「end-to-end」の検索結果

End-to-end substantive-integrity forensic sweep of a research paper (especially autoresearch / AI-Scientist-style output). Orchestrates the whole pipeline: ingest (arxiv-id | pdf | dir → working dir + pdftotext for L0) → /evidence-ledger (artifact manifest + observability level L0/L1/L2 + span-anchored claims.json) → fan out the integrity auditor skills (consistency, citation, baseline, experiment, presentation, proof-derivation, eval-design — each reads the ledger, emits span-anchored findings) + the zero-verdict-weight AIS writing-style track → advisory memos (/adversarial-case-builder + /novelty-duplication-advisory, no verdict weight) → deterministic tools/adjudicate_findings.py (--ledger REQUIRED) → reviewer-ready Integrity Forensics Report. Cross-model (fresh codex per dimension) and reviewer≠adjudicator: the model proposes findings, the deterministic adjudicator decides the verdict. Observability-aware, detect-only, never an opaque AI-text classifier (a separate zero-weight AIS section lists AI writing-style impressions, never moving the verdict). Triggers: "anti-autoresearch", "integrity audit this paper", "forensic review", "audit a submission", "审一篇投稿的诚信".

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。

Land an OpenClaw PR end-to-end using the repo landpr checklist. Use when someone requests “/landpr” or asks to merge/land a PR.

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 test of the heygen CLI against the live API. Builds the binary, then exercises auth, list, get, --human, schema, error handling, and the full create-poll-download-delete write path. Spends a small number of API credits per run. Use before cutting a stable release.

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 an AI agent (or any external script) needs to play-test a running Pixi'VN game end-to-end in a real browser — starting the game, advancing/branching the story, answering input prompts, going back, and reading/writing storage — via `Game.testing`, the opt-in devtools bridge exposed on `window`. Load this before wiring up automated/agent-driven playtesting, not for authoring story content itself (see `pixi-vn-narration`).

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。

Automate Qwoted (HARO-style PR platform) end-to-end and earn high-DR backlinks at scale: log in, set up the user's "expert" Source persona (bio + employer + contacts), search the Algolia-backed opportunity index, RESEARCH and BUILD a sourced statistics page on the user's topic (the linkable asset journalists love to cite), draft pitches as the user that link to that page, and submit them to journalists. Use this skill whenever the user asks for "PR opportunities", "Qwoted opportunities", "press mentions", "journalist requests", "HARO replies", "media pitches", "podcast guesting", "expert quotes", "stats page for SEO", "research page for journalists", or "backlinks from journalists".

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。

Join and operate on tiny.place (the agent-to-agent social network): create a self-custodied wallet, fund it via MoonPay, buy/renew/transfer a @handle 'domain', publish a discovery card, discover and resolve other agents, manage your profile and social graph (follow/feed/reputation), send Signal end-to-end encrypted messages, earn and spend through the jobs/escrow economy and marketplace, audit the settlement ledger, and poll the platform for updates — all through the `tinyplace-agent` CLI.

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。

Live on tiny.place (the agent-to-agent social network) like a person lives on a social app — entirely through the `tinyplace` CLI. Onboard a @handle identity, get funded, become discoverable, then run a recurring check-in loop that pulls your messages, notifications, and feed and acts on them: reply to DMs, react on the feed, follow agents, join groups, and fund/win bounties (contest-style paid work) over Signal end-to-end encryption and x402 payments. Use whenever an autonomous agent or harness needs to onboard to, or keep operating on, tiny.place.

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。

Interactively pick a quick-win contribution in any GitHub repo — either a labeled issue ("good first issue", "help wanted", docs) or a repo-scan candidate (typo, missing tests, i18n gap, actionable TODO). Runs a TDD dev-loop, opens a PR via gh, and returns the PR URL. Use when the user wants to auto-contribute to an open-source project end-to-end. Trigger words: auto-contribute, open a PR for me, find a good first issue, contribute to <repo>.

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。

Map the end-to-end service delivery system including frontstage actions, backstage processes, and supporting infrastructure.

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 an end-to-end user journey map with stages, touchpoints, emotions, pain points, and opportunity areas. Use when mapping the full user experience for a product, feature, or service.

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。

EXPERIMENTAL. Use when working the project-wide out-of-scope backlog at paad/code-reviews/backlog.md and paad/security/backlog.md — cleaning it of entries that are already fixed or gone, or picking the next entry and fixing it end-to-end. Not for producing backlog entries — that is /agentic-review — and not for reviewing a branch diff.

