792 件 ・ 関連度順
概要と使いどころ
Prompt engineering frameworks for building, testing, versioning, and evaluating prompts: chain-of-thought, few-shot, regression testing, and rubrics. Use when designing production prompts, running A/B tests, or building prompt libraries.
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。
Generate API test suites from route definitions across frameworks: auth, input validation, contract, k6 load testing, mocking, and OpenAPI-driven generation. Use when adding new APIs, auditing test coverage, or building regression suites.
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。
Terraform provider acceptance test patterns using terraform-plugin-testing with the Plugin Framework. Covers test structure, TestCase/TestStep fields, ConfigStateChecks with custom statecheck.StateCheck implementations, plan checks, CompareValue for cross-step assertions, config helpers, import testing with ImportStateKind, sweepers, and scenario patterns (basic, update, disappears, validation, regression), and ephemeral resource testing with the echoprovider package. Use when writing, reviewing, or debugging provider acceptance tests, including questions about statecheck, plancheck, TestCheckFunc, CheckDestroy, ExpectError, import state verification, ephemeral resources, or how to structure test files.
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。
Report content quality trends from logged evals, with regression alerts. "is our content quality improving"
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。
Implements a variety of methods for batch correction of single-cell (RNA sequencing) data. This includes methods based on detecting mutually nearest neighbors, as well as several efficient variants of linear regression of the log-expression
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。
A package for demultiplexing single-cell sequencing experiments of pooled cells labeled with barcode oligonucleotides. The package implements methods to fit regression mixture models for a probabilistic classification of cells, including multiplet detection. Demultiplexing error rates can be estimated, and methods for quality control are provided.
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。
Daily on-page and technical SEO audit of every page on a site - discovers URLs from the sitemap, scores each page, adds cross-page checks (duplicate titles, canonicals, sitemap gaps), diffs against yesterday, and sends the score line plus any regressions
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。
Find the exact commit that introduced a bug. Use when something worked before and broke, and you don't know which change did it.
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。
Review local code changes for bugs, regressions, missing tests, and pragmatic improvements. Use when the user asks to review the current changes from `git status`, or to review a specific backlog task by id such as `task-65` or `TASK-65`. Also trigger when the user says things like "review", "review current changes", "check my changes", "look over the diff", or "review task-42".
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 writing E2E/integration tests, testing native interactions like permissions or system dialogs, capturing UI regressions, or validating cross-platform behavior (Patrol 4.x).
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。
Bug fix workflow: root cause analysis → user review → regression test + fix via TDD
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。
Diagnose hard bugs and performance regressions with reproducible evidence, focused hypotheses, and proportional instrumentation. Use when something is broken, failing, throwing, intermittently wrong, or unexpectedly slow.
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。
Reviews a completed change for acceptance, regressions and release risk; read-only, not a whole-codebase audit.
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。
Upgrades dependencies in reversible batches with version-specific compatibility and regression checks.
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。
Strict quality-first TDD specialist. Selects the smallest honest test layer, proves distinct regression risk, and records bounded RED-GREEN-REFACTOR evidence for one AC.
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。
Test Python services with pytest, async coverage, monkeypatch, and boundary-focused fakes. Use when writing Python tests, fixtures, async tests, regression tests, or dependency-isolated verification.
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。
Guides quality-first TDD for new behavior, bug fixes, and test changes. Selects the smallest test layer, proves a distinct regression risk, and runs bounded RED-GREEN-REFACTOR verification.
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。
Performs security-focused differential review of code changes (PRs, commits, diffs). Adapts analysis depth to codebase size, uses git history for context, calculates blast radius, checks test coverage, and generates comprehensive markdown reports. Automatically detects and prevents security regressions.
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。
Design system token management, component API design, Storybook, and visual regression testing patterns
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。
Framework for measuring and tracking agent response quality over time. Detects regressions before they reach production. Use when evaluating agent changes, auditing quality, or establishing performance baselines.
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。
When validating system performance under load, identifying bottlenecks through profiling, or optimizing application responsiveness. Covers load testing (k6, Locust), profiling (CPU, memory, I/O), and optimization strategies (caching, query optimization, Core Web Vitals). Use for capacity planning, regression detection, and establishing performance SLOs.
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。
Precision-first adversarial bug hunting for runtime, logic, data, concurrency, and security defects. Uses deterministic risk triage, evidence-bounded retrieval, Hunter/Skeptic/Referee review, optional hybrid verification, and explicit immutable Fixer scope. Scan-only and single-pass by default; complete-coverage loops, edits, autonomous fixes, and commits each require explicit intent. Use for code review, security audits, regression hunting, PR review, and evidence-backed remediation planning in skills-capable coding agents.
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/regression checks for the evidence-first survey pipeline: citation health, per-section coverage, placeholder leakage, and template repetition.
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。
Regression-check citation anchoring (citations stay in the same subsection) to prevent “polish drift” that breaks claim→evidence alignment.
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。