「batch」の検索結果

This skill should be used when the user asks to "make a Spotify Wrapped style video", "build a year in review / year-in-review video", "create a personalized data video", "generate a recap video", "build a wrapped video generator", "turn a data table into shareable videos", or "make per-user stat videos". Covers the data row → one shareable video pattern, the Wrapped scene grammar (big-number reveals, top-X lists, superlatives), animated data counters, vertical 9:16 framing, and batch-rendering many personalized videos from one template.

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。

Choose the authorized worker channel and hand over complete engineering responsibilities, including in-scope self-check, repair and delivery. Use for substantial investigation, implementation, continuation and recovery; use swarm for approved independent batches. Respect the operator's standing ACP/native choice, explicit solo, and tiny or nearly finished work.

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。

OpenTSC v2.1: Soul/Shell architecture for interpersonal intelligence. Local, offline-first, with event graphs, judgment engine (K7), self-creation (K8), three-layer attributes, calibrated predictions, 11 VSM professions, and a pluggable zvec memory index (semantic search, identity resolution, jieba segmentation, emotion scoring incl. batched+cached LLM) that runs with zero extra deps. Transforms implicit social judgment into explicit, queryable, auditable, evolving 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。

Interactively gather parameters for `python -m cli.inference.text_generate`, generate a concrete text generation simulation command, explain assumptions, ask for execution confirmation, then run the command and summarize performance metrics. Use when the user wants to validate a specific model, hardware profile, batch/query size, prefill or decode scenario, TP/DP/EP/MOE parallel strategy, profiling database, chrome trace, empirical metrics export, or a best row produced by throughput_optimizer.

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。

Creates high-converting 'X vs Y' and 'X alternatives' SEO pages that capture comparison search traffic. Researches competitors, writes honest comparison content, and adds schema markup (FAQPage, ItemList). Use when someone needs alternatives pages, comparison content, or says 'alternatives page', 'vs page', 'comparison', 'competitor alternatives', 'X vs Y page', or wants to capture competitor brand search traffic with SEO content. Also trigger when someone wants to rank for competitor brand names, capture competitor search traffic, create a compare page, or build a competitive content hub. Even if they just say 'how do we compete with X' or 'we need to show up when people search for [competitor]', this skill applies. Owns the individual alternatives / vs / comparison page. For a batch roadmap of many pages with a phase tracker, see /seo-machine. For programmatic SEO and templated content at scale, see /seo-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。

Batch Resume Screening — score and rank candidates 0-100 against job requirements, flag red flags (job hopping, gaps, skill mismatches), output Pass/Phone Screen/Skip recommendation per candidate

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 git commits using the Conventional Commits specification. Use this skill whenever the user says "commit", "git commit", "/commit", "stage and commit", "make a commit", "save my changes", or asks to commit specific files or all changes. Also triggers on phrases like "push my changes" (commit first), "commit everything", "commit with message X", or whenever git diff/status suggests uncommitted work the user wants to save. Handles auto-staging, diff analysis, message generation, breaking change detection, batch splitting of unrelated changes, safe pushes, and pre-commit hook failures gracefully. Always use this skill rather than ad-hoc git commit commands.

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。

Author, review, or batch-produce SVG icon hover gestures and icon↔icon morphs (Hugeicons/Lucide/Phosphor). Use for animated icon, icon hover, per-icon gesture, icon morph, menu↔cross, stroke-dashoffset draw-on, pathLength, transform-box. Not for page transitions, Lottie, or general UI chrome motion.

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。

Multi-step content production pipeline that takes a topic or brief and produces a full blog post, email newsletter excerpt, and three social posts — all in your voice. Useful for building a content batch, when repurposing a core idea across formats, during content sprint sessions, and for turning expertise into publishable material. Use when the user says "create content", "content pipeline", "blog to social", "write and repurpose", "content engine", or "create a blog post and social posts".

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。

Workflow for enriching raw IOCs. Routes each IOC type to the appropriate /lookup-* skills, optionally correlates against MISP, and synthesises a single enrichment record per indicator. Use when the user has a batch of raw IOCs to process before triage or before pushing into a sharing platform.

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 generate, remix, poll, list, download, or delete Sora videos via OpenAI’s video API using the bundled CLI (`scripts/sora.py`), including requests like “generate AI video,” “Sora,” “video remix,” “download video/thumbnail/spritesheet,” and batch video generation; requires `OPENAI_API_KEY` and Sora API access.

