「pitfalls」の検索結果

Pre-implementation gate covering think-first, simplicity, surgical edits, and verifiable goals. Use when starting implementation to verify the approach.

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Expert guidance for writing secure, reliable, and performant Claude Code hooks - validates design decisions, enforces best practices, and prevents common pitfalls. Use when creating, reviewing, or debugging Claude Code hooks.

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Think and work like an expert Microbiologist. Use when a task calls for Microbiologist judgment. Reasons from culturability limits, CFU/MPN enumeration, selective media, DADA2/QIIME2 16S ASVs (SILVA/GTDB), and shotgun metagenomics (Kraken2, MetaPhlAn, HUMAnN); treats plate-count anomaly, compositional stats pitfalls, kit contamination, and index hopping as first-class failure modes.

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Patterns for building robust, reproducible genomics analysis pipelines. Covers workflow managers, NGS data processing, variant calling, RNA-seq, and common bioinformatics pitfalls. Use when ", " mentioned.

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A/B and multivariate testing methodology. Design experiments, calculate sample sizes, determine statistical significance, avoid common pitfalls, and interpret results. Platform-agnostic framework applicable to landing pages, emails, ads, pricing, and product features. Use when the user asks about A/B testing, split testing, experiment design, statistical significance, or conversion experiments.

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Use when reviewing Go changes - net/http and Fiber handlers, database/sql and GORM queries, os/exec, filepath and os.Root, html/template, crypto, TLS and SSH clients, JSON binding

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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

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Use when reviewing Node.js or TypeScript server code - Express/Fastify/Nest handlers, Next.js server actions and route handlers, child_process, ORM raw queries, prototype pollution, template engines, JWT and outbound HTTP clients

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Use when reviewing Python changes - Django, Flask and FastAPI handlers, subprocess, SQL, Jinja2, format strings, and data/ML code that loads pickles, models, notebooks or remote model code

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Use when reviewing game code in C#, GDScript or C++ (Unity, Godot, Unreal, custom engines) - client vs server authority, RPC and packet validation, in-app purchases and economy, save and replay files, mod and script loading, secrets in client builds

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Use when you are about to hand off any number, table, chart or analysis someone will act on (a metric query, a dbt mart, a report, an experiment readout) — the pre-delivery checklist for data quality, calculation, reasonableness and presentation, and the pitfalls that produce plausible wrong numbers

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Set up, adopt, refresh, or audit a repository's agent instructions (the AGENTS.md block) so AI agents work well in that repo. Also records observed agent mistakes as pitfalls. Use when invoked by name

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Index and router for plugin-specific Craft CMS 5 guidance — configuration, Twig API, PHP API, migrations, deployment, and pitfalls for the plugins this pack documents. Load whenever a task names a plugin this pack documents, and for passwordless or magic-link auth with no plugin named; read references/<plugin>.md first.

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Twig coding standards and conventions for Craft CMS 5 templates. ALWAYS load this skill when writing, editing, or reviewing any .twig file in a Craft CMS project — even for small edits. Covers: variable naming (camelCase, no abbreviations), null handling (?? operator, ??? with empty-coalesce plugin), whitespace control ({%- trimming, NOT {%- minify -%}), include isolation (always use 'only'), Craft Twig helpers ({% tag %}, tag(), attr(), |attr filter, |parseAttr, |append, svg()), collect() for props and class collections, .implode(), comment headers with ========= separators on component files, and common pitfalls (snake_case, macros as components, hardcoded colors).

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Reviews serde serialization code for derive patterns, enum representations, custom implementations, and common serialization bugs. Use when reviewing Rust code that uses serde, serde_json, toml, or any serde-based serialization format. Covers attribute macros, field renaming, and format-specific pitfalls.

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Avoid common mistakes and debug issues in PydanticAI agents. Use when encountering errors, unexpected behavior, or when reviewing agent implementations.

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Use when reviewing Spring Boot 4 / Java 17+ code with concrete files or diffs — pull requests, modules, or pasted Java/Spring sources — for migration risks, architecture boundary leaks, JSpecify null-safety gaps, security flaws, performance regressions, or Spring Data pitfalls. Not for Kotlin-only code, non-Spring frameworks, or generic review advice without code context.

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Calculus, series, numerical methods, and optimization for computational mathematics. Covers limits (epsilon-delta, L'Hopital, squeeze theorem), derivatives (rules, optimization, related rates), integrals (Riemann sums, Fundamental Theorem of Calculus, integration techniques), series (convergence tests, Taylor and Maclaurin expansions), differential equations (separable, linear, exact), numerical methods (Newton-Raphson, Euler method, Simpson's rule), and computational pitfalls (floating-point arithmetic, catastrophic cancellation, numerical stability). Use when computing derivatives, integrals, limits, series, solving differential equations, or analyzing numerical accuracy.

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Measurement techniques for identifying composition, microstructure, and properties of engineering materials — optical and electron microscopy, x-ray diffraction, EDS and WDS spectroscopy, thermal analysis, mechanical testing, and fractography. Covers when to use which technique, sample-preparation pitfalls, and how to build a characterization plan that answers a specific engineering question rather than accumulating data for its own sake.

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The logic of sentential connectives -- and, or, not, if-then, if-and-only-if -- as a formal system. Covers syntax (well-formed formulas), semantics (truth tables), satisfiability, validity, logical equivalence, normal forms (CNF, DNF), natural-deduction rules, and common translation pitfalls. Use when formalizing arguments with propositional structure, checking validity mechanically, or teaching the foundations of formal reasoning.

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Bench instruments and measurement techniques for electronics — digital multimeter, oscilloscope, logic analyzer, spectrum analyzer, function generator, power supply, and their proper use. Covers probing technique, ground loops, loading effects, trigger modes, FFT mode pitfalls, signal integrity, noise budget analysis, and debugging workflows from "it doesn't work" to "here is the failure mechanism." Use when measuring, debugging, or characterizing any electronic circuit or firmware-hardware interaction.

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Identity, authentication, authorization, and token management for cloud platforms. Covers Keystone-style scoped tokens, OAuth 2.0 flows, OpenID Connect, JWT structure and pitfalls, federation with SAML/OIDC, service-to-service auth with mTLS and SPIFFE, principle of least privilege, IAM role design, and the service catalog pattern (public/internal/admin endpoints). Use when designing authn/authz for a multi-tenant cloud service, integrating with an identity provider, or reviewing IAM policies for over-privilege.

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账号被限流/异常/担心操作触发风控/需要恢复时用：先自检from:@用户名搜不到即限流→区分临时标签(等24h不动账号)与正式标签(写申诉邮件+48h不操作)→复盘触发原因预防复发。Trigger："推文搜不到了""被限流了""账号异常""触发风控""临时标签""怎么申诉""shadowbanned""account suspended""appeal suspension""tweets not showing up"。不适用：正常发内容没出问题(→内容创作skill)、新号开业装修养号(→x-account-setup)、没粉丝怎么起量(→x-cold-start-playbook)。

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。

新号注册或老号解冻后做开业准备时用：装修Profile四要素（头像真人/昵称关键词+身份/简介价值承诺/背景图）→开蓝V(Premium)→养号3天只浏览→再发内容。Trigger："新号第一天""要不要开蓝V""怎么装修主页/头像/昵称/简介""新号怎么养号""day 1 new account""should I get Premium""set up profile""warm up account"。不适用：已运营账号日常发内容/没粉丝(→x-cold-start-playbook)、被限流封号后排查(→x-account-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。