「ida」の検索結果

Browser automation, web scraping, E2E testing, and visual regression with Playwright. Covers 30+ patterns: login flows, form testing, responsive design checks, broken link validation, API mocking, data extraction, PDF generation, accessibility audits (axe-core), performance budgets (Lighthouse), visual diffing, multi-browser testing (Chromium/Firefox/WebKit), mobile emulation, infinite scroll, shadow DOM, iframes, file downloads, auth state reuse, cookie consent handling, WebSocket monitoring, console error detection, HAR export, trace viewer, Docker CI, GitHub Actions, and parallel sharding. Use when user asks to test a website, take screenshots, check responsive design, automate a browser task, scrape data, validate forms, check broken links, test login, audit accessibility, or measure page performance. Do NOT use for unit testing, API-only testing, or static analysis. Requires Node.js 18+.

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Analyze startups with Paul Graham mindset (pressure, founder-market fit, brutal validation), Dan Koe discipline (monetization, offer, distribution, sales), and Seth Godin principles (differentiation, narrative, smallest viable audience). Triggers on startup idea, business validation, MVP, first customers, revenue model, GTM, product-market fit, "I have an idea".

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Create, validate, and enrich Open Knowledge Format (OKF) bundles — the open spec for representing organizational knowledge as markdown files with YAML frontmatter. Use when the user mentions 'OKF', 'Open Knowledge Format', 'knowledge bundle', 'OKF bundle', 'create a knowledge base for agents', 'validate OKF', 'convert to OKF', 'enrich knowledge docs', 'agent-readable knowledge', 'LLM wiki', 'knowledge catalog', 'kcmd', or wants to structure knowledge as markdown files for AI agent consumption. Also use when the user has a directory of markdown files and wants to make them interoperable or conformant with the OKF standard. Even for simple requests like 'make this folder OKF conformant' — the skill has critical structural rules the agent needs.

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, validate, and explain `auth.md` files — the open protocol for AI agent registration. Use when making apps agent-ready, generating Protected Resource Metadata (RFC 9728), validating auth.md files, or implementing agent registration endpoints. Triggers on "auth.md", "agent registration", "agent auth", "make my app agent-ready", "ID-JAG", "identity_assertion", "service_auth", "protected resource metadata", "agentic registration".

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Security best practices for Micronaut/Kotlin backend including authentication, authorization, input validation, and OWASP prevention. Use when implementing auth, validating inputs, or reviewing security.

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Validate a startup idea with competitor analysis, market signals, and risk assessment. Be brutally honest. Use when the user wants to test if an idea is worth building.

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Measure and validate supplied reference images, wireframes, texture atlases, and Blender renders before declaring a reconstruction 1:1. Use when an asset must match a template, when visual feedback says the output is off, when part counts must be exact, or before exporting a brand mascot/logo reconstruction. Pairs with reference-to-3d, contour-to-mesh, orthographic-registration, atlas-uv-fitting, and Blender MCP.

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Run a self-refinement loop when a Blender result is subpar, user expectations are not met, validation fails, or repeated issues reveal missing skill depth. The loop diagnoses the gap, decides whether to repair the artifact or acquire/refine a generic skill, sanitizes lessons for reusable publication, updates docs/versioning, validates, and prepares stage/commit/push when explicitly requested.

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The methods a financial-ML result has to survive before it is evidence — purged cross-validation with an embargo, triple-barrier labelling, sample uniqueness under overlapping labels, fractional differentiation, meta-labelling, and multiple-testing correction. Written because the invariants were required of quant-researcher and nothing in the project explained how to satisfy them: a rule without a method produces either an invention or a block. Applied whenever a backtest, a feature or a label is being designed or judged.

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This skill should be used when a session's job is POST-MERGE VERIFICATION — taking merged PRs and establishing whether the change actually does what it claimed, then recording the result against its `pr_verifications` obligation. "validate the merged PRs", "work the verification backlog", "did that PR actually work", "run the post-merge E2E". It owns the obligation ledger the repo-pulse worker fills. Do NOT load it for building a change and opening its PR (that is `genesis-development`), or for driving open PRs to merge (that is `closing-session`).

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Audit the game for security vulnerabilities: save tampering, cheat vectors, network exploits, data exposure, and input validation gaps. Produces a prioritised security report with remediation guidance. Run before any public release or multiplayer launch.

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Validates a running application, CLI, API, service, or generated artifact as a user or operator against a prewritten observable behavior contract while remaining source-blind. Use for acceptance checks, runtime proof, anti-fake probes, release smoke tests, or an independent companion to code review. Not for source-quality findings, root-cause diagnosis, or visual design judgment outside the contract.

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Find similar design-registration candidates from a product image using Nexscope. Use for image-based design patent candidate screening with region, jurisdiction, Locarno and legal-status filters. Returns evidence for review, never an infringement or freedom-to-operate verdict.

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Analyze a Monte Carlo monitor and recommend config changes to reduce alert noise. Supports metric, custom SQL, validation, table, and agent (metric, evaluation, trajectory, validation) monitors. Fetches the report, identifies patterns, and suggests tuning.

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Shift-left safety net for dbt/SQL model edits. Runs change impact assessment before edits, generates SQL validation queries after, and executes them via `/mc-validate run`. Delegates health and monitor creation to peer skills.

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Create, edit, validate, and import Monitors-as-Code YAML files. CLI-first; falls back to MC MCP tools, then manual validation.

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Generate SQL validation notebooks for dbt changes. Pass a GitHub PR URL or local dbt repo path.

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。

Retroactively audit and fill Nyquist validation gaps for a completed phase

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。

Stage exploration before instruction on complex problems. The learner produces two attempted approaches before consolidation — which builds on those attempts, not from scratch. Use for genuinely hard problems where struggle produces deeper learning.

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, update, or validate a PRD. Use when the user wants help producing, editing, or validating a PRD

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, update, or validate a product brief. Use when the user wants help producing, editing, or validating a brief

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。

Condense any input — an idea, brief, PRD, transcript, or mixed notes — into a short spec: one kernel file plus supporting files that downstream skills build from. Also updates and validates existing specs. Use when the user says "create a spec", "distill this into a spec", "validate this spec", or "update the spec"

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Plans, creates, and validates BMad modules. Use when the user requests to 'ideate module', 'plan a module', 'create module', 'build a module', or 'validate module'.

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, update, or validate a product brief. Use when the user wants help producing, editing, or validating a brief.

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。