「struct」の検索結果

AI นักเขียนบท — หนัง, ซีรี่ส์, โฆษณา, Short Film — 3-act structure, beat sheet, dialogue, scene heading, character arc ฟอร์แมตบทไทยมาตรฐาน

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 กลยุทธ์ Ads — Google Ads, Meta (Facebook/IG), TikTok Ads — campaign structure, audience, creative brief, budget allocation, bid strategy สำหรับตลาดไทย

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。

Affiliate marketing AI — commission structure, partner outreach, tracking, dashboard

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。

Orchestrate AI coding agents (Claude Code, Codex, OpenCode) in isolated sandboxes using the @ai-hero/sandcastle SDK. Use when the user needs to (1) run agents AFK in Docker/Podman containers, (2) build multi-agent pipelines with plan-execute-review patterns, (3) run parallel agents on separate worktrees, (4) create iterative agent loops with maxIterations, (5) extract structured output from agent runs, (6) set up sandcastle in a new or existing project, or (7) write prompt files with template args and shell expressions.

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 work as an explicit event-driven state machine executed by subagents. The orchestrator is the runtime from the canonical loop — `state, effects = init(machine); execute(effects); while state is active: event = nextEvent(); state, effects = transition(machine, state, event); execute(effects); return state.output`. All routing judgment is authored ONCE, at plan time, into a machine file (states, event alphabet, transition table, budgets, final states); at runtime the orchestrator does pure table lookups and dispatches effects — it never decides, never authors, never ingests artifacts. Subagent/sync protocol is the timeboxed-iterating one: role prompts scaffolded once to disk and dispatched BY PATH, an initialiser preamble every subagent reads first, a self-populating cheatsheet, per-unit files, tiny structured returns, independent measurement gate. Use when the user says "workmachine", "run this as a state machine", "state-machine this", or when a goal has a small number of clearly named phases with explicit outcomes (built / passed / failed / blocked) and you want the routing to be auditable rather than judged on the fly. For clock-driven loops use timeboxed-iterating; for wide graphs with judged edge criteria use workgraph.

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。

Timeboxed ideation on a topic where lens-driven proposers generate structurally different ideas, blind critics cull them, and pairwise judges rank the survivors on a tournament ladder instead of 1-10 scores, evolving the leaders until the clock runs out. Use when the user wants to brainstorm, explore ideas, discover features, generate options, or think through possibilities for a specified duration. Triggers on requests like "brainstorm X for 30 minutes", "ideate on X", "spend an hour thinking about X", "what features should we build", "explore options for X". Not for executing a task over time (timeboxed-iterating) or optimizing a measurable metric (autoresearch).

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。

Systematically explore and test any software project (CLI, API, Backend, Library, etc.) to find bugs, usability issues, and edge cases. Produces a structured report with full reproduction evidence (exact commands, inputs, logs, and tracebacks) for every issue.

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 custom modules for [Harbor Boost](https://github.com/av/harbor/tree/main/boost), an optimizing LLM proxy. Use when building Python modules that intercept/transform LLM chat completions—reasoning chains, prompt injection, structured outputs, artifacts, or custom workflows. Triggers on requests to create Boost modules, extend LLM behavior via proxy, or implement chat completion middleware.

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 Waveshare ESP32-S3-RLCD-4.2 (SKU 33298 / 33507, and the -EN variant) — an ESP32-S3-WROOM-1-N16R8 AIoT board built around a 4.2" fully reflective 300x400 monochrome LCD on a Sitronix ST7305/ST7306, with no backlight, plus an ES8311 speaker codec, an ES7210 dual-microphone ADC, an SHTC3 temperature/humidity sensor, a PCF85063A RTC, a microSD/TF slot on SDMMC, an 18650 holder with battery sensing, BOOT/KEY/PWR buttons and a 2x8 2.54 mm expansion header. Use when working on this board: project setup, platformio.ini, the qio_opi PSRAM memory type, the pin map and which header pins are traps, U8g2 and the ST7305 constructor, a blank or shifted panel, ST7305 low-power mode HPM/LPM, the shared I2C bus and its four slaves, I2S audio directions and the speaker amplifier enable, mounting the TF card, battery voltage, USB CDC console with no UART bridge, flashing over Type-C, deep sleep, 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。

