. Keywords: risk assessment, NIST 800-30, threat modeling, likelihood and impact, risk register, risk analysis, threat sources, vulnerabilities, risk determination, qualitative risk, risk matrix, residual risk, risk treatment.
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。
Prepare a defense-contractor environment for CMMC Level 2 certification: scope CUI and FCI, implement the 110 NIST SP 800-171 Rev 2 security requirements across 14 families, compute the SPRS score with the DoD Assessment Methodology, manage a compliant POA&M, and ready the organization for a C3PAO assessment. Use when an organization handles Controlled Unclassified Information (CUI) under a DoD contract, when a contract carries DFARS clause 252.204-7012/7019/7020/7021, when preparing for or responding to a CMMC assessment, when computing or improving an SPRS score, when building a System Security Plan or POA&M for 800-171, or when scoping which systems are in the CUI boundary. Keywords: CMMC, CMMC Level 2, NIST 800-171, SP 800-171 Rev 2, CUI, FCI, SPRS, DFARS 7012, C3PAO, POA&M, System Security Plan, DoD Assessment Methodology, 110 controls, defense industrial base, DIB, FedRAMP equivalency.
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。
Use when the user wants to design, preview, or customize an Obsidian vault theme — including choosing styles, comparing color schemes, adjusting typography, or generating CSS snippets. Triggers on keywords like "Obsidian theme", "color scheme", "CSS snippet", "appearance".
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。
Automatically translate and sync App Store metadata (description, keywords, what's new, subtitle) to multiple languages using LLM translation and asc CLI. Use when asked to localize an app's App Store listing, translate app descriptions, or add new languages to App Store Connect.
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。
Sync, validate, and apply App Store metadata with the current asc canonical metadata workflow. Use when updating metadata, localizations, keywords, or migrating legacy fastlane metadata.
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。
Drafts one knowledge article or known-error article from a resolved incident or ticket thread: symptoms as reported, environment, cause exactly as the resolver stated it, resolution steps as performed, workaround with its limits, verification, things tried without effect, related records, keywords and proposed metadata, every statement traced to a ticket note or marked UNKNOWN, with a redaction log and a question list for the knowledge owner. Never decides a root cause, adds a step or publishes. Use when the user asks to "write a KB article from this ticket", "turn this resolved incident into a knowledge article", "draft a known error record for this", "document the fix we just did" or "make this thread into a how-to for the service desk". Do not use for a procedure the team will execute (runbook, operating procedure, playbook), use runbook-drafter instead; for a post-incident review, use incident-postmortem-drafter. Drafts for human review; never approves, authorises or signs off.
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。
Reads existing brand DNA, keywords.csv, and prompts.csv, then produces a plan.csv — a strictly-schema'd content architecture telling the next pipeline step which pages to create, for which keyword/prompt clusters, and in what build order.
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。
Automate SEO research with Ahrefs -- analyze backlink profiles, research keywords, track domain metrics history, audit organic rankings, and perform batch URL analysis through the Composio Ahrefs inte
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。
Use when the user asks to "script this short video", "write a TikTok / Reels / Shorts script", "给这条抖音或视频号视频写脚本", or "fix the hook — viewers drop off in the first seconds"; produces timestamped beat-sheet scripts on the retention-gate model (0-2s hook / 2-5s confirmation / 5-15s payoff / loop-or-CTA) with per-scene script lines, on-screen text for muted viewing, asset keywords, and 9:16 format-param rows per platform norm card for TikTok, Reels, Shorts, 抖音, and 视频号 — plus 2-3 hook options from named hook families and an AI-content disclosure line by default on realistic synthetic media. Spec-only: rendering, TTS, and publishing stay with the user's own tools — no pipelines, no upload automation. Not for creator video briefs — use brief-generator; long-form video SEO belongs to content-writer. 短视频脚本/抖音分镜/开头钩子/竖屏9:16
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。