「vin」の検索結果

First-tier tech company P9 capability advisor for evaluating, coaching, and giving career advice against a P9 senior expert, director, or business/organization-level leader profile. Use when the user asks for P9-level assessment, promotion readiness, executive capability gaps, strategic project review, resume positioning, interview preparation, or growth advice based on first-tier tech company P9 expectations.

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Audit and optimize landing pages for conversion rate. Use when the user asks about conversion rate optimization, CRO, landing page audits, improving sign-ups or sales, reducing bounce rate, A/B test ideas for pages, form optimization, or CTA optimization. Trigger phrases include "conversion rate", "CRO", "landing page audit", "why isn't my page converting", "improve conversions", "optimize my page", "reduce bounce rate", "CTA optimization", "form optimization", "above the fold".

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。

Knowledge base from "Solving a Million-Step LLM Task with Zero Errors" (Meyerson, Paolo, Dailey, Shahrzad, Francon, Hayes, Qiu, Hodjat, Miikkulainen — arXiv:2511.09030). Use when designing long-horizon, multi-step agentic LLM pipelines that need very high reliability, applying Maximal Agentic Decomposition (MAD), first-to-ahead-by-k voting, or red-flagging error correction, estimating cost/reliability scaling laws for multi-agent systems, or studying Massively Decomposed Agentic Processes (MDAPs).

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Provides reverse engineering techniques. Use when the main job is to understand how a compiled, obfuscated, packed, or virtualized target works before exploiting or solving it, including binaries, APKs, WASM, firmware, custom VMs, bytecode, malware-like loaders, and anti-debug or anti-analysis logic. Do not use it when the vulnerability is already understood and the remaining task is exploitation; use pwn instead. Do not use it for pure web workflows, log or disk forensics, or standalone crypto problems unless reversing the implementation is the real blocker.

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 to keep moving without inspecting progress, or when the user asks what is next in the GSD workflow. Reads STATE.md, ROADMAP.md and phase dirs to invoke the next step; --force skips safety and verification gates.

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 archiving a milestone, or when the user asks whether a milestone met its definition of done. Aggregates phase VERIFICATION.md files, tech debt and deferred gaps, then runs a cross-phase integration check.

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 to refresh CLAUDE.local.md, regenerate project context, or after a brain-update session flush. Rewrites only the sentinel-delimited auto-generated section from the brain DB, preserving manual behavior 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。

Start a safe, governed autonomous loop from a plain-language goal. Use when the user says /coco-loop, "run an autonomous loop", "keep my build green for N hours", "work on X autonomously for a while", or wants a bounded self-improving loop that proposes fixes and never commits on its own. Turns a vague goal into a readable charter the user confirms, then arms and runs the loop propose-only under the coco-loops governance framework.

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Audit token consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations. Use when the context window is filling up too fast or before adding new components.

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。

Install, update, version-check, or uninstall the Coco open-source AI workflow framework via bin/coco.js. Use when setting up Coco on a machine, checking out the pinned release tag into an existing clone, checking the installed version, or removing it. npx cocosuperintelligence is the published path (clones the pin and installs). Triggers on "install coco", "update coco", "set up coco", "coco cli", "uninstall coco".

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。

Evolve this harness with Darwin Mode — frozen model, evolving harness (real, sandboxed, safety-gated).

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。

Listen with earshot whenever you must judge, choose, trim, verify or compare sound you cannot hear - picking a sound effect, music or ambience from candidates, finding the cleanest moment in a recording, checking whether audio reads as a real recording or as code-synthesized, reviewing a soundtrack or a video's audio (what happens when, sync to picture, loudness, mix), A/B-ing a mix change, or making a sound in code and improving it by listening (earshot forge). Use it before telling anyone how audio sounds.

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Generate multiple diverse solutions in parallel and select the best. Use for architecture decisions, code generation with multiple valid approaches, or creative tasks where exploring alternatives improves quality.

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。

Execute Python code locally with marketplace API access for 90%+ token savings on bulk operations. Activates when user requests bulk operations (10+ files), complex multi-step workflows, iterative processing, or mentions efficiency/performance.

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。

Transfer code between files with line-based precision. Use when users request copying code from one location to another, moving functions or classes between files, extracting code blocks, or inserting code at specific line numbers.

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One-shot efficiency audit of a file, diff, or whole repo across BOTH axes at once: over-engineered code (reinvented stdlib, needless abstractions, speculative config) AND bloated prose (verbose comments, padded docstrings, redundant doc sections). Neither a pure code-minimizer nor a pure prose compressor does both in one pass. That's the point. Ranked report, biggest saving first; changes nothing. Use when the user says "chisle audit", "/chisle-audit", "audit this for bloat", "what can I cut", "review this PR for over-engineering and verbosity".

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 and download images through APIMart's asynchronous GPT-Image-2 API. Use when Codex needs APIMart image generation, GPT-Image-2 text-to-image, image-to-image with reference URLs or local image files, 1k/2k/4k output, aspect-ratio control, task polling, or saving APIMart image results locally.

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 a scroll-controlled cinematic product website with rich motion (动效网站) from product materials, reference pages or videos, and brand assets. Use for requests involving 网站动效, immersive product landing pages where scrolling moves a continuous video forward and backward, multi-scene visual storytelling, direct image2.0 and Seedance 2.0 generation, scene-continuity review, or local preview packaging. Do not use for ordinary corporate sites, dashboards, ecommerce, blogs, or standalone promo videos without a website.

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 and validate support for a Hugging Face model architecture in the Optimum Intel OpenVINO backend, including exporter configuration, patching, repository tests, and documentation.

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。

Applies the Refactoring Priority Premise (RPP) levels L1-L6 for systematic code refactoring. Use when improving code quality through structured refactoring passes.

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。

Methodology for minimizing test count while maximizing behavioral coverage - behavior definition, anti-pattern catalog, consolidation patterns, stopping criterion, coverage-preserving validation

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。

Minimizes test count while preserving coverage. Detects byte-identical pairs, parametrize-inflation, language-guarantee tests, AST-shape tests, stale migration nets. Approval gate before any change.

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。

BDD patterns for acceptance test design - Given-When-Then structure, scenario writing rules, pytest-bdd implementation, anti-patterns, and living documentation

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Best practices for polars data processing with dataframely. Covers definitions of Schema and Collection, usage of .validate() and .filter(), type hints, and testing. Use when writing or modifying code involving dataframely or polars data frames.

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。