Firmware development for the Guition JC-ESP32P4-M3-DEV board (JC-ESP32P4-M3 module — ESP32-P4NRW32 with 32 MB in-package PSRAM, 16 MB flash, and an ESP32-C6 radio co-processor on SDIO) — its MIPI-DSI panel and MIPI-CSI camera connectors, IP101 Ethernet, ES8311 codec with speaker amplifier and microphone, microSD on SDMMC, RS485, three USB-C sockets, the 26-pin JP1 header, and the PlatformIO + ESP-IDF (pioarduino) setup around them. Use when working on this board or any ESP32-P4 devkit: project setup, platformio.ini and sdkconfig.defaults, the silicon revision split between rev v1.3 and rev v3.x, why the bootloader dies with "Illegal instruction", the pin map and which header pins are traps, Wi-Fi through esp_hosted and esp_wifi_remote, mounting the TF card and its on-chip LDO, bringing up a DSI panel, the shared I2C bus, audio direction and the amplifier enable, Ethernet RMII pins, choosing a free GPIO, flashing over any of the three USB-C ports, 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。

Firmware development for the LGT8F328P-LQFP32 MiniEVB — the Nano-style 30-pin "purple nano" board whose silkscreen reads LGTBF32BP (also sold as BTE21-15A, WAVGAT, LGT8F328P Nano V3.0), built on the Logic Green / Prodesign LGT8F328P, an AVR-instruction-compatible LGT8XM part with a 32 MHz internal RC and no crystal, a 12-bit ADC, an 8-bit DAC on D4, four timers, 80 mA drive pins, SWD instead of ICSP, and EEPROM emulated in program flash. Use when working on this board, any LGT8F328P/LGT8F328D/LGT8FX8P board, or a sketch being ported from an Arduino Nano or ATmega328P: PlatformIO setup with the lgt8fx core, platformio.ini, f_cpu/f_osc/clock_source and why timings come out 2x wrong, pin mapping and the LQFP32 bonded pads, analogRead resolution and reference errors, analogWrite hitting the DAC, EEPROM vanishing after upload, 80 mA outputs, upload failures over CH340/CH9340/HT42B534, SWD recovery, 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。

Firmware development for the Guition JC4880P443C_I_W (JC4880P443, JC4880P443C, often mistyped JC4880P433) — a 4.3" 480x800 IPS touch display board on the JC-ESP32P4-M3 module (ESP32-P4NRW32, 32 MB PSRAM, 16 MB flash, ESP32-C6 Wi-Fi co-processor on SDIO) — its ST7701S MIPI-DSI panel, GT911 touch, backlight, ES8311 codec with speaker amp and mic, microSD, RS485, battery charger, 2x13 header, and the PlatformIO + ESP-IDF (pioarduino) setup around them. Use when working on this board: project setup, platformio.ini and sdkconfig.defaults, the P4 silicon revision and an "Illegal instruction" boot, a black DSI screen, ST7701 init sequence and timings, GT911 init errors, backlight PWM, choosing a free GPIO, Wi-Fi through esp_hosted and esp_wifi_remote, SD card, audio, flashing over USB-C, 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。

Thorough, consistently formatted competitor and product research. Produces a structured "About" doc, a "Recent News" log, and a row in a tracking spreadsheet. Use whenever the user researches a company or competitor, builds or updates a competitor doc, compares products, or logs a competitor to the tracker.

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。

Neuroscience expert covering brain structure, neural signaling, cognition, and neurological disorders

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。

Structured Zettelkasten workflow for AMD — observe, draft, enrich, retrieve, decide, preview, write, verify. Produces high-quality atomic knowledge cards with deliberate linking.

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。

Expert in narrative structure, character development, plot pacing, and compelling storytelling

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。

Expert in groups, rings, fields, and algebraic structures with applications to cryptography and number theory

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 Terraform infrastructure-as-code for AWS, GCP, or Azure. Creates modular VPC, compute, database, cache, CDN, and monitoring configs with per-environment sizing, remote state, cost estimates, and security best practices..

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。

Generates structured engineering specs (backend or frontend) from feature descriptions, designs, or ticket references. Triggers on "spec", "story", "ticket", "engineering spec", "write a story for", "write a spec for", "create a ticket for".

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 and deploy Flutter apps to App Store (TestFlight) and Google Play (internal/production). Auto-detects project structure, pulls signing secrets from AWS Secrets Manager, installs certificates, bumps build numbers, and runs Fastlane. Fully autonomous.

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。

Publishes structured, actionable artifacts from Claude Code sessions — PR walkthroughs, incident timelines, system explainers, release checklists, and security audits.

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。

Set up application observability with Prometheus, Grafana, Datadog, or CloudWatch — instrument metrics endpoints, configure Golden Signal dashboards, define alert rules with burn-rate SLOs, and add structured logging

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 full retrospective and dev cycle analysis. Chains /recall → /new-features to reconstruct what went wrong, extract lessons learned, identify rework patterns, and synthesize feature ideas from the findings. Triggers: retrospective, retro, dev cycle analysis, what went wrong, lessons learned, postmortem, sprint retro.

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。

Generates production-ready Terraform files for AWS infrastructure. Writes complete .tf files for any cloud architecture — no deployment, just file generation.

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。