「strict」の検索結果

Reviews one SKILL.md against the format rules and returns a findings table: strict YAML front matter with exactly name and description, name equal to the folder, description as the trigger, the eight-heading skeleton, capability-neutral wording, safety boundaries. Each finding carries severity, rule identifier, location, quoted evidence and replacement text; the verdict READY, REVISE or BLOCKED is an apparent state and the owner decides. Use when the user asks to "review this SKILL.md", "check my skill file before upload", "lint this skill description", "validate the front matter of this skill" or "score this skill folder". Do not use to write an agent's instructions field, use agent-instructions-drafter instead; for injection or leakage exposures use agent-instructions-red-team; for launch tests use agent-evaluation-plan. 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。

Use when implementing features or fixing bugs with strict Test-Driven Development (TDD). Activate for coding tasks that require new functionality, refactoring, or comprehensive test coverage, especially when the user mentions TDD or Test Driven Development.

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。

Publish a vetted post to one of your own Telegram channels or supergroups over the MCP connector rather than a browser, with the channel resolved strictly by id from a registry, rate-guarded and draft-first. It never posts to a chat matched by name similarity. Triggers: "/tg-post", "publish to the telegram channel".

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 what prompts people ask AI engines (ChatGPT, Gemini, Perplexity, Claude) about a product category and produces a prompts.csv artifact — a prioritized, strictly-schema'd list of the queries where the brand should be cited. Feeds the monitor workflow.

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。

WooCommerce Memberships access, restriction, drip-content, product-grant, and member-discount playbook. Use when code checks whether a user can view/purchase content or products, changes scheduled access dates, customizes protected/public content, maps parent or variation products that grant membership access, applies member prices, reads original prices around discounts, or contains wc_memberships_user_can, wc_memberships_access_from_time, wc_memberships_user_has_member_discount, wc_memberships_get_member_product_discount, wc_memberships_get_discounted_price, or member discount badge hooks.

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 and review native DTOs in WordPress plugins without requiring better-data - immutable data carriers, explicit from_array hydration, strict coercion instead of unchecked casts, WP_Error validation failures, sensitive-field discipline, nested DTO arrays, and clear separation from repositories, WP models, presenters, REST controllers, and HTML views. Use when a plugin introduces FooDto, request DTOs, settings DTOs, value objects, admin-row data shapes, REST response source objects, or when reviewing code that passes raw arrays, stdClass, WP_Post, WC_Order, $_POST, post meta, or option arrays through multiple layers. Mentions better-data only as an optional higher-level library; this skill is for native implementations.

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。

Connect and manage Elementor MCP servers as "MCP Apps" on NV oOS assistants — official Elementor MCP (application passwords, permission inheritance, enable/revoke flows), third-party Elementor MCP plugins, the Pro MCP Apps metabox/slash-command/REST surfaces, the Remote Sites "MCP Server" connection type with assistant connection_ref references, auth-type mapping (basic vs header vs oauth), the host allowlist (Security Center setting, constant, filter), tool discovery/bridging into chat, and troubleshooting (allowlist 403s, restricted hosts, protocol fallback, negative discovery cache, same-site in-process bridge, missing connection_ref). Use when connecting an assistant to Elementor MCP, creating a Remote Sites MCP Server connection, using /mcp-app, fixing Test Connection or Discover Tools failures, allowlisting an Elementor host, or debugging bridged elementor_* tools missing from chat.

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。

Systematically rewrites AI-generated or AI-sounding text on web pages, documents, or pasted content to sound human. Use this skill whenever a user asks to "humanize", "de-AI", "make this sound less like AI", "rewrite to avoid AI detection", or "clean up AI writing". Also trigger when a user pastes text and asks to make it sound more natural, more human, or less robotic. The skill applies a strict deterministic rule pipeline — NOT creative rewriting — making it safe for agentic/automated use.

