「db」の検索結果

Conduct high-quality, persona-driven code reviews. Use when reviewing PRs, critiquing code quality, or analyzing changes for team feedback.

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。

Helps a teacher prepare to teach an existing K-12 lesson (math / ELA / science / social studies) — a prep partner that thinks through the lesson's key student task with the teacher and leaves a short teacher-only prep note. Triggers on asks to internalize, prepare for, get ready to teach, or understand a lesson, including implicit ones ("help me get ready for tomorrow's lesson"), and right after another skill built a lesson, which it can follow. Not for building or adapting a lesson, grading, rubrics, assessment feedback, or generating quizzes or student-facing material, and not for single-fact lookups a sentence would answer ("what standard is this?", "how long is this lesson?").

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。

Adapts an existing K-12 lesson (math, ELA, science, or social studies) for students at different proficiency levels (below / at / above grade level). Load this skill BEFORE asking the teacher any clarifying question about the lesson, tiers, or student levels. Triggers on explicit asks to differentiate, tier, or scaffold a lesson, and on implicit signals like "my students are at different levels". Produces 1 teacher-facing differentiation plan + 3 student-ready tier documents as editable, printable documents in a single output turn (shared content is written once, so tiers cannot drift). Uses the Learning Commons Knowledge Graph when connected; works without it. This skill adapts a lesson the teacher brings or names. Not for creating a new lesson from scratch — a new-lesson request that asks for differentiated or leveled materials is k12-lesson-plan-creation's job, one package. Not for grading, rubrics, assessment feedback, or quizzes.

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。

Creates a lesson plan, student-facing materials, and observation template. Load this skill BEFORE asking the teacher any clarifying question about grade, subject, topic, standard, or timing. Use when a K-12 teacher needs a math, ELA, science, or social studies lesson built from scratch — even if grade, subject, or topic isn't yet stated. Do NOT load for grading, a rubric, assessment feedback, a quiz, or a standards lookup — answer those directly. Triggers on explicit requests (lesson plan, mini-lesson, unit plan, daily plan) and implicit teacher intent: "I'm teaching long division to 5th graders," "need to teach photosynthesis tomorrow." Core signal: teacher needs new instructional content created. A new lesson that asks for differentiated, tiered, or leveled materials is still ONE planning request — this skill produces those materials inside the lesson package; do not also invoke k12-lesson-differentiation. Not for differentiating an existing lesson (use k12-lesson-differentiation) or passage rewrites.

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 or repair Elixir tests with ExUnit, sandbox isolation, async; Use for test files, test setup, or failing/flaky…

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。

Address feedback left on a GitHub pull request: fetch unresolved; Use for a PR URL/number or reviewer comments.…

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 or repair Elixir tests with ExUnit, sandbox isolation, async reliability, Mox, ExMachina, and LiveViewTest. Use for test files, test setup, or failing/flaky tests. NOT for investigating an application bug outside the test suite.

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。

Address feedback left on a GitHub pull request: fetch unresolved review threads, make agreed Elixir/Phoenix code fixes, reply, and resolve. Use for a PR URL/number or reviewer comments. NOT for pre-PR review, findings triage, or CI monitoring.

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。

Address feedback left on a GitHub pull request: fetch unresolved review threads, make agreed Elixir/Phoenix code fixes, reply, and resolve. Use for a PR URL/number or reviewer comments. NOT for pre-PR review, findings triage, or CI monitoring.

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。

Iterative skill tuning via execute-evaluate-improve feedback loop. Uses maestro delegate Claude to execute skill, Agy to evaluate quality, and Agent to apply improvements. Iterates until quality threshold or max iterations. Triggers on "skill iter tune", "iterative skill tuning", "tune 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。

Systematic academic paper review workflow covering self-review before submission and rebuttal writing after receiving reviewer feedback. Triggers on "review paper", "self-review", "write rebuttal", "respond to reviewers", "analyze review comments", "paper review".

