「yc」の検索結果

Flask-specific delta on top of python-foundation:sqlalchemy-patterns: Flask-SQLAlchemy extension setup, db.Model declarative models (3.x Mapped style and 2.x legacy db.Column), synchronous db.session lifecycle bound to the app context, Flask-Migrate integration. Used by flask-architect (model definitions) and flask-migrate-specialist (column finalization and migration). Activated automatically by flask-plugin/stack.md. Use this skill to: - Set up the SQLAlchemy and Migrate extensions with the app-factory pattern. - Write Flask-SQLAlchemy models with the db.Model base. - Query with db.session and manage the request-scoped session lifecycle. - Integrate Flask-Migrate for Alembic-based migrations managed via flask db commands. Do NOT use this skill for: - Framework-agnostic model, column, relationship, and querying rules — see python-foundation:sqlalchemy-patterns (load it first). - Flask routing and template/API patterns — see flask-plugin:flask-conventions. - Migration execution (flask db migrate, flask db upgrade) — that's flask-migrate-specialist's job.

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应用从 AI for Everyone 蒸馏出的「AI项目生命周期 — 从立项到落地的完整流程」方法论。Use when the user needs practical guidance, diagnosis, workflow design, decision support, or an action plan related to ai-project-lifecycle.

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 a human explicitly invokes a watcher cycle for an open pull request that must be watched until mergeable or blocked. Not for merge, force-push, or work outside the invoked cycle.

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Step-by-step tutorial for adding a new lightweight SYCL JIT kernel for Intel XPU to sgl-kernel-xpu's python/sgl_kernel/jit module (SYCL source + Python wrapper + tests + benchmark)

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Create or revise a governed Proto UI spec entity after identity, ownership, lifecycle intent, semantic scope, relations, and evidence plan are fixed by current authority. Use for Contract, Prototype, Module, Adapter profile, Decision, Host Capability, Test, Version, or Knowledge entity work. Do not use to decide an unresolved admission or lifecycle promotion.

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Build Solana trading applications combining DFlow trading APIs with Helius infrastructure. Covers spot swaps (imperative and declarative), prediction markets, real-time market streaming, Proof KYC, the DFlow Agent CLI for autonomous trading, transaction submission via Sender, fee optimization, shred-level streaming via LaserStream, and wallet intelligence.

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。

Core knowledge for migrating integrations from other platforms (Boomi, Cyclr) to Prismatic Code Native Integrations. Provides the standard integration schema, schema-to-spec mapping, confidence scoring, and migration-aware code generation patterns. Use when the user says "migrate", "convert from Boomi/Cyclr", "parse this export".

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。

AI-DLC v3（AI-Driven Development Lifecycle）のオーケストレーター。 define / develop / release / reflect の 4 フェーズコマンドと status / doctor の 補助コマンド、連続実行ラッパ express、旧名エイリアス（inception / construction / operations / retrospective）を統一的にルーティングする。 define / develop（normal / risky 含む）/ release / reflect の各フェーズフローと status / doctor の補助コマンドを実装済み（doctor は shallow scope）。

Apply behavioral science and mental models to revenue (cuan) decisions, prioritized using a psychological leverage and feasibility scoring system.

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"Apply action research through Plan-Act-Observe-Reflect cycles and Participatory Action Research (PAR) to generate knowledge while improving practice. Use this skill when the user needs to design practitioner research that integrates inquiry with intervention, facilitate participatory research with stakeholders, structure iterative improvement cycles, or when they ask 'how do I research my own practice', 'how do I involve participants as co-researchers', or 'how do I combine research with practical change'.".

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"Analyze and design pricing strategies including cost-plus, value-based, competitive, penetration, and skimming approaches with psychological pricing techniques. Use this skill when the user needs to set or change prices, evaluate pricing models, understand price elasticity, or apply psychological pricing — even if they say 'how much should we charge', 'are we priced right', or 'our margins are too low'.".

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Detects version drift between machine-readable law YAML files and the binding geldende wettekst on wetten.overheid.nl at the YAML's claimed valid_from. Catches the silent failure where authored content lags behind ingevoerde wijzigingen — a YAML dated 2025-01-01 still carrying pre-Stb.-X text. Activate as Step 0 of every regelrecht-stelselanalyse micro-cycle, before any YAML edit. Strict by design: no bypass, no normalization beyond whitespace within a single paragraph; the geldende wettekst is leading and is mirrored verbatim, including errata. Use proactively when starting a stelselanalyse cycle, before harvest/migrate/extend, or when user mentions "drift", "versie", "geldende tekst", or worries that a YAML may be stale relative to wetten.overheid.nl.

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Voert de iteratieve desk-review-&-completion-cyclus uit op een regelrecht-corpus — plannen, harvesten/migreren/uitbreiden, multi-agent valideren, bevindingen 4-weg classificeren (modellering-fout / wetgevings-fout / engine-limitatie / acceptabele untranslatable), synthese + heroverweging, documenteren (wetgevings-/stelselfouten-analyse, fixes-plan, engine-limitaties, diagrammen, corpus-status), verifiëren tegen externe bronnen (resolutie-tracker + bronnen-dossier), en een eindrapport per cyclus. Gebruik dit bij corpus-review op correctheid/coverage zonder live expert-sessie, het opstellen van een wetgevings-notitie-bron, schema-migratie, het harvesten van nieuwe wetten, of het aansturen van een autonome completion-loop. Dossier-agnostisch; de regelrecht-methode is de vaste taal. Voor live-validatie met experts: zie regelrecht-audit-products.

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 before writing PlayCanvas behaviour from scratch, to reuse the scripts and helpers the installed Engine already ships.

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 before loading, placing, scaling, or animating GLB models in PlayCanvas to measure bounds, grounding, clips, joints, and hierarchy with the bundled offline inspector.

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 before repeatedly placing GLB models in PlayCanvas to record each asset's uniform scale, grounding offset, pivot compensation, and yaw once.

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 a PlayCanvas rendering change is meant to leave the image unchanged, to prove it with deterministic captures and pixel comparison.

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 adding visual effects to a PlayCanvas app, to choose between particle systems, shader chunks, runtime meshes, and post-processing.

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 reading state from a running PlayCanvas app, to reach its live Application through the Engine devtools hook without changing app code.

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 a PlayCanvas feature the project does not use yet, to find and adapt the official example matching the installed version.

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 loading glTF/GLB models or textures in PlayCanvas, choosing Draco or Basis/KTX2 compression, or setting up decoders and preloading.

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 a PlayCanvas StandardMaterial needs custom shading its properties cannot express, such as stylized looks or vertex displacement, before writing a ShaderMaterial.

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 static PlayCanvas lighting, shadows, or ambient occlusion cost too much per frame and should be baked into lightmaps.

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 a PlayCanvas app has too many draw calls or is CPU-bound, before hand-merging meshes or writing custom renderers.

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。