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。

EXPERIMENTAL. Use when working the project-wide out-of-scope backlog at .reviews/code/backlog.md and .reviews/security/backlog.md — cleaning it of entries that are already fixed or gone, or picking the next entry and fixing it end-to-end. Not for producing backlog entries — that is the agentic-review skill — and not for reviewing a branch diff.

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。

Thin orchestrator for the end-to-end video localization pipeline. Routes to the four focused sub-skills — /wjs-transcribing-audio, /wjs-translating-subtitles, /wjs-dubbing-video, /wjs-burning-subtitles. Use when the user asks for full localization in one go ("帮我把这个西班牙语视频做成中文字幕+配音", "translate and dub this video", "做完整的本地化"). For any individual step (just transcribe, just translate, just dub, just burn), invoke the sub-skill directly — it's faster and the boundary is cleaner.

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。

Audit and rewrite an X (Twitter) profile end-to-end for 2026: bio (160 chars), display name with a searchable keyword, @handle, header image, pinned tweet, link, and location. Triggers on "review my X profile", "fix my bio", "rewrite my Twitter bio", "optimize my header", "pin the right tweet", "X profile audit". Turns a default profile into one that converts visitors into followers. Not for writing tweets (use x-post-writer).

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 reasoning, principles, and mental models of Sebastian Thrun (robotics and self-driving cars pioneer, founder of Google X, Waymo, Udacity, Stanford University). Reach for this skill whenever Claude is asked to advise on hardware/software systems engineering, autonomous vehicles, moonshot ideation, probabilistic robotics (SLAM), or leading high-stakes engineering teams. Trigger this skill for discussions on democratizing education, regulating AI, transitioning from academic research to product development, or managing technical teams with empathy. Use it to shift focus from incremental component debates to end-to-end execution and audacious goals.

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 mental models and frameworks of Andrej Karpathy (deep learning, former Director of AI at Tesla, founding member of OpenAI, Eureka Labs). Use this skill whenever you are helping the user build neural networks from scratch, debug deep learning pipelines, evaluate AI agent workflows, design LLM apps, or navigate the transition to Software 3.0 (vibe coding). It is highly relevant for pedagogy (untangling complex knowledge), assessing AI capabilities vs. limitations (jagged intelligence, tokenization limits), and architectural decisions (end-to-end optimization vs. complex pipelines). Reach for this whenever discussing LLM training, autonomous systems, or AI-assisted coding.

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 reasoning style of Kaiming He, computer vision pioneer and creator of ResNet. Use this skill whenever you are designing deep learning architectures, debugging neural network optimization, formulating generative AI problems, or bridging AI with other scientific domains. Trigger this skill for discussions on network depth, weight initialization, residual learning, flow matching, or when reframing discriminative tasks as conditional generation. It emphasizes simplicity in complex visual problems, end-to-end optimization, and viewing AI as a universal language for science.

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 verifying a running application end-to-end through its real interface — a web UI, a CLI, or a TUI — by writing and executing agent-run "scenario cards" against a freshly built instance with falsifiable assertions. Trigger on "test it end to end", "prove the UI actually works", "write/run a scenario", or after a change touches a user-facing surface that unit tests can't fully cover. Not for unit tests, pure code review, or API-only checks.

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 you need the end-to-end merge -> deploy -> watch -> verdict sequence for a delivery mode, or a tool result you did not expect (refusal, park, tag exists)

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。

Investigate a monitoring alert end-to-end. Pulls metrics, logs, traces, and recent code changes to identify root cause. Works with any monitoring MCP.

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。

The end-to-end procedure for one trade on the HyperGrok desk - from an idea to a reviewed, journaled result - with the ticket format, who owns each stage, and what "done" looks like. Use whenever the user wants to open, adjust or close a position, or whenever any Bot is about to touch the exchange write 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。

Tests a real web user flow with a browser by asserting semantic behavior, network and loading states, keyboard access, responsive layouts, and stable visual evidence. Use for browser bugs, end-to-end UI behavior, responsive or accessibility checks, and screenshot baselines. Not for static source review without a browser or for backend-only tests.

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 content creation and publishing. Takes a topic (or generates one), drafts in the user's voice, gets approval via Telegram, and publishes to Medium via browser automation. Invoke with "publish a post about X", "write and publish to Medium", "content-publish", or when an ego-dispatched session needs to create and distribute content.

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。

Designs cross-system target states and transition plans. Use when comparing end-to-end options or phased migrations. Not for in-service topology (software-architecture-design).

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。