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。

Add or define specific fields in a collection's readSchema. Use when fields are missing from materialization field selection, pruned by complexity limit, need type refinement, need to be protected from future inference changes, or need to be required for downstream consumers. Use when user says "missing fields", "pruned fields", "field not showing up", "complexity limit", "define field in read schema", "restrict field type", or "protect field from inference".

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 for any code, documentation, config, dependency, test, review, or maintenance task in the Nauthilus repository that must follow AGENTS.md, POLICY.md, focused reproducer-first debugging, strict DRY/OOP boundaries, English comments, GOEXPERIMENT=runtimesecret test discipline, Makefile-driven validation, prompt-sync checks, and dirty-tree preservation.

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。

Prevent tool call conflicts when making concurrent edits across a codebase. Establishes strict file ownership, interface contracts, and merge strategies. Use with parallel-agents when executing concurrent code changes.

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。

Orchestrate single-slice implementation via setup and strict TDD passes with mandatory progress tracking updates

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 command-only adapters for `eval` run mode using strict stdin/stdout JSON 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。

End-to-end eval-suite orchestration with the `eval` command: run -> grade -> compare -> calibrate, using strict JSON contracts and schema discovery.

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 working with Cyberark — cyberArk privileged access management for safe management, privileged account discovery, session monitoring, credential rotation status, and security audit. Covers Vault, PVWA, PSM, and CyberArk Privilege Cloud. Read this skill before any CyberArk operations — it enforces discovery-first patterns and strict read-only safety rules.

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 working with Bitbucket Deep — bitbucket deep platform management covering repository inventory, Pipelines CI/CD monitoring, pull request analysis, branch permission auditing, deployment environment tracking, and workspace member management. Use when auditing repository configurations, investigating pipeline failures, reviewing branch restrictions, or managing workspace access.

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 working with Azure Entra — azure Entra ID (formerly Azure AD) management for user lifecycle, app registrations, service principals, conditional access policies, sign-in log analysis, and directory role assignments. Covers B2B guest users, enterprise applications, and security configuration review. Read this skill before any Entra ID operations — it enforces discovery-first patterns and strict read-only safety rules.

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 working with Aws Iam — aWS IAM deep analysis for policy evaluation, role trust relationship review, access advisor data, credential reports, permission boundary inspection, and identity-based vs resource-based policy analysis. Covers IAM users, roles, groups, policies, SCPs, and cross-account access patterns. Read this skill before any IAM operations — it enforces discovery-first patterns and strict read-only safety rules.

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 working with Auth0 — auth0 identity platform management for tenant configuration, application setup, connection analysis, rule and action review, user management, and log inspection. Covers universal login, social connections, enterprise federation, and Auth0 Actions pipelines. Read this skill before any Auth0 operations — it enforces discovery-first patterns and strict read-only safety rules.

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 working with Aws Cloudfront — aWS CloudFront distribution analysis, cache hit ratio monitoring, origin health checks, invalidation management, and performance optimization. Covers distribution inventory, behavior configuration, SSL certificate status, geo-restriction, and real-time metrics.

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 how to build with OpenAI products or APIs, asks about Codex itself or choosing Codex surfaces, needs up-to-date official documentation with citations, help choosing the latest model for a use case, latest/current/default-model prompting guidance, or model upgrade and prompt-upgrade guidance; use OpenAI docs MCP tools for non-Codex docs questions, use the Codex manual helper first for broad Codex self-knowledge, and restrict fallback browsing to official OpenAI domains.

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。

Picks the right Netlify protection layer for a deployed site and disambiguates the three unrelated things people call "auth". Use when a developer wants to password-protect a site or previews, restrict a project to their team, make a project public/private, set team visibility defaults, require SSO to view a site, or debug SSO-session symptoms like being logged out mid-session / getting 401s on an SSO-protected site / token expiry or refresh. Routes app-user login ("who is this user in my app") to the netlify-identity skill and dashboard/team SSO SSO elsewhere; this skill only chooses the perimeter layer for site/preview access.

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。

Python research assistant with Context7 MCP. Use for Python library research, evaluating packages, enforcing strict Python coding standards, or fetching up-to-date library docs via Context7.

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。