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相关工作；适用于实证型 CS 会议论文，按当前任务加载。

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。

图表、Caption 与排版；适用于实证型 CS 会议论文，按当前任务加载。

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。

全文整合、标题、讨论、结论与附录；适用于实证型 CS 会议论文，按当前任务加载。

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。

实验、评价与诊断；适用于实证型 CS 会议论文，按当前任务加载。

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 concise tutorial websites with task-oriented chapters, reusable templates, and coherent examples with matched highlights and margin notes.

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。

方法、任务定义与 Overview；适用于实证型 CS 会议论文，按当前任务加载。

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。

Implement tasks from an OpenSpec change. Use when the user wants to start implementing, continue implementation, or work through tasks.

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。

Guidance for Tauri v2 prerequisites and environment setup across macOS, Windows, Linux, and mobile Android iOS targets.

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 for this hackathon's channel template in apps/channel: CopilotKit Channels setup, thread context, tools, and native cards. Read before editing that app. This skill does not apply to the CopilotKit React web template or the React Native mobile app.

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 this whenever the user asks to "create a module", "scaffold a feature", "add a Vue domain", "new module called X", or starts work on a brand-new vertical (views + components + store + router entry + tests). Duplicates the canonical `src/modules/tasks` template, applies kebab/Pascal/camel/ UPPER renames, and wires config-driven values. Module stays self-contained.

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 this whenever the user asks to "implement", "add", "build", "create", or "modify" a feature, page, view, component, or module in this Vue project. Three phases: Phase 0 scope analysis (flows + edge cases + UI needs + plan validation, STOP for user), Phase 1 implementation (layered UI → Store → API, Vue 3 Composition + Vuetify 4, /ui design rules), Phase 2 Definition-of-Done checklist + /verify + /pull-request. Auto-runs /create-module if the target module doesn't exist.

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。

Iterative measurement-driven improvement loop. Measure, profile, mutate, re-measure, commit. Works for performance, bundle size, complexity, test coverage — anything quantifiable. Use when the user wants to systematically improve a metric through repeated cycles of profiling and targeted 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。

Use for hands-on Pulumi CLI work: running deployments, fixing broken stacks, and managing infrastructure state. Handles: recovering from stuck or interrupted `pulumi up` with pending operations, cleaning orphaned resources from state after out-of-band cloud deletions, protecting critical resources from accidental `pulumi destroy`, moving resources between stacks without recreating them, targeting specific resources during deployment, migrating between backends (local file to Pulumi Cloud, S3), stack lifecycle management, state export/import/repair, CI/CD pipeline setup, and importing existing cloud resources. Use this skill — not the language-specific Pulumi skills — whenever the user's question is about operating, troubleshooting, or recovering Pulumi infrastructure rather than writing program 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。

Detect project linting and validation tools, build an execution pipeline, run all tools to zero errors, and fix issues using an atomic fix protocol. Auto-detects Makefile targets, package.json scripts, Go tools, Python tools, and other common linters. Use when fixing linting errors, running validation pipelines, or ensuring code quality before committing.

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。

Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.

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 pulling or downloading a new llamacpp model. The active ROCm image (kyuz0/amd-strix-halo-toolboxes) fails to start in the ephemeral pull container without ROCm device access. Must temporarily switch to the standard CPU image.

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。

Fully autonomous bug hunting pipeline — discover bugs in a scoped area using parallel subagents, independently triage each finding, fix confirmed issues with subagents, then audit all fixes against repo constraints and target platforms. Runs end-to-end without user interaction.

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。

Improve an existing agent SKILL.md through one gated cycle: select the target (default this skill), snapshot the committed baseline, diagnose against skill-design-principles plus four rubric dimensions, apply exactly one focused change, and ship only if a different agent than the author PASSes with quoted evidence. Use when the user says "improve this skill", "improve-skill", "iterate on SKILL.md", or "apply skill-design-principles to a skill". Do not use for code slop over a duration (anneal), generic timeboxed work (timeboxed-iterating), graph orchestration (workgraph), metric hill-climb on a codebase (autoresearch), or stripping slop from existing prose (catalog-deslop).

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 a timeframe-bounded research dossier by decomposing a topic into year orchestrators and month-level research passes that each write one condensed paragraph plus sources directly into a target file. Use when the user asks for a dossier, timeline, chronology, release history, or month-by-month research bounded by specific years or months. Not for timeless explainers or single-document summaries with no temporal scope.

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。

Firmware development for the ProMicro nRF52840 (V1940) — the nice!nano v2 compatible clone also sold as SuperMini nRF52840, nRF52840 Pro Micro or nRFMicro (nRF52840 QIAA, Cortex-M4F @ 64 MHz, 1 MB flash / 256 KB RAM, BLE 5 + 802.15.4, native USB, Adafruit UF2 bootloader with SoftDevice S140). Covers the PlatformIO + Adafruit nRF52 Arduino setup for a board that ships in neither, the vendored board definition and Pro Micro pin map, USB CDC via TinyUSB, Bluefruit BLE, the 32.768 kHz crystal that clones omit, SAADC pins, NFC pins as GPIO, and Zephyr's promicro_nrf52840 board target. Use when working on this board or any nice!nano v2 / ZMK keyboard controller: project setup, platformio.ini, pin mapping, LED not blinking, double-tap RESET and UF2/DFU flashing, SoftDevice version mismatches, a board that enumerates but never runs, or debugging why something on the board does not 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。

Analyzes ELF binaries, executables, and firmware images to understand behavior without source code; coordinates sub-skills binary-re:triage, binary-re:static-analysis, binary-re:dynamic-analysis, binary-re:synthesis, and binary-re:tool-setup. Use when working with a binary, executable, or ELF file; asked to reverse engineer, disassemble, decompile, or figure out what something does; targeting ARM64, ARMv7, x86_64, or MIPS; or analyzing Python bytecode (.pyc, marshal). For Python bytecode analysis, see docs/python-bytecode-re.md.

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。

Outbound SDR (Sales Development Representative) operating system that runs the full top-of-funnel motion across HubSpot (CRM, engagement, and source of truth) and Exa (web research + signals). Use this skill WHENEVER the user is doing outbound sales development, building target/prospect lists, defining or refining an ICP, enriching leads, researching accounts or people before outreach, writing cold emails or multi-touch sequences, qualifying or scoring leads, logging activity to CRM, handing meetings off to AEs, or reporting on pipeline. Trigger it even when the user only says things like "find me 50 leads", "research this account", "write a cold email to this person", "score these leads", "log this in HubSpot", or "build a sequence"; these are all SDR tasks this skill governs. Do not wait for the user to say "SDR" or "prospecting" explicitly.

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。

Conduct a complete feature workflow in one skill — brainstorm, plan, TDD implementation, self-review, delivery summary — with hard gates between stages: no stage starts until the prior stage's artifact exists on disk (brainstorm note, plan doc, green tests per step)..

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 a production-grade Product Detail Page (PDP) optimized for the 2026 conversion benchmarks — 4-8% target vs 1.5-3% average. Triggers: "product page", "PDP", "product detail page", "Shopify product page", "ecommerce conversion".

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。