Validate, lint, audit, or check Makefiles and .mk files for errors.
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。
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概要と使いどころ
Validate, lint, audit, or check Makefiles and .mk files for errors.
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。
Validate, lint, audit, or debug Ansible playbooks, roles, inventories, FQCN, tasks.
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。
Validate, lint, audit, or dry-run Kubernetes manifests (Deployment, Service, ConfigMap, CRD).
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。
Validate, lint, audit, or check Terragrunt .hcl/terragrunt.hcl files, stacks, modules, compliance.
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。
Validate, lint, audit, or check Fluent Bit configs (INPUT, FILTER, OUTPUT, tag routing).
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。
Validate, lint, audit, or fix bash/shell/.sh scripts via ShellCheck.
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。
Validate, lint, audit, fix GitHub Actions workflows (.github/workflows).
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 the local environment for the Maestro smoke-test suite — verify tooling, select a device, collect the APK if needed, validate the .env file by variable name only, then hand the user the exact lab-store CLI command to run or run it on request.
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。
把已验证的传播机制转成适合目标账号的内容选题,并完成生成、迁移、评分和筛选,让选题自然连接人设、产品或门店。用户要从低粉爆款、垂直样本、邻近受众或跨赛道内容中寻找新选题时使用。 English: Turn validated content mechanisms into topics that fit the target account, then generate, adapt, score, and filter them while connecting naturally to the persona, product, or store. Use to find ideas from low-follower breakouts, niche examples, adjacent audiences, or other categories.
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。
Evaluates anonymization as a retention alternative under GDPR Recital 26, applying the WP29 Opinion 05/2014 techniques including randomization and generalization. Validates anonymization effectiveness using k-anonymity, l-diversity, and t-closeness metrics. Activate for anonymization, de-identification, k-anonymity, retention alternative queries.
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 an application issues and validates its own first-party JWT access and refresh tokens, including authentication filters, password encoding, RBAC, and method security. For JWTs issued by Keycloak, Auth0, Okta, Cognito, or another authorization server, use oauth2-resource-server.
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。
Validates whether an API request is correct based on provided inputs (method, URL, headers, body, auth, query params).
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, edit, validate, and run Agent QA tests, suites, and hooks through MCP or CLI while preserving canonical IDs and schema contracts.
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。
Preserve the coding agent's explicit AAS skill selection as a validated stack and optional evidence.
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。
This skill should be used when the user asks to "validate", "reindex", "repair registries", "check links", "run the continuity, pacing, clue, voice, or name checks", "count words", "summarize a story project", "import an existing manuscript", "export a manuscript", "run a build", "generate a diagram", "record revision-pass status with `story passes`", "run the story CLI", or wants deterministic maintenance on a Story Skills markdown project. It runs the CLI and reads its output; NOT for judging a finding or revising the story to fix it (use revision-continuity for continuity errors and revision passes, plot-structure for pacing, voice-style for voices and prose, genre-craft for clues and fair play), or for sharing a review copy with readers (use feedback-triage).
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 an approved spec. Validates that the state means "Approved" (in any language), creates a git branch named after the spec, switches to it, and starts the implementation step by step with pauses to review diffs.
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。
Owns platform splits for Compose Multiplatform apps: places declarations in commonMain, chooses expect/actual vs interface plus DI, wires host adapters and ports, and validates iOS/Swift interop, desktop and web targets, and platform lifecycle. Use when touching commonMain, expect, actual, iosMain, Swift, SKIE, Flow to Swift, desktop, wasm, web target, or platform-specific code. Do NOT use for routing or architecture (compose-architecture), feature slices (compose-feature), composables or resources (compose-ui), repositories or persistence (compose-data), or Gradle target setup (compose-project).
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。
Validates and optimizes Blender assets for polycount, topology, UV efficiency, material count, naming, collections, and game-ready performance. Use before export on all production assets via MCP.
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。
Sharpens and stress-tests an existing plan file through multiple codebase-grounded review passes, editing it in place and recording every finding and iteration in cross-referenced companion files. Use this skill whenever the user wants to iterate on, refine, tighten, or improve a plan. Also use it when the user asks to verify, validate, or confirm feasibility of an approach. Does not implement plan steps, write test plans, review code, or investigate bugs, and does not generate new plans from scratch — use plan-a-feature for a new plan. Runs its review rounds to completion without pausing between them; to review each round as it lands, use pairing.
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。
Researches an open-ended question — options, possible solutions, prior art, trade-offs, or how something works — and produces a durable, evidence-backed, adversarially-validated report that recommends an option without committing the team to any artifact. Use when you want to research approaches, weigh options, survey prior art or the state of the art, or understand how something works before committing to a direction. Does not diagnose a bug, failure, or root cause — use investigate. Does not specify a feature — use plan-a-feature. Does not create or update a coding standard — use coding-standard. Does not compare two concrete artifacts for gaps — use gap-analysis. Does not assess an existing module's architecture — use architectural-analysis. Does not capture feedback on Han's own skills — use han-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。
Verifies factual claims in documents using web search and official sources, then proposes corrections with user confirmation. Use when the user asks to fact-check, verify information, validate claims, check accuracy, or update outdated information in documents. Supports AI model specs, technical documentation, statistics, and general factual statements.
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。
Author, package, validate, or run mathematical evaluations as Jacobian Harbor datasets.
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。
Build DSPy 3.2.x programs through spec, program, metric and baseline; extend to optimization and export when requested and justified by task budget. Orchestrates the other four DSPy skills (dspy-fundamentals, dspy-evaluation-harness, dspy-gepa-optimizer, dspy-rlm-module) in the correct order. Use for greenfield DSPy builds; prototypes may stop at a validated baseline.
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 web applications end-to-end by simulating user interactions and verifying expected outcomes. Trigger when the user asks to: test a web app, verify a user flow, run end-to-end tests, QA a feature, check that a page works correctly, validate user journeys, or test a deployment.
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。