「meta」の検索結果

Design, implement, or review dygo roles, Entity access metadata, Permissions, and permission-aware Business App behavior. Use when access to Records or business actions is central to the task.

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, implement, or review dygo HTTP APIs and public App SDK contracts. Use for Record APIs, metadata and boot endpoints, query behavior, response envelopes, compatibility, and public Go interfaces.

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 or extend a dygo Business App using the supported project layout, generators, metadata, SDK, and validation workflow. Use for general app work that is not primarily Entity modeling, access, hooks, Jobs, fixtures, or patches.

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。

Develop or review dygo PostgreSQL connectivity, schema planning, additive migration, prune, metadata persistence, Records, transactions, and schema snapshots. Use for framework database behavior and high-risk data lifecycle 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。

Write or update dygo instructions, reference documentation, task descriptions, CLI help, metadata examples, or architecture notes. Use when documentation quality and contract accuracy are central to the task.

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。

Discovers and invokes agent skills. Use when starting a session or when you need to discover which skill applies to the current task. This is the meta-skill that governs how all other skills are discovered and invoked.

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。

Keep module structure, naming, and build configuration ready for future publishing. Handle new Gradle modules, library metadata, namespace and artifact readiness.

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 literature review methodology for social science research. Use when conducting systematic reviews, research synthesis, meta-analyses, scoping reviews, or comprehensive literature searches across economics, political science, sociology, education, public health, and development. Produces structured notebook cells with search strategy, evidence table, thematic synthesis, and gap analysis.

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。

Auto-activate for msgspec, Struct, Meta, msgspec.json, msgspec.msgpack, tagged unions, enc_hook, dec_hook, convert(), or Litestar DTO shapes. Not for Pydantic or ORM models — use their stack-specific 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。

Use when writing, reviewing, or deciding what to post on Threads. Also triggers when planning post-viral strategy or checking posting timing. Runs pre-publish checks based on Meta algorithm patents.

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。

GEODE runtime context for model selection and metadata, architecture, packaging, release, docs, CI, AgenticLoop, async runtime, and plugin boundaries.

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 and maintain agent skills with concise trigger metadata, judgement-aware guidance, progressive disclosure, and tested interfaces. Use when adding, refactoring, reviewing, or troubleshooting skills and their bundled scripts or references.

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。

Deep knowledge about deploying applications to Baremetal servers or Virtual Private Servers (VPS) using SSH, SCP, Rsync, and PM2/Systemd.

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。

Configura el repositorio de GitHub de punta a punta con gh — descripción, topics, labels, rama develop, protección de ramas, merge settings y metadatos — a partir de la definición del producto. Úsalo al crear el repo de un proyecto nuevo o cuando haya que poner en orden uno existente (p. ej. "configura el repo", "prepara el repositorio en GitHub", "pon los labels y la protección de ramas").

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。

Produces a structured, objective summary of corporate board meetings covering metadata, quorum, attendance, conflicts, resolutions with vote counts, committee reports, and significant corporate actions. Use when summarizing board minutes, creating a corporate governance record, or preparing a post-meeting recap for officers, shareholders, or regulators.

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。

Manages git worktrees for parallel agent isolation. Creates isolated worktrees for parallel agents on parallel/{name}-{timestamp} branches, merges results with conflict detection, prunes stale metadata, and reports health status. NOT for user-initiated feature branches — use git worktree directly for that.

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 stuck on approach (not debugging). Strategic unsticking via 7 non-default techniques: simplification cascades, collision-zone thinking, meta-pattern recognition, inversion, scale game, first principles, via negativa. Triggers on complexity spiraling, innovation block, recurring patterns across domains, forced-assumption solutions, scale uncertainty, told-it's-impossible, or bloated systems needing subtraction. For evidence-based root-cause debugging, use mk:sequential-thinking instead.

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。

Pre-generation architecture check — detect R006 separation-of-concerns and compilation metaphor violations before code generation begins

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 taking a repo open source, or hardening one that already is. Run /oss-launch and it scans the repo (stack, existing files, git remote, secrets), asks only what it cannot infer, then generates a tailored OSS file collection (README, LICENSE, CONTRIBUTING, CODE_OF_CONDUCT, SECURITY, CHANGELOG, .gitignore, .github/ issue + PR templates, CI/CD). Also covers launch (GitHub metadata, badges, Show HN, Reddit, YouTube), release cadence (SemVer + CHANGELOG), and demo-GIF generation. Triggers on "open source this", "OSS checklist", "prep for launch", "make this repo public", "add a license / contributing / security policy", "Show HN", "release workflow", "star growth", "get contributors".

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。

Annotate speech/TTS datasets with per-clip quality metrics (MOS, SNR, STOI, pitch, bandwidth, speaking rate, WER/CER, gender/emotion), multi-ASR consensus transcription and speaker labeling using the audiogear pipeline; then filter clips by quality and build listenable HTML QA reports. Use when asked to compute audio dataset metrics, build extended_metadata.csv, transcribe unlabeled audio, select clean TTS training data, or QA a speech dataset.

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。

Up-to-date Zig programming language patterns for version 0.17.0-dev (0.16.0 stable APIs plus the 0.17 deltas). Use when writing, reviewing, or debugging Zig code, working with build.zig and build.zig.zon files, or using comptime metaprogramming. Critical for avoiding outdated patterns from training data - especially std.net→std.Io.net (requires Io instance), std.time timestamps removed (use clock_gettime), std.Thread.Mutex/Condition/sleep removed (use pthreads), std.crypto.random removed, build system APIs (root_module, Compile methods→Module methods), I/O APIs (buffered writer pattern), container initialization (.empty/.init), allocator selection (DebugAllocator), ArrayList now unmanaged by default, @typeInfo lowercase fields (.@"struct" not .Struct), and removed language features (async/await, usingnamespace). Also covers 0.17.0-dev deltas: b.args→run_cmd.addPassthruArgs(), std.gpu→std.spirv, @bitCast logical-bit (endian-agnostic) semantics, build configurer/maker split, and the zig-pkg/ package directory. Also covers quality tooling Zig does not ship: coverage with kcov (and why in-file tests wreck the denominator), detecting unused private functions (neither the compiler nor zlint's unused-decls finds them), duplicate detection with jscpd, zlint (NOT the same-named X.509 linter in Homebrew), and the built-in fuzzer whose testOne now takes *std.testing.Smith rather than []const u8.

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 and scaffold plugin directories for Codex with a required `.codex-plugin/plugin.json`, optional plugin folders/files, and baseline placeholders you can edit before publishing or testing. Use when Codex needs to create a new local plugin, add optional plugin structure, or generate or update repo-root `.agents/plugins/marketplace.json` entries for plugin ordering and availability metadata.

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。

Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling

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Advanced CV for infrastructure inspection including forest fire detection, wildfire precondition assessment, roof inspection, hail damage analysis, thermal imaging, and 3D Gaussian Splatting reconstruction. Expert in multi-modal detection, insurance risk modeling, and reinsurance data pipelines. Activate on "fire detection", "wildfire risk", "roof inspection", "hail damage", "thermal analysis", "Gaussian Splatting", "3DGS", "insurance inspection", "defensible space", "property assessment", "catastrophe modeling", "NDVI", "fuel load". NOT for general drone flight control, SLAM, path planning, or sensor fusion (use drone-cv-expert), GPU shader development (use metal-shader-expert), or generic object detection without inspection context (use clip-aware-embeddings).

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。