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。

Create animated, explorable editorial diagrams in 45 types (architecture, flowchart, sequence, state, ER, DB schema, UML class, swimlane, timeline, gantt, journey, tree, org chart, nested, venn, quadrant, fishbone, wardley, bar, line, scatter, sankey, treemap, heatmap, 3D isometric objects, floor plans and exploded views) as standalone HTML from a short JSON spec. Use when the user asks to draw, diagram, chart or visualize a system, codebase, flow, process, API call sequence, hierarchy, data or a physical object (a chair); to convert Mermaid, Graphviz/DOT, PlantUML, D2, draw.io, Excalidraw, SQL or CSV into a clean diagram; or to export a diagram as PNG, JPEG, SVG, GIF or MP4. Also for everyday plans: trips, moves, job hunts, approvals, budgets, where money goes.

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。

Address PR review feedback by systematically working through every unresolved PR review thread on the current branch's PR - analyze each comment, make the requested code changes (with tests where useful), commit, and optionally reply and resolve.

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。

Rigorously review code or pull requests for correctness, security, accessibility, maintainability, tests, and edge cases. Use when users request a critical code review, want a guided walkthrough of findings, need implementer-facing feedback, or want to prepare, create, or submit a GitHub pull request review.

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 R packages for CRAN submission by checking for common ad-hoc requirements not caught by devtools::check(). Use when: (1) Preparing a package for first CRAN release, (2) Preparing a package update for CRAN resubmission, (3) Reviewing a package to ensure CRAN compliance, (4) Responding to CRAN reviewer feedback. Covers documentation requirements, DESCRIPTION field standards, URL validation, examples, and administrative 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。

本skill是用于单细胞样本性别判定的专用技能，首先需要用户上传需要处理的单细胞样本数据，再判定未标注性别的样本，或纠正标注错误的性别信息，生成最后的修正文件。

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。

用于单细胞测序数据预处理的专用技能，对单细胞表达矩阵进行标准化处理，以消除技术偏差，为聚类、差异表达分析提供可靠的数据基础。

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。

用于检索化学物质详细信息的技能。当用户希望检索化学物质详细信息、查看化学物质详细信息、检索化学物质基础数据库等情况时触发。该技能通过输入化学分子式（必要参数）以及分页（可选参数）、分页大小（可选参数）调用外部化学物质基础数据库搜索服务，并按字段含义格式化展示查询结果以及SVG化学分子式结构。

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。

本skill是用于单细胞测序数据分析的专用技能，首先需要用户上传需要处理的单细胞测序数据，再对经过预处理的单细胞表达数据进行自动化细胞类型注释。它通过基因比对、数据标准化、降维等一系列流程，将细胞聚类结果与已知参考数据库进行匹配，从而为每个细胞分配生物学功能标签。

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。

根据多维度筛选条件检索单细胞测序相关的预训练数据集，支持分页查询，返回符合条件的数据集详情，并格式化展示查询结果。

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。

Audit GitHub Actions that run AI agents for prompt injection, unsafe interpolation, sandbox gaps, and permissive actor rules. Use for agentic CI workflows, not general application code review.

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。

Mines a pull request's review threads for lessons that generalize beyond that PR, reconstructs each against the actual code before deciding, checks whether it is already codified, and routes the genuinely-new, durable ones into Infrahub's internal documentation — `dev/knowledge/`, `dev/guides/`, `dev/guidelines/`, the `AGENTS.md` files, and `.agents/rules/` — proposing edits first and applying only with the user's approval. TRIGGER when: the user wants to turn PR review feedback into durable conventions, guidelines, or rules; capture recurring reviewer comments as internal documentation; or check whether review lessons are reflected in the knowledge/guides/guidelines/AGENTS.md/rules layer. DO NOT TRIGGER when: sweeping a feature's changes for documentation coverage across all layers → use `audit-docs`; extracting knowledge from completed spec directories → `speckit-opsmill-extract`; only replying to or resolving review threads → normal git/gh flow.

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。

oh-my-design 사용 중 불만·결함·아쉬운 점을 구조화된 GitHub 이슈로 접수하고, 쌓인 이슈를 배치로 처리한다. 사용자 모드('이슈 등록해줘', '이거 불편한데 신고할래', '버그 리포트', 'file an issue', '기능 요청')와 내부 도그푸딩 모드(스킬을 돌리다 미흡한 부분을 발견한 오케스트레이터·서브에이전트가 직접 접수) 둘 다 지원. '이슈 처리해줘', 'process feedback', '쌓인 피드백 정리'는 배치 처리 verb로 트리거.

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。

Embedding strategies, ANN algorithms, hybrid search, RAG chunking strategies, and reranking for semantic search and retrieval.

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。