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。

Run a reusable opportunity-to-artifact workflow: discover unmet needs, set up workspace factories, schedule recurring commander/worker/reporter prompts, batch-refine many items, optionally use SQLite state, build small artifacts, review quality, and track outcomes. Use when the user wants to repeatedly create apps, games, products, content, or experiments from market/user 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。

"Calculate Economic Order Quantity to minimize total inventory cost (ordering + holding). Use this skill when the user needs to determine optimal order size, balance ordering frequency against storage costs, or set reorder points — even if they say 'how much to order', 'optimal batch size', or 'inventory cost minimization'.".

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。

Merge duplicate or excessively overlapping beads in .beads/beads.jsonl into canonical ones. Run after any batch where 20+ new beads were created.

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。

Optimizes Atlassian Forge apps to reduce platform consumption and avoid unnecessary costs using Atlassian's "Optimise Forge platform costs" guidance. Use when the user asks to optimize Forge app costs, reduce Forge invocations, lower GB-seconds, reduce storage or log usage, tune memory, replace polling, improve scheduled triggers, reduce KVS writes, move work to the frontend, use bridge APIs, batch API calls, add caching, or evaluate Forge Remote trade-offs. By default, perform an audit first and offer to make the recommended changes after presenting the audit. Only modify files immediately when the user explicitly asks the agent to implement or apply optimizations.

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。

Covers object-level authorization bypass in GraphQL APIs where introspection reveals hidden fields or mutations that accept arbitrary user/resource IDs without ownership checks. Trigger on keywords like "GraphQL", "query", "mutation", "introspection", "resolver", "node ID", "relay", "object type", "schema", "batching", or "alias". Applies to dual-stack REST+GraphQL apps, Relay-style global IDs, and unauthenticated resolvers.

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。

GraphQL and hidden parameter testing playbook. Use when exploring introspection, batching, undocumented fields, hidden parameters, schema abuse, and GraphQL authorization gaps.

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Deep API security assessment beyond surface scanning. Covers the full OWASP API Security Top 10 (2023): Broken Object Level Authorization (BOLA / IDOR), Broken Authentication, Broken Object Property Level Authorization (mass assignment + excessive data exposure), Unrestricted Resource Consumption, Broken Function Level Authorization (BFLA / vertical privilege escalation), Unrestricted Access to Sensitive Business Flows, Server-Side Request Forgery via API parameters, Security Misconfiguration, Improper Inventory Management (shadow/zombie/deprecated endpoints, v1/v2 drift), and Unsafe Consumption of third-party APIs. Works across REST, GraphQL, gRPC, SOAP, and MCP servers. Discovers APIs from OpenAPI/Swagger specs, GraphQL introspection, gRPC reflection, .well-known endpoints, JS bundles, and traffic capture. Uses kiterunner, ffuf, schemathesis, restler-fuzzer, openapi-fuzzer, graphql-cop, clairvoyance, batchql, inql, jwt_tool, postman, mitmproxy, and manual http(action="request", ...) payloads. Every technique includes actual payloads, commands, and verification logic. Chains from /pentester or /codebase when API endpoints are discovered, chains into /web-exploit when classic injection points are found in API parameters, chains into /post-exploit when RCE is achieved, and chains into /ai-redteam when an LLM/AI endpoint is discovered (chat APIs, completion endpoints, RAG search, agentic tool-use, MCP servers).

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。

Curate, review, or repair ai-gene-review ModuleReview YAML documents under modules/, including pathway/module boundary setting, parts and variant modeling, annoton-level molecular functions, representative UniProt/PTN grounding, module deep-research provenance, validation, rendering, and project batch updates.

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 developing GIMP 3.0+ plugins in Python 3 - procedure registration, image and layer operations, GEGL operations, PDB calls, dialogs and progress bars, file export, or batch processing plugins

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 integrating Celery with Django - task definition and calling, django-celery-beat scheduling, worker deployment, Flower monitoring, testing tasks, batch processing, or choosing between cron and beat

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。

Frappe LMS customization guidance for courses, batches, lessons, quizzes, assessments, enrollment, progress, certificates, portals, and learning workflows. Use when work touches Frappe LMS or education/training flows.

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。

WatermelonDB reactive local database for React Native - schema, models, decorators, reactive queries, relations, writers/readers, batch operations, migrations, sync

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React Native Skia GPU-accelerated 2D graphics - Canvas, declarative drawing, shaders, image filters, Paragraph text, Atlas batch rendering, Reanimated